FICO (NYSE: FICO) is a leading global analytics software company, helping businesses in 100+ countries make better decisions. Join our world-class team today and fulfill your career potential!The Opportunity The myFICO (Scores B2C) engineering team is seeking a Lead Data Scientist to build and run machine learning and Generative AI solutions in our consumer applications. This lead-level software engineering role builds the data pipelines that prepare large datasets for modeling, develops ML models and puts them into production with monitoring and retraining, and measures business impact through experimentation. You will also set ML engineering best practices for the team. What You’ll Contribute <ul><li>Build and maintain Python data pipelines that ingest, clean, and transform large datasets into reliable, analysis-ready data and ML features.</li></ul><ul><li>Profile and validate data, and put quality checks in place so models and analyses can be trusted.</li></ul><ul><li>Develop machine learning models, such as propensity, churn, segmentation, and forecasting, from problem framing through evaluation.</li></ul><ul><li>Deploy models to production in AWS for batch and real-time scoring, monitor performance and drift, and automate retraining.</li></ul><ul><li>Design, evaluate, and improve LLM prompts, and integrate Generative AI capabilities into existing applications.</li></ul><ul><li>Design and analyze A/B tests to measure business impact, and explain results to product and marketing partners.</li></ul><ul><li>Lead design discussions and code reviews, mentor engineers and analysts, and set ML engineering best practices.</li></ul><ul><li>Partner with database engineering, product management, and InfoSec to build secure, compliant solutions that handle sensitive consumer data responsibly.</li></ul><ul><li>Use AI coding assistants and agentic workflows, such as Claude Code, Cursor, and GitHub Copilot, to accelerate delivery while reviewing and refining their output. </li></ul>What We’re Seeking <ul><li>Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field, with demonstrated experience in data science, machine learning engineering, or applied AI, including models running in production.</li></ul><ul><li>Strong Python for data engineering and ML (pandas, NumPy, scikit-learn, PySpark), with comfort working in Jupyter notebooks.</li></ul><ul><li>Proven experience building data pipelines and processing large datasets with Spark, Redshift, or similar technologies, plus expert SQL skills for complex queries on large datasets.</li></ul><ul><li>Hands-on experience with ML frameworks such as XGBoost, TensorFlow, or PyTorch.</li></ul><ul><li>Experience operationalizing ML models, including deployment, monitoring, retraining, and CI/CD (SageMaker, MLflow, Docker, or similar), and running data and ML workloads in AWS (S3, Glue, Lambda, Bedrock, or similar).</li></ul><ul><li>Experience with LLMs (Claude, OpenAI GPT, or similar), including prompt design, evaluation, and deploying Generative AI solutions in production.</li></ul><ul><li>Strong grounding in statistics, experimental design, and hypothesis testing.</li></ul><ul><li>Production ownership, including code review, release management, and mentoring, with the ability to explain technical results to non-technical partners.</li></ul><ul><li>Experience with RAG workflows, vector stores, MCP server integrations, LLM fine-tuning, workflow orchestration (Airflow, Step Functions), or regulated consumer data such as credit and financial services is a plus. </li></ul>Our Offer to You <ul><li>An inclusive culture strongly reflecting our core values: Act Like an Owner, Delight Our Customers and Earn the Respect of Others.</li></ul><ul><li>The opportunity to make an impact and develop professionally by leveraging your unique strengths and participating in valuable learning experiences.</li></ul><ul><li>Highly competitive compensation, benefits and rewards programs that encourage you to bring your best every day and be recognized for doing so.</li></ul><ul><li>An engaging, people-first work environment offering work/life balance, employee resource groups, and social events to promote interaction and camaraderie.</li><li>The targeted base pay range for this role is: $105,000 to $165,000 with this range reflecting differences in candidate knowledge, skills and experience. </li></ul>Why Make a Move to FICO?At FICO, you can develop your career with a leading organization in one of the fastest-growing fields in technology today – Big Data analytics.  You’ll play a part in our commitment to help businesses use data to improve every choice they make, using advances in artificial intelligence, machine learning, optimization, and much more. FICO makes a real difference in the way businesses operate worldwide:•    Credit Scoring — FICO® Scores are used by 90 of the top 100 US lenders.•    Fraud Detection and Security — 4 billion payment cards globally are protected by FICO fraud systems.•    Lending — 3/4 of US mortgages are approved using the FICO Score.Global trends toward digital transformation have created tremendous demand for FICO’s solutions, placing us among the world’s top 100 software companies by revenue. We help many of the world’s largest banks, insurers, retailers, telecommunications providers and other firms reach a new level of success. Our success is dependent on really talented people – just like you – who thrive on the collaboration and innovation that’s nurtured by a diverse and inclusive environment. We’ll provide the support you need, while ensuring you have the freedom to develop your skills and grow your career.  Join FICO and help change the way business thinks!Learn more about how you can fulfil your potential at <a href="http://www.fico.com/Careers">www.fico.com/Careers</a>FICO promotes a culture of inclusion and seeks to attract a diverse set of candidates for each job opportunity. We are an equal employment opportunity employer and we’re proud to offer employment and advancement opportunities to all candidates without regard to race, color, ancestry, religion, sex, national origin, pregnancy, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Research has shown that women and candidates from underrepresented communities may not apply for an opportunity if they don’t meet all stated qualifications. While our qualifications are clearly related to role success, each candidate’s profile is unique and strengths in certain skill and/or experience areas can be equally effective. If you believe you have many, but not necessarily all, of the stated qualifications we encourage you to apply.Information submitted with your application is subject to the FICO Privacy policy at <a href="https://www.fico.com/en/privacy-policy">https://www.fico.com/en/privacy-policy</a>

