Quality engineer jobs in Castro Valley, CA - 3,777 jobs

San Francisco Bay Area, California, United States Hardware Imagine playing a pivotal role in bringing Apple's groundbreaking mobile SoCs to life, impacting millions of users worldwide. As a DDR Silicon Validation Engineer, you will be at the forefront of innovation, performing critical lab characterization and validation of advanced analog and mixed‑signal embedded circuits. This is an unparalleled opportunity to join a dynamic, multi‑functional team where your expertise will directly contribute to launching products that redefine what's possible and enrich people's lives. If you thrive on solving complex challenges and are eager to shape the future of mobile technology, we invite you to explore this exciting role. Description This role involves the comprehensive bench‑level validation, bring‑up, and characterization of DDR memory interfaces within Apple's cutting‑edge SoCs. You will be responsible for developing and executing electrical tests, automating data collection, and providing crucial design feedback through detailed analysis and reporting. Success in this position requires a hands‑on approach to debugging complex silicon issues and a strong understanding of signal and power integrity measurements. Responsibilities Perform hands‑on bench test, bring‑up, and characterization of DDR memory interfaces for complex SoCs. Develop robust benchtop electrical tests, utilizing various interfaces like FPGA, JTAG, SPI, and analog controls. Automate test execution, data extraction, and report generation through scripting with database and analytical tools. Debug complex silicon issues and provide detailed characterization reports with actionable design feedback. Conduct in‑system Power Integrity (PI) and Signal Integrity (SI) measurements, correlating results with simulation models. Collaborate closely with cross‑functional teams including Design, System Hardware, and Software to ensure seamless integration and validation. Support ATE and Product Engineering teams for inter‑operability tests and production ramp‑up. Minimum Qualifications BS and 10 +years of relevant industry experience. Preferred Qualifications Master's and or Ph.D. degree in Electrical Engineering or a related field. Proven experience in DDR memory validation, characterization, or bring‑up. Proficiency in scripting languages such as Python, Perl, or MATLAB for test automation and data analysis. Strong hands‑on lab skills with test equipment including oscilloscopes, logic analyzers, and BERTs. Deep understanding of signal integrity (SI) and power integrity (PI) concepts and measurement techniques. Demonstrated ability to debug complex silicon issues and drive root cause analysis. Experience collaborating effectively with cross‑functional teams (Design, System HW, SW, ATE). Familiarity with SoC architecture and various on‑chip interfaces (e.g., JTAG, SPI). At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $181,100 and $318,400, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant. Apple accepts applications to this posting on an ongoing basis. #J-18808-Ljbffr

Directly interface with automotive customer quality engineers to collaborate on product quality topics Directly interface with internal teams to address product development quality Lead 8D investigations for quality issues and work to deploy systemic corrective actions Create customer facing 8D reports Assist Sales team on customer quality matters Support customer PPAP and documentation requests Requirements BSEE degree Minimum of 8 years of experience in engineering role (Quality Engineering, Product Engineering, Test Engineering, Applications Engineering) supporting or developing automotive products or processes. Experience with AEC‑Q100 product qualifications Direct Experience managing 8D investigations and creating 8D reports Enjoys working in cross‑functional team environment Enjoys problem solving Preferred Faiure Analysis lab experience APQP, FMEA, Control Plans experience IATF auditor certification or experience VDA auditor certification or experience Project management experience Direct customer support / facing experience Please send us your updated Resume at ****************************** for Review. #J-18808-Ljbffr

