Process engineer jobs in San Mateo, CA

Foster City, CA (On-Site) Contract | 6-12 Months | $90-100/hr About the Role We're an autonomous mobility company building an on-demand, driverless ride-hailing service-and we're looking for a Business Intelligence Engineer to help power the insights behind our safety, operations, and commercial readiness efforts. In this role, you'll partner closely with data scientists, engineers, and operational leaders to build scalable data models, high-impact dashboards, and reliable metrics that support informed, data-driven decisions. What You'll Do Partner with technical and non-technical teams to gather requirements and deliver automated, actionable BI solutions. Design, build, and maintain data models, datamarts, and ETL/ELT pipelines. Collaborate with data scientists and engineers to define consistent and trustworthy metrics. Develop dashboards and visualizations that drive operational insights and support leadership decisions. Enable self-service analytics and promote data literacy across the organization. Ensure reporting best practices-data integrity, validation, documentation, and scalability. Translate business needs into well-structured data assets under fast-paced timelines. Ideal Candidate Profile dbt certification or strong hands-on experience with dbt. Experience with Airflow for workflow orchestration. Strong background in analytics engineering, SQL, and dimensional data modeling. Full-stack BI skill set: ~40-50% dashboarding and ~50-60% backend datamart development. Proven ability to build and maintain datamarts-not just frontend dashboards. Skilled in creating self-serve dashboards and working directly with stakeholders. Must have Looker (not Looker Studio) experience, including LookML modeling. Required Skills 6+ years of relevant industry experience. Degree or background in Computer Science, Engineering, Applied Math, Statistics, or similar. High proficiency in SQL, dbt, and data modeling. Expertise in Looker and BI best practices. Strong communication and collaboration skills. Interview Process Coding Assessment 30-minute Zoom interview with Hiring Manager 1.5-hour technical panel interview

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.

Ascendion is a full-service digital engineering solutions company. We make and manage software platforms and products that power growth and deliver captivating experiences to consumers and employees. Our engineering, cloud, data, experience design, and talent solution capabilities accelerate transformation and impact for enterprise clients. Headquartered in New Jersey, our workforce of 6,000+ Ascenders delivers solutions from around the globe. Ascendion is built differently to engineer the next. Ascendion | Engineering to elevate life We have a culture built on opportunity, inclusion, and a spirit of partnership. Come, change the world with us: Build the coolest tech for world's leading brands Solve complex problems - and learn new skills Experience the power of transforming digital engineering for Fortune 500 clients Master your craft with leading training programs and hands-on experience Experience a community of change makers! Join a culture of high-performing innovators with endless ideas and a passion for tech. Our culture is the fabric of our company, and it is what makes us unique and diverse. The way we share ideas, learning, experiences, successes, and joy allows everyone to be their best at Ascendion. About the Role: Title: SRE Location: REMOTE Qualifications Identity-Related Efforts Knowledge of identity - authentication, authorization, and directory services Experience with Okta Experience with Terraform Specifically, must be able to prioritize, plan, build, test, and launch Terraform workflows from end-to-end Proficiency in Python Recent portfolio projects will be required for review and interviews will include coding challenges Experience with CI/CD pipelines Infrastructure as Code experience Knowledge of observability - monitoring and alerting Experience with Kubermetheus Stack (Kubernetes, Prometheus, Loki, Grafana, Alert Manager) Experience with AWS Proficiency in Python Salary Range: The salary for this position is between $130,000- $145,000 annually. Factors which may affect pay within this range may include geography/market, skills, education, experience, and other qualifications of the successful candidate. Benefits: The Company offers the following benefits for this position, subject to applicable eligibility requirements: [medical insurance] [dental insurance] [vision insurance] [401(k) retirement plan] [long-term disability insurance] [short-term disability insurance] [5 personal day accrued each calendar year. The Paid time off benefits meet the paid sick and safe time laws that pertains to the City/ State] [10-15 day of paid vacation time] [6 paid holidays and 1 floating holiday per calendar year] [Ascendion Learning Management System]

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.