Software Engineering - Lead Data Scientist

<div>Astera Labs (NASDAQ: ALAB) provides rack-scale AI infrastructure through purpose-built connectivity solutions. By collaborating with hyperscalers and ecosystem partners, Astera Labs enables organizations to unlock the full potential of modern AI. Astera Labs’ Intelligent Connectivity Platform integrates CXL®, Ethernet, NVLink, PCIe®, and UALink™ semiconductor-based technologies with the company’s COSMOS software suite to unify diverse components into cohesive, flexible systems that deliver end-to-end scale-up, and scale-out connectivity. The company’s custom connectivity solutions business complements its standards-based portfolio, enabling customers to deploy tailored architectures to meet their unique infrastructure requirements. Discover more at www.asteralabs.com. </div><div>Senior Software Engineer – AI for RTL Design &amp; Formal Verification </div><div>Join Astera Labs' AppliedAI organization, where we're building the connectivity infrastructure that powers AI and cloud data centers. Our team sits at the intersection of digital and analog design, verification, and AI tooling, tackling the complexity of next-generation semiconductor products at the pace our industry demands. We're looking to develop and deploy AI-driven agents that accelerate RTL and physical design, static analysis, and formal verification workflows. The ideal candidate combines a strong ASIC and software engineering background with hands-on exposure to digital or analog design or verification, and is excited to apply LLMs and agentic systems to real chip design problems. </div><div>What You'll Be Doing </div><div>Design, develop, and deploy AI applications using LLMs, agentic frameworks, and related technologies to support RTL, physical and analog design, static/lint checking, and formal verification flows. Build infrastructure to deploy LLM-powered engineering assistants and multi-turn dialogue systems that help designers and verification engineers debug faster and close coverage sooner. Develop agentic AI solutions for tasks such as RTL rule and lint checking, RTL optimization, bug triage, formal proof convergence, and static verification report analysis; fine-tune and integrate these solutions with existing CAD/EDA flows. Build and maintain design databases and dashboards that combine agentic and deterministic retrieval to surface relevant engineering data and speed up design closure. Collaborate closely with RTL design, DV, formal verification, and CAD/EDA teams to understand pain points and translate them into AI-assisted tooling. </div><div>Basic Qualifications </div><ul><li>Bachelor's, Master's degree in Electrical Engineering, Computer Science/Engineering, or equivalent experience.</li><li>4-10 years of industry experience in software engineering, with direct exposure to RTL design, static/lint verification, or formal verification methodologies.</li><li>Proficiency in Python for rapid prototyping, with strong fundamentals in data structures, algorithms, and software engineering practices.</li><li>Experience with LLMs, including fine-tuning, building multi-agent systems, RAG pipelines, and vector databases.</li><li>Familiarity with RTL design languages (Verilog/SystemVerilog) and formal/static verification tools (e.g., JasperGold, VC Formal, or similar) is strongly preferred.</li><li>Strong analytical, communication, and interpersonal skills, with a proven ability to work effectively in a fast-paced, cross-functional startup environment.</li><li>A proactive, self-directed approach to problem-solving and comfort operating with ambiguity.</li></ul><div>Ways to Stand Out </div><ul><li>Direct experience applying AI/ML techniques to EDA or CAD flow problems.</li><li>Proficiency in modern software engineering practices, including version control, testing, and CI/CD.</li><li>Experience with formal property verification, assertion-based verification (SVA), or static timing/lint tools.</li><li>A track record of learning across disparate domains (AI/ML and hardware design) and combining them into novel engineering solutions.</li></ul><div>Salary range is $160,500 to $200,000 depending on experience, level, and business need. This role may be eligible for discretionary bonus, incentives and benefits. </div><div>We know that creativity and innovation happen more often when teams include diverse ideas, backgrounds, and experiences, and we actively encourage everyone with relevant experience to apply, including people of color, LGBTQ+ and non-binary people, veterans, parents, and individuals with disabilities. </div>Departments: Applied AI

