Process engineer jobs in San Ramon, CA

As a Site Reliability Engineer (Contractor), you will be a hands-on contributor, focused on supporting and improving the reliability of our AWS cloud infrastructure. You will apply core SRE principles to automate operational tasks, monitor system health, and participate in incident response. This role is execution-focused, supporting the senior team in ensuring our services are available and performant while maintaining an awareness of healthcare compliance standards. The contract extension beyond 3 months will be on the need basis. Key Responsibilities (Contract Deliverables) Cloud Infrastructure Execution & Maintenance: Assist in deploying, configuring, and maintaining highly available AWS infrastructure components. Execute Infrastructure as Code (IaC) changes using tools like Terraform to provision and configure resources. Support the operations and maintenance of existing containerized applications running on platforms like Kubernetes and Docker. AWS Networking Support: Assist the senior team in maintaining the security and efficiency of our core AWS network topologies (e.g., VPCs, subnets, routing). Perform basic configuration and maintenance of cloud load balancing (ALB/NLB) and DNS services (Route 53). Support the enforcement of network security policies and assist in routine network troubleshooting for connectivity or latency issues. Site Reliability & Automation: Identify and automate routine manual operational tasks using scripting (Python/Bash) to improve efficiency and reduce toil. Participate in blameless post-mortems and incident response efforts, focusing on documenting steps taken and assisting with root cause analysis. Contribute to the documentation and adherence of established Service Level Objectives (SLOs) and Service Level Indicators (SLIs). Monitoring & Compliance: Maintain and use existing monitoring, logging, and alerting systems (e.g., Prometheus, Grafana, ELK stack) to ensure system health. Assist in managing and verifying CI/CD pipelines to ensure safe and efficient software releases. Support compliance efforts by ensuring operational procedures align with security best practices and regulatory requirements (HIPAA, SOC 2). Required Qualifications 8+ years of hands-on experience in a DevOps, Cloud Engineering, or SRE-focused technical role. Solid practical experience with AWS cloud provider services. Hands-on experience with Linux administration and troubleshooting. Proficiency in scripting languages such as Python, Bash, etc for automation. Solid experience with Infrastructure as Code tools such as Terraform. Experience with containerization technologies such as Docker and Kubernetes. Experience with monitoring systems like Prometheus, Grafana, AWS Cloud Watch. Experience with writing SQLs on PostgreSQL DB. Working understanding of core networking principles (VPC, routing, load balancing). Basic understanding of security and compliance requirements in a regulated industry (e.g., healthcare, finance). Preferred Qualifications Relevant certifications such as AWS Certified SysOps Administrator or AWS Certified Developer. Familiarity with CI/CD tools (e.g., Jenkins, GitLab CI). Compensation: $72 - $90 per hour ID#: 2508

Manufacturing Test Engineering Manager (or Senior/Lead Test Engineer) Red Oak Technologies is partnering with our client, a leader in LiDAR sensor technology, to identify a highly skilled Manufacturing Test Engineering Manager. We are open to considering strong Senior or Lead-level Test Engineers who are ready to take on team leadership responsibilities while continuing to code daily. This role is fully onsite in San Francisco, CA. Position Overview The Manufacturing Test Engineering Manager will be a hands-on technical leader responsible for developing and maintaining production test software for high-volume LiDAR sensor manufacturing. The ideal candidate will have strong Python development skills, proven experience in test engineering for electro-mechanical assemblies, and the ability to mentor and guide a team while contributing individually on a daily basis. The role requires close collaboration with cross-functional teams to improve test coverage, reduce test time, and ensure production readiness as new products move from development into manufacturing. Key Responsibilities Develop, maintain, and improve production test software using Python for LiDAR sensor and sub-assembly manufacturing. Serve as a working manager, providing technical leadership while contributing hands-on daily. Mentor and train Test Engineers on both technical and soft skills. Establish team priorities, KPIs, and work goals aligned with product development schedules and company objectives. Collaborate with cross-functional teams on software development, verification, and validation for new product introductions. Drive continuous improvement initiatives, including test time reduction, data quality enhancements, and production process optimization. Apply software engineering best practices, including coding standards, code reviews, source control management, CI/CD pipelines, and test automation. Communicate project updates, risks, and recommendations to management and stakeholders. Ensure timely completion of team deliverables and proactively address constraints or delays. Support contract manufacturing facilities with occasional travel (less than 10%). Work full-time onsite in San Francisco, CA. Qualifications and Skills Strong proficiency in Python development (minimum 5 years). Experience with CI/CD infrastructure, GitLab, Jenkins, and SQL database design. Strong skills in debugging, programming, data collection, and data analysis. Experience using project tracking tools such as Jira, Confluence, or equivalents. Proven ability to deliver results in a fast-paced engineering environment. Excellent organizational skills with the ability to manage multiple concurrent projects. Demonstrated people management or technical leadership experience (3+ years preferred). Experience working with high-precision electro-mechanical assemblies. Preferred: Experience developing test software for high-volume production and test equipment. Education BS in Computer Science, Mechatronics, Mechanical Engineering, or a related technical field required. MS degree preferred. Additional Information Background screening is conducted by the client. The Manufacturing group has zero tolerance for misdemeanor or felony theft or robbery offenses. This position is within an electrical component manufacturing environment (not medical devices). About Red Oak Technologies Since 1995, Red Oak Technologies has been a trusted partner in the technology industry, specializing in identifying and placing highly skilled contract, permanent, and project-based professionals. We value diversity and welcome applicants from all backgrounds and experiences. Red Oak Core Values: Relationships First | Exceptional Quality and Service | Unwavering Integrity and Trust | Be Easy To Do Business With | Respect Everyone

