Quality engineer jobs in Palo Alto, CA - 3,654 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

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

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

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

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 Energy Systems, our Site Reliability Engineering (SRE) team plays a mission-critical role in maintaining the performance and reliability of our AI-optimized cloud infrastructure. The Storage-focused SRE role is responsible for ensuring the availability, performance, and scalability of Crusoe's cloud storage products and services, which power compute-intensive, latency-sensitive workloads for AI and HPC use cases. This role directly supports our vertically integrated, sustainable cloud platform by building and optimizing distributed, fault-tolerant storage systems at scale. What You'll Be Working On: In this role, you will build automation and self-healing tools to monitor and maintain Crusoe's distributed cloud storage infrastructure, which includes block, file, and object storage systems. You will drive reliability initiatives focused on data replication, encryption, backup and restore strategies, and robust failover mechanisms. Collaborating closely with storage engineers, you will help implement and maintain high-performance NVMe- and SSD-backed volumes that support large-scale AI compute clusters. Your responsibilities will also include supporting user-facing storage services with a focus on availability, performance tuning, and adherence to error budgets. You'll investigate and resolve storage-related incidents using deep telemetry, logs, and performance profiling, while also partnering with hardware and kernel teams to diagnose low-level I/O issues and optimize I/O paths, cache policies, and file systems. Additionally, you will contribute to the architecture of fault-tolerant, scalable storage backends tailored for AI-first cloud environments. What You'll Bring to the Team: 5+ years of professional experience in SRE, systems, or storage engineering. Hands-on experience with distributed storage systems (e.g., Ceph, GlusterFS, OpenEBS) and deep understanding of object, block, and file storage paradigms. Proficiency in a programming language such as Python, Go, Java, or C. Experience with Infrastructure as Code and deployment tooling such as Terraform, Ansible, or Puppet. Deep knowledge of Linux internals with a focus on I/O subsystems, memory management, and storage scheduling. Familiarity with storage protocols like NFS, SMB, iSCSI, or NVMe-oF. Strong experience working with containerized workloads and orchestration platforms (e.g., Kubernetes, Docker). Excellent incident response, troubleshooting, and documentation practices. Experience with building and operating managed services at scale such as object, file and block storage (AWS, GCP, Azure) Excellent communication skills Must be able to pass a background check Embody the Company values Bonus Points: Contributions to open-source storage projects or the Linux storage stack. Experience with hybrid storage models across on-prem and cloud environments. Familiarity with high-throughput network topologies for storage backplanes (e.g., RoCE, RDMA, InfiniBand).. 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 month Compensation: 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

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

A leading technology innovation organization is seeking a Machine Learning Engineer to build cognitive engines for optimizing industrial systems. The ideal candidate will pioneer dynamic knowledge graphs, develop advanced reasoning architectures, and construct resilient data pipelines. This role requires a Bachelor's degree, 3+ years of experience in machine learning, and expertise with LLMs and VLMs. The position offers competitive salary and benefits in Mountain View, CA. #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

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

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

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

A technology company is seeking a Platform Validation Engineer to ensure the reliability and performance of their GPU servers. This role involves developing test plans, debugging hardware and software interactions, and automating validation workflows. Candidates should have a Bachelor's or Master's degree in EE or CS with over 5 years of experience in GPU server platform validation. The position offers a hybrid work model at the Santa Clara headquarters. #J-18808-Ljbffr

A leading software company is seeking experienced Software Engineers to join the new Site Reliability Engineering team. This role focuses on building reliable, scalable systems and leading projects across infrastructure. Candidates should have strong software engineering skills and a passion for reliability. The position offers a hybrid work model and generous compensation packages with additional benefits. #J-18808-Ljbffr