Senior Software Engineer – AI for RTL Design & Formal Verification

About the Team/RoleWe are seeking a Senior Engineering Manager in the WEX Corporate Payments Engineering organization. This role will lead an engineering team for the WEX EnCompass platform applications. EnCompass is the customer facing user experience and technical integrations for Corporate Payments customers, including UIs, APIs, webhooks, and data streams.How you’ll make an impact:<ul><li>Develop, drive and execute a long-term vision and strategy for the Corporate Payments cross-cutting and core services. </li><li>Collaboratively define and implement a comprehensive architectural roadmap for the EnCompass platform, aligning with business objectives, industry best practices, and other Corporate Payments teams. </li><li>Foster a culture of innovation, collaboration, empowerment, and continuous learning within the engineering teams.</li><li>Continuously challenge the status quo and implement mechanisms to reduce time-to-market using efficient engineering methods.</li><li>Collaborate with other Corporate Payments engineering teams to reuse development practices and components to reduce duplication.</li><li>Craft, lead, manage, and grow high-performance engineering teams. Hire, coach, promote, and retain high performers to achieve WEX goals.</li><li>Work closely with product and commercial partners to drive, prioritize, and work backwards from the customer requirements and exceed expected outcomes.</li><li>Drive effective monthly, weekly, and quarterly mechanisms to plan, execute, and audit workstreams. </li><li>Establish a robust and clear engineering roadmap to maintain clarity and motivation for the engineering team. Maintain career growth plans and provide monthly and quarterly feedback for individuals’ continual progress.</li></ul>Experience you'll bring:<ul><li>6+ years of experience in software engineering with 4+ years of engineering management experience.</li><li>Expertise in rapid development and deployment of internal and external services using cloud computing platforms such as AWS or Azure.</li><li>Experience writing high-quality automation, including well-formed unit, component, and integration tests and an in-depth understanding of the test pyramid.</li><li>Strong understanding of security and compliance requirements in cloud and data environments.</li><li>Excellent leadership, team-building, and dynamic decision-making skills.</li><li>Ability to deal with ambiguity and thrive in a fast-paced, dynamic environment.</li><li>Excellent verbal and written communication skills.</li></ul>Preferred Qualifications:<ul><li>Experience building applications in the finance space, such as credit card products, accounts receivables/payables, etc. </li><li>Experience working with geographically distributed teams, and ability to craft self-managing distributed teams.</li></ul>The base pay range represents the anticipated low and high end of the pay range for this position. Actual pay rates will vary and will be based on various factors, such as your qualifications, skills, competencies, and proficiency for the role. Base pay is one component of WEX's total compensation package. Most sales positions are eligible for commission under the terms of an applicable plan. Non-sales roles are typically eligible for a quarterly or annual bonus based on their role and applicable plan. WEX's comprehensive and market competitive benefits are designed to support your personal and professional well-being. Benefits include health, dental and vision insurances, retirement savings plan, paid time off, health savings account, flexible spending accounts, life insurance, disability insurance, tuition reimbursement, and more. For more information, check out the "About Us" section.Pay Range: $150,600.00 - $180,100.00

Software Development Manager

<h2>Job Description:</h2>Building trusted markets — powered by our people At Cboe Global Markets, we inspire our people to solve complex challenges together because what we do matters. We provide the financial infrastructure that powers the global economy. As a leading provider of market infrastructure and tradable products, Cboe delivers cutting-edge trading, clearing and investment solutions to market participants around the world.  We're building meaningful ways to support professional and personal development while strengthening the trust we've earned as a global market leader. Our teams are empowered to share ideas, actively pursue them and bring on a challenge. As champions of internal mobility and access to opportunity, we encourage our people to “go for it” and equip our managers with the training to coach their teams to the next level. We strive to provide employees a safe space to network, share ideas and create opportunities.  To support strong partnership and team connection, this role follows a four day in office work model.  Location Overview: Cboe HQ is located in the historic Old Post Office district, it’s a landmark that blends classic architecture with modern amenities. The building features expansive spaces with high ceilings and large windows, offering an abundance of natural light and panoramic views of the city skyline and the Chicago River.  With its prime location in the heart of downtown, the OPO Building provides easy access to major transportation hubs, including Union Station and multiple CTA lines, making it convenient for commuters. The building is home to a variety of amenities, including restaurants, a fitness center, and collaborative workspaces, creating a vibrant and dynamic work environment in one of Chicago's most iconic areas.  Role Overview Cboe Clear U.S. (CCUS) is a regulated clearinghouse. We clear the event contracts and prediction markets listed on Cboe's exchanges, and we are building toward tokenized collateral, 24x7 operation, and the infrastructure that carries traditional finance onto DeFi rails.  