Our client is a well-funded, product-focused AI startup building next-generation systems that help organizations capture, organize, and leverage their internal knowledge at scale. Their platform blends modern machine learning, intelligent data pipelines, and context-aware models to make teams more effective, faster, and dramatically more aligned. They're growing quickly and looking for engineers with strong CS fundamentals and a passion for building ML systems that operate in the real world, not just in research settings. If you're energized by early-stage ownership and solving hard problems that matter, you'll thrive here. What You'll Work On Designing and shipping ML components end-to-end: training pipelines, data ingestion, evaluation, optimization, and deployment Building models and services that learn from unstructured signals (text, docs, conversations, workflows) and surface actionable insights Transforming research concepts into scalable production systems used by enterprise customers Architecting efficient, privacy-conscious model-serving infrastructure Collaborating across engineering, product, and research to rapidly experiment and iterate Owning technical decisions in a fast-paced environment where craftsmanship and velocity both matter Who Thrives Here Engineers with strong computer science foundations (algorithms, systems, distributed computing, data structures) Builders with experience in ML frameworks (PyTorch, TensorFlow, JAX) and modern backend systems Candidates coming from top CS programs or AI-first startups where they've shipped real, user-facing ML/AI features People who enjoy working in ambiguous, zero-to-one environments and want significant ownership Curious thinkers who care about model performance, reliability, and how their work impacts real users Bonus skills (not required): experience with LLMs, embeddings, personalization models, agentic workflows, or model evaluation at scale Why This Role Is Compelling You'll build foundational AI systems at a moment where the company is scaling quickly Your work will directly shape how customers interact with and benefit from AI You'll partner closely with experienced founders and senior engineers who value autonomy and deep thinking You'll have room to experiment, influence architecture, and meaningfully impact technical direction You'll join early enough to feel the upside, but after core customer traction is already proven What's On Offer A high-ownership engineering role with scope to grow into senior or staff pathways A culture that balances speed with thoughtful engineering Mission-driven work with clear real-world utility Competitive compensation, strong equity, and flexibility in how you build If you're excited by the idea of building intelligent systems that help real teams work smarter, and you want your engineering decisions to matter, we'd love to talk.

About the Opportunity: We're seeking an experienced, highly collaborative SRE to partner with product teams and tackle our most critical infrastructure challenges. You'll be hands-on in designing, building, and operating our cloud platform-and driving the reliability, performance, and security that empower our engineering organization. Responsibilities: Infrastructure as Code & CI/CD: Automate provisioning and deployments with Terraform and integrate best-practice pipelines (GitHub Actions, ArgoCD, etc.). Reliability Engineering: Define SLIs/SLOs, manage error budgets, and build dashboards & alerts to proactively measure and improve system health. Security & Compliance: Enforce least-privilege IAM policies, automate vulnerability scans, and maintain audit logging for compliance. Monitoring & Observability: Instrument services with metrics, logs, and distributed tracing to enable rapid troubleshooting, aid teams in alerting, custom metrics, and dashboarding Incident Management: Own on-call rotations, lead real-time incident response, conduct post-mortems, and drive continuous improvements. Cost Optimization: Implement tagging strategies, right-size resources, and leverage concrete data to decide on optimal methods to control cloud spend at scale. Documentation & Mentorship: Author runbooks, standards, and best-practice guides-and coach dev teams on implementing modern DevOps, reliability, and security patterns. Required Qualifications: Have 5+ years of experience running production critical systems. Deep proficiency with the AWS Cloud and Cloud-Native best practices. Experience with Kubernetes (EKS, GKE) and Container Orchestration at scale. Skilled in Terraform to declaratively provision and maintain infrastructure services. Working knowledge of managing and debugging databases like Redis and Postgres. Strong familiarity with VPC, VPN, Load Balancing, and cloud networking components. Proficiency with Git workflows, branching strategies, and CI/CD systemintegrations. Solid understanding of web and network protocols and standards (HTTP, REST, TLS, DNS, etc...) Professional proficiency in English (both written and spoken) is required for this role. Nice to Have Skills: Bachelor's degree, or equivalent in Computer Science, Engineering, or a related field. Experience with ArgoCD, GitHub Actions, Jenkins, or other CI/CD pipeline solutions. Working knowledge of Python, Golang, and Helm templating languages. Node.js experience a plus, including running scalable, resilient Node microservices. Grasp of foundational security best practices for cloud infrastructure. Awareness of Terragrunt, managing Terraform state, and optimal project structure. Seasoned in production readiness fundamentals amidst a fast-moving team. Avenue Code reinforces its commitment to privacy and to all the principles guaranteed by the most accurate global data protection laws, such as GDPR, LGPD, CCPA and CPRA. The Candidate data shared with Avenue Code will be kept confidential and will not be transmitted to disinterested third parties, nor will it be used for purposes other than the application for open positions. As a Consultancy company, Avenue Code may share your information with its clients and other Companies from the CompassUol Group to which Avenue Code's consultants are allocated to perform its services.

