Requirements engineer jobs in Salinas, CA - 903 jobs

Distinguished Engineer [Lustre] We are seeking a highly experienced Lustre Technical Leader to establish, grow, and guide our new internal Lustre engineering team. This role is ideal for a seasoned expert who is deeply embedded in the Lustre ecosystem and passionate about building high‑performance file system solutions. Job Requirements 15+ years of hands‑on Lustre development experience with deep knowledge across the stack Recognized leadership and credibility within the Lustre community Demonstrated success in building and leading high‑performing technical teams Ability to attract, recruit, and mentor Lustre developers and related technical talent Experience bringing commercial file system products from concept through delivery Strong communication skills to present technical concepts and industry trends to senior leadership Ability to collaborate with Product Marketing to define and prioritize features and solutions Proficiency in writing concise technical papers (1-3 pages) on feature value, architecture, or competitive analysis Education Bachelors degree in Engineering At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment-you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed-they drive everything we do. If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now. #J-18808-Ljbffr

A leading technology company in Cupertino is looking for a Machine Learning Engineer to design and implement algorithms for interactive features. The candidate should have a Master's degree in Computer Science, experience with foundation models, and proficiency in Python and ML frameworks. This role offers a strong compensation package with comprehensive benefits, including stock options, medical coverage, and education reimbursement. Join a diverse environment committed to inclusion and innovation. #J-18808-Ljbffr

Microsoft Silicon, Cloud Hardware, and Infrastructure Engineering (SCHIE) is the team behind Microsoft's expanding Cloud Infrastructure and responsible for powering Microsoft's "Intelligent Cloud" mission. SCHIE delivers the core infrastructure and foundational technologies for Microsoft's over 200 online businesses including Bing, MSN, Office 365, Xbox Live, Teams, OneDrive, and the Microsoft Azure platform globally with our server and data center infrastructure, security and compliance, operations, globalization, and manageability solutions. Our focus is on smart growth, high efficiency, and delivering a trusted experience to customers and partners worldwide and we are looking for a Fleet Engineering Debug to help achieve that mission. As Microsoft's cloud business continues to grow the ability to deploy new offerings and hardware infrastructure on time, in high volume with high quality and lowest cost is of paramount importance. To achieve this goal, the Hardware, Infrastructure Management, and Fundamentals Engineering (HIFE) team is instrumental in defining and delivering operational measures of success for hardware manufacturing, improving the planning process, quality, delivery, scale and sustainability related to Microsoft cloud hardware. We are looking for a Fleet Engineering Debug with a dedicated commitment for customer focused solutions, insight and industry knowledge to envision and implement future technical solutions that will manage and optimize the cloud infrastructure. Responsibilities Execute system level end to end debug solutions for at scale datacenter systems. Lead collaboration projects with hardware, firmware and software teams that drive root cause analysis. Accountable for successful execution of targeted system level root cause analysis and defect reduction projects. Provide technical recommendations on diagnostics or debug deployment technologies. Lead debug of complex problems based on technical and business understanding. Develop innovative at scaleable debug methodologies, test strategies and test routines in data center solutions. Solve problems relating to essential services and build automation to drive debug efficiency. Effectively communicate with partners and stakeholders for planning and progress on initiatives using data. Qualifications Required Master's Degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field AND 3+ years technical engineering experience OR Bachelor's Degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field AND 5+ years technical engineering experience OR equivalent experience. Preferred 7+ years of experience of technical leadership as a platform or software architect or validation architect or a lead debug engineer or equivalent industry experience leadership position. In-depth understanding of modern computer architectures or System on Chip features like reliability, accessibility and serviceability (RAS) features, virtualization technologies or major architectural blocks like Memory Controllers or Central Processing Units or Storage or Networking solutions for cloud or datacenter infrastructures. Ability to lead technical in-depth technical reviews into software solutions used in at scale environments or datacenter infrastructure, cloud native operating systems, or virtualization technologies. Platform or software level debug and validation experience. Software and data analytical skills. Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter. #azurehwjobs #HIFE #SCHIE Hardware Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: **************************************************** This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

An innovative AI company in San Jose is seeking a skilled Machine Learning Engineer with expertise in developing LLMs and VLMs. The ideal candidate will have a strong education background and proven experience in natural language processing and computer vision. This role offers a competitive salary package, opportunities for growth, and the chance to work on cutting-edge technology that transforms the automotive industry. #J-18808-Ljbffr

