Requirements engineer jobs in Santa Cruz, CA - 3,055 jobs

A leading technology company in Sunnyvale, California, is seeking a Machine Learning Engineer to design and implement cutting-edge conversational and generative AI systems. This role combines machine learning research and product engineering, requiring strong expertise in deep learning, natural language processing, and Python programming. Candidates should have relevant advanced degrees and hands-on experience with ML frameworks. Apple offers competitive compensation and a robust set of benefits including health coverage and stock options. #J-18808-Ljbffr

Applied SciML (Scientific Machine Learning) Engineer Santa Clara, United States | Posted on 10/16/2025 Role: Applied SciML (Scientific Machine Learning) Engineer MUST HAVE: Job Description We're looking for an engineer with deep expertise in scientific machine learning and computational geometry to build production ML systems for physical simulation data. Requirements Core Deep Learning Experience (3+ years) Hands‑on deep learning training with scientific datasets: CAD geometries, CFD simulations, or similar physical data End‑to‑end model development: data preparation, training, hyper‑parameter tuning Multi‑GPU training and GPU memory optimization PyTorch and PyTorch Lightning proficiency Technical Depth Demonstrated experience (via publications in top venues or 3+ years industry experience) in one or both areas: Computational Geometry: PointNet, DGCNN, TripNet, MeshGPT, or similar geometric deep learning architectures Scientific ML: PINNs, DeepONet, FNO, Transformers for physics, SCoT, Poseidon, or related physics‑informed models Evidence of impact - publications in leading ML/computational science conferences/journals or a proven track record building SciML systems in industry #J-18808-Ljbffr

A leading social media platform in Palo Alto is seeking a Machine Learning Engineer/Economist to enhance the efficiency of its marketplace. The ideal candidate should possess a degree in a relevant field and have experience in data analysis and machine learning. This role involves building statistical models and driving cross-functional collaboration. A competitive salary range from $177,309 to $310,291 is offered, along with potential equity benefits. #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

A leading automotive technology company is seeking a Cellular and Wireless Integration Engineer to enhance connectivity features for electric vehicles. The role involves testing cellular, WiFi, and GPS systems, creating documentation, and collaborating with development teams. Applicants should have a relevant bachelor's degree, understanding of network protocols, and basic scripting skills. The position offers competitive compensation and a comprehensive benefits package in Palo Alto, California. #J-18808-Ljbffr

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

Role: Endpoint Automation Engineer (Intune, Entra ID, PowerShell) Duration: 3-6 Months Contract Job Summary: We are seeking a highly skilled Endpoint Automation Engineer to lead enterprise-wide modernization and automation of endpoint management. This role demands deep hands-on expertise in Microsoft Intune, PowerShell automation, Microsoft Entra ID, and endpoint lifecycle automation. The ideal candidate will drive zero-touch provisioning, security compliance, and operational efficiencies. Key Responsibilities:Endpoint Management & Automation Lead enterprise deployment/configuration of Microsoft Intune Automate device provisioning, compliance, and lifecycle workflows Package/deploy apps (Win32, MSIX, LoB); manage Autopilot, PSADT, PPKG Create/maintain configuration profiles, compliance policies, and baselines Microsoft Entra ID Administration Manage Entra ID (Azure AD), implement SCIM, Conditional Access, RBAC Strengthen identity governance and compliance PowerShell Scripting & Automation Build secure, reusable PowerShell scripts for device/app onboarding, compliance remediation, and reporting Maintain version-controlled script repository and CI/CD pipelines Cloud & M365 Integration Leverage Microsoft 365 tools (Defender, Exchange, Teams, etc.) Support Azure-based device registration and configuration (Preferred) Apply IaC practices using ARM, Bicep, Terraform Endpoint Security & Compliance Align with CIS benchmarks for Windows 11 Ensure BitLocker, AV, firewall, and security compliance via policy and automation Collaboration & Support Act as Tier-3 escalation point for IT End User Services Document and enhance EUS workflows through automation Required Qualifications:5+ years in endpoint automation and modern device management Expert-level experience with Microsoft Intune, PowerShell, and Entra ID Experience with Windows 10/11, Autopilot, PSADT, and PPKG provisioning Familiarity with Microsoft 365 and Azure services for endpoint security Preferred:Certifications: MD-102, AZ-104, SC-300, AZ-400 Infrastructure as Code (IaC) experience with ARM/Bicep/Terraform Exposure to Defender for Endpoint, Log Analytics, and Sentinel

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.