Silicon Design Package Engineer Contract This role is highly specialized in semiconductor packaging design, requiring strong EDA tool proficiency and knowledge of advanced packaging technologies Tools & Knowledge: Mentor/Siemens and Cadence tools (especially for Package Layout Automation - PLA). Technical Expertise: Multi-layer package design experience. Understanding of substrate manufacturing Design Rules and Assembly Rules. Familiarity with SIPI (Signal Integrity & Power Integrity) Rules. Flip-chip package design concepts

Socionext America Inc. (SNA) Socionext Inc., world's second largest fabless semiconductor company, designs, develops and delivers leading edge System-on-Chip cusom silicon solutions to global customers. The company is focused on datacenter compute server, networking, storage, artificial intelligence, automotive and industrial automation market segments that drive today's leading-edge services and applications. Socionext combines world-class expertise, deep enterprise class product development experience, and an extensive IP portfolio to provide differentiating solutions. Socionext Inc. is headquartered in Shin-Yokohama, and has offices in Japan, United States, Europe and Asia. We are seeking a Marketing Manager for our Data Center business with a background as an Applications Engineer. The primary responsibilities include but are not limited to: Create Data Center market technologies inflexion insights Develop Market Requirements Document (MRD) by engaging with market leading customers and capturing technology needs, systems roadmaps Study emerging market and industry technology trends Develop datacenter business opportunities and win strategies Advocate IP offerings roadmap to customers and collect feedback Working closely with management to drive all phases of customer design wins and execution Requirements for this position : Bachelor's Degree in EE, Masters preferred 5+ years of successful experience in marketing and closing business 8+ years of experience with data center networking, storage and server products (knowledge of data center interconnects) Must have experience in networking and storage industry. In depth knowledge of Storage applications is required. Familiarity with solid state storage is a plus. Requires an excellent understanding of ASIC design and manufacturing flows, including a good grasp of the competitive landscape Knowledge required - ASIC Marketing, CNICs/HBAs, PCIe, NVMe, Flash, SSD, SATA, SAS, iSCSI Ability to guide products through development, including the definition and trade off analysis of architectures and new features for the components required for Data Center ASIC Ability to lead with varied goals and objectives to achieve business unit's direction and purpose Ability to use financial tools such as ROI and NPV analysis to build business cases. Teamwork, dedication, strong communications and interpersonal skills Some travel ~10%

This role is highly specialized in semiconductor packaging design, requiring strong EDA tool proficiency and knowledge of advanced packaging technologies. Responsibilities: Tools & Knowledge: Mentor/Siemens and Cadence tools (especially for Package Layout Automation - PLA). Technical Expertise: Multi-layer package design experience. Understanding of substrate manufacturing Design Rules and Assembly Rules. Familiarity with SIPI (Signal Integrity & Power Integrity) Rules. Flip-chip package design concepts. Tasks: Perform point-to-point connections. Run DRC (Design Rule Checks), identify root causes, and fix issues. Execute design based on provided schematics, including component placement and constraint setup

Riedinger Consulting is a Sausalito based firm that specializes in management and analysis of engineering and construction projects. In business since 1997 as a woman-owned business, Riedinger Consulting assists public and private owners, general contractors, subcontractors, and design consultants with contract dispute resolution and project management services. Job Description Project Engineer/Staff Consultant will perform multiple tasks in support of both project management and contract dispute services on a variety of construction projects. As part of project management services, Project Engineer performs the following in support of the Project Manager: Attend weekly construction job site meetings with the Owner, Architect, and Contractor. Prepare meeting agenda and meeting minutes. Review, coordinate, and track submittals, shop drawings, requests for information (RFIs), and change proposals. Review project schedules submitted by Contractor and track construction progress. Collect Contractor daily reports and review. Ensure that the project site and construction activities are being consistently documented in writing and in photos. Assist with review of Contractor proposed change orders, and help prepare change orders for Owner approval. Coordinate and manage the drawings and specifications, clarification and interpretation, shop drawings, and submittal review processes. Coordinate the activities of the materials testing sub-consultant(s). Identify plan/construction issues and bring them directly to the attention of the Owner and design team before discussing them with the Contractor. Work to resolve conflicts and issues that may arise during construction of the Project. Quality Assurance/Quality Control: Assist Project Manager in verifying that all materials installed coincide with the approved submittals. File hard or electronic inspection reports, test reports, etc. Ensure that the Contractor maintains field mark-up drawings for use in preparation of as-builts and verify records for accuracy before final close-out. Collect, compile, review, and ensure that as-built information is accurately shown in the original set of plans. Review as-builts from Contractor and submit to the Owner a final set of as-builts. Participate in the job closeout process. As part of contract dispute services, Staff Consultant performs schedule, labor productivity, issue, and cost analyses. Analyses include the review of contemporaneous project documents including: Contracts and contract plans and specifications Project schedules and cost estimates Change orders and change order requests Job cost reports and labor reports Contractor daily reports and inspection reports Requests for information, correspondence, and emails Progress payments and progress photos Meeting minutes From this review, consultant will find information relevant to the preparation or defense of a construction claim. Additionally, Staff Consultant will work with the client's project team to get information about the project and the key issues impacting the project schedule. Consultant will summarize key information, findings, and conclusions in summary spreadsheets, schedules, exhibits, reports, and presentations for review by senior management and legal counsel. Specific Skills and Expertise 3-5 years of experience in construction management. B.S. degree in engineering, preferably civil or mechanical, or bachelor degree in construction management or architectural engineering. Proficient in use of MS Excel, Powerpoint, Word, and construction management software, such as Procore. Scheduling experience using Primavera P6, and MS Project. Excellent organizational, writing, and communication skills. Ability to read plans & specifications. Ability to analyze and interpret data, to summarize key information, and draw conclusions in a compressed timeframe. Attentive to details. Exercises creativity and resourcefulness in completing tasks accurately. Ability to work independently or in teams. Prioritizes and plans work activities. Core Values Strives for excellence. Positive, can-do attitude. Offers outstanding client service. Inspires respect and trust. Takes initiative to identify and analyze problems and propose solutions. Demonstrates and promotes high standards for quality and productivity. Contributes to building a positive team spirit and working environment. Demonstrates professionalism and accepts responsibility for own actions. Follows through on commitments. How to Apply Please send us your resume along with a cover letter describing your qualifications for the position to Kim Maynard: (***************************) with subject “Project Engineer/Staff Consultant.” Thanks for your interest! Please note that Riedinger Consulting is not able to provide visa sponsorship. We require candidates to already have work authorization in the U.S. without the need for employer sponsorship.