Employment Type Full time Department Hardware About Base Base is building the foundation of American power. The grid is the largest, most complex machine in the world. Yet it's aging, struggling to keep up with today's demand, and is unprepared for our electrified future. Base is modernizing the grid as the first engineering-led, technology-driven power company. We're deploying a nationwide network of distributed batteries that strengthens critical infrastructure and saves Americans money. Our team of engineers, operators, creatives, technicians, and electricians design and deploy systems at speed. If you want to tackle the problem that will define this century and shape the future of American energy, now is the time. Join us. About the Role We are looking for a Supplier Industrialization Engineer to join our team. This role focuses on ensuring that suppliers' manufacturing processes are optimized for the production of high-quality, cost-effective products. You will work closely with suppliers and internal teams to drive product and process improvements, manage supply chain issues, and ensure successful integration of new products into mass production. What You'll Do Supplier Process Development: Work directly with suppliers to assess, design, and optimize manufacturing processes to meet production requirements and quality standards. Ensure suppliers are capable of scaling production without compromising quality. Supplier Qualification: Lead the supplier qualification process, including auditing manufacturing facilities, production processes, and quality standards, specifications, and timelines. Work with suppliers on PPAP documentation. Conduct PFMEA with suppliers Root Cause Analysis: Identify issues and implement corrective actions locally with suppliers Change Management: Manage engineering changes related to suppliers, including changes to materials, components, and manufacturing processes. Ensure all changes are integrated into the supply chain and meet quality standards. What You'll Bring Bachelor's Degree in Mechanical Engineering, Manufacturing Engineering, Physics, or a related field. 3+ years of experience in supplier industrialization, supplier quality, or manufacturing engineering, preferably in the consumer electronics, automotive, or industrial sectors. Knowledge of manufacturing processes, including injection molding, CNC machining, PCB/PCBA, stamping, and assembly techniques. Experience with quality management systems (e.g., ISO 9001) and an understanding of industry standards for product quality and compliance. Project Management - the ability to manage multiple initiatives simultaneously and meet deadlines. Communication and Documentation - the ability to effectively work with cross-functional teams and suppliers to drive improvements and resolve issues. Our Values We're building a winning culture and we're looking for people who are up for the challenge. Here's what we expect from day one: In‑Person Only: We work full‑time in the office. No hybrid. No remote. Challenge the Status Quo: Question assumptions. Fix broken systems. Principles > rules. Move Fast: Focus on what matters, act quickly, and learn by doing. Give & Get Feedback: Be direct, be humble. Challenge ideas-including your own. Own the Outcome: Take full responsibility. Deliver results. No excuses. Act Like an Owner: Be resourceful, mindful of impact, and committed to the business. Be Decisive: Drive clarity. Make bold calls with imperfect info. Bring the Intensity: This is not a 9‑to‑5. We're building something hard which requires real commitment. #J-18808-Ljbffr