At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high‑performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand‑in‑hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. Why this Role Matters We are building an enterprise Generative AI Platform that lets dozens of product teams compose powerful, safe and explainable AI capabilities - without wrestling with model minutiae or infra plumbing. You will design the agentic workflow framework, shared services such as memory, guardrails, vector search, SDKs and blueprints that translate foundation model power into production‑grade applications used by millions of users across multiple lines of businesses. In this role, you will Partner with a cross‑functional team of engineers, research scientists, technical program managers, and product managers to deliver AI‑powered products that change how our associates work and how our customers interact with Capital One. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi‑tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows: you will evaluate agentic frameworks such as LangGraph, AutoGen, Semantic Kernel, CrewAI and LlamaIndex and then harden/blend patterns that best meet enterprise SLAs so that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end‑to‑end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content‑filter hooks, red‑team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross‑organization architects to drive end‑to‑end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per‑token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto‑scale agents to hit tenant SLAs. Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. Basic Qualifications Bachelor's degree in Computer Science, Engineering, or AI plus at least 8 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 6 years of experience developing AI and ML algorithms or technologies. At least 8 years of experience programming with Python, Go, Scala, or Java. Preferred Qualifications 8+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud). 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen). 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning). 8+ years of experience designing mission‑critical machine learning platforms. 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems. Demonstrated ability to lead and mentor multiple engineering teams and influence cross‑functional stakeholders up to the VP level. Experience developing AI and ML algorithms or technologies (e.g. LLM inference, similarity search and VectorDBs, guardrails, memory) using Python, C++, C#, Java, or Golang. Master's degree in Computer Science, Computer Engineering, or relevant technical field. Experience developing and applying state‑of‑the‑art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost. Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers. Experience leading GenAI or LLM‑Powered application architectures in production. Deep understanding of Responsible AI, data privacy and multi‑tenant security patterns. Experience as a Staff‑plus or Distinguished IC engineer influencing 50+ engineers and C‑suite stakeholders. K8s mastery (multi‑region clusters, service mesh). Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full‑time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part‑time roles will be prorated based upon the agreed upon number of hours to be regularly worked. San Francisco, CA: $293,600 - $335,100 for Distinguished AI Engineer San Jose, CA: $293,600 - $335,100 for Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well‑being. Learn more at Capital One Careers website. Eligibility varies based on full or part‑time status, exempt or non‑exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non‑discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug‑free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23‑A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901‑4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at ************** or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to **********************. Capital One does not provide, endorse nor guarantee and is not liable for third‑party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). #J-18808-Ljbffr

A semiconductor manufacturing firm is looking to hire an experienced EHS Engineer with a manufacturing background to join the existing EHS team. The individual will be responsible for working with the team to conduct JSAs, lead incident investigations, and site audits. A bachelors degree in a relevant major is required. The Role: Work with the EHS team to meet compliance with current OSHA and Cal-OSHA regulations regarding environmental, health, and safety procedures and reporting. Participate in incident investigations, identify root causes, and support the implementation of effective corrective actions. Conduct site safety inspections and actively contribute to the safety committee to ensure a hazard-free workplace. Assist in hazard and risk assessments, environmental impact evaluations, and EHS audits to identify opportunities for improvement. The Candidate: 2+ years of EHS experience in a manufacturing setting. Bachelor's degree in environmental, health, safety, chemistry, engineering, and/or other related fields. Knowledge of state and federal EPA, OSHA, and Cal-OSHA regulations.

A global technology company is looking for a seasoned software engineer to enhance AI capabilities within their observability platform. Candidates should have a strong background in AI/ML systems, cloud computing, and robust technical leadership. This role is pivotal in driving innovation in data analysis and delivering scalable solutions. The ideal candidate will thrive in an agile environment and provide mentorship to junior engineers. Enjoy competitive salaries and benefits while contributing to impactful technology solutions. #J-18808-Ljbffr

