Quality engineer jobs in San Jose, CA - 3,440 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

A leading identity management company is seeking a skilled Senior Database Reliability Engineer (DBRE) to optimize and manage their PostgreSQL database environment. The role emphasizes designing resilient data infrastructure, automating key database processes, and collaborating with engineering teams. With a focus on high availability and performance optimization, the ideal candidate will possess extensive experience in high-volume production environments, specifically with PostgreSQL and MySQL. This hybrid position requires in-person onboarding in San Francisco. #J-18808-Ljbffr

Quantum computing holds the promise of humanity's mastery over the natural world, but only if we can build a real quantum computer. PsiQuantum is on a mission to build the first real, useful quantum computers, capable of delivering the world‑changing applications that the technology has long promised. We know that means we will need to build a system with roughly 1 million qubits that supports fault tolerant error correction within a scalable architecture, and a data center footprint. By harnessing the laws of quantum physics, quantum computers can provide exponential performance increases over today's most powerful supercomputers, offering the potential for extraordinary advances across a broad range of industries including climate, energy, healthcare, pharmaceuticals, finance, agriculture, transportation, materials design, and many more. PsiQuantum has determined the fastest path to delivering a useful quantum computer, years earlier than the rest of the industry. Our architecture is based on silicon photonics which gives us the ability to produce our components at Tier‑1 semiconductor fabs such as GlobalFoundries where we leverage high‑volume semiconductor manufacturing processes, the same processes that are already producing billions of chips for telecom and consumer electronics applications. We also benefit from the quantum mechanics reality that photons don't feel heat or electromagnetic interference, allowing us to take advantage of existing cryogenic cooling systems and industry standard fiber connectivity. In 2024, PsiQuantum announced two government‑funded projects to support the build‑out of our first Quantum Data Centers and utility‑scale quantum computers in Brisbane, Australia and Chicago, Illinois. Both projects are backed by nations that understand quantum computing's potential impact and the need to scale this technology to unlock that potential. And we won't just be building the hardware, but also the fault tolerant quantum applications that will provide industry‑transforming results. Quantum computing is not just an evolution of the decades‑old advancement in compute power. It provides the key to mastering our future, not merely discovering it. The potential is enormous, and we have the plan to make it real. Come join us. There's much more work to be done and we are looking for exceptional talent to join us on this extraordinary journey! Job Summary Join the OS/Platform team as a Site Reliability Engineer (SRE) and keep our services healthy, observable, and fast. Partnering with the Platform Engineering group, you'll own the day‑to‑day operation of our monitoring stack-Grafana, Prometheus, Loki, and Tempo-crafting dashboards that surface golden signals and drive real‑time insight. You'll codify reliability through SLIs/SLOs, automate runbooks in Python, and lead incident response to maintain world‑class uptime across both on‑prem and AWS environments. Responsibilities Define, implement, and iterate on Service Level Indicators & Service Level Objectives (SLIs/SLOs) and error budgets for critical services. Build and maintain Grafana dashboards that visualize golden signals (latency, traffic, errors, saturation) for engineers and stakeholders. Operate and tune our observability pipeline (Prometheus, Loki, Tempo) to ensure scalable, low‑latency telemetry ingestion and alerting. Drive incident response: triage, mitigate, perform post‑incident reviews, and implement preventive actions. Develop automation and self‑service tooling in Python/Bash to streamline alerts, runbooks, and operational tasks. Collaborate with Platform and Product teams on capacity planning, performance testing, and change management. Improve CI/CD health checks and release safety nets within GitLab. Contribute to infrastructure as code (Terraform, Ansible) for monitoring stack deployments and upgrades. Experience / Qualifications Bachelor's Degree or higher in Computer Science, Engineering or other related technical field. 5+ years in an SRE, DevOps, or Production Engineering role supporting distributed systems in production. Hands‑on expertise with observability tools: Grafana, Prometheus, Loki, Tempo (or equivalent). Proven track record designing dashboards and alerts around golden signals and (Utilization, Saturation, Errors) USE and RED (Rate, Errors, Duration) methodologies. Solid scripting/automation skills in Python and Bash; familiarity with GitLab CI pipelines. Operational experience with Kubernetes and containerized workloads. Working knowledge of AWS services, networking fundamentals, and load balancing. Experience running incident response and writing actionable post‑mortems. Familiarity with Infrastructure as Code (Terraform, Ansible) and configuration management. Exposure to regulated environments and multi‑region architectures is a plus. Strong communication and collaboration skills; comfortable acting as a generalist across infrastructure, application, and data layers. PsiQuantum provides equal employment opportunity for all applicants and employees. PsiQuantum does not unlawfully discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, national origin, ancestry, citizenship, age, physical or mental disability, military or veteran status, marital status, domestic partner status, sexual orientation, genetic information, or any other basis protected by applicable laws. Note: PsiQuantum will only reach out to you using an official PsiQuantum email address and will never ask you for bank account information as part of the interview process. Please report any suspicious activity to *************************. We are not accepting unsolicited resumes from employment agencies. The ranges below reflect the target ranges for a new hire base salary. One is for the Bay Area (within 50 miles of HQ, Palo Alto), the second one (if applicable) is for elsewhere in the US (beyond 50 miles of HQ, Palo Alto). If there is only one range, it is for the specific location of where the position will be located. Actual compensation may vary outside of these ranges and is dependent on various factors including but not limited to a candidate's qualifications including relevant education and training, competencies, experience, geographic location, and business needs. Base pay is only one part of the total compensation package. Full time roles are eligible for equity and benefits. Base pay is subject to change and may be modified in the future. U.S. Base Pay Range: $120,000 - $140,000 USD Bay Area Pay Range: $145,000 - $165,000 USD #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