In an increasingly connected world, the pandemic has highlighted just how essential telecom networks are to keeping society running. The Network Infrastructure group is at the heart of a revolution to connectivity, pushing the boundaries to deliver more and faster network capacity to people worldwide through our ambition, innovation, and technical expertise Join Optical Networks division, where innovation meets scale in the AI-driven data center era. With the recent acquisition of Infinera, we've united two industry leaders to create an optical networking powerhouse-combining cutting-edge technology with proven leadership to redefine the future of connectivity. Infinera is now part of the Nokia Corporation and its subsidiaries. When you apply, the information you share will be handled with care and used only for recruitment purposes within the group. Responsibilities Optimize plasma deposition, plasma etch, wet etch and clean, and related processes needed for PIC wafer fabrication. Work in teams to scale PIC wafer fabrication processes to larger wafer sizes, while meeting key objectives for PIC yield, uniformity, and end-of-line parametric performance. Troubleshoot wafer fabrication process problems to enable a smooth flow of production and development wafers in the fab. Support engineering process and tool owners in resolving fab process or equipment problems. Execute fabrication work and data collection to support process development for etch, and deposition, and photolithography roadmap activities needed for future PIC technology. Utilize metrology equipment and test structures to maintain process control across wafer fab process modules, improve production yield and enable and guide new process development. Qualifications JMP, DOE, SPC and their application to semiconductor manufacturing Working knowledge of semiconductor fabrication processes, and expertise in etch, deposition, photolithography and related processes. Strong initiative, leadership and communication skills. Experience with semiconductor process development, sustaining, new process introduction, and ramp to volume. Experience supporting a 24x7 fab operations team, writing and training of fab procedures, root cause analysis and problem resolution. Education/Experience Required: B.S degree or equivalent experience. Preferred Knowledge/Skills/Abilities: Technical depth in aspects of, etch, deposition, photolithography or similar tools and processes used for semiconductor manufacturing. 5 years' experience in broad aspects of semiconductor wafer fabrication. Knowledge of wafer fab metrology tools, for example ellipsometry, CD-SEM, step height, and overlay metrology Clear communication of problems, challenges, and initiative in deploying solutions. A working knowledge and fab experience from pathfinding through mature production. A compound semiconductor background is a plus Same Posting Description for Internal and External Candidates About Us Come create the technology that helps the world act together Nokia is committed to innovation and technology leadership across mobile, fixed and cloud networks. Your career here will have a positive impact on people's lives and will help us build the capabilities needed for a more productive, sustainable, and inclusive world. We challenge ourselves to create an inclusive way of working where we are open to new ideas, empowered to take risks and fearless to bring our authentic selves to work What we offer Nokia offers continuous learning opportunities, well-being programs to support you mentally and physically, opportunities to join and get supported by employee resource groups, mentoring programs and highly diverse teams with an inclusive culture where people thrive and are empowered. Nokia is committed to inclusion and is an equal opportunity employer Nokia has received the following recognitions for its commitment to inclusion & equality: One of the World's Most Ethical Companies by Ethisphere Gender-Equality Index by Bloomberg Workplace Pride Global Benchmark At Nokia, we act inclusively and respect the uniqueness of people. Nokia's employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law. We are committed to a culture of inclusion built upon our core value of respect. Join us and be part of a company where you will feel included and empowered to succeed. Additional Information US/Canada Nokia Offers a comprehensive benefits package that includes but is not limited to: Corporate Retirement Savings Plan Health and dental benefits Short-term disability, and long-term disability Life insurance, and AD&D - Company paid 2x base pay Optional or Supplemental life and AD&D insurance (Employee/Spouse/Child) Paid time off for holidays and Vacation Employee Stock Purchase Plan Tuition Assistance Plan Adoption assistance Employee Assistance Program/Work Life Resource Program The above benefits exclude students. Disclaimer for US/Canada Nokia Maintains broad annual base salary ranges for its roles in order to account for variations in knowledge, skills, experience and market conditions, and with consideration to internal peer equity.(Check the salary ranges in the job info section for this role) All North America job posts will post for a minimum of 7 calendar days and up to 180 days or until candidate/s identified.