CCUS Software Engineering is a high trust environment. Failure leads to inquiry rather than blame. Working across team boundaries is expected rather than tolerated. We solve the problem, then we write the code. Design documents and architecture decision records come first. The engineers we value most close their feedback loop. They write tests, and they instrument what they ship so it fails fast, explains itself in production, leaves an audit trail and rolls back cleanly.  The DevEx Engineer builds the pipelines, tooling and observability every other engineer here depends on. You would be one of the first engineers on a new developer experience team, which means you help choose the tooling and set the standards rather than arrive after those decisions are made. That scope is unusual for an individual contributor role and it is the strongest reason to take this job.  Your responsibilities will be: <ul><li>Building and maintaining our CI pipelines in GitHub Actions, and integrating them with the platform team's deployment tooling. </li></ul><ul><li>Owning the Helm charts and values that define how our services run in each environment. </li></ul><ul><li>Instrumenting those pipelines to produce real metrics on our software delivery lifecycle. </li></ul><ul><li>Wiring observability into our microservices so engineers can diagnose behavior in production rather than reproduce it locally, including logging, tracing and retention. </li></ul><ul><li>Defining service level objectives for the services this team provides, and holding them to an error budget. </li></ul><ul><li>Making the path to production push button and reversible, so releases and rollbacks are routine, automated and low risk. </li></ul><ul><li>Creating tooling that measurably improves how quickly and safely other engineers ship. </li></ul><ul><li>Deploying and operating containerized services on Kubernetes. </li></ul><ul><li>Managing infrastructure as code and keeping environments consistent and reproducible. </li></ul><ul><li>Participating in incident response and turning findings into durable fixes rather than repeat tickets. </li></ul><ul><li>Contributing to disaster recovery testing and the validation of recovery objectives. </li></ul><ul><li>Documenting decisions in architecture decision records so choices stay visible to other teams. </li></ul> Required: <ul><li>Supporting developer experience across the delivery lifecycle, from build and test through deployment and observability </li></ul><ul><li>Experience building and operating production application services, in Java or a comparable language, before moving into developer tooling </li></ul><ul><li>Instrumenting services and pipelines for observability, including the metrics, logs and traces that make runtime behavior visible </li></ul><ul><li>Defining service level objectives and running to an error budget, with alerting that reflects user impact rather than machine noise </li></ul><ul><li>Reducing deployment pain through automation, so changes reach production on a repeatable path with a low change failure rate and fast time to restore service </li></ul><ul><li>A bias toward automating repeated work permanently rather than performing it twice </li></ul><ul><li>Strong Linux fundamentals and comfort operating containerized services on Kubernetes, Nomad or similar orchestrators </li></ul> Preferred: <ul><li>Proficiency in Python, Terraform and YAML, which is what most of this work is actually written in </li></ul><ul><li>Container runtimes such as Docker or Podman </li></ul><ul><li>GitOps deployment workflows </li></ul><ul><li>Building CI pipelines and integrating them with deployment tooling you did not write </li></ul><ul><li>Shell scripting and comfort automating around tools that lack an API </li></ul><ul><li>Incident response and disaster recovery testing </li></ul><ul><li>Financial markets infrastructure or other regulated, latency-sensitive systems </li></ul> Nice to have: <ul><li>Cloud platforms including AWS, Azure or GCP </li></ul><ul><li>AI-assisted development tooling </li></ul><ul><li>Working SQL and comfort with PostgreSQL </li></ul><ul><li>Experience standing up a platform function from scratch </li></ul> Current technology stack: Java on Kubernetes. Application code and CI pipelines live in GitHub with GitHub Actions. Container images and build artifacts live in registries such as Harbor and Artifactory, and Helm charts are deployed by ArgoCD from a GitOps repository. PostgreSQL, Kafka and Linux. This is representative rather than exhaustive. Our platform team runs the deployment platform on its own tooling, in its own repositories, so a real part of this role is integrating cleanly across that boundary and telling them what our application developers need. You do not need experience with every technology in our environment. We hire for competencies over pedigree, so if you have built similar systems and learn quickly, we encourage you to apply.  Minimum Work Experience: 5+ years in platform engineering, developer experience, infrastructure or reliability engineering Minimum Education: Bachelor's in Computer Science or a related discipline, or equivalent practical experience   This position is not eligible for visa sponsorship. Candidates must be legally authorized to work in the United States without the need for employer sponsorship now or in the future.  Salary Ranges (applicable for US locations only)At Cboe, we are committed to providing a competitive, transparent, and market‑informed total rewards program. The anticipated base salary range for this role is $102,850-$133,100, with actual compensation determined by job‑related factors such as skills, relevant experience, education, internal alignment, and location.  This role may also be eligible for annual incentive compensation and, where applicable, participation in Cboe's long-term equity programs.Additional information about Cboe's total rewards program, including benefits and other compensation components, can be found here: <a href="https://careers.cboe.com/us/en/benefits-and-perks">Total Rewards at CBOE</a>.​    Any communication from Cboe regarding this position will only come from a Cboe recruiter who has a @cboe.com email or via LinkedIn Recruiter. Cboe does not use any other third party communication tools for recruiting purposes.