What to Expect Join our diverse, enthusiastic, and growing team of multi-disciplinary engineers, where we accelerate the world's transition to sustainable abundance-creating an era of clean, plentiful energy for all. You'll contribute by validating the reliability, performance, and durability of thermal systems that form the backbone of our self-driving vehicles and AI technologies. These systems ensure efficient cooling for batteries, AI hardware, and components in autonomous driving, enabling reliable operation in real-world conditions. With opportunities to work across various development programs, you'll thrive in innovative, fast-paced environment, often collaborating beyond your core role to drive progress. What You'll Do Lead hardware validation and testing for thermal management components and subsystems, including compressors, A/C lines, heat exchangers, hoses, coolant pumps, HVAC blowers, and electronic valves. Identify potential failure modes and collaborate with design partners to implement effective improvements Oversee the build and testing of thermal system test bucks, creating modular setups for component-, system-, and vehicle-level evaluations Develop and maintain test software in Python for automation, data collection, analysis, and post-processing; refine our pytest-based automation codebase to interact with devices and support reliability testing Design and build custom test fixtures to enable efficient, modular, and repeatable validation processes Integrate test equipment such as power supplies, environmental chambers, DAQs, sensors, and related instrumentation into automated test setups, ensuring seamless connectivity and data accuracy for high-fidelity validation Conduct hands-on debugging of test setups and equipment; perform root cause analysis on failures and issues affecting both test hardware and the device under test to enable rapid resolutions and iterative improvements Manage the full testing lifecycle from setup to execution and reporting, including planning, development, inspections, root cause analysis, data processing, and full-vehicle interactions for software validation and thermal system reliability Document test findings clearly and communicate them promptly to cross-functional teams; conduct root cause analysis on failures and partner with design,software, failure analysis, reliability teams, and suppliers to develop corrective actions Track validation schedules, coordinate test resources, and update program managers on progress, risks, and blockers What You'll Bring Bachelor's Degree in Mechanical Engineering, Mechatronics Engineering, or equivalent experience Proficiency in coding for test automation and data post-processing, with hands-on experience in Python and/or C. Familiarity with pytest for maintaining robust automation codebases Foundation in thermodynamics, including refrigeration and coolant systems Knowledge of working principles for common thermal components, including operation, testing, and characterization Experience with standard lab and test equipment, such as power supplies, DAQs, pressure transducers, flow meters, and temperature sensors Experience in high-voltage and low-voltage component validation (e.g., inverters, power electronics, motors) Prior work with CAN communication protocols and test setups Design experience using CAD software such as CATIA or SOLIDWORKS Background in full vehicle testing for thermal system validation, testing, and reliability

The Company: A data services company based in the heart of San Francisco, are looking for a Senior Data Engineer. They are a team of passionate engineers and data experts that are working on a variety of different project, primarily in the financial services sector, helping organizations build scalable, modern data platforms. This is a hands-on, full-time role with close collaboration alongside the CTO and senior engineers, offering strong influence over technical direction and delivery. The Role: This is an on-site position in the downtown San Francisco where you will be working as part of a close-knit team, collaborating on projects in their brand new office. You will be working across end-to-end data projects, including: Building and maintaining data pipelines and ETL processes. Sourcing and integrating third-party APIs and datasets. Batch and near-real-time processing (cloud agnostic). Downstream analytics and reporting using tools like Sigma Computing and Omnium Analytics. Collaborating with the CTO and engineering team to deliver client solutions. Key Skills: 5+ years' data engineering experience Strong Python, BigQuery, and cloud (GCP or similar) Solid ETL and pipeline background Comfortable with large-scale data Nice to Have Beam, Dataflow, Spark, or Hadoop Tableau or Looker ML/AI exposure Kafka or Pub/Sub Given the varied nature of the work, a broad range of technology experience is valued. You don't need to have experience with every tool listed below to be considered, so we encourage you to apply. This role is 5 days a week on-site in downtown San Francisco. Looking to pay between $170,000-$220,000 with a bonus between 15-20%. Benefits Health, Dental & Vision covered Unlimited PTO 401(k) with employer contribution Commuter benefits.

A leading technology company is seeking a Machine Learning Engineer to contribute to the development of Siri. You will work on designing and optimizing machine learning algorithms and collaborate cross-functionally at Apple. The ideal candidate will have strong programming skills and experience in machine learning. Salary base range is $126,800 to $220,900, with additional benefits including stock options and comprehensive healthcare. #J-18808-Ljbffr