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

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

A leading AI technology company based in Palo Alto, CA is seeking a Machine Learning Data Engineer. You will build and optimize the data infrastructure for our machine learning systems while collaborating with ML engineers and infrastructure teams. The ideal candidate has a strong engineering background in Python, experience in production data pipelines, and a deep understanding of distributed systems. This role offers comprehensive benefits, a collaborative environment, and opportunities for innovative contributions. #J-18808-Ljbffr

An automotive giant is seeking a Staff ML Engineer for their ML Compute Platform to scale backend services and contribute to AI infrastructure. Responsibilities include designing software components, improving system efficiency, and leading initiatives. Candidates should have 7+ years of experience and expertise in languages like Go, C++, or Python, as well as a solid background in distributed systems. Join a team that's transforming mobility and tackling complex engineering challenges with AI applications. #J-18808-Ljbffr

A leading technology company is seeking a Staff Machine Learning Engineer based in Mountain View, CA. In this pivotal role, you will develop and deploy advanced machine learning models to address challenges in today's complex electric grid. You will lead model building efforts, mentor junior engineers, and collaborate on cross-functional projects. Ideal candidates have over 10 years of experience in machine learning, strong Python skills, and familiarity with ML frameworks like PyTorch and TensorFlow. Join us and make a significant impact on the energy future. #J-18808-Ljbffr

A leading technology firm in California is looking for an experienced Staff Machine Learning Engineer. In this role, you will drive the technical direction of machine learning technology, design and build impactful solutions, and lead cross-team initiatives. The ideal candidate has extensive experience in machine learning and is skilled in collaboration and mentorship. This position offers competitive compensation with equity options and emphasizes a diverse and inclusive workplace. #J-18808-Ljbffr

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.

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.

About the role We are looking for a Plumbing Engineer / Designer who thinks like a designer first and an estimator second, to support our growing design-build portfolio. This role is heavily involved in preconstruction and design-assist, helping shape system strategies, budgets, and deliverables for complex projects. You will own plumbing system design efforts while also supporting conceptual and detailed estimating. The right candidate is comfortable moving between layouts and risers one moment and quantity takeoffs and ROM budgets the next, always with an eye on constructability, cost, and coordination. What you'll do -Lead plumbing system design efforts for design-assist and design-build projects, including layouts, risers, details, and system narratives. -Ensure designs comply with applicable plumbing codes and reflect real-world constructability and coordination with other trades. -Produce design-assist and design-build documents that support preconstruction, permitting, and handoff to project teams. -Support estimating using industry software: perform quantity takeoffs, assist with scope development, and contribute to conceptual/ROM and design-build budgets. -Participate in value engineering discussions, clearly explaining how design decisions affect cost, labor, schedule, and constructability. -Collaborate closely with preconstruction and project leadership during early project phases as a key contributor to our design-build strategy and growth. What you'll bring -Plumbing Engineer / Designer by trade, with strong experience in building plumbing system design, codes, and constructability. -Proficiency in AutoCAD and Revit; BIM experience is a plus but not required. -Demonstrated experience producing design-assist and design-build documents for commercial or industrial projects. -Experience supporting estimating teams with takeoffs, scope development, and budget input in a design-build context. -Strong understanding of value engineering and how plumbing design choices impact project cost and buildability. -Prior experience in a design-build environment (ideally where most work is design-build) is critical. Why this role matters This is a high-impact position for someone who wants to be at the forefront of projects, influencing both design and budget. You will work closely with leadership during the preconstruction and design-assist phases and play a critical role in our long-term growth in design-build delivery. Equal Opportunity Employer / Disabled / Protected Veterans The Know Your Rights poster is available here: *********************************************************************************** The pay transparency policy is available here: ******************************************************************************************** For temporary assignments lasting 13 weeks or longer, AppleOne is pleased to offer major medical, dental, vision, 401k and any statutory sick pay where required. We are committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation for any part of the employment process, please contact your staffing representative who will reach out to our HR team. AppleOne participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program. ********************************************** Contents/E-Verify_Participation_Poster_ES.pdf We also consider for employment qualified applicants regardless of criminal histories, consistent with legal requirements, including, if applicable, the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance. Pursuant to applicable state and municipal Fair Chance Laws and Ordinances, we will consider for employment-qualified applicants with arrest and conviction records, including, if applicable, the San Francisco Fair Chance Ordinance. For Los Angeles, CA applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

A leading technology company based in Santa Clara, California, is seeking a Staff Machine Learning Engineer to enhance AI features across Apple products. The ideal candidate will have extensive experience in machine learning, particularly in reinforcement learning and large language model post-training. This role promises a competitive salary, stock options, and a comprehensive benefits package including medical, dental, and education reimbursement. #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