DevEx Engineer

SummaryGuidewire’s Generative AI (GenAI) team sits within Product Strategy and plays a critical role in shaping the future of our cloud and AI-powered platform for P&amp;C insurers worldwide. We partner closely with Product, Engineering, and Go-to-Market teams to embed AI, cloud, and data capabilities across the portfolio, enabling secure, scalable, and reliable solutions for our customers. You’ll join a highly collaborative, hands-on engineering culture focused on experimentation, learning, and shipping production-grade AI at scale. As a Senior ML Engineer, Generative AI, you will be a technical leader driving the design, development, and operation of Guidewire’s end-to-end GenAI solutions and Large Language Model (LLM) capabilities. You will own critical components of our LLM infrastructure, from data pipelines and prompt engineering through fine-tuning, deployment, and monitoring of models in production. This role is ideal for someone who wants to shape next-generation AI solutions that directly power insurance workflows, support our Agentic AI product vision, and help deliver measurable outcomes for customers globally.Job Description<h3>What you’ll do</h3><ul><li>Lead the design, implementation, and evolution of Guidewire’s GenAI and LLM products, including data ingestion, feature pipelines, model training, fine-tuning, deployment, and monitoring on AWS (e.g., S3, EC2, RDS, SageMaker).</li><li>Architect and build robust ML/LLM pipelines that power high-impact use cases such as claim summarization, underwriting assistance, pricing and rating intelligence, and developer productivity tools across our product portfolio.</li><li>Develop and optimize LLM solutions using techniques such as prompt engineering, retrieval-augmented generation (RAG), vector databases, and fine-tuning to deliver reliable, safe, and high-performing experiences for insurance users.</li><li>Collaborate with Product Strategy, PDO, and Professional Services teams to align GenAI capabilities with the broader Product VPMOM, Agentic AI product roadmap, and customer adoption goals (including Claims Summary, Underwriting Assistant, Codelift, and other GenAI “lifts”).</li><li>Establish and apply ML Ops best practices for CI/CD, experimentation, evaluation, observability, and responsible AI, ensuring models are auditable, secure, and production-ready at scale.</li><li>Mentor and coach engineers and data scientists, conduct code and design reviews, and champion technical excellence, including performance, reliability, and cost efficiency of AI workloads.</li><li>Partner with cross-functional teams (Security, Finance, BizTech, GTM) to ensure AI solutions adhere to data governance and security controls, and contribute to Guidewire’s mission to transform how P&amp;C insurers do business through cloud, analytics, and AI.</li><li>At Guidewire, we foster a culture of curiosity, innovation, and responsible use of AI—empowering our teams to continuously leverage emerging technologies and data-driven insights to enhance productivity and outcomes.</li></ul> <h3>What you’ll bring</h3><h3>Required</h3><ul><li>Demonstrated ability to embrace AI and apply it to your current role as well as data-driven insights to drive innovation, productivity, and continuous improvement.</li><li>5+ years of professional experience in Machine Learning and/or Data Science, including end-to-end delivery of production ML systems.</li><li>Deep expertise in Python and experience building scalable ML/LLM services and pipelines, ideally on AWS using services such as S3, EC2, RDS, and SageMaker.</li><li>Strong understanding of ML Ops practices for model development, deployment, monitoring, and lifecycle management (including CI/CD for ML, experiment tracking, model registries, and drift detection).</li><li>Hands-on experience with classical and gradient-boosting models (such as GLM, Random Forest, and XGBoost) and their application to real-world business problems.</li><li>Deep understanding of neural networks and transformer-based architectures for LLMs and chat models, including familiarity with open-source foundation models and their fine-tuning and inference.</li><li>Experience with prompt engineering, RAG and related LLM architecture patterns, and vector databases for semantic search and retrieval.</li><li>Solid knowledge of evaluating and monitoring LLM performance using NLP and LLM-assisted metrics, with a focus on safety, robustness, and user experience.</li><li>Demonstrated technical leadership: driving design decisions, leading complex engineering efforts, mentoring peers, and conducting thoughtful code and architecture reviews.</li><li>*****MUST HAVE GUIDEWIRE EXPERIENCE*******</li></ul> <h3>Preferred</h3><ul><li>Bachelor’s or Master’s Degree in Computer Science, or equivalent practical experience.</li><li>Experience building data pipelines and features using SQL, Spark, or AWS Glue.</li><li>Experience with containerization and orchestration (Docker, Kubernetes) and creating backend APIs to expose ML/LLM services.</li><li>Familiarity with CI/CD and infrastructure-as-code practices and tools such as TeamCity and Terraform.</li><li>Background in insurance, banking, or financial services, or interest in becoming deeply fluent in P&amp;C insurance to better shape high-value AI and GenAI use cases.</li></ul> <h3>Your Impact</h3>We believe in clarity and setting you up for success. In your first months, you’ll immerse yourself in Guidewire’s Product Strategy and GenAI roadmap, learn our cloud and data platform, and take ownership of one or more core components of the GenAI platform such as data pipelines, evaluation frameworks, or a flagship LLM-powered feature. Within six months, you’ll be leading the design and rollout of new GenAI use cases across products like Claims Summary, Underwriting Assistant, and developer tooling, delivering measurable “GenAI lifts” that improve efficiency, accuracy, and user experience for our customers. Your work will directly advance Guidewire’s mission to transform how P&amp;C insurers operate with cloud and AI, enabling secure, scalable, and impactful AI solutions that support billions of dollars in insurance transactions and help shape the future of the industry worldwide. <h3>What’s in it for you</h3>The people we employ give their all, and in return, we offer flexibility wherever we can, such as:<ul><li>Flexible work environment.</li><li>Health and wellness benefits.</li><li>Paid time off programs including volunteer time off.</li><li>Market-competitive pay and incentive programs.</li><li>Continual development and internal career growth opportunities.</li></ul> You will also participate in our in-person orientation process, which is part of how we build connection, collaboration, and a shared understanding of Guidewire’s mission to combine digital, core, analytics, and AI to transform how P&amp;C insurers do business.&amp;#xa;The US base salary range for this full-time position is $162,000 - $258,000. Your base pay will depend on your experience, skills, education, training, and location among other factors. All full-time positions or part-time roles working 30 hours or more a week at Guidewire are eligible for benefits that support their health and well-being including health, dental, and vision insurance, paid time off, and a company sponsored retirement plan. In addition, some roles may be eligible for the annual company bonus plan, commissions, and/or long term incentive awards which are contingent on a variety of factors including, but not limited to, company and employee performance.&amp;#xa;&amp;#xa; About Guidewire Guidewire is the platform P&amp;C insurers trust to engage, innovate, and grow efficiently. We combine digital, core, analytics, and AI to deliver our platform as a cloud service. More than 540+ insurers in 40 countries, from new ventures to the largest and most complex in the world, run on Guidewire. As a partner to our customers, we continually evolve to enable their success. We are proud of our unparalleled implementation track record with 1600+ successful projects, supported by the largest R&amp;D team and partner ecosystem in the industry. Our Marketplace provides hundreds of applications that accelerate integration, localization, and innovation. For more information, please visit www.guidewire.com and follow us on Twitter: @Guidewire_PandC. Guidewire Software, Inc. is proud to be an equal opportunity and affirmative action employer. We are committed to an inclusive workplace, and believe that a diversity of perspectives, abilities, and cultures is a key to our success. Qualified applicants will receive consideration without regard to race, color, ancestry, religion, sex, national origin, citizenship, marital status, age, sexual orientation, gender identity, gender expression, veteran status, or disability. All offers are contingent upon passing a criminal history and other background checks where it's applicable to the position. Guidewire is proud to be a disability inclusive employer. We are committed to providing individualized accommodations and support to candidates for any part of our hiring process. If you think you may need disability-related accommodations, please email EmployAbility at accommodations-gw@employ-ability.org.uk, our disability partner, or <a href="https://calendar.app.google/Pz47ZoQHihFTJugX8">schedule a call with an EmployAbility expert</a> (calendar booking slot) for a confidential conversation.