Location: San Francisco/Bay Area; must work PST hours. The team spends a few days in office each month. About the Role: We are seeking a seasoned Sr. DevOps Engineer to join Sogeti and help deliver cutting-edge cloud and automation solutions. This role focuses on designing and implementing secure, scalable DevOps practices across AWS environments, enabling continuous integration and deployment for enterprise-grade applications. What You Will Do at Sogeti Develop and implement DevOps strategies for deployment, scaling, and automation across AWS environments. Build and optimize CI/CD pipelines with integrated automated testing using AWS CodeBuild and CodePipeline. Manage containerized workloads leveraging Docker, Kubernetes, and Amazon ECS. Configure and maintain AWS infrastructure, including RDS instances, multi-environment setups, and compliance monitoring. Collaborate with development and QA teams during release cycles and troubleshoot production issues. Apply best practices for cloud security and data protection across application, network, and infrastructure layers. Oversee Cloudflare updates and database operations to ensure performance and security. What You Will Bring Proven experience implementing AWS cloud infrastructure and delivering end-to-end solutions. Proficiency in scripting languages such as JavaScript, Bash, or Python. Expertise in Infrastructure as Code using CloudFormation or Terraform. Hands-on experience with container technologies (Docker, Kubernetes, ECS). Strong knowledge of CI/CD methodologies, DevSecOps practices, and Git workflows. Ability to secure systems across all layers and familiarity with security protocols (HTTPS, TLS, PKI, OAuth). Experience managing AWS RDS instances, including secure configurations, monitoring, and backup strategies. Preferred Skills Experience with Cloudflare and Bitbucket. Familiarity with building and deploying Node.js applications. Knowledge of monitoring tools such as CloudWatch, Splunk, Datadog, and X-Ray. Understanding of GDPR and CCPA compliance requirements. Exposure to scaling applications across multiple geographies. High-level AI usage in day-to-day activities. Education: Bachelor's or Master's degree in Computer Science, Software Engineering, Information Systems, Business Administration, or a related field. Life at Sogeti: Sogeti supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer: Flexible work options 401(k) with 150% match up to 6% Employee Share Ownership Plan Medical, Prescription, Dental & Vision Insurance Life Insurance 100% Company-Paid Mobile Phone Plan 3 Weeks PTO + 7 Paid Holidays Paid Parental Leave Adoption, Surrogacy & Cryopreservation Assistance Subsidized Back-up Child/Elder Care & Tutoring Career Planning & Coaching $5,250 Tuition Reimbursement & 20,000+ Online Courses Employee Resource Groups Counseling & Support for Physical, Financial, Emotional & Spiritual Well-being Disaster Relief Programs About Sogeti Part of the Capgemini Group, Sogeti makes business value through technology for organizations that need to implement innovation at speed and want a local partner with global scale. With a hands-on culture and close proximity to its clients, Sogeti implements solutions that will help organizations work faster, better, and smarter. By combining its agility and speed of implementation through a DevOps approach, Sogeti delivers innovative solutions in quality engineering, cloud and application development, all driven by AI, data and automation. Become Your Best | ************* Disclaimer Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. Click the following link for more information on your rights as an Applicant ************************************************************************** Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini. Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $135,000 - $185,000. This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.

We're seeking a Full Stack Software Engineer with strong backend development skills in Python and frontend expertise in React.js. You'll help design, implement, and scale full stack web applications that are secure, performant, and user-centric. Responsibilities Architect, build, and maintain backend services using Python (FastAPI, Flask, Django) Design and implement dynamic and responsive frontends using React.js and/or Vue.js Create and consume RESTful and GraphQL APIs Build reusable components and libraries for frontend use Collaborate across teams to gather requirements, define solutions, and ensure quality Optimize performance and scalability of applications Write unit, integration, and end-to-end tests across the stack Participate in peer code reviews and provide mentorship where appropriate Required Qualifications 5+ years of experience in full stack development M.S. degree in relevant domain required Proficiency with Python and one or more major web frameworks (e.g., FastAPI, Django) Advanced skills in React.js, including Hooks, Context, and state management libraries (e.g., Redux, Zustand) Experience with Vue.js or interest in working across multiple frontend frameworks Familiarity with modern frontend tooling: Webpack, Vite, Babel, ESLint Solid experience with HTML5, CSS3, SASS/SCSS, and responsive UI design Strong understanding of RESTful services, API security, and performance optimization Knowledge of relational databases (PostgreSQL, MySQL) and NoSQL options (MongoDB, Redis) Git and CI/CD best practices (GitHub Actions, CircleCI, GitLab CI) Strong communication skills and a collaborative approach to engineering Preferred Qualifications Familiarity with TypeScript Experience with cloud platforms (AWS, GCP, or Azure) Experience with Docker, Kubernetes, or container orchestration GraphQL and Apollo Client experience Familiarity with microservice architecture Experience working with real-time data (WebSockets, MQTT)