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%

About GSPANN Headquartered in California, U.S.A., GSPANN provides consulting and IT services to global clients. We help clients transform how they deliver business value by helping them optimize their IT capabilities, practices, and operations with our experience in retail, high-technology, and manufacturing. With five global delivery centers and 1900+ employees, we provide the intimacy of a boutique consultancy with the capabilities of a large IT services firm. Title: Lead WMS Functional Quality Engineer Location: San Ramon, CA (4 days/week) Job Type: Contractual Duration: Long Term 15+ years of total IT Experience and expertise in technical configuration of WMS product, Solution Integration, Quality Assurance, System Testing, PLSQL, SQL Server, and Performance Tuning. Must have Retail/Ecommerce ERP experience like Manhattan/Blue Yonder/Fluent etc.. 10+ years of experience in progressive web and mobile apps technology and Retail Ecommerce domain. Comfort and experience working in an Agile SCRUM and Test-driven environment. Ensure that the WMS is correctly set up, tested, and commissioned within the warehouse operations. Must have Working experience in Retail Domain with Ecommerce platforms, OMS, WMS, Supply chain, inventory. Exposure and understanding to Modern web standards and technology. Coordinate changes and reconfiguration of the WMS effectively to ensure that day-to-day business operations are not adversely affected during the transition. Gather and understand process requirements for effective process management via the WMS. Conduct system testing prior to any process change go-live. Ensure all relevant and required test cases are executed, documented with results, and implemented in a controlled manner. Draft user acceptance testing (UAT) cases and prepare the system for UAT. Conduct UAT as required. Working at GSPANN GSPANN is a diverse, prosperous, and rewarding place to work. We provide competitive benefits, educational assistance, and career growth opportunities to our employees. Every employee is valued for their talent and contribution. Working with us will give you an opportunity to work globally with some of the best brands in the industry. The company does and will take affirmative action to employ and advance in the employment of individuals with disabilities and protected veterans and to treat qualified individuals without discrimination based on their physical or mental disability status. GSPANN is an equal opportunity employer for minorities/females/veterans/disabled.

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

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 innovative 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 interoperability with PyTorch. The role entails working closely with model authoring and compiler teams to ensure that the latest PyTorch features are interoperable with our platform and proposing upstream changes to PyTorch in order to better support interoperability where needed. 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. Given the prevalence of PyTorch in the ML ecosystem, we support integrations and interoperability that allow for seamlessly switching between PyTorch and our platform's tools in order to better train, optimize, and export models that run across all types of devices and device clusters. Experience working on or adjacent to MLIR-based compilers. Familiarity with QAT and other compression and quantization techniques employing PyTorch workflows Familiarity with other training and inference frameworks including JAX, MLX, etc. Familiarity with C++ and Swift Familiarity with GPU programming paradigms 3-5 years working on tooling built in Python 3 Familiarity with Torch Dynamo and downstream infrastructure (torch.export and torch.compile) Familiarity with the core Aten and prims opsets and related infrastructure

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

Job Title: Standard Cell Characterization Engineer Position Type: Full-Time About Us Auradine is a fast-growing, well-funded startup building scalable, sustainable, and secure infrastructure for blockchain and AI applications. Founded in 2022 and backed by top-tier investors, our team includes veterans from Palo Alto Networks, Marvell, Intel, Google, and other leading tech companies. We are headquartered in Santa Clara, CA. Role Overview You will own the cell characterization flow in Auradine and play a critical role in building the foundation of our ASIC and silicon platform by enabling high-quality, high-performance cell libraries. Job Responsibilities ● Characterize standard cells for advanced technology nodes. ● Generate Liberty (NLDM/CCS/ECSM) timing, power, and noise models. ● Drive methodology improvement to achieve accurate and self-consistent characterization with reasonable runtime. ● Develop automation and analysis scripts in Python or Perl. ● Interface with design, physical implementation, and CAD teams to ensure library quality and smooth integration. ● Perform silicon correlation and validation of characterized models as needed. Qualifications ● Bachelor's or advanced degree in a related field. ● Minimum 3+ years of experience in standard cell library characterization. ● Experience with Liberate or PrimeLib. ● Strong command of SPICE simulations and Liberty model generation. ● Strong scripting ability in Python, Perl, or TCL. ● Understanding of advanced node design challenges (e.g., 7nm, 5nm, 3nm). ● Knowledge of standard cell design and physical layout. ● Familiarity with library QA methodologies. ● Deep understanding of power analysis, variation-aware characterization and LVF methodology.

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.