Imagine being at the forefront of an evolution where innovative AI meets the elegance of Apple silicon. The On-Device Machine Learning team transforms groundbreaking research into practical applications, enabling billions of Apple devices to run powerful AI models locally, privately, and efficiently. We stand at the unique intersection of research, software engineering, hardware engineering, and product development, making Apple the leading destination for machine learning innovation. Our team builds the essential infrastructure that enables machine learning at scale on Apple devices. This involves onboarding powerful architectures to embedded systems, developing optimization toolkits for model compression and acceleration, building ML compilers and runtimes for efficient execution, and creating comprehensive benchmarking and debugging toolchains. This infrastructure forms the backbone of Apple's machine learning workflows across Camera, Siri, Health, Vision, and other core experiences, contributing to the overall Apple Intelligence ecosystem. If you are passionate about the technical challenges of running sophisticated ML models across all devices, from resource-constrained devices to powerful clusters, and eager to directly impact how machine learning operates across the Apple ecosystem, this role presents a great opportunity to work on the next generation of intelligent experiences on Apple platforms. Our group is looking for an ML Infrastructure Engineer, with a focus on model compilation. The role entails working closely with model authoring, runtime, and performance teams to ensure that models can bring to bear the full capabilities of the hardware. We're building an end-to-end developer experience for machine learning development that employs Apple's vertical integration. This allows developers to iterate on model authoring, optimization, transformation, execution, debugging, profiling, and analysis. This role focuses on the core runtime for execution across a wide variety of devices and use cases. We're seeking a highly motivated software engineer who is creative, versatile, and passionate about machine learning, common compiler optimizations, and system software engineering in the fast-paced and dynamic field of machine learning. We have an MLIR-based compiler stack, and use it to target the neural engine, GPU, and CPU in order to harness the full capabilities of the system for ML workflows and execution. Familiarity with Swift. Familiarity with programming paradigms for the GPU, CPU, and Neural Engine. Familiarity with writing kernels for ML model execution. 3-5 years working on MLIR-based compilers. Familiarity with common ML model architectures, execution schemes, and operations. Familiarity with C++ Familiarity with PyTorch or related training frameworks

At Meta Reality Labs, we are developing the future of Wearables and Mixed Reality products. This team focuses on developing display and optics technologies for Meta products, creating see-through display systems that seamlessly blend the real and virtual realms. The role involves designing architecture and display sub-systems for wearable glasses, developing and implementing test, characterization, metrology, and data solutions to support transparent display systems.We're seeking an experienced Engineer to join our Reality Labs team, where you'll play a pivotal role in shaping the future of wearables. As a key member of our team, you'll explore innovative architectures and design spaces for our wearable devices, develop and analyze components, and drive detailed analysis. In this role, you will be part of a dynamic environment where you will consistently switch between high-level thinking and meticulous attention to detail to mature our architectures and designs. **Required Skills:** Optical Device Modeling Engineer Responsibilities: 1. Lead cross-functional teams in the design, development, and implementation of cutting-edge optical solutions for new optics architectures, utilizing innovative materials and processes 2. Identify, incubate, and productize optical technologies that have the potential to revolutionize the field of Wearable optics 3. Specify key performance metrics, test methods, and test requirements for optical components and systems 4. Develop and maintain technical roadmaps 5. Interface with stakeholders and leadership to influence product roadmaps 6. Stay updated on industry trends, emerging technologies, and competitor activity 7. Manage budgets, resources, and collaborations with global vendors **Minimum Qualifications:** Minimum Qualifications: 8. Bachelor's degree in Optical Engineering, Electrical Engineering, Physics, or a related technical discipline 9. 6+ years of industry experience with a proven track record of full product development cycle of Consumer Electronics 10. Experience and expertise in these areas: optical design software, geometrical optics, wave optics, and polarization optics, optical materials, coatings, manufacturing processes, Imaging optics design and manufacturing, display optics, optical sensing, optical system integration and testing 11. Technical leadership, communication, and project management skills 12. Problem-solving, analytical, and critical thinking skills **Preferred Qualifications:** Preferred Qualifications: 13. Advanced degree in Optical Engineering, Electrical Engineering, Physics, or a related technical discipline 14. In-depth knowledge of electromagnetic modeling techniques, such as the finite element method (FEM), finite-difference time-domain (FDTD), and rigorous coupled-wave analysis (RCWA) 15. Experience working with optical design software such as Meep, Lumerical, LightTools, Zemax, Code V, FRED, or similar 16. Experience in building predictive optical models, validating designs and models with metrology data, and closing the loop between simulations and measurements 17. Experience using scripting languages and data analysis tools such as Python, JMP, or MATLAB 18. Experience working with external vendors to deliver custom optical components, modules, or systems, involving challenging optical requirements to drive innovative fabrication process development, and new opto-mechanical integration and metrology techniques 19. Process development and failure analysis experience for optical components and modules such as cameras, sensors, or illumination/projector systems 20. Experience in developing optical modules or systems in highly multidisciplinary environments, including setting specifications, determining test methods, and overall module and system integration **Public Compensation:** $139,000/year to $200,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

** Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today's needs and tomorrow's next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we're living in and that we have the power to shape. Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality. Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward. **Job Description** **Essential Duties & Responsibilities:** + In this position, the individual will be responsible to develop NAND memory trim, push the performance and reliability envelope of flash memory which is used in best-in-class high-density storage application + The individual will be responsible for working in partnership with NAND design and system development teams to drive technology & product development + The individual will be responsible for defining, developing and executing NAND flash memory performance and reliability tests; analyze & report data to cross-functional teams to drive product and process improvements + The individual will communicate & work with members from process, design, reliability, and system groups to ensure timely product device support, memory qualification, and ramp of volume production **Qualifications** **Required:** + MS/PhD degree in Electrical Engineering, Applied Physics, or a related field + In-depth knowledge of semiconductor device physics, process, and reliability, as well as circuit design. NAND flash memory device and physics knowledge is also a must. + C/C++/Java Programming and Perl/Python Scripting + Ability to analyze problem and work independently as required **Preferred skills:** + PhD degree + Industry experience in semiconductor memory development, device engineering, reliability engineering, product/test engineering, is strongly preferred + Excellent communication and teamwork abilities **Additional Information** Sandisk is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person's gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person's assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the "Know Your Rights: Workplace Discrimination is Illegal (************************************************************************************** " poster. Our pay transparency policy is available here (*********************************************************************************************** . Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at jobs.accommodations@sandisk.com to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. \#LI-TG1