Figure is an AI Robotics company developing a general purpose humanoid. Our humanoid robot, Figure 02, is designed for commercial tasks and the home. We are based in San Jose, CA and require 5 days/week in-office collaboration. It's time to build. We are looking for a skilled MES Engineer to join our Manufacturing team. In this hybrid role, you will lead the integration and optimization of our MES infrastructure while contributing your automation controls expertise to support a tightly connected, data-rich manufacturing environment. You will be instrumental in bridging the digital and physical layers of our production systems-connecting MES platforms with shop floor controls (work stations, PLCs, sensors, testers, motion systems) to deliver traceability, operational visibility, and high system reliability. This is a hands-on engineering position that spans system architecture, controls programming, MES development, and factory floor integration. Responsibilities: Design, configure, and maintain the MES infrastructure with a focus on scalability, reliability, and real-time data availability. Integrate MES with new and existing production equipment, work stations, test stations, automation cells, and data acquisition systems. Develop and maintain robust UI interfaces, ensuring full traceability, error handling, and synchronization of production events. Build real-time dashboards and data pipelines to monitor OEE, system status, test results, and production KPIs. Collaborate with manufacturing engineers to support new process introductions, controls programming, commissioning, automation changes, and MES-related troubleshooting. Create and maintain internal documentation for MES standards, architecture, and integration workflows. Ensure data integrity and high MES availability in a fast-paced, high-mix production environment. Requirements: 5+ years of experience in MES systems engineering, industrial automation, or controls engineering in a manufacturing setting. In-depth understanding of ISA-95 MES architecture and its integration with automation equipment. Strong experience with PLCs (e.g., Allen-Bradley), industrial controls, and HMI/SCADA platforms (e.g., Ignition, Sepasoft) Hands-on experience with industrial communication protocols (e.g., OPCUA, EtherNet/IP, EtherCAT). Proven ability to troubleshoot across software, hardware, and control systems domains. Proficient in scripting (e.g., Python, structured text). Familiarity with traceability, OEE and digital twins. Bonus Qualifications: Bachelor's or Master's in Industrial Engineering, Computer Engineering, Mechatronics, or a related field. Ignition Certification/ SEPASOFT MES CERTIFICATION ERP/PLM Experience, OT/IT, Cyber Security CATIA V6 Experience The US base salary range for this full-time position is between $145,000 and $220,000 annually. The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.