Ironclad is the leading AI contracting platform that transforms agreements into assets. Contracts move faster, insights surface instantly, and agents push work forward, all with you in control. Whether you're buying or selling, Ironclad unifies the entire process on one intelligent platform, providing leaders with the visibility they need to stay one step ahead. That's why the world's most transformative organizations, from OpenAI to the World Health Organization and the Associated Press, trust Ironclad to accelerate their business. We're consistently recognized as a leader in the industry: a Leader in the Forrester Wave and Gartner Magic Quadrant for Contract Lifecycle Management, a Fortune Great Place to Work, and one of Fast Company's Most Innovative Workplaces. Ironclad has also been named to Forbes' AI 50 and Business Insider's list of Companies to Bet Your Career On. We're backed by leading investors including Accel, Y Combinator, Sequoia, BOND, and Franklin Templeton. For more information, visit ******************* or follow us on LinkedIn. The Business Value Engineer role is intended to own, define, and execute Ironclad's value-selling methodology across the customer lifecycle. This role is critical in bringing financial rigor and strategic storytelling to the sales process, ensuring our prospects and customers clearly understand the projected and realized impact of Ironclad's technology. You will be responsible for the end-to-end value lifecycle-from initial discovery and financial modeling to executive-level presentations and post‑sale value realization. This role is cross‑functional, partnering with Sales, Customer Success, Product, and Marketing to ensure our value strategy drives revenue growth, deal velocity, and long‑term customer success. What you'll do: Deal‑Level Execution: Own the value strategy for complex deals by leading discovery‑based sales processes to identify customer pain points and business objectives. Develop custom financial models (TCO, ROI) and defend them against CFO and procurement scrutiny. Process Analysis & Standardization: Map as‑is workflows to identify inefficiencies and quantify metrics. Standardize advanced modeling methodologies (scenario‑based, risk‑adjusted) and build repeatable process frameworks for specific industries or functions. Strategic Programs: Lead multi‑threaded value programs that extend beyond individual deals. Create prioritization frameworks for the team to focus the organization on the highest‑impact paths. Sales Partnership & Influence: Provide informal coaching and share best practices across the team to raise the collective bar. Partner seamlessly with GTM and Sales Engineers (SEs) on deal strategy and sponsorship creation. Who are you? Experience: 6+ years of experience in value engineering, management consulting, or software sales, with a track record of driving complex deal strategy. Financial Expertise: Deep experience in financial modeling, specifically developing custom business cases that detail the value of complex software solutions. Resilient & Adaptive: Proven ability to stay effective under ambiguity and adjust value narratives quickly based on customer feedback and shifting deal dynamics. Agile Problem Solver: Ability to guide teams on when to pivot approaches and teach others how to unblock value engagements with methodology when resources are limited. Strategic Storyteller: Demonstrated ability to identify patterns from CXO conversations to innovate and pilot new solutions that establish the team as a trusted advisor. Collaborative Leader: Extensive experience collaborating with cross‑functional teams, including Sales, Sales Engineering, and gTech, to drive persuasive customer adoption. Technical Rigor: Proficiency in mapping as‑is workflows to identify inefficiencies and quantify metrics for "above-the-line" executive audiences. OTE Range: $188,000.00 - $235,000.00 The OTE range represents the minimum and maximum of the OTE range for this position based at our San Francisco headquarters. The OTE offered for this position will depend on numerous factors, including individual proficiency, anticipated performance, and the location of the selected candidate. Our OTE is just one component of Ironclad's competitive total rewards package, which also includes equity awards (a new hire grant, along with opportunities for additional awards throughout your tenure), competitive health and wellness benefits, and a commitment to career growth and development. US Employee Benefits at Ironclad: 100% health coverage for employees (medical, dental, and vision), and 75% coverage for dependents with buy‑up plan options available Market‑leading leave policies, including gender‑neutral parental leave and compassionate leave Family forming support through Maven for you and your partner Paid time off - take the time you need, when you need it Monthly stipends for wellbeing, hybrid work, and (if applicable) cell phone use Mental health support through Modern Health, including therapy, coaching, and digital tools Pre‑tax commuter benefits (US Employees) 401(k) plan with Fidelity with employer match (US Employees) Regular team events to connect, recharge, and have fun And most importantly: the opportunity to help build the company you want to work at UK Employee-specific benefits are included on our UK job postings Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. #J-18808-Ljbffr

DevOps / Production Engineer | AI-Powered Logistics Platform Salary: $170K-$210K + Competitive Equity Based in San Francisco, we are a rapidly growing AI startup that's transforming one of the most outdated yet essential sectors in logistics. We're building intelligent systems that make operations faster, smarter, and more efficient! Backed by some of Silicon Valley's top early-stage investors, and with explosive growth and a clear path ahead, this is a rare opportunity to have meaningful ownership at an early inflection point in our organization. About the Role We're looking for a Production Engineer who enjoys living at the intersection of software development, infrastructure, and reliability. This role is ideal for someone who takes pride in keeping systems running smoothly, shipping safely, and enabling product teams to move fast without breaking things. You'll own critical production systems, design resilient infrastructure, and build the tooling that makes deploying software reliable, repeatable, and boring (in the best way). What's in it for you: Ownership from Day One: Build the foundation of core systems and product architecture. Elite Team: Work alongside engineers and founders from Google, LinkedIn, and leading AI research labs. Momentum: 100%+ month-over-month revenue growth and growing customer demand. Backed by Top Investors: Supported by First Round Capital, Pear VC, and other top-tier firms. Fast Hiring Process: End-to-end hiring process typically completed within two weeks. What You'll Own End-to-end responsibility for the availability and reliability of production services. Design and implement fault-tolerant, self-healing systems Architect and scale CI/CD pipelines to support frequent, safe, and reversible deployments Improve the developer experience, making best practices the default Support AI-related infrastructure, data workflows, and human-in-the-loop systems Manage databases, including performance optimization, backups, and compliance Lead incident response efforts and post-incident reviews, turning failures into long-term fixes Build observability systems using monitoring, logging, and alerting tools What You'll Bring 1 - 6 years in Production Engineering, DevOps, or SRE Direct ownership of uptime and reliability for live production systems Experience operating in startup or fast-moving environments Demonstrated ability to scale CI/CD systems in real-world production settings Strong backend engineering experience, especially in Python Deep familiarity with Google Cloud Platform (GCP) Infrastructure-as-code experience (e.g., Terraform, CloudFormation) Experience managing relational databases in production Comfort working across CI/CD, cloud infra, and application code If you're ready to join an exciting start-up poised for lots of growth in the near-future, apply today! This role is not eligible for visa sponsorship at this time #J-18808-Ljbffr

