Quality engineer jobs in San Rafael, CA - 2,519 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

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

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

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

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

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

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

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

About Mercor Mercor is at the intersection of labor markets and AI research. We partner with leading AI labs and enterprises to provide the human intelligence essential to AI development. Our vast talent network trains frontier AI models in the same way teachers teach students: by sharing knowledge, experience, and context that can't be captured in code alone. Today, more than 30,000 experts in our network collectively earn over $1.5 million a day. Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast‑paced and deeply committed team. You'll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in‑person five days a week in our new San Francisco headquarters. About the Role As a Site Reliability Engineer (SRE) at Mercor, you'll own production reliability across our most critical systems, partnering directly with infrastructure leadership. You'll play a foundational role in building our SRE function from the ground up and shaping how Mercor operates large‑scale, high‑availability systems. What You'll Do Own reliability and production safety for core shared services and customer‑facing systems. Partner directly with infrastructure leadership to define SRE priorities, reliability standards, and production safety roadmap. Repair and improve how our production systems are structured so they are stable, resource‑efficient, isolated, and well‑observed. Introduce and champion modern SRE practices (e.g., incident response, postmortems, SLIs/SLOs) across engineering teams. Collaborate with leverage engineering and applied AI teams to ensure sustainable growth. Represent SRE best practices internally and help teams onboard onto production in a way that is safe, scalable, and consistent with SRE principles. What We're Looking For Experience doing true SRE work (not just operations) across multiple roles or companies. Deep familiarity with SRE practices as popularized by Google (e.g., error budgets, reliability vs. risk trade‑offs, large‑scale distributed systems). 5+ years of SRE experience; 15+ years of overall experience is ideal for this first SRE hire. Proven success operating systems at scale, with a strong understanding of the challenges of large, distributed production environments. Strong collaboration skills; able to work efficiently with cross‑functional engineering teams. Ability to drive cultural change around reliability while remaining hands‑on in building and fixing systems. Comfort working in high‑intensity, high‑availability environments where uptime and production quality are critical. Nice to Haves Experience as a founding SRE or early SRE hire, standing up SRE practices and orgs from scratch. Hands‑on experience in the AWS ecosystem, Kubernetes, and modern IaC tooling (Terraform, Spacelift, etc.). #J-18808-Ljbffr

About Us 🚀 At Relevance AI, our mission is to empower anyone to delegate work to the AI workforce. We're building a new category of AI automation, enabling teams to create and deploy intelligent AI agents that replicate human-quality work, decision-making, and collaboration at scale. We're scaling fast backed by top global investors including Bessemer Venture Partners, Insight Partners, Peak XV, and King River Capital and our platform is already trusted by industry leaders like Canva, Databricks, Confluent, KMPG, Autodesk, and more. With offices in Sydney 🇦🇺 and San Francisco 🇺🇸 (and a new hub launching in Barcelona 🇪🇸), this is your chance to shape the future of work on a global stage. The Role 🧠 We're looking for a Founding Site Reliability Engineer to join us as our first SRE hire in San Francisco. We are open to hiring someone who is Senior, Lead or Principal level and will be candidate led. This role is perfect for someone ready to establish and scale the SRE discipline from the ground up in one of the fastest-growing AI companies globally. You'll own the reliability, scalability, and security of our platform as we power tens of thousands of multi-agent workloads across multiple regions. You'll partner closely with our founders, engineering leads, and product teams to define our reliability culture, shape long-term strategy, and build world-class infrastructure for enterprise scale. What You'll Do 💪 Own SRE establishing best practices, tooling, and culture Tackle reliability challenges unique to multi-agent orchestration at enterprise scale Guarantee >99.9% uptime of production systems, ensuring reliability at global scale Architect and automate AWS infrastructure with Terraform and CI/CD pipelines Design observability systems across microservices, APIs, and vector infrastructure (metrics, tracing, logging) Drive down incidents and MTTR through runbooks, alerting, and incident response excellence Help scale infra to support hundreds of thousands of agents and billions of API calls Partner with engineering teams to embed SRE principles into the SDLC and shape org-wide reliability strategy Act as a founding voice in our SF office, influencing product direction and engineering culture What We're Looking For 🧠 5+ years in SRE/DevOps/Infrastructure roles, with experience in enterprise SaaS environments. Deep AWS expertise (EC2, ECS/EKS, Lambda, RDS, VPC, IAM). Proven track record with Infrastructure as Code (Terraform, Kubernetes/EKS, CDK, or CloudFormation). Hands-on with observability stacks (CloudWatch, Grafana, Prometheus, Datadog). Incident management experience in production SaaS systems, including on-call, postmortems, and reliability improvements. Bonus: Prior exposure to AI/ML platforms, data-heavy systems, or multi-agent workloads. Tech Stack 🧰 AWS, Kubernetes/EKS, Terraform, GitHub Actions, Postgres/Mongo, Prometheus/Grafana, CloudWatch, PagerDuty/BetterStack #J-18808-Ljbffr

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

A leading AI research company based in San Francisco is seeking experienced reliability engineers to scale their infrastructure and ensure system performance and reliability. This role involves collaborating with diverse teams to develop resilient systems and enhance operations. Candidates should have strong cloud proficiency, experience in containerization technologies, and a bachelor's degree in a related field. #J-18808-Ljbffr