Senior Machine Learning Engineer

<h1>Job Description</h1>These internships will join our Milwaukee engineering teams working on various software development projects, software test projects, or dev-ops infrastructure projects.   Assignments will be based on individual skill sets, areas of interest, and areas of need that Cognex has.  Demonstrated skill and passion for software development may lead to more complex development assignments over the course of the internship. All positions will be evaluated at the end of the summer to determine student and Cognex interest in continuing the internship part-time through the next school year or summer. Availability:  Part time during school year to Full-Time Summer 2027Qualifications:  Currently enrolled in or completed Freshman year of undergradDegrees:  Computer Engineering, Software Engineering, Computer Science Submit your resume and transcripts and let’s have a conversation about how you can make a difference on our growing team!  <h1>Additional Job Description</h1>Equal Employment OpportunityCognex is an equal opportunity employer. Cognex evaluates qualified applicants without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity or expression, protected veteran status, disability/handicap status or any other legally protected characteristic.

Software Engineering Intern

Monolithic Power Systems, Inc. (MPS) is one of the fastest growing companies in the Semiconductor industry. We are worldwide technical leaders in Integrated Power Semiconductors and Systems Power delivery architectures. At MPS, we cultivate creativity, are passionate about sustainability, and are committed to providing leading-edge products and innovation to our customers. Our portfolio of technology helps power our world ---come join our team and see how YOU can make a difference.Job Description:MPS is seeking a hands‑on, technically exceptional Software Engineer to support the software strategy, architecture, and execution for our Building Automation Systems product line. The Building Automation Systems (BAS) group develops integrated hardware, firmware, and software platforms that power next‑generation commercial building controls, energy management systems, and intelligent automation technologies. This candidate will own the full tech stack—from software, to embedded firmware and device connectivity to cloud services, data pipelines, and user‑facing applications. This role is ideal for someone who thrives in high‑performance hardware‑plus‑software environments, understands real‑time control systems, and can scale a platform that integrates IoT devices, sensors, gateways, cloud analytics, and building‑level automation workflows. You will shape the software direction of MPS’s Kinexis Smart Building Automation platform, build and mentor a world‑class engineering team, and partner closely with hardware, product, and systems engineering to deliver reliable, secure, and scalable solutions for commercial buildings worldwide. Key Responsibilities: Technical Leadership &amp; Architecture<ul><li>Own the end‑to‑end architecture of the platform ecosystem, including software, embedded firmware, device communication protocols, cloud services, data pipelines, and user applications.</li><li>Define and enforce architectural standards for reliability, security, scalability, and long‑term maintainability.</li><li>Drive innovation in real‑time control, sensor fusion, energy optimization algorithms, and building‑level automation logic.</li><li>Build, mentor, and scale a high‑performing software engineering organization.</li></ul> Execution &amp; Delivery<ul><li>Provide hands‑on technical leadership while guiding teams across embedded, cloud, and application layers.</li><li>Oversee development of mission‑critical firmware for controllers, sensors, and power modules used in building automation systems.</li><li>Ensure high‑quality engineering delivery through strong CI/CD, automated testing, observability, and performance monitoring practices.</li><li>Partner with internal and external teams to ensure seamless integration between platform components, modules, and third party interfaces.</li></ul> Cross‑Functional Collaboration<ul><li>Work closely with hardware, firmware, systems engineering, product, QA, manufacturing, and field engineering teams.</li><li>Translate customer requirements, building‑automation standards, and regulatory constraints into robust software solutions.</li><li>Support key customer engagements, technical deep dives, and strategic partnerships.</li></ul> Quality, Security &amp; Compliance<ul><li>Ensure platform reliability, cybersecurity, and data integrity across all BAS software components.</li><li>Lead efforts around secure boot, encrypted communication, OTA update security, and compliance with building‑automation standards.</li><li>Drive continuous improvement in system robustness, fault tolerance, and long‑term maintainability.</li></ul> Qualifications: Required<ul><li>10+ years of professional software engineering experience, including 5+ years in a senior technical leadership role.</li><li>Proven experience building and scaling complex, multi‑layered platforms (software + embedded + cloud + applications).</li><li>Strong background in embedded systems, real‑time firmware, IoT connectivity, and device‑to‑cloud architectures.</li><li>Expertise with modern cloud infrastructure (AWS, Azure, or equivalent) and scalable backend design.</li><li>Experience with communication protocols common in building automation (BACnet, Modbus, MQTT, BLE, Zigbee, or similar).</li><li>Demonstrated ability to lead teams, influence cross‑functional stakeholders, and deliver high‑reliability systems.</li><li>Bachelor’s degree in Computer Science, Electrical Engineering, or related field.</li></ul> Preferred<ul><li>Experience in building automation, industrial controls, energy management, or IoT device ecosystems.</li><li>Familiarity with power electronics, sensor systems, or hardware‑software co‑design.</li><li>Experience with OTA update systems, device provisioning, and secure embedded architectures.</li><li>Prior leadership in high‑growth or hardware‑centric technology companies.</li><li>Master’s degree in engineering or related discipline.</li><li>Mandrin Chinese proficiency is strongly preferred.</li></ul> MPS offers a comprehensive benefits package. We provide health care coverage, dental and vision, and life and disability protection. Employees in sales positions may be eligible for our sales incentive bonuses. Employees in certain positions may be eligible for stock compensation. For more information on MPS’ benefits please view our company website at <a href="https://nam04.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.monolithicpower.com%2F&amp;data=05%7C01%7Cbsmartell%40littler.com%7Cffac1c9a33e4443cfedd08daa223f177%7C34ef7323bbf64e6d88af3843b93ce673%7C0%7C0%7C638000572513779016%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&amp;sdata=ei2kxRCqb%2FXStEqV9Be1XLbPp8HQsc2ENtzXHR4phWY%3D&amp;reserved=0">www.monolithicpower.com</a>. Pay is based on market location and may vary based on factors including experience, skills, education and other job-related reasons. The target hiring range for this position is $170,000 - $220,000 annually. #LI-NH1#LI-SL1Monolithic Power Systems, Inc. (MPS) is an Equal Opportunity Employer and embraces diversity in our employee population. It is the policy of MPS to provide equal opportunity to all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or special disabled veteran, marital status, pregnancy, genetic information, or any other legally protected status.