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

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 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 tech company specializing in AI infrastructure based in San Francisco is looking for a candidate to own the development of decentralized machine learning infrastructure. The role involves designing components, performance tuning, and collaboration with skilled colleagues. The ideal candidate should have experience in Cloud infrastructure and software concurrency, along with a Bachelor's degree in Computer Science. Excellent communication skills and the ability to learn quickly are essential. The position is onsite at the San Francisco office. #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

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

ConductorOne is the first AI-native identity security platform that protects every identity: human, non-human, and AI. With powerful automation, platform-level AI, and out-of-the-box connectors, it centralizes access visibility, enforces fine-grained controls, enables just-in-time access, and automates user access reviews across all apps. It's easy to use, quick to deploy, and trusted by enterprises like DigitalOcean, Instacart, Ramp, and Zscaler. As a Compliance Engineer at ConductorOne, you'll be responsible for building and operating the systems, processes, and automations that keep our security and compliance programs running smoothly. You'll partner closely with Security, Engineering, and Operations to design controls that scale with the business, maintain audit readiness, and turn compliance from a manual exercise into an integrated part of our platform. You'll manage evidence collection, streamline audits, and continuously improve how ConductorOne meets its commitments - ensuring our infrastructure, products, and practices stay secure, compliant, and efficient as we grow. What you'll do: Own and operate ConductorOne's security and compliance programs such as SOC 1, SOC 2, ISO 27001, and FedRAMP. Partner with Security, Engineering, and SRE to ensure controls are effectively designed, implemented, and continuously monitored. Manage evidence collection and audit readiness while identifying opportunities to automate compliance workflows through tooling and process improvements. Translate compliance requirements into actionable engineering or operational changes - turning policies into code where possible. Collaborate cross-functionally to ensure compliance supports, rather than slows, product delivery and innovation. Develop and maintain documentation, policies, and control mappings that scale with the company. Support customer and prospect requests related to ConductorOne's security and compliance posture. Track evolving standards and regulatory expectations, ensuring the company remains audit-ready as it grows. You would be an excellent candidate if... You have hands-on experience operating or auditing information security and compliance programs. You're comfortable working directly with engineers and can translate between regulatory language and technical implementation. You enjoy finding ways to automate manual tasks and reduce audit friction through code, integrations, or workflow improvements. You're organized, detail-oriented, and calm under the pressure of audit timelines. You thrive in a fast-paced startup environment where processes evolve and impact is visible. You take pride in making compliance both effective and lightweight - enabling security and reliability without unnecessary bureaucracy. Extra Credit if… You've helped a company achieve or maintain multiple security or compliance certifications. You've used or implemented compliance automation tools or built internal equivalents. You have experience integrating compliance evidence collection with engineering systems (GitHub, AWS, Jira, etc.). You've participated in or supported customer security assessments or RFPs. You're familiar with risk management or security control frameworks such as NIST, CIS, or ISO. You have experience working closely with security engineering, DevOps or SRE teams. ConductorOne, Inc. is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status or any other category protected by law. #J-18808-Ljbffr

A leading AI startup based in San Francisco is seeking a Site Reliability Engineer to enhance operational resilience. In this role, you will oversee stability, observability, and debugging workflows, transforming complex failures into seamless operations. Ideal candidates have 3+ years in debugging production systems and are comfortable with coding in Python and Go. Excellent problem-solving skills and ability to communicate clearly under pressure are essential. Join a passionate team and help shape the future of AI-driven enterprises. #J-18808-Ljbffr