Voleon is a technology company that applies state‑of‑the‑art AI and machine learning techniques to real‑world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion‑dollar asset manager, and we have ambitious goals for the future. Your colleagues will include internationally recognized experts in artificial intelligence and machine learning research as well as highly experienced finance and technology professionals. The people who shape our company come from other backgrounds, including concert music performances, humanitarian aid, opera singing, sports writing, and BMX racing. You will be part of a team that loves to succeed together. In addition to our enriching and collegial working environment, we offer highly competitive compensation and benefits packages, technology talks by our experts, a beautiful modern office, daily catered lunches, and more. As a Site Reliability Engineer (SRE), you will work at the intersection of production operations and software development as you improve, manage, and monitor production‑critical infrastructure and data pipelines. At Voleon, many SREs serve together on a Production Operations team tasked with improving shared production infrastructure. Others are embedded with teams of software engineers to improve specific production systems owned by those teams. Voleon SREs work on important real‑world problems and collaborate with passionate and talented colleagues in an empowering, results‑driven environment. This role is a way to make a real difference: your contributions will make our critical systems more reliable, lower operational risk, and increase the efficiency of our engineering effort. Responsibilities Improve fault‑tolerance and maintainability of code in proprietary data pipelines and trading systems Diagnose and fix bugs in code Lead complex deployments Automate manual workflows Track and prioritize outstanding production‑related issues Share an on‑call rotation responding to incidents to ensure the continuous operation of production‑critical systems Requirements Experience with coding and debugging Python Experience with Linux Familiarity with Relational Databases & SQL Sharp analytical and problem‑solving skills and a persistent drive to make things work (better) Strong growth mindset and a passion for learning Strong technical communication skills Attention to detail 2 years of relevant industry experience An undergraduate degree or comparable training in a quantitative field or equivalent, relevant industry experience Preferred Qualifications Familiarity with best practices concerning code maintainability, documentation, quality assurance, continuous integration and deployment Experience supporting production systems Experience with any of the following: gRPC microservices, Postgres, Pandas, Golang, R, Git, Jenkins, Bazel, Prometheus, Grafana, Airflow, Kubernetes The base salary for this position is $120,000 to $160,000 in the location(s) of this posting. Individual salaries are determined through a variety of factors, including, but not limited to, education, experience, knowledge, skills, and geography. Base salary does not include other forms of total compensation such as bonus compensation and other benefits. Our benefits package includes medical, dental and vision coverage, life and AD&D insurance, 20 days of paid time off, 9 sick days, and a 401(k) plan with a company match. Friends of Voleon Candidate Referral Program If you have a great candidate in mind for this role and would like to have the potential to earn $7,500 - $15,000 if your referred candidate is successfully hired and employed by The Voleon Group, please use this to submit your referral. For more details regarding eligibility, terms and conditions please make sure to review the Voleon Referral Bonus Program. Equal Opportunity Employer The Voleon Group is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law. #J-18808-Ljbffr

Job type: Full Time · Department: Backend Engineer · Work type: Remote About A rchetype AI Archetype AI is developing the world's first AI platform to bring AI into the real world. Formed by an exceptionally high-caliber team from Google, Archetype AI is building a foundation model for the physical world, a real-time multimodal LLM for real life, transforming real-world data into valuable insights and knowledge that people will be able to interact with naturally. It will help people in their real lives, not just online, because it understands the real-time physical environment and everything that happens in it. Supported by deep tech venture funds in Silicon Valley, Archetype AI is currently pre-Series A, progressing rapidly to develop technology for their next stage. This presents a unique and once-in-a-lifetime opportunity to be part of an exciting AI team at the beginning of their journey, located in the heart of Silicon Valley. Our team is headquartered in Palo Alto, California, with team members throughout the US and Europe. We are actively growing, so if you are an exceptional candidate excited to work on the cutting edge of physical AI and don't see a role that exactly fits you below you can contact us directly with your resume via jobsarchetypeaiio. About the Role As a Site Reliability Engineer (SRE) at Archetype AI, you will be responsible for designing, scaling, and maintaining the infrastructure that powers our AI-driven products. You will collaborate with backend engineers and ML researchers to ensure that our distributed platforms are fault-tolerant, performant, and highly available. Core Responsibilities Design, build, and operate highly available distributed systems. Collaborate with engineering and ML teams to ensure reliable deployment of backend services (in Rust, C++ or similar). Implement monitoring, alerting, and observability solutions across infrastructure. Automate deployments, scaling, and infrastructure provisioning using infrastructure-as-code. Diagnose and resolve performance bottlenecks, system outages, and production incidents. Support AI/ML infrastructure for training and serving models at scale, including GPU clusters, pipelines, and inference services. Contribute to infrastructure architecture, standards, and operational best practices. Minimum Qualifications 5+ years of experience as SRE, DevOps, or Systems Engineer. Strong expertise in distributed systems, fault-tolerant architectures, and large-scale production environments. Proficiency in Rust, C++, or other backend languages with willingness to learn. Solid experience with Kubernetes, containers, and cloud platforms (AWS, GCP, Azure). Hands‑on experience with monitoring and observability tools (Prometheus, Grafana, ELK, OpenTelemetry). Experience with data pipelines, messaging systems, and streaming technologies (Kafka, Pulsar, etc.). Familiarity with AI/ML infrastructure (training pipelines, GPU clusters, inference systems). Strong debugging, problem‑solving, and automation mindset (Terraform, Ansible, Pulumi, scripting). Excellent communication and collaboration skills. Preferred Qualifications Experience with real‑time or low‑latency systems. Open‑source contributions to distributed systems or infrastructure projects. Knowledge of security best practices for distributed environments. Experience with edge or embedded systems and sensor‑based infrastructure. Background in multimodal data fusion or physical‑world perception systems. What We Value Ownership - You take initiative, follow through, and care deeply about quality and outcomes. Motivation - You're driven to solve complex problems and continuously raise the bar for yourself and your team. Excellence - You bring discipline, clarity, and rigor to your craft-and help others do the same. Collaboration - You work well with others, mentor generously, and contribute to a high‑trust, high‑performance culture. #J-18808-Ljbffr

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

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

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 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 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