As a Site Reliability Engineer (Contractor), you will be a hands-on contributor, focused on supporting and improving the reliability of our AWS cloud infrastructure. You will apply core SRE principles to automate operational tasks, monitor system health, and participate in incident response. This role is execution-focused, supporting the senior team in ensuring our services are available and performant while maintaining an awareness of healthcare compliance standards. The contract extension beyond 3 months will be on the need basis. Key Responsibilities (Contract Deliverables) Cloud Infrastructure Execution & Maintenance: Assist in deploying, configuring, and maintaining highly available AWS infrastructure components. Execute Infrastructure as Code (IaC) changes using tools like Terraform to provision and configure resources. Support the operations and maintenance of existing containerized applications running on platforms like Kubernetes and Docker. AWS Networking Support: Assist the senior team in maintaining the security and efficiency of our core AWS network topologies (e.g., VPCs, subnets, routing). Perform basic configuration and maintenance of cloud load balancing (ALB/NLB) and DNS services (Route 53). Support the enforcement of network security policies and assist in routine network troubleshooting for connectivity or latency issues. Site Reliability & Automation: Identify and automate routine manual operational tasks using scripting (Python/Bash) to improve efficiency and reduce toil. Participate in blameless post-mortems and incident response efforts, focusing on documenting steps taken and assisting with root cause analysis. Contribute to the documentation and adherence of established Service Level Objectives (SLOs) and Service Level Indicators (SLIs). Monitoring & Compliance: Maintain and use existing monitoring, logging, and alerting systems (e.g., Prometheus, Grafana, ELK stack) to ensure system health. Assist in managing and verifying CI/CD pipelines to ensure safe and efficient software releases. Support compliance efforts by ensuring operational procedures align with security best practices and regulatory requirements (HIPAA, SOC 2). Required Qualifications 8+ years of hands-on experience in a DevOps, Cloud Engineering, or SRE-focused technical role. Solid practical experience with AWS cloud provider services. Hands-on experience with Linux administration and troubleshooting. Proficiency in scripting languages such as Python, Bash, etc for automation. Solid experience with Infrastructure as Code tools such as Terraform. Experience with containerization technologies such as Docker and Kubernetes. Experience with monitoring systems like Prometheus, Grafana, AWS Cloud Watch. Experience with writing SQLs on PostgreSQL DB. Working understanding of core networking principles (VPC, routing, load balancing). Basic understanding of security and compliance requirements in a regulated industry (e.g., healthcare, finance). Preferred Qualifications Relevant certifications such as AWS Certified SysOps Administrator or AWS Certified Developer. Familiarity with CI/CD tools (e.g., Jenkins, GitLab CI). Compensation: $72 - $90 per hour ID#: 2508

Our client is a well-funded, product-focused AI startup building next-generation systems that help organizations capture, organize, and leverage their internal knowledge at scale. Their platform blends modern machine learning, intelligent data pipelines, and context-aware models to make teams more effective, faster, and dramatically more aligned. They're growing quickly and looking for engineers with strong CS fundamentals and a passion for building ML systems that operate in the real world, not just in research settings. If you're energized by early-stage ownership and solving hard problems that matter, you'll thrive here. What You'll Work On Designing and shipping ML components end-to-end: training pipelines, data ingestion, evaluation, optimization, and deployment Building models and services that learn from unstructured signals (text, docs, conversations, workflows) and surface actionable insights Transforming research concepts into scalable production systems used by enterprise customers Architecting efficient, privacy-conscious model-serving infrastructure Collaborating across engineering, product, and research to rapidly experiment and iterate Owning technical decisions in a fast-paced environment where craftsmanship and velocity both matter Who Thrives Here Engineers with strong computer science foundations (algorithms, systems, distributed computing, data structures) Builders with experience in ML frameworks (PyTorch, TensorFlow, JAX) and modern backend systems Candidates coming from top CS programs or AI-first startups where they've shipped real, user-facing ML/AI features People who enjoy working in ambiguous, zero-to-one environments and want significant ownership Curious thinkers who care about model performance, reliability, and how their work impacts real users Bonus skills (not required): experience with LLMs, embeddings, personalization models, agentic workflows, or model evaluation at scale Why This Role Is Compelling You'll build foundational AI systems at a moment where the company is scaling quickly Your work will directly shape how customers interact with and benefit from AI You'll partner closely with experienced founders and senior engineers who value autonomy and deep thinking You'll have room to experiment, influence architecture, and meaningfully impact technical direction You'll join early enough to feel the upside, but after core customer traction is already proven What's On Offer A high-ownership engineering role with scope to grow into senior or staff pathways A culture that balances speed with thoughtful engineering Mission-driven work with clear real-world utility Competitive compensation, strong equity, and flexibility in how you build If you're excited by the idea of building intelligent systems that help real teams work smarter, and you want your engineering decisions to matter, we'd love to talk.