Sony Corporation of America, located in New York, NY, is the U.S. headquarters of Sony Group Corporation, based in Tokyo, Japan. Sony's principal U.S. businesses include Sony Electronics Inc., Sony Interactive Entertainment LLC, Sony Music Entertainment, Sony Music Publishing and Sony Pictures Entertainment Inc. With some 900 million Sony devices in hands and homes worldwide today, a vast array of Sony movies, television shows and music, and the PlayStation Network, Sony creates and delivers more entertainment experiences to more people than anyone else on earth. To learn more: **************** Staff Engineer, Wireless Research Nearly 70 years ago, Masaru Ibuka founded our great company with just one, primary motive: "to create a stable work environment where engineers who have a deep and profound appreciation for technology can realize their societal mission and work to their heart's content.” Today, we not only celebrate the enduring history of our world-changing products and the prodigious minds behind them but seek far and wide to rally the most talented and passionate engineers in the world to our cause. Together, we work as "One Sony", built and driven by engineering; intensely focused on delivering the experiences that put that beaming smile on our customers' faces, time after time. Sony R&D US Laboratory, CA in Sony Corporate of America is seeking to welcome the best and the brightest into our world-class R&D team, and if you're up to the challenge, we'd love to see what you've got. We're inventing right here the technology and products that go on to touch customer's lives all over the world. Sony has a vision to prepare wireless communication technologies to provide immersive entertainment content for the customers in the world. JOB RESPONSIBILITIES Initiate proposals to advance state-of-the-art wireless technology, including generating patents. Actively engage with standard bodies and OSS community to make technical contributions. dentify research directions and new research areas to realize Sony vision. Collaborate with our global teams around the world to reach an optimal outcome. Honesty, trustworthiness and ethical conduct are material requirements for the responsibilities outlined above QUALIFICATIONS Your qualifications and experience should include: Ph.D. degree with 4 years of experience, or Master's degree with 7 years of experience, in electrical/communication engineering or in Computer Science. Excellent wireless communication background including all system or link level aspects. Experience in wireless LAN systems, cellular systems, sensor network technologies, distributed networking technologies, or wireless PAN systems with excellent research record is required. A good knowledge of wireless LAN protocol is required. Experience on wireless LAN (IEEE802.11) MAC/PHY layers protocol design and/or analysis is preferred. Experience in WLAN standard (802.11ac/ax/be/bn, etc.) development or 3GPP is preferred. Experience in link level or system level simulation (e.g, ns-3) is preferred.Experience in cross-layer system design is preferred. · Essential programming language knowledge, such as Matlab, C/C++, and Python, is required. Excellent oral and written communications skills. Ability to propose new features, drive consensus, and capture the results in writing in the form of designs, models, and requirements. Must be able to travel domestically and internationally if required. Flexibility and adaptability to work and collaborate with researchers in global locations, internally and externally. In addition to competitive pay and benefits, we offer an environment and culture that promotes Diversity, Equity, and Inclusion. We are committed to creating an inclusive employee experience for you to thrive as part of Sony's purpose to “fill the world with emotion through the power of creativity and technology”. Benefits: SCA offers benefits-eligible employees (generally regular employees scheduled to work 20 or more hours a week) a comprehensive benefits program that offers coverage and support for employees and their family's physical, emotional, and financial well-being. What we offer you: Comprehensive medical, prescription drug, dental, and vision coverage with coverage for spouses/domestic partners and child dependents, including access to a Health Savings Account (HSA) and Flexible Spending Account (FSA) Employee assistance plan and comprehensive behavioral health benefits Fertility benefits, including surrogacy, and adoption assistance programs Basic and supplemental life insurance for employees as well as supplemental life insurance coverage for their spouses/domestic partners and children Voluntary benefits such as group legal, identity theft protection, accident, and hospital indemnity insurance Short-term & long-term disability plans Paid parental and caregiver leave 401(k) Plan with pre-tax, Roth, and after-tax options and company match with immediate vesting Education assistance and student loan programs Other Programs: Flexible Work Arrangements, including remote and hybrid work schedules Time off to include vacation, paid holidays, sick leave, Summer Fridays (early release), and a winter break between Christmas and New Year's Day (based on business needs) Referral bonuses (subject to eligibility) Matching gift program A wide variety of employee business resource groups (EBRGs) Special discounts on Sony products, offered exclusively to Sony employees Employee stock purchase plan (Sony covers commissions and fees for your Sony stock purchases made through after-tax payroll deductions) Annual incentive bonus The anticipated annual base salary for this position is $189,000 to $200,000. In addition to the annual base salary, this role has an annual bonus target of 13%. This range does not include any other compensation components or other benefits that an individual may be eligible for. The actual base salary offered depends on a variety of factors, which may include as applicable, the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job. #LI-AS1 SCA will consider qualified applicants with arrest or conviction records in accordance with applicable law. All qualified applicants will receive consideration for employment without regard to any basis protected by applicable federal, state, or local law, ordinance, or regulation. Disability Accommodation for Applicants to Sony Corporation of America Sony Corporation of America provides reasonable accommodation for qualified individuals with disabilities and disabled veterans in job application procedures. For reasonable accommodation requests, please contact us by email at ******************* or by mail to: Sony Corporation of America, Human Resources Department, 25 Madison Avenue, New York, NY 10010. Please indicate the position you are applying for. We are aware that unauthorized individuals or organizations may attempt to solicit personal information or payments from job applicants by impersonating our company through fraudulent job postings. We take these matters seriously but cannot control third-party websites. To protect your personal information, please verify that any job posting you respond to also appears on our official Careers page: ***************** Please also be advised that we never request personal identifying information (such as Social Security numbers, bank details, or copies of identification documents) during the initial stages of our application process. If you have any doubts about the authenticity of a job posting or communication, please contact ******************* before submitting any information. Right to Work (English/Spanish) E-Verify Participation (English/Spanish)