Scoutbee's market-leading supplier data platform empowers procurement professionals to enhance their master data, make better sourcing decisions, and find and onboard new suppliers from all over the world. Powered by AI and ML, Scoutbee enables faster end-to-end strategic sourcing projects with up to 90% less effort than traditional methods. If you'd like to find out more about what we do, and see what daily life at Scoutbee looks like, please feel free to visit our website or follow us on LinkedIn, Twitter, Facebook, and YouTube. At Scoutbee, we're building the world's most intelligent supplier discovery and qualification platform, powered by AI and backed by a rapidly growing network of global buyers and suppliers. We're growing fast and hiring a Head of Supplier Experience to drive activity and engagement across our buyer-supplier marketplace. In this role, you'll ensure buyers are actively using the platform to find suppliers and publish sourcing events, while keeping suppliers engaged and aligned with demand. The result: real value for suppliers, better outcomes for buyers, and a marketplace that grows sustainably over the long term. This is a highly strategic and cross-functional role. You'll work across product, growth, supplier experience, and customer success - connecting the dots to unlock marketplace potential. You'll engage with senior leaders, shape segment-specific strategies, and lead programs from concept to execution. Your role in our beehive: End-to-End Supplier Experience Leadership: Define and lead the supplier experience function across onboarding, activation, and long-term value realization. Operational Support Management: Oversee global supplier support workflows, set and manage SLAs, and partner with engineering and support teams to resolve issues quickly. Onboarding & Lifecycle Enablement: Design clear, scalable journeys that help suppliers onboard successfully and unlock value throughout their lifecycle. Account Health & Risk Reduction: Build tools and playbooks to proactively monitor supplier engagement, mitigate risks, and reduce churn through timely interventions. Voice of the Supplier: Analyze support tickets, feedback trends, and platform usage to advocate for supplier needs and drive continuous improvement. What you bring to our beehive: 8+ years in supplier success, customer experience, or post-sales operations Experience building and scaling teams across both reactive and proactive supplier workstreams Proven track record of driving retention through onboarding and lifecycle programs Strong grasp of tooling, automation, and key metrics (SLA, CSAT, time-to-value) Analytical mindset with comfort digging into dashboards and supplier usage data Clear communicator with the ability to influence cross-functional decisions Comfortable operating in a fast-paced, evolving environment with minimal structure Bonus: Experience in a Post-Merger Integration environment What success looks like: A trusted, high-performing supplier experience team that delivers both rapid issue resolution and long-term success guidance A clear, scalable onboarding and lifecycle framework with measurable impact on supplier retention and monetization Reduced time-to-value and lower churn through proactive engagement and health monitoring High supplier satisfaction and CSAT, supported by continuous operational and product feedback loops Strong cross-functional alignment with product, growth, and commercial teams to champion the supplier voice and drive improvements across the journey What's in it for you? Opportunity to help shape the world's biggest procurement network Work cross-functionally with top talent across GTM, product, and platform teams Competitive compensation and wellness budgets Remote-flexible, mission‑driven culture committed to better global procurement We'd love to hear from you! At Scoutbee, we value personality, curiosity, and cultural fit more than perfect qualifications. If you're unsure whether you tick every box, that's okay. Imposter syndrome and self-doubt are real, but they shouldn't hold you back. We believe not knowing everything can be a strength. It creates space for growth, learning, and fresh perspectives. We're here to support and learn from each other as we grow together. Scoutbee is an equal opportunities employer All qualified applicants will receive consideration for employment without regard to ethnic background, color, religion, gender, sexual orientation, national origin, age, disability status, protected veteran status, or any other characteristic protected by law. #J-18808-Ljbffr

A leading identity management firm is looking for a Senior Database Reliability Engineer (DBRE) in San Francisco, California. The ideal candidate will have over 4 years of experience specifically with PostgreSQL and will be responsible for designing and optimizing data persistence layers for mission-critical systems. Key responsibilities include leading database incidents, working cross-functionally with platform teams, developing automation for tasks, and ensuring high availability across database environments. This position is essential for operational excellence in a hybrid environment. #J-18808-Ljbffr