Eridu AI is a Silicon Valley-based hardware startup pioneering infrastructure solutions that accelerate training and inference for large-scale AI models. Today's AI performance is frequently limited by system-level bottlenecks. Eridu AI delivers multiple industry-first innovations across semiconductors, software, and systems to unlock greater GPU utilization, reduce capital and power costs, and maximize data center efficiency. The company's solutions and value proposition have been validated by several leading hyperscalers. The company is led by a veteran team of Silicon Valley executives and engineers with decades of experience in state-of-the-art semiconductors, optics, software, and systems, including serial entrepreneur Drew Perkins, co-founder of Infinera (NASDAQ: INFN), Lightera (acq. by Ciena), Gainspeed (acq. by Nokia) and Mojo Vision (World's leading micro-LED company and developer of the first augmented reality contact lens). Position Overview We are hiring multiple positions from Sr. Engineer to Principal Engineer. We are looking for a highly experienced Post-Silicon ASIC Validation Engineerwith deep expertise in networking ASICs and chiplet-based architectures. You will lead bring-up, validation, and characterization of complex multi-die systems integrating high-speed interconnects such as UCIe, SerDes, PCIe, and Ethernet PHYs. This position offers the opportunity to work on next-generation networking SoCs and disaggregated chiplet platforms, collaborating across architecture, design, firmware, and system teams to ensure first-silicon success and robust product readiness. Responsibilities Drive post-silicon validationand bring-upof networking ASICs and chiplet-based SoCs. Own validation planning, coverage definition, and test execution across UCIe, SerDes, and networking subsystems. Develop automation and test infrastructurefor high-speed link and protocol validation (Python). Perform silicon bring-up, including power sequencing, link training, and PHY initialization. Execute link-level and system-level validationof UCIe interfaces, die-to-die interconnects, and high-bandwidth chiplet fabrics. Debug complex cross-domain issuesspanning RTL, firmware, analog PHY, and package-level interactions. Characterize signal integrity, latency, throughput, and thermal/power behavioracross PVT corners. Collaborate with board design and test engineeringteams on validation platforms, sockets, and characterization boards. Qualifications B.S. or M.S. in Electrical Engineering, Computer Engineering, or related field. Experience in post-silicon validation and bring-upof complex ASICs or SoCs. Hands-on experience with UCIe, PCIe and high-speed interconnect standards. Proficiency in Python for scripting, automation, and data analysis. Strong lab experience using oscilloscopes, BERTs, logic analyzers, and JTAG-based debuggers. Excellent communication skills and experience working in cross-functional silicon development teams. Preferred Qualifications Experience with chiplet-based systems, UCIe protocol stack validation, and multi-die integration challenges(power delivery, timing, thermal). Familiarity with emulation or FPGA prototyping platforms for pre-silicon validation. Exposure to hardware/software co-validationfor networking protocols or control-plane software. Strong knowledge of package-level interactionsand signal integrity analysisfor high-speed interfaces. Why Join Us? At Eridu AI, you'll have the opportunity to shape the future of AI infrastructure, working with a world-class team on groundbreaking technology that pushes the boundaries of AI performance. Your contributions will directly impact the next generation of AI networking solutions, transforming data center capabilities. The starting base salary for the selected candidate will be established based on their relevant skills, experience, qualifications, work location, market trends, and the compensation of employees in comparable roles. The pay range for this role is: 185,000 - 250,000 USD per year (San Francisco Bay Area) #J-18808-Ljbffr

Mentor Technical Group (MTG) provides a comprehensive portfolio of technical support and solutions for the FDA-regulated industry. As a world leader in life science engineering and technical solutions, MTG has the knowledge and experience to ensure compliance with pharmaceutical, biotechnology, and medical device safety and efficacy guidelines. With offices in Caguas, PR, Boston, MA & San Francisco, CA and we serve life sciences clients in six global markets: United States, Puerto Rico, Dominican Republic, Mexico, Germany, Canada, and South America. Responsibilities Engineering Experience in Medical Device Industry Problem Solving Knowledge (Yellow or Green Belt knowledge) Responsibilities may include the following and other duties may be assigned. Designs manufacturing processes, procedures and production layouts for assemblies, equipment installation, processing, machining and material handling. Designs arrangement of machines within plant facilities to ensure most efficient and productive layout. Designs sequence of operations and specifies procedures for the fabrication of tools and equipment and other functions that affect product performance. Adapts machine or equipment design to factory and production conditions. May incorporate inspection and test requirements into the production plan. Inspects performance of machinery, equipment, and tools to verify their efficiency, and investigates and initiates corrective action of problems and deficiencies to ensure product quality. Develops manufacturing processes that are applicable to statistical process control, and may develop those techniques. Provides guidance to engineering regarding design concepts and specification requirements to best utilize equipment and manufacturing techniques. Ensures processes and procedures are in compliance with regulations. Qualifications Requirements/Knowledge/Education/Skills BBA in Engineering Knowledge in CSV Problem Solving Knowledge (Yellow or Green Belt knowledge) Mentor Technical Group is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, protected veteran status, disability status, or any other characteristic protected by law. #J-18808-Ljbffr