Do you want to shape the future of technology and multimedia? Apple's Multimedia Engineering team is looking for a video standards engineer who will represent the voice of Apple Multimedia in standards bodies around the world. In this role, you will join a small team that is responsible for Apple's engagement with several standards developing organizations including Alliance for Open Media (AOM), ITU, MPEG, 3GPP, and others. You will investigate and develop new media technologies collaborate with other teams within Apple in such development and then engage with these organizations for their standardization. As a video standards engineer, you will be a member of a team that represents Apple in the international standards' community. In this role you will be providing a clear position on our analysis of ongoing standards, refining and commenting on work in progress, proposing and driving to completion Apples initiatives and in general, steering the work to develop the field in line with Apple's vision and values. You may also represent Apple at standardization calls and meeting, integrating the feedback of the Apple community on the ongoing work and representing that at meetings. You will engage with various standards bodies, including the Alliance for Open Media, MPEG, 3GPP, ITU etc. and you will be involved in the development of new 2D and 3D multimedia standards. This position requires travel. Awareness of the interaction of intellectual property and standards. Curiosity and interest in new technologies and ideas especially pertaining to multimedia. Excellent judgement and integrity with the ability to make timely and sound decisions. Self-motivation and creative and critical thinking capabilities. Strong Collaboration Skills The ability to prioritize, drive and supervise initiatives. M.S. or higher in EE/CE/CS with a focus in software engineering and or signal processing Knowledgeable in video compression and the multimedia field in general, including 3D visual information coding. Good knowledge of the development of international standards, especially those pertaining to video/multimedia compression. Experienced in developing sophisticated video compression technologies such as MPEG-4 AVC, HEVC, VVC, or AOMedia's AV1 adn AV2 helpful. Track record of effective participation. Able to develop, analyze, propose and refine new algorithms and techniques; help develop Apples intellectual property position with inventions and filings. Experienced in key multimedia specifications from AOM, ISO, ITU, SMPTE, etc. Familiar with software development tools including Xcode, Git etc. Proficient in practical software development and able to contribute to large codebases e.g. of reference software (C, C++). Excellent writing, speaking, presentation and other interpersonal skills.

At Meta Reality Labs, we are developing the future of Wearables and Mixed Reality products. This team focuses on developing display and optics technologies for Meta products, creating see-through display systems that seamlessly blend the real and virtual realms. The role involves designing architecture and display sub-systems for wearable glasses, developing and implementing test, characterization, metrology, and data solutions to support transparent display systems. We're seeking an experienced Engineer to join our Reality Labs team, where you'll play a pivotal role in shaping the future of wearables. As a key member of our team, you'll explore innovative architectures and design spaces for our wearable devices, develop and analyze components, and drive detailed analysis. In this role, you will be part of a dynamic environment where you will consistently switch between high-level thinking and meticulous attention to detail to mature our architectures and designs. Minimum Qualifications * Bachelor's degree in Optical Engineering, Electrical Engineering, Physics, or a related technical discipline * 6+ years of industry experience with a proven track record of full product development cycle of Consumer Electronics * Experience and expertise in these areas: optical design software, geometrical optics, wave optics, and polarization optics, optical materials, coatings, manufacturing processes, Imaging optics design and manufacturing, display optics, optical sensing, optical system integration and testing * Technical leadership, communication, and project management skills * Problem-solving, analytical, and critical thinking skills Preferred Qualifications * Advanced degree in Optical Engineering, Electrical Engineering, Physics, or a related technical discipline * In-depth knowledge of electromagnetic modeling techniques, such as the finite element method (FEM), finite-difference time-domain (FDTD), and rigorous coupled-wave analysis (RCWA) * Experience working with optical design software such as Meep, Lumerical, LightTools, Zemax, Code V, FRED, or similar * Experience in building predictive optical models, validating designs and models with metrology data, and closing the loop between simulations and measurements * Experience using scripting languages and data analysis tools such as Python, JMP, or MATLAB * Experience working with external vendors to deliver custom optical components, modules, or systems, involving challenging optical requirements to drive innovative fabrication process development, and new opto-mechanical integration and metrology techniques * Process development and failure analysis experience for optical components and modules such as cameras, sensors, or illumination/projector systems * Experience in developing optical modules or systems in highly multidisciplinary environments, including setting specifications, determining test methods, and overall module and system integration Responsibilities * Lead cross-functional teams in the design, development, and implementation of cutting-edge optical solutions for new optics architectures, utilizing innovative materials and processes * Identify, incubate, and productize optical technologies that have the potential to revolutionize the field of Wearable optics * Specify key performance metrics, test methods, and test requirements for optical components and systems * Develop and maintain technical roadmaps * Interface with stakeholders and leadership to influence product roadmaps * Stay updated on industry trends, emerging technologies, and competitor activity * Manage budgets, resources, and collaborations with global vendors About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today's needs and tomorrow's next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we're living in and that we have the power to shape. Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality. Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward. Job Description Essential Duties & Responsibilities: In this position, the individual will be responsible to develop NAND memory trim, push the performance and reliability envelope of flash memory which is used in best-in-class high-density storage application The individual will be responsible for working in partnership with NAND design and system development teams to drive technology & product development The individual will be responsible for defining, developing and executing NAND flash memory performance and reliability tests; analyze & report data to cross-functional teams to drive product and process improvements The individual will communicate & work with members from process, design, reliability, and system groups to ensure timely product device support, memory qualification, and ramp of volume production Qualifications Required: MS/PhD degree in Electrical Engineering, Applied Physics, or a related field In-depth knowledge of semiconductor device physics, process, and reliability, as well as circuit design. NAND flash memory device and physics knowledge is also a must. C/C++/Java Programming and Perl/Python Scripting Ability to analyze problem and work independently as required Preferred skills: PhD degree Industry experience in semiconductor memory development, device engineering, reliability engineering, product/test engineering, is strongly preferred Excellent communication and teamwork abilities Additional Information Sandisk is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person's gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person's assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the "Know Your Rights: Workplace Discrimination is Illegal” poster. Our pay transparency policy is available here. Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at [email protected] to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. #LI-TG1