The Bay Area Air District (Air District) is a regional government agency committed to achieving clean air to protect public health and the environment. We regulate industrial facilities and administer outreach and incentive programs to encourage clean air choices across seven counties (Alameda, Contra Costa, Marin, San Francisco, San Mateo, Santa Clara, and Napa) plus portions of Solano and Sonoma. We strive for a diverse, inclusive workplace with pay equity, work-life balance, and opportunities for growth. We are accepting applications for the position of Principal Air Quality Engineer, for three full-time, represented positions: one in the Regulatory Development Division and two in the Engineering Division. The job description below outlines division-specific responsibilities and program focus, as well as qualifications and application details. Regulatory Development Division The Regulatory Development Division works with staff, management, executives, and Board members to develop and modify Air District rules to provide emissions reductions, improve air quality, and protect the climate. The Principal Air Quality Engineer for the Regulatory Development Division will: work closely with professional and technical staff to perform and lead complex program assignments for developing regulations to control air pollutants (including those contributing to climate change and local air quality impacts in overburdened communities) work with the California Air Resources Board, other local air districts, community groups, community members, environmental organizations, regulated industries, and other key stakeholders to reduce harmful air pollutants, especially in communities overburdened by air pollution lead, conduct, and coordinate scientific, economic, and technical research work review and draft regulatory language, develop and implement cost effectiveness and incremental cost effectiveness calculations for a wide variety of sources in an industry with various control options analyze emissions inventories to determine baseline emissions and reduction estimates for rules under development brief Air District executives and present at workshops and board meetings work closely with the Community Engagement Division staff and other Air District divisions to strengthen partnerships with key community stakeholders perform related work as assigned Engineering Division The Engineering Division evaluates permit applications and reviews permit renewals for equipment and operations that emit air pollutants within the Air District's jurisdiction. It provides technical support to other programs and assists businesses, trade associations, agencies, environmental groups, and community members with permitting and compliance issues. The division is responsible for implementing the Air District's Facility Risk Reduction Program to reduce health risks from existing facilities or sources. The position will work on the Air District's Toxic Air Contaminant (TAC) Control Programs, designed to identify, assess, and reduce public exposure to toxic air contaminants. The programs integrate federal, state, and local regulations to: Monitor and evaluate TAC emissions from permitted facilities through annual emissions inventories and health risk assessments Implement the Air Toxics New Source Review (NSR) program, requiring preconstruction review and risk assessment for new or modified TAC sources Operate Facility Risk Reduction Programs, targeting existing facilities to identify, assess, and reduce health risks, especially in communities with disproportionate air quality impacts Engage with community stakeholders and provide transparent access to emissions data and health risk information through annual reports and online tools These efforts have led to significant reductions in health risks from toxic air contaminants across the Bay Area. The Engineering Division also engages in programs and projects including, but not limited to: Dispersion modeling and health risk assessments for toxic emissions Verification of emissions inventories Database development and data management Development of new regulations or amendments of existing regulations Strategic planning of division programs The Principal Air Quality Engineer for the Engineering Division may perform other complex and highly specialized air quality engineering work, including: Processing permit applications for complex facilities Analyzing air emissions and other metadata Evaluating program effectiveness Providing project leadership This role also involves peer review, staff mentoring, and training. The incumbent may lead or contribute to sensitive, high-profile projects and deliver technical presentations to the Board of Directors, public, industry, and partner agencies, and may represent the Air District in multi-agency working groups. Definition Under direction, performs the most complex and highly specialized level of assigned air quality engineering activities and may supervise staff on a project basis or lead project teams; performs related work as assigned. Distinguishing Characteristics Under direction, performs the most complex and highly specialized level of assigned air quality engineering activities and may supervise staff on a project basis or lead project teams; performs related work as assigned. Education & Experience Equivalent to graduation from a four-year college or university with major coursework in environmental, chemical, mechanical or petroleum engineering or a closely related field, and four years of air quality environmental engineering experience. Alternatively, a Master's Degree with the same focus and four years of experience. Other Requirements Must possess a valid California driver's license and a valid California Professional Engineer license. How to Apply & Selection Criteria How to Apply Interested individuals must submit a completed Air District application and responses to the supplemental questionnaire by 5:00 p.m. on Monday, November 3, 2025. Resumes are encouraged but not mandatory and will not be accepted in lieu of the required application materials. Applications are accepted online; please visit our website at ******************* to apply. Postmarks, faxes, and e-mailed applications will not be accepted. Except as requested, do not include additional documents. They will not be considered. Supplemental Questions Instructions Applicants must respond to each required supplemental question. Limit responses to no more than one page (500 words) per question. Do not reference your resume or other documents. This information will be evaluated to determine the most directly related experience, education, and training. Selection Criteria Selection may be based on a competitive exam (written, interview, or both). Depending on applicant volume, an application screening and/or panel interview may be used. The Air District may hire from this process to fill future vacancies for 18 months. Persons with disabilities who may require accommodations should notify the Human Resources Office. The Air District is an Equal Opportunity Employer. #J-18808-Ljbffr

Atomic Semi is building a small, fast semiconductor fab. It's already possible to build this with today's technology and a few simplifications. We'll build the tools ourselves so we can quickly iterate and improve. We're building a small team of exceptional, hands-on engineers to make this happen. Mechanical, electrical, hardware, computer, and process. We'll own the stack from atoms to architecture. Our team is optimistic about the future and we want to continue pushing the limits of technology. Smaller is better. Faster is better. Building it ourselves is better. We believe our team and lab can build anything. We've set up 3D printers, a wide array of microscopes, e-beam writers, general fabrication equipment - and whatever is missing, we'll just invent along the way. Atomic was founded by Sam Zeloof and Jim Keller. Sam is best known for making chips in his garage, and Jim has been a leader in the semiconductor industry for the past 40 years. About the role As a Process Development Engineer at Atomic Semi, you'll bridge the critical interface between BEOL processing and advanced packaging, developing novel integration schemes for next-generation semiconductor devices. We're looking for someone with hands-on experience in interconnect metallization, dielectric processes, or chip-to-package connections, combined with an eagerness to push beyond conventional approaches. You'll need to digest complex technical literature while translating nanofabrication fundamentals into practical process solutions. This is a high-ownership role with lots of autonomy in a fast-moving startup environment. You'll have the opportunity to contribute to novel R&D processes and influence tool design. Candidates should have hands-on cleanroom experience and a track record of developing nanofabrication recipes from scratch, ideally across multiple process steps. Responsibilities Develop and optimize bond pad structures (e.g., UBM, RDL pads, and other interconnect schemes) for advanced packaging applications Characterize material interfaces using SEM, EDX, and electrical testing to ensure reliable chip-to-package connections Generate process specifications and transfer recipes from R&D to production Collaborate with packaging team to troubleshoot issues related to BEOL structures Analyze failure modes at the BEOL-package interface and implement corrective actions Required Experience PhD in Materials Science, Chemical Engineering, Electrical Engineering, or related field (or MS with 2+ years relevant experience) Hands-on experience with at least one BEOL process: interconnect metallization, dielectric deposition, UBM, or bond pad fabrication Understanding of chip attach processes and their interaction with BEOL structures Experience with material characterization techniques (SEM, cross-sectioning, electrical testing) Nice-to-have Experience with flip-chip, WLCSP, or advanced packaging technologies Working at Atomic Semi We're an early-stage hardware startup with solid funding, world-class advisors, and a lab/office in San Francisco, CA. Compensation: Atomic Semi is committed to fair and equitable compensation practices. The annual salary range for this role is $117,000 - $188,000. Compensation is determined based on your qualifications and experience. Our total compensation package also includes generous equity in Atomic Semi. Benefits: Atomic Semi offers the following benefits, subject to applicable eligibility requirements: Medical, Dental, and Vision insurance Generous Paid Time Off inclusive of Holidays and Sick Time Visa Sponsorship Life and Disability Insurance Paid Parental Leave 401(k) retirement plan Weekly Learning & Development opportunities Commuter Benefits including Parking and Late Night Uber rides from the office Lunches daily, Dinners 3x per week, Stocked Office Kitchen with Snacks and Spindrifts We are an equal-opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses. Export Control Analysis:This position involves access to technology that is subject to U.S. export controls. Any job offer made will be contingent upon the applicant's capacity to serve in compliance with U.S. export controls. #J-18808-Ljbffr