Our mission is to make exceptional healthcare accessible anytime, anywhere, for everyone. At Assort Health, we believe healthcare should feel effortless and connected - quick answers, clear communication, and seamless access to care. That's why we're building a new foundation for how patients and providers connect, driven by AI, built to embrace the complexities of healthcare, and tailored to each provider's unique needs. Assort is the most comprehensive patient experience platform powered by specialty-specific agentic AI. Assort's omnichannel AI agents seamlessly integrate with EHR/PMS and complicated provider preferences to eliminate lengthy hold times and inefficiencies that stand in the way of patients getting the care they need. Since launching in 2023, Assort has managed over 50M+ patient interactions, slashing average hold times from 11 minutes to 1 minute. Our platform now handles calls for thousands of providers with 98%+ resolution rates and 99% scheduling accuracy. Patient satisfaction averages 4.4/5, and we've achieved 11× revenue growth since Q4 2024. We're scaling rapidly and expanding adoption across the entire healthcare industry. What You'll Do You'll be the go-to expert for keeping our systems fast, stable, and resilient. While your primary mission is reliability, you'll also help shape the infrastructure, CI/CD, and tooling that enable the team to move faster and safer. Your scope may include: Define, own, and improve SLIs / SLOs / error budgets - set measurable targets around availability, latency, and error rates, and drive toward achieving them Build and maintain observability across the stack (metrics, logging, tracing, dashboards, alerts, anomaly detection) and lead incident management - coordinating responses, improving runbooks and postmortems, automating with AI tools, and collaborating with partners like Deepgram, Cartesia, GCP, and EHRs to ensure capacity Reduce operational toil by automating repetitive tasks and building self-healing systems and remediation workflows Improve deployment safety through canary or blue/green rollouts, automated rollbacks, chaos experiments, and deployment guardrails Contribute to infrastructure work: IaC, cloud architecture, networking, autoscaling, and related systems Ensure reliability across services, databases, caches, queues, third-party integrations, and networks Drive capacity planning, performance tuning, and cost optimization Mentor others on reliability best practices and champion a reliability mindset across engineering Experience & Background 3+ years focused on reliability, SRE, or production infrastructure Hands-on experience running production systems in startups or growth-stage companies (not just large enterprises) Comfortable balancing firefighting with strategic reliability improvements Technical Must-haves: Cloud infrastructure experience (GCP preferred; AWS or Azure fine) Implemented or maintained observability stacks (Datadog, Prometheus, Grafana, Honeycomb, OpenTelemetry, Sentry, PagerDuty) Can code and automate Comfortable with Kubernetes Nice-to-haves: Infrastructure-as-code (Terraform strongly preferred) CI/CD pipelines and modern deployment strategies Early-stage/high-growth experience Exposure to security, compliance, or resilience architectures Voice infra experience (Twilio, etc.) Why This Role Matters You'll build the reliability foundation - systems, culture, and practices - from the ground up You'll work cross-functionally with product, engineering, and leadership to influence priorities and tradeoffs You'll see direct impact: fewer outages, faster incident resolution, and more confidence in launches Benefits & Perks for Assorties 💸 Competitive Compensation - Including salary and employee stock options so you share in our success. 📚 Lifelong Learning - Annual budget for professional development, plus training opportunities to help you grow. 💻 Office Setup Stipend - We'll outfit your in-office workspace so comfy as it's productive. 🩺 Top-Tier Health Coverage - Medical, dental, and vision insurance, because your health comes first. 🏖 Unlimited PTO - We trust you to take the time you need to recharge and come back ready to crush it. 🥗 Meals & Snacks - Lunch, dinner, and snack breaks that fuel great ideas. 💪 Wellness Stipend - Your physical and mental well-being matters, and we've got a yearly stipend to prove it. 👵 401(k) - Let us help you plan for the future. We've got you covered. How We Work & What We Value Our team at Assort Health moves fast, stays focused, and is fueled by a desire to serve our customers and patients. Our company values guide how we work-they are present in how we show up, make decisions and work together to move our mission forward. We bring a Day One Drive, relentlessly striving to improve, keep a 5-Star Focus, as our customers are our lifeblood, always Answer the Call, remembering that ownership and accountability are paramount, and show up with One Pulse, because we are one team, with one rhythm and one result. Our team is growing and we are looking for motivated, hardworking, and passionate talent. If you want to make healthcare accessible for everyone, we'd love to hear from you! #J-18808-Ljbffr