As a Site Reliability Engineer (Contractor), you will be a hands-on contributor, focused on supporting and improving the reliability of our AWS cloud infrastructure. You will apply core SRE principles to automate operational tasks, monitor system health, and participate in incident response. This role is execution-focused, supporting the senior team in ensuring our services are available and performant while maintaining an awareness of healthcare compliance standards. The contract extension beyond 3 months will be on the need basis. Key Responsibilities (Contract Deliverables) Cloud Infrastructure Execution & Maintenance: Assist in deploying, configuring, and maintaining highly available AWS infrastructure components. Execute Infrastructure as Code (IaC) changes using tools like Terraform to provision and configure resources. Support the operations and maintenance of existing containerized applications running on platforms like Kubernetes and Docker. AWS Networking Support: Assist the senior team in maintaining the security and efficiency of our core AWS network topologies (e.g., VPCs, subnets, routing). Perform basic configuration and maintenance of cloud load balancing (ALB/NLB) and DNS services (Route 53). Support the enforcement of network security policies and assist in routine network troubleshooting for connectivity or latency issues. Site Reliability & Automation: Identify and automate routine manual operational tasks using scripting (Python/Bash) to improve efficiency and reduce toil. Participate in blameless post-mortems and incident response efforts, focusing on documenting steps taken and assisting with root cause analysis. Contribute to the documentation and adherence of established Service Level Objectives (SLOs) and Service Level Indicators (SLIs). Monitoring & Compliance: Maintain and use existing monitoring, logging, and alerting systems (e.g., Prometheus, Grafana, ELK stack) to ensure system health. Assist in managing and verifying CI/CD pipelines to ensure safe and efficient software releases. Support compliance efforts by ensuring operational procedures align with security best practices and regulatory requirements (HIPAA, SOC 2). Required Qualifications 8+ years of hands-on experience in a DevOps, Cloud Engineering, or SRE-focused technical role. Solid practical experience with AWS cloud provider services. Hands-on experience with Linux administration and troubleshooting. Proficiency in scripting languages such as Python, Bash, etc for automation. Solid experience with Infrastructure as Code tools such as Terraform. Experience with containerization technologies such as Docker and Kubernetes. Experience with monitoring systems like Prometheus, Grafana, AWS Cloud Watch. Experience with writing SQLs on PostgreSQL DB. Working understanding of core networking principles (VPC, routing, load balancing). Basic understanding of security and compliance requirements in a regulated industry (e.g., healthcare, finance). Preferred Qualifications Relevant certifications such as AWS Certified SysOps Administrator or AWS Certified Developer. Familiarity with CI/CD tools (e.g., Jenkins, GitLab CI). Compensation: $72 - $90 per hour ID#: 2508

Our client is a well-funded, product-focused AI startup building next-generation systems that help organizations capture, organize, and leverage their internal knowledge at scale. Their platform blends modern machine learning, intelligent data pipelines, and context-aware models to make teams more effective, faster, and dramatically more aligned. They're growing quickly and looking for engineers with strong CS fundamentals and a passion for building ML systems that operate in the real world, not just in research settings. If you're energized by early-stage ownership and solving hard problems that matter, you'll thrive here. What You'll Work On Designing and shipping ML components end-to-end: training pipelines, data ingestion, evaluation, optimization, and deployment Building models and services that learn from unstructured signals (text, docs, conversations, workflows) and surface actionable insights Transforming research concepts into scalable production systems used by enterprise customers Architecting efficient, privacy-conscious model-serving infrastructure Collaborating across engineering, product, and research to rapidly experiment and iterate Owning technical decisions in a fast-paced environment where craftsmanship and velocity both matter Who Thrives Here Engineers with strong computer science foundations (algorithms, systems, distributed computing, data structures) Builders with experience in ML frameworks (PyTorch, TensorFlow, JAX) and modern backend systems Candidates coming from top CS programs or AI-first startups where they've shipped real, user-facing ML/AI features People who enjoy working in ambiguous, zero-to-one environments and want significant ownership Curious thinkers who care about model performance, reliability, and how their work impacts real users Bonus skills (not required): experience with LLMs, embeddings, personalization models, agentic workflows, or model evaluation at scale Why This Role Is Compelling You'll build foundational AI systems at a moment where the company is scaling quickly Your work will directly shape how customers interact with and benefit from AI You'll partner closely with experienced founders and senior engineers who value autonomy and deep thinking You'll have room to experiment, influence architecture, and meaningfully impact technical direction You'll join early enough to feel the upside, but after core customer traction is already proven What's On Offer A high-ownership engineering role with scope to grow into senior or staff pathways A culture that balances speed with thoughtful engineering Mission-driven work with clear real-world utility Competitive compensation, strong equity, and flexibility in how you build If you're excited by the idea of building intelligent systems that help real teams work smarter, and you want your engineering decisions to matter, we'd love to talk.