Sr. Staff/ Principal Software Engineer - Building Automation Systems

We’re looking for talented professionals to join us in bringing smart money management and payment solutions to everyone’s fingertips.This position is classified as structured hybrid, with an expectation of a minimum of three (3) days per week working in the office and flexibility to work remotely on the remaining days. On-site expectations may evolve over time to support business needs, with clear communication provided in advance.&lt;&lt;&gt;&gt;&lt;&lt;&gt;&gt;&lt;&lt;&gt;&gt;&lt;&lt;&gt;&gt;&lt;&lt;&gt;&gt;&lt;&lt;&gt;&gt;&lt;&lt;&gt;&gt;&lt;&lt;&gt;&gt;&lt;&lt;&gt;&gt;&lt;&lt;&gt;&gt; JOB DESCRIPTIONLocation Requirement This position is open only to candidates who currently reside in one of the following approved locations: West Los Angeles, CARequired Qualifications<ul><li>Designs, builds and oversees the deployment and operation of technology architecture, solutions and software to capture, manage, store and utilize structured and unstructured data from internal and external sources.</li><li>Establishes and builds processes and structures based on business and technical requirements to channel data from multiple inputs, route appropriately and store using any combination of distributed (cloud) structures, local databases, and other applicable storage forms as required.  </li><li>Develops technical tools and programming that leverage artificial intelligence, machine learning and big-data techniques to cleanse, organize and transform data and to maintain, defend and update data structures and integrity on an automated basis.</li><li>Creates and establishes design standards and assurance processes for software, systems and applications development to ensure compatibility and operability of data connections, flows and storage requirements.</li><li>Reviews internal and external business and product requirements for data operations and activity and suggests changes and upgrades to systems and storage to accommodate ongoing needs.</li></ul> **Ability to work in the U.S. without sponsorship** **Ability to meet the location requirement outlined above**POSITION TYPERegularPAY RANGEThe targeted base salary for this position is $113,400 to $162,000 per year. The final compensation will be determined by a number of factors such as qualifications, expertise, and the candidate’s geographical location.&lt;&lt;&gt;&gt;&lt;&lt;&gt;&gt;&lt;&lt;&gt;&gt;&lt;&lt;&gt;&gt;&lt;&lt;&gt;&gt;&lt;&lt;&gt;&gt;&lt;&lt;&gt;&gt;&lt;&lt;&gt;&gt;&lt;&lt;&gt;&gt;&lt;&lt;&gt;&gt;We’re Here to Support You—Accommodations Upon RequestGreen Dot is committed to providing an inclusive and accessible hiring experience for all candidates. If you require a reasonable accommodation during any part of the application or interview process, we encourage you to let us know. We will work with you to meet your needs in a way that respects your privacy and ensures equal opportunity. Our goal is to support every applicant in showcasing their talents and potential.Work Authorization Requirement At Green Dot Corporation, we value diversity and strive for fair and inclusive hiring practices. However, we are currently unable to offer visa sponsorship. All applicants must be legally authorized to work in the United States at the time of application and throughout the duration of employment, without the need for current or future sponsorship.Important Notice on Application Accuracy We value integrity in our hiring process. Please ensure that all information provided in your resume and application is accurate and authentic. Submissions found to be fraudulent or misleading will result in disqualification from consideration, and any offers extended may be rescinded.

Senior Database Engineer

To make electronics, you need chips, wafers, transistors, reticles, and... To make these, you must see, test and manufacture them at scale—faster and better than ever before. That's where KLA comes in. Whether you're early in your career or an experienced professional, you'll solve complex challenges, work alongside brilliant minds and help shape the future of technology. Group/DivisionThe KLA Services team consists of Service Sales, Marketing, Spares Supply Chain Management, Field Operations, Engineering, Product Training, Digital Solutions and Analytics, and Technical Product Support. Our services organization maximizes the value of our customers' KLA assets – with highly trained service and product support engineers providing installation services and 24/7 technical support and parts delivery through our extensive supply chain network.What You'll DoIn this role, you will play a key part in advancing business priorities by delivering high-impact work across your area of expertise. <ul><li>Knowledge of structure, architecture and coding knowledge of C, C++,C# and java on Unix/Linux/Windows is required</li><li>A highly motivated individual able to work in a multi-discipline and multi-culture global organization as a driven teammate</li><li>Excellent verbal and written communication skills</li><li>Exposure to programming image processing system designs desired</li><li>Exposure to writing embedded software for mechanical control from communications level to high level application development in C and C++ is desired</li><li>Knowledge in standards-based messaging protocols, such as ethernet, serial and VMEbus is desired</li><li>Knowledge of source control tools such as RTC, ClearCase ,GIT and Azure Devops</li><li>Experience with image processing software is a plus</li><li>Experience with real-time operating systems (RTOS), e.g., Embedded Linux, Android, VxWorks is a plus</li><li>Experience with Solaris and other *NIX OS is a plus</li><li>Experience in using AI coding assistants and agents is a plus</li><li>Understanding of SEMI Equipment control software architecture is a plus</li></ul>Minimum QualificationsMaster's Level Degree and 0 years related work experience; Bachelor's Level Degree and related work experience of 2 yearsAbout KLAWe provide advanced inspection tools, metrology systems, process solutions, and computational analytics that make electronics possible, tackling complex challenges. From electron and photon optics to machine learning and data analytics, we seek perfection at the most fundamental level of matter in the universe. If you want to make electronics that push industries forward and make the world a better place, join us. Total RewardsBase Pay Range: $83,000.00 - $121,733.00 Annually&amp;#xa;Primary Location: USA-MI-Ann Arbor-KLAKLA’s total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits including but not limited to: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave. Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level, and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process. Use of AI Statement At KLA, our interviews seek to understand your individual skills, problem-solving approach and authentic thinking. To ensure a fair and consistent evaluation, the use of AI, recording tools or other technologies to generate, suggest or provide responses during interviews—whether virtual or in person—is not permitted unless explicitly approved in advance as part of a reasonable accommodation or invited by the interviewer. Use of these tools may interfere with our ability to evaluate your individual qualifications and affect your candidacy. KLA is committed to advancing innovation through responsible AI, and we value candidates who share this mindset. Equal Opportunity StatementKLA is proud to be an Equal Opportunity Employer. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us at <a href="mailto:talent.acquisition@kla.com">talent.acquisition@kla.com</a> or at +1-408-352-2808 to request accommodation. For additional information, view the US Know Your Rights poster on the U.S. Equal Employment Opportunity Commission website.