Kennedy Jenks is seeking a Staff Engineer in our Monterey office to support our multi-disciplinary teams in delivering water, wastewater, recycled water, and utility infrastructure projects. This role is ideal for someone ready to take on more responsibility, build technical skills, and grow toward a Project Engineer role while collaborating with experienced engineers and project managers. Key Responsibilities Design & Technical Work Perform engineering analyses, design calculations, and prepare drawings, specifications, and technical documents for water and wastewater infrastructure projects. Develop portions of project designs with guidance, including layouts, equipment selection, and cost estimating. Prepare sections of design reports, technical memoranda, and permitting documentation. Project Support Support Project Engineers and Project Managers with planning, design, and construction support activities. Manage well-defined work packages or small project components, including coordination with internal disciplines and subconsultants. Assist with task-level budgeting, scheduling, and tracking deliverables. Construction Support Conduct site visits, field investigations, and construction observation activities. Review shop drawings, submittals, and RFIs under direction from senior technical staff. Coordination & Documentation Compile and interpret data, perform QA/QC checks, and support the development of engineering documents and presentations. Coordinate with multidisciplinary team members to ensure alignment with design intent. Qualifications: BS or MS in Civil, Environmental, or related engineering field Experience in planning, design, or analysis of water, wastewater, or municipal infrastructure projects Engineer-in-Training (EIT) certification required; progress toward PE licensure preferred Working knowledge of AutoCAD (Civil 3D) and standard engineering software Strong written and verbal communication skills and the ability to collaborate effectively Design experience is preferred Kennedy Jenks supports a healthy work-life balance and utilizes a hybrid model of home and office work, with a minimum of two days per week in the office. This approach empowers our people to thrive, collaborate, and achieve their full potential. Salary range for this position is anticipated to be $90,000-$110,000, and may vary based on education, experience, qualifications, licensure/certifications, and geographic location. Benefits Summary: Medical, dental, vision, life and disability insurance, 401k, bonus opportunities, tuition reimbursement, professional registration support, a competitive PTO and holiday plan, and other benefits and programs. #LI-Hybrid

We are looking for a Distinguished Engineer (DE) reporting into Cloud Business Unit SVP&GM. Someone in this role will get the opportunity to work on building and scaling NetApp architecture and experience across all three major cloud services - Amazon Web Services, Microsoft Azure, and Google Cloud as NetApp storage is first party integrated into all these three cloud providers. This is a technical leadership role which will require collaborating with other technical leaders and software engineers across NetApp to drive innovation, engineering excellence, and designing scalable architectures. It is expected that someone in this role will work on most complex engineering problems in space of service fundamentals (availability, reliability, performance, and scalability), developer velocity (CD/CI, modern canary, and real user telemetry-based testing) and designing fault tolerant, highly available and low latency control plane architectures. To earn the respect of the NetApp software engineering community and to keep their tools sharp, Distinguished Engineers (DEs) at NetApp are hands‑on practitioners, not consultants. So, it is expected that someone in this role should be able to code and serve as role model for the NetApp technical community. It is expected the person in the role will devote 40% or more of their time in producing artifacts, such as vision statements, design documents, and source code. Prior experience working as a principal or senior principal engineer in one or more high scale, geo distributed applications or services built on either of the major cloud providers will be highly preferred. Prior experience working on storage systems is preferred but not mandatory. Key Responsibilities Lead the definition, design, architecture quality, implementation, and delivery of the most advanced, most difficult, most cross‑cutting, and/or most ambiguous challenges spanning across the Cloud business unit. Operate with independence and act as force multipliers to the benefit of the company, delivering on its most complex challenges. Foster a culture of learning and experimentation, and advocate for best engineering, QA, and Operational practices for the entire business unit. Serve as a technical leader on demanding, cross‑functional engineering projects. The expectation will be to functionally decompose complex problems into simple, straightforward solutions and fully understand system interdependencies and limitation. Understand not just the technical and product capabilities but the nuances of the NetApp cloud business and help to understand and balance conflicting stakeholder objectives, while simultaneously building trust and demonstrating empathy with customers' needs. Architect and build modern CD/CI infrastructure which works all the time for several hundred developers working on multitude of interconnected software deployment pipelines. Architect and design modern, cloud native QA framework and components. Assist in the career development of others, actively coach and mentor other senior and principal engineers on advanced technical issues. Contribute to building intellectual property through patents. Job Requirements Minimum of 10+ years of experience as software engineer. 4+years hands‑on experience as a senior Principal Engineer leading multiple software engineering teams. Expert knowledge in performance, scalability, enterprise system architecture, and engineering best practices. Expert in designing and building large‑scale systems in a multi‑tiered, distributed environment (Service Oriented Architecture). Extensive experience building fault tolerant and high scale distributed architecture on one of the major cloud providers. Extensive experience of cloud native application or services operations, data management, migration, and security. Excellent communication and writing skills, with the ability to effectively engage with customers, stakeholders, and the engineering community. Proactive and self‑driven, with the ability to work independently and take ownership of initiatives. Experience operating and troubleshooting reliable, scalable software systems. Experience building fully automated testing frameworks from code check‑in to deployment. Proficient in at least one modern programming language such as Java, Typescript, Python, or Ruby. Prior experience building services or applications in cloud‑native architectures using either AWS, Azure, or Google cloud. Experience with monitoring frameworks (such as CloudWatch, Datadog, Grafana, Elastic or similar). Decent understanding of storage architectures, design patterns, and best practices. Preferred will be experience with storage technologies such as RAID, Volumes, Replication solutions. Assist in the career development of others, actively coach and mentor other senior and principal engineers on advanced technical issues. Contribute to building intellectual property through patents. Education Bachelor's degree in computer science or a related field or equivalent experience. Compensation: The target salary range for this position is $285,000-355,000. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off (PTO), various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU's), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in‑office and/or in‑person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment-you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise‑grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed-they drive everything we do. If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now. #J-18808-Ljbffr