About Periodic Labs We are an AI + physical sciences lab building state of the art models to make novel scientific discoveries. We are well funded and growing rapidly. Team members are owners who identify and solve problems without boundaries or bureaucracy. We eagerly learn new tools and new science to push forward our mission. About the Role Join a world-class team of scientists and engineers pushing the boundaries of materials research in a groundbreaking lab where AI and automation unlock discoveries at unprecedented speed and scale. The Periodic Labs team is developing AI that can both simulate science as well as verify its predictions to train on the full scientific method. As part of this mission, the team is building a high throughput experimental materials science lab. For this facility, we are seeking a hands‑on Reliability Engineer to drive uptime and throughput across our experimental platforms. You'll lead maintenance operations, plan and manage the associated machine shop buildout, and design and integrate custom labware and fixtures to improve experimental efficiency and repeatability. Responsibilities Establish preventive and predictive maintenance programs for lab and automation systems and associated CMMS. Lead root cause analysis and develop corrective actions for system failures or bottlenecks. Build and manage a machine shop for fabricating custom components. Design, prototype, and test custom labware tailored to automated experimental workflows. Collaborate with automation, controls, and scientific teams to integrate fixtures into processes. Track and improve equipment uptime, MTBF, and OEE. Build and train a world‑class maintenance team of technicians to support the above systems Qualifications Bachelor's or Master's degree in an engineering field. 5+ years experience in reliability, mechanical, or systems engineering, especially related to supporting materials science/solid‑state chemistry and/or thin‑film processing research equipment Familiarity with precision machining, mechatronics, or custom part design. Experience with CAD (SolidWorks/Fusion), shop tooling, and rapid prototyping. Strong knowledge of preventive maintenance systems. Comfortable collaborating across engineering, automation, and scientific teams. Certification and preferably contribution to accredited standards or bodies relevant to your field - e.g. SMRP, IEEE Reliability Society, relevant ASTMs. Bonus Qualifications We'd love to hear about your accomplishments in globally recognized competitions relevant to your field (e.g. NASA Lunabotics, ASME's competitions, etc.) #J-18808-Ljbffr

FLUIX is building the AI operating system that plans, designs, and optimizes AI infrastructure. We are based in Silicon Valley. We specialize in providing AI-driven solutions for data centers and power providers, leveraging cutting-edge Machine Learning (ML) and Artificial Intelligence (AI) technologies. Our mission is to double America's compute capacity without building new data centers. We are seeking a skilled Site Reliability Engineer to join our growing team. The ideal candidate will help ensure the reliability, scalability, and performance of our hybrid-based (Cloud & On-Prem) platform while supporting our AI/ML infrastructure. You will work closely with our engineering, AI, and operations teams to build and maintain robust systems that support our cutting-edge solutions. Your expertise in ML/AI and experience with data center sites will be crucial in driving the success of our platform. Who you'll work closely with Founder & CEO Chase Overcash CTO What you'll do Design, implement, and maintain scalable systems while optimizing performance, ensuring high availability and disaster recovery, and assisting with codebase refactoring for modular deployment. Develop and maintain automation tools to streamline operations, improve efficiency, and automate repetitive tasks to enhance system reliability. Collaborate with engineering and data science teams to integrate ML and AI models into production environments, while ensuring seamless integration and high performance of cutting-edge models within our technology stack. Identify areas for improvement and drive initiatives to enhance system reliability and performance, while staying updated on industry trends and advancements in SRE practices, ML, and AI technologies. Respond to and resolve incidents to minimize impact and ensure timely resolution, while conducting post-incident reviews and implementing improvements to prevent recurrence. Create and manage multiple cloud instances (dev, staging, test), optimize cloud infrastructure and data center operations, and ensure the security and compliance of both infrastructure and applications. Your background Bachelorʼs degree in Computer Science, Engineering, or a related field (or equivalent experience). Proven experience as a Site Reliability Engineer or similar role in a SaaS environment, with a strong background in managing and optimizing cloud infrastructure (AWS preferred, or GCP, Azure), experience with ML and AI technologies, and familiarity with data center operations integrations. Proficiency in programming and scripting languages (e.g., Python), experience with containerization and orchestration tools (Kubernetes), a strong understanding of networking, security, and performance optimization, and knowledge of CI/CD pipelines and DevOps practices. Excellent problem-solving skills with attention to detail, strong communication and collaboration abilities, and the capacity to thrive in a fast-paced, dynamic startup environment. Culture Fit We are looking for obsessed individuals who want to give it their all. We are not afraid to get our hands dirty with physical and software systems. We are eager to visit and work with clients and understand the importance and gravitas of their mission-critical work. We are eager to come into the office and on-site, as our work directly affects physical environments. Due to our mission-critical work, we understand and our eager to help our teammates and co-workers during holidays, weekends, and emergencies. We are cordial and over-communicate with teammates, co-workers, and management. Attractive compensation package, including equity options. Comprehensive health, dental, and vision insurance, along with other standard benefits. A dynamic and collaborative San Francisco Bay Area work environment. Opportunities for professional growth and development, with the chance to shape the future of technology in the industry. #J-18808-Ljbffr