SRE You are the infrastructure expert who enables our rapid product development and guarantees 99.9%+ stability and performance of our clinical AI platform for major health systems. Your focus on operational excellence is directly tied to a patient's access to life-saving treatment. What We Look for in a Great Engineer You have the intensity and technical mastery to own mission-critical infrastructure. You hold yourself and others to high standards and thrive in a high-energy, in-office culture where everyone is in it to win it. Tool Proficiency: You are highly proficient with your tools-you speak command line fluently and have mastered keyboard shortcuts. Ownership: You thrive on owning complex systems and have a proven track record of scaling mission-critical deployments. Automation Drive: You love automating things, always finding new ways to increase your own leverage, and defining standards for operational excellence. Problem Solver: You won't wait for someone else to solve a problem that you're in a position to solve; you are willing to jump into whatever needs to get done. What You'll Work On (Responsibilities) As our SRE, you will own the entire production environment and improve the development experience: Infrastructure Ownership: Design, implement, and maintain the production environment, having previously handled 500+ machine deployments. Kubernetes Mastery: Own our containerized infrastructure, leveraging deep expertise in Kubernetes and Helm to manage deployment, scaling, and operational health. CI/CD & Deployment Optimization: Optimize and streamline both the TypeScript and Python/ML deployment pipelines to support high-velocity feature release while maintaining the highest reliability. DevX Support: Support Developer Experience (DevX) work to streamline developer workflows, enhance tool proficiency, and improve CI/CD systems. Infrastructure as Code (IaC): Manage and maintain infrastructure definitions using Terraform. Technical Qualifications & Environment IaC & Orchestration: Deep, demonstrable experience with Kubernetes, Helm, and Terraform. Scaling Systems: Proven ability to architect and maintain complex, distributed systems with high-availability requirements. Deployment Experience: Hands-on experience optimizing deployment pipelines for both application code (TypeScript) and machine learning models (Python/ML). Also PostgreSQL, Redis, Kakfa. Core Team Member: Excitement about working five days per week in our San Francisco office. #J-18808-Ljbffr

About Runloop Runloop is building the foundational infrastructure for the next generation of AI development. We provide AI engineers and data scientists with lightning-fast, secure, and reproducible code sandboxes. Our platform eliminates friction in environment setup and dependencies, enabling teams to experiment, iterate, and deploy seamlessly. We're a small but dedicated team working to deliver a rock-solid platform that empowers innovation. The Role We're looking for a skilled Site Reliability Engineer (SRE) to ensure the reliability, observability, performance, and security of our core platform-the foundation upon which our users build. You'll work closely with engineering to maintain resilient systems that power our code sandboxes, while mentoring peers on reliability practices. This role blends deep operational expertise with a software engineering mindset. What You'll Do Design, operate, and improve production infrastructure on AWS, GCP, or Azure. Define and monitor SLIs/SLOs, manage error budgets, and maintain observability with Prometheus, Grafana, and logging/tracing frameworks. Build automation for deployments, scaling, and recovery-reducing toil and creating self-healing systems. Lead incident response, root‑cause analysis, and blameless post‑mortems. Collaborate with developers to design scalable, reliable services. Optimize distributed systems, networking, and sandbox performance. Plan for capacity growth and support safe release/change management. Mentor engineers on reliability and front‑end distributed systems (CDNs, caching, client observability). Qualifications Proven experience as an SRE, DevOps Engineer, or similar role. Strong programming skills (Python or Go preferred). Deep knowledge of containerization (Docker, Kubernetes). Expertise in infrastructure-as-code (Terraform or Pulumi). Strong understanding of networking, Linux, and system security. Hands‑on experience with distributed systems and observability (metrics, logs, tracing). Skilled in incident management, on‑call rotations, and post‑mortem processes. Ability to mentor and influence best practices across teams. Bonus Points Experience with chaos engineering, CI/CD for front‑end delivery, or observability tools like Sentry, RUM, or synthetic monitoring. Benefits Competitive salary and equity. Comprehensive health, dental, and vision insurance for you and your dependents. Free lunch and snacks. Opportunity to shape the future of AI‑driven software engineering in a high‑impact role. Location On‑site in San Francisco, CA (in office 4 days/week, optional 1 day WFH). Join Us If you're passionate about building resilient systems that empower developers and want to shape the future of AI‑driven software engineering, we'd love to hear from you. Join Runloop and help build the infrastructure that powers tomorrow's AI. Runloop is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation, gender identity, or any other characteristic protected by law. #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