* You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good.* Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.* You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven.* You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss.* You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown.* Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies* At least 8 years of experience programming with Python, Go, Scala, or Java* 8 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)* Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems* Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level* Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang* Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost* Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production* Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. #J-18808-Ljbffr

Apple Games, Apple Arcade and Game Center represent the home of the gaming experience on Apple's platforms, including iPhone, iPad, Mac, Apple TV, and vision OS. Join the Game Services UI team and help us build the Apple Games app and many other user-facing gaming features and systems, integrations that help developers build features into their games. We have an exciting roadmap of features supporting games ranging from mobile, to indie, to AAA, and interacting with a wide variety of operating system areas with the outstanding opportunity to define the face of gaming. We are seeking an engineer with demonstrated ability building apps and user interfaces with native Apple technologies, including Swift, SwiftUI or Objective-C and UIKit or SwiftUI. In this role you will help define the future of gaming at Apple by helping us to to build new features for the Apple Games app, Game Center, as well as by building new out new system integrations. Solid knowledge of client/server architecture, networking protocols, and synchronization problems. Experience designing, building, and maintaining public APIs is a plus Experience with user interface performance debugging is a plus BS CS or equivalent experience In-depth development experience at the application and user interface level with native Apple technologies (Swift or Objective-C, and UIKit or SwiftUI) Deep understanding of operating systems programming concepts, including concurrency and memory management. Experience working closely with a multi-functional team, handling expectations and ultimately delivering great work on time Ability to investigate requirements for projects independently

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is headquartered in San Jose, CA. We are seeking a New Product Introduction (NPI) Engineer to oversee and drive the successful execution of prototype and pilot production builds. This role requires a strong leader who can coordinate cross-functional teams, manage materials and resources, maintain schedules, and ensure a smooth production process from start to finish. The ideal candidate thrives in a fast-paced environment and has a hands-on approach to problem-solving. Responsibilities: Manage the MBOM (Manufacturing Bill of Materials): Ensure accuracy, completeness, and availability of all components needed for the build. Change Management: Perform or coordinate change impact analysis, track implementation of ECNs and design changes. Oversee Prototype Builds: Track and coordinate the arrival of all required materials, consumables, and staffing resources necessary for the build. Act as primary DRI for coordinating all build activities. Develop & Maintain Build Schedule: Create and enforce timelines, ensuring alignment with production goals and deadlines. Record & Track Issues: Maintain detailed documentation of all issues encountered during the build, from component failures to process inefficiencies. Drive Issue Resolution: Ensure all Directly Responsible Individuals (DRIs) address and resolve issues in a timely manner, pushing for root cause analysis and corrective actions. Requirements: Bachelor's degree in Engineering, Manufacturing, Supply Chain, or a related field (or equivalent experience). 3+ years of experience in NPI, manufacturing, or project management. Strong understanding of manufacturing processes, BOM management, and supply chain logistics. Understanding of PLM/ERP/MRP systems, scheduling tools, and data analysis. Strong communication and leadership skills with the ability to drive accountability. The US base salary range for this full-time position is between $135,000 - $200,000 annually. The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.