A technology firm in San Francisco is seeking a Site Reliability Engineer (SRE) to ensure reliability and performance of their platform. The role involves designing infrastructure, monitoring systems, and mentoring peers. Ideal candidates have experience in SRE or DevOps, strong programming skills (Python or Go), and knowledge of containerization and infrastructure-as-code tools. This position offers a competitive salary, equity, and comprehensive health benefits while working on-site 4 days a week with remote flexibility. #J-18808-Ljbffr

Ammobia is on a mission to revolutionize the ammonia industry. We are a seed‑stage startup developing Haber Bosch 2.0 - a next‑generation ammonia synthesis process enabling cost‑effective, clean ammonia production. Our proprietary swing reactor system runs at 10x lower pressures and 4x higher conversions than the state of the art, enabling economical production at any plant scale or energy source. Clean ammonia will support ammonia's growing role in our decarbonized world, tackling some of the most difficult to abate sectors including chemicals, fertilizers, and heavy‑duty transportation. We are supported and recognized by leading climate tech organizations including Starlight Ventures, the US Department of Energy, Collaborative Fund, Third Derivative, Forbes 30u30, and more. Job Description Ammobia is seeking a motivated and creative Chemical Engineer to develop, test, and demonstrate our ammonia production process at the pilot scale. You will conduct and/or manage test operations, analysis, and system maintenance as a core member of our pilot plant team. You're experienced getting your hands dirty with high pressure and temperature equipment, working alongside scientists, engineers, and technicians. You're a chemical engineer oriented towards hands‑on scaleup, equipment, and process development, and you come from an industrial chemical/energy background. You enjoy fast‑paced, creative, and collaborative work and you thrive with high levels of autonomy and ownership. There is significant opportunity to grow your role alongside the company. Responsibilities may include: Responsibilities Perform test engineering for pilot reactor and process skids Develop and plan experiments, write test plans, and manage test operations, etc. Troubleshoot, maintain, shakedown, and serve as SME for plant equipment including compressors, pumps, heat exchangers, flow and pressure meters, etc. Produce and analyze test data to quantify performance in a range of process conditions and durability tests Write comprehensive test documentation suitable for external sharing, investor and customer development Interface with plant process design and R&D teams Integrate pilot plant learnings into plant design at increasing scales Interface with external engineering and EPC groups to design and execute subsequent commercial scale designs Qualifications Successful applicants will have most of the following qualifications. 3+ years' experience in a relevant industrial setting Hands‑on experience designing and operating pilot scale chemical processing equipment, especially high temperature and pressure fluid systems Demonstrated expertise in chemical process development and test engineering, especially high temperature and pressure fluid systems Deep functional knowledge of chemical processing equipment, including compressors, heat exchangers, flow and pressure controllers, pressure vessels Working knowledge and deep experience working with chemical plant controls systems Sophisticated data analysis skills, especially for time‑series data from dynamic processes, e.g. with Python, MATLAB, or similar Intuitive understanding of thermodynamics, kinetics, heat and mass transport Excellent written and verbal communication skills Self‑motivated, proactive, and able to work both independently and collaboratively Hands‑on experience in a startup or similar environment Nice‑to‑have Demonstrated experience in reaction engineering, heterogeneous catalysis, gas sorption Experience in gas separations, PSA, TSA, membrane, distillation, or similar Experience in ammonia synthesis, cracking, or separations Degree(s) in Chemical Engineering or Mechanical Engineering $105,000 - $185,000 a year Benefits Competitive equity grants 100% of premiums paid for healthcare, dental, vision, life insurance 401k Gym benefit Regular team social events Paid time off, including closure between Christmas and New Years Who we are We are a small and passionate team of scientists and engineers. We value teamwork, accountability, open communication, and rapid iteration. We emphasize career growth, mutual feedback, and a fun and exciting working environment. Check out ammobia.co/careers for our full values statement and ammobia.co/team to learn more about us. The position is full‑time and in‑person in San Francisco, CA. Compensation and job title will be commensurate with experience. #J-18808-Ljbffr