Software Engineer

<div>We are Progress (Nasdaq: PRGS) - the trusted provider of software that enables our customers to develop, deploy and manage responsible, AI-powered applications and experiences with agility and ease. </div><div>We’re proud to have a diverse, global team where we value the individual and enrich our culture by considering varied perspectives because we believe people power progress. Join us as a Vice President, Global Software Engineering and help us do what we do best: propelling business forward. This will be a hybrid role so working between your home office and our Raleigh, NC office. </div><div> In this role, you will be accountable for the execution and business impact of the engineering portfolio for Progress Sharefile </div><div>You will set the multi-year technology vision and lead the transformation, development, and scaling of high-performing global engineering organizations. </div><div>Key responsibilities include: </div><ul><li>Driving delivery of differentiated, secure, reliable, and commercially successful products.</li><li>Partnering closely with Product, Design, Security, Operations, Finance, Sales, Marketing, Legal, and Customer Success to align engineering priorities with business outcomes.</li><li>Developing executive-level talent and building leadership capacity across the organization.</li><li>Ensuring engineering investments reflect customer needs, market dynamics, operational excellence, and company strategy.</li><li>As an enterprise leader, you will play a central role in driving transformation, strengthening execution, and helping the company deliver meaningful customer and business impact.</li></ul><div>Your background </div><div>Technical and Business Acumen </div><ul><li>Deep understanding of modern SaaS, cloud-native platforms, enterprise software, cybersecurity, data, AI, automation, and contemporary engineering operating models.</li><li>Proven ability to connect technology strategy to business strategy, customer value, market differentiation, operational scale, and financial outcomes.</li><li>Ability to anticipate market and technology shifts and translate them into actionable product, platform, and engineering strategies.</li></ul><div>Transformation and Modernization </div><ul><li>Experience driving large-scale modernization, platform consolidation, architectural transformation, AI-assisted development adoption, and engineering productivity improvement.</li><li>Strong executive judgment in portfolio prioritization, technical risk management, build-versus-buy decisions, vendor strategy, and investment tradeoffs.</li></ul><div>Experience </div><ul><li>15+ years of progressive software engineering leadership experience, including leading global, large, distributed engineering organizations.</li><li>Experience delivering enterprise-grade SaaS, cloud, platform, data, AI, or mission-critical software products at scale.</li><li>Enterprise architecture, platform modernization, cloud-native systems, and technology transformation.</li><li>AI-enabled engineering productivity, automation, developer experience, and modern SDLC practices.</li><li>SaaS operations, reliability engineering, scalability, observability, incident management, and cost optimization.</li><li>Security, privacy, compliance, technical risk management, and secure software delivery.</li><li>Executive communication, stakeholder influence, board-level storytelling, and cross-functional decision making.</li><li>Global organizational design, workforce strategy, operating model design, and transformation leadership.</li><li>Agile, Lean, DevOps, CI/CD, quality engineering, engineering metrics, and continuous improvement.</li></ul><div>Base Salary Range: $260,000 - $300,000 This position is also eligible to participate in our performance-based annual corporate bonus plan. Final base compensation is determined by a number of factors, including but not limited to job-related skills, education, demonstrable experience, and allowance for future and continued salary growth. We also offer a robust benefits package, with details below. </div><div>If this sounds like you and fits your experience and career goals, we’d be happy to chat. </div><div>What we offer in return is the opportunity to experience a great company culture with wonderful colleagues to learn from and collaborate with and also to enjoy: </div><ul><li>Medical, dental, vision, life &amp; disability, and financial benefits, including a 401(k) retirement savings plan, tuition reimbursement program, and optional benefits such as critical illness/hospital indemnity/personal accident, identity theft protection, auto &amp; home insurance, legal insurance, and pet insurance.</li><li>Competitive salary and incentive compensation opportunities, including bonus or uncapped commission (as applicable to the position), along with a best-in-class Employee Stock Purchase Program (ESPP) featuring a 27-month lookback.</li><li>Flexible paid vacation time, a paid day off for your birthday, company holidays, and a variety of leave programs, including Parental Leave.</li><li>Employee Assistance Program (EAP) and employee well-being resources focused on physical, mental, social, and financial health.</li></ul><div>#LI-hybrid </div>

Christian Software & Engineering Jobs

Explore top Christian Software & Engineering jobs at leading faith-friendly companies.