About the Team OpenAI's Hardware organization develops silicon and system-level solutions designed for the unique demands of advanced AI workloads. The team is responsible for building the next generation of AI-native silicon while working closely with software and research partners to co-design hardware tightly integrated with AI models. In addition to delivering production-grade silicon for OpenAI's supercomputing infrastructure, the team also creates custom design tools and methodologies that accelerate innovation and enable hardware optimized specifically for AI. About the Role We are seeking a highly skilled cross-stack engineer with deep expertise in making ML systems reliable at scale. This hands-on individual contributor will sit within our hardware team and work closely with chip design, platform design, hardware health, and the broader industry ecosystem to architect, implement, and deploy reliable next-generation AI accelerator systems. This engineer will evaluate system and chip architecture holistically, identify high-ROI opportunities to improve reliability and availability across the stack, and translate those opportunities into strategy and silicon features. In this role, you will Oversee DFX architecture, implementation, and execution in silicon from concept to high-volume deployment, and propose high-ROI features to enhance reliability and fault tolerance. DFX includes design for testability, reliability, availability, and serviceability of high-performance AI hardware. Build system-level reliability models grounded in empirical data to guide organization-wide DFX and reliability strategy. This requires a detailed understanding of chip and system architecture, design, implementation, and component-level reliability. Collaborate with chip and platform architecture/design teams to explore and implement DFX features, including the specification and implementation of digital/mixed-signal IP, firmware/system software, and DFX methodology (in partnership with engineering teams). Partner with hardware health and platform design teams to continuously improve reliability and fault tolerance in NPI and HVM. This includes optimizing operating conditions, designing experiments, and performing data analysis to drive continuous, data-driven improvements across the stack. Serve as the DFX/reliability champion and evangelist to align the broader industry ecosystem with OpenAI's requirements and roadmap. Qualifications BS with 15+ years, MS with 10+ years, or PhD with 3+ years of relevant industry experience focused on reliability across the chip/platform stack. Hands-on experience with RTL design and DFT is required; physical implementation and/or silicon ATE experience is preferred. Detailed understanding of ML chip and platform architecture and ML workload characteristics is required. Strong fundamentals in reliability modeling, with hands-on skills in empirical data analysis. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology. #J-18808-Ljbffr

A forward-thinking technology firm in Palo Alto seeks a Site Reliability Engineer to ensure the reliability and performance of their HPC infrastructure powering AI research. The role demands collaboration with cross-functional teams and responsibilities include designing scalable systems and troubleshooting complex issues. Ideal candidates should have 3+ years in SRE, DevOps, or systems engineering, and a strong background in Linux, scripting, and cloud technologies. The position offers a competitive salary range of $180,000 - $440,000 USD along with comprehensive benefits. #J-18808-Ljbffr

Crusoe's mission is to accelerate the abundance of energy and intelligence. We're crafting the engine that powers a world where people can create ambitiously with AI - without sacrificing scale, speed, or sustainability. Be a part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that's setting the pace for responsible, transformative cloud infrastructure. About This Role: At Crusoe, we are building the most sustainable, AI-first cloud infrastructure, and our Compute-focused Site Reliability Engineers are the backbone of that mission. This role is centered on supporting virtualization, hypervisor, and kernel-level performance for Crusoe's compute infrastructure. You'll play a vital role in deploying and optimizing bare-metal and virtualized compute platforms, ensuring performance, security, and scale for modern AI and HPC workloads. What You'll Be Working On: In this role, you will develop automation and observability tools to monitor Crusoe's compute infrastructure, spanning from the kernel to orchestration layers. You will support and scale the company's virtualization stack, including technologies such as KVM, QEMU, and other hypervisors. Collaborating with Linux kernel and hardware teams, you'll help identify and resolve performance bottlenecks, driver issues, and optimize hardware offloads. A key focus will be on optimizing performance for AI and HPC workloads across CPU, GPU, and DPU/NIC resources. You will participate in root cause analysis for kernel crashes, hardware-software integration problems, and performance regressions, while also integrating hypervisor-level enhancements to improve guest VM reliability and workload isolation. The role involves tuning kernel subsystems such as the process scheduler, NUMA configuration, memory management, and interrupt handling. Additionally, you will work closely with platform teams to implement and validate support for emerging compute hardware, including SmartNICs, BlueField devices, and TPUs What You'll Bring to the Team: 5+ years of professional experience in Compute SRE, Linux system engineering, or compute infrastructure roles. Strong proficiency in Linux kernel internals, with exposure to scheduler, memory allocation, and driver subsystems. Experience with virtualization architectures and technologies such as KVM, Xen, QEMU, or VMware. Familiarity with SmartNICs/DPUs (e.g., NVIDIA CX6/7, BlueField-3) and kernel bypass techniques. Expert-level skills in at least one programming language: Go, C or Rust. Experience with system-level debugging, including kdump, kexec, and kernel panic analysis. Proficiency in Infrastructure as Code tooling and CI/CD practices for bare-metal or cloud infrastructure. Strong understanding of compute scheduling, resource management, and high-throughput networking. Benefits: Industry competitive pay Restricted Stock Units in a fast growing, well-funded technology company Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents Employer contributions to HSA accounts Paid Parental Leave Paid life insurance, short-term and long-term disability Teladoc 401(k) with a 100% match up to 4% of salary Generous paid time off and holiday schedule Cell phone reimbursement Tuition reimbursement Subscription to the Calm app MetLife Legal Company paid commuter benefit; $300 per pay period Compensation Range: Compensation will be paid in the range of $166,000 - $201,000 a year + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. #J-18808-Ljbffr

A leading tech company in San Francisco is looking for a Business Value Engineer to drive the value-selling methodology across the customer lifecycle. This role involves managing complex deals and enhancing customer understanding of the value of the company's technology. The ideal candidate will have over 6 years of experience in value engineering or software sales, a deep financial knowledge, and a collaborative spirit. This position offers competitive OTE and extensive benefits as part of a supportive work environment. #J-18808-Ljbffr

An innovative startup based in Mountain View, CA is looking for a Machine Learning Engineer to focus on ML research and software engineering. The role involves training large language models, analyzing experiment results, and contributing to the development of AI infrastructure. Ideal candidates will have strong software engineering skills and a deep curiosity about AI technologies. The company values in-person collaboration in a dynamic startup environment. #J-18808-Ljbffr

A technology firm in San Francisco is seeking a Perception AI Engineer to transform sensor data into actionable insights. The successful candidate will implement deep-learning models, build data-collection platforms, and design user interfaces. Must have 5+ years of experience with computer vision and strong skills in C++/Rust. This role supports empowering businesses with real-time insights and operational efficiency enhancements. #J-18808-Ljbffr

The Bay Area Air District (Air District) is a regional government agency committed to achieving clean air to protect public health and the environment. We regulate industrial facilities and administer outreach and incentive programs to encourage clean air choices across seven counties (Alameda, Contra Costa, Marin, San Francisco, San Mateo, Santa Clara, and Napa) plus portions of Solano and Sonoma. We strive for a diverse, inclusive workplace with pay equity, work-life balance, and opportunities for growth. We are accepting applications for the position of Principal Air Quality Engineer, for three full-time, represented positions: one in the Regulatory Development Division and two in the Engineering Division. The job description below outlines division-specific responsibilities and program focus, as well as qualifications and application details. Regulatory Development Division The Regulatory Development Division works with staff, management, executives, and Board members to develop and modify Air District rules to provide emissions reductions, improve air quality, and protect the climate. The Principal Air Quality Engineer for the Regulatory Development Division will: work closely with professional and technical staff to perform and lead complex program assignments for developing regulations to control air pollutants (including those contributing to climate change and local air quality impacts in overburdened communities) work with the California Air Resources Board, other local air districts, community groups, community members, environmental organizations, regulated industries, and other key stakeholders to reduce harmful air pollutants, especially in communities overburdened by air pollution lead, conduct, and coordinate scientific, economic, and technical research work review and draft regulatory language, develop and implement cost effectiveness and incremental cost effectiveness calculations for a wide variety of sources in an industry with various control options analyze emissions inventories to determine baseline emissions and reduction estimates for rules under development brief Air District executives and present at workshops and board meetings work closely with the Community Engagement Division staff and other Air District divisions to strengthen partnerships with key community stakeholders perform related work as assigned Engineering Division The Engineering Division evaluates permit applications and reviews permit renewals for equipment and operations that emit air pollutants within the Air District's jurisdiction. It provides technical support to other programs and assists businesses, trade associations, agencies, environmental groups, and community members with permitting and compliance issues. The division is responsible for implementing the Air District's Facility Risk Reduction Program to reduce health risks from existing facilities or sources. The position will work on the Air District's Toxic Air Contaminant (TAC) Control Programs, designed to identify, assess, and reduce public exposure to toxic air contaminants. The programs integrate federal, state, and local regulations to: Monitor and evaluate TAC emissions from permitted facilities through annual emissions inventories and health risk assessments Implement the Air Toxics New Source Review (NSR) program, requiring preconstruction review and risk assessment for new or modified TAC sources Operate Facility Risk Reduction Programs, targeting existing facilities to identify, assess, and reduce health risks, especially in communities with disproportionate air quality impacts Engage with community stakeholders and provide transparent access to emissions data and health risk information through annual reports and online tools These efforts have led to significant reductions in health risks from toxic air contaminants across the Bay Area. The Engineering Division also engages in programs and projects including, but not limited to: Dispersion modeling and health risk assessments for toxic emissions Verification of emissions inventories Database development and data management Development of new regulations or amendments of existing regulations Strategic planning of division programs The Principal Air Quality Engineer for the Engineering Division may perform other complex and highly specialized air quality engineering work, including: Processing permit applications for complex facilities Analyzing air emissions and other metadata Evaluating program effectiveness Providing project leadership This role also involves peer review, staff mentoring, and training. The incumbent may lead or contribute to sensitive, high-profile projects and deliver technical presentations to the Board of Directors, public, industry, and partner agencies, and may represent the Air District in multi-agency working groups. Definition Under direction, performs the most complex and highly specialized level of assigned air quality engineering activities and may supervise staff on a project basis or lead project teams; performs related work as assigned. Distinguishing Characteristics Under direction, performs the most complex and highly specialized level of assigned air quality engineering activities and may supervise staff on a project basis or lead project teams; performs related work as assigned. Education & Experience Equivalent to graduation from a four-year college or university with major coursework in environmental, chemical, mechanical or petroleum engineering or a closely related field, and four years of air quality environmental engineering experience. Alternatively, a Master's Degree with the same focus and four years of experience. Other Requirements Must possess a valid California driver's license and a valid California Professional Engineer license. How to Apply & Selection Criteria How to Apply Interested individuals must submit a completed Air District application and responses to the supplemental questionnaire by 5:00 p.m. on Monday, November 3, 2025. Resumes are encouraged but not mandatory and will not be accepted in lieu of the required application materials. Applications are accepted online; please visit our website at ******************* to apply. Postmarks, faxes, and e-mailed applications will not be accepted. Except as requested, do not include additional documents. They will not be considered. Supplemental Questions Instructions Applicants must respond to each required supplemental question. Limit responses to no more than one page (500 words) per question. Do not reference your resume or other documents. This information will be evaluated to determine the most directly related experience, education, and training. Selection Criteria Selection may be based on a competitive exam (written, interview, or both). Depending on applicant volume, an application screening and/or panel interview may be used. The Air District may hire from this process to fill future vacancies for 18 months. Persons with disabilities who may require accommodations should notify the Human Resources Office. The Air District is an Equal Opportunity Employer. #J-18808-Ljbffr