Quality engineer jobs in Vacaville, CA - 1,350 jobs

Primary Responsibilities: Make patient assessments in home setting and determining appropriate levels of behavioral care needed Obtain information from providers on outpatient requests for treatment Determine if additional clinical treatment sessions are needed Manage behavioral health cases throughout the entire treatment plan Administer benefits and review treatment plans in collaboration with interdisciplinary care team Assist in coordinating Medicaid/Medicare benefits and transitions between various areas of care Communicate with members who have complex medical needs and may have communication barriers Identify ways to add value to treatment plans and consulting with facility staff or outpatient care providers on those ideas Focus on whole person care model for psychiatric and chemical dependency patients Build relationships and work with a variety of populations within the community Ability to work with low - income populations with complex social and medical needs including adults with serious mental illness and emotional disturbances, members with substance use disorders, and members with other complex or multiple chronic conditions You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Requirements Required Qualifications: Master's degree in Social Work 1+ years of clinical or case management experience 2+ years of experience in long-term care, home health, hospice, public health or assisted living Experience working with MS Word, Excel and Outlook Full COVID-19 vaccination is an essential job function of this role. Candidates located in states that mandate COVID-19 booster doses must also comply with those state requirements. UnitedHealth Group will adhere to all federal, state and local regulations as well as all client requirements and will obtain necessary proof of vaccination, and boosters when applicable, prior to employment to ensure compliance. Candidates must be able to perform all essential job functions with or without reasonable accommodation Preferred Qualifications: LCSW license Proven background in managing populations with complex medical or behavioral needs Experience with electronic charting Experience with arranging community resources Field based work experience Demonstrated knowledge of both medical and behavioral health diagnosis and terminology Proven knowledge of symptom identification and intervention, associated with behavioral health and substance use disorders Proven knowledge of APS reporting processes Experience working with complex family systems and dynamics Proven knowledge of resources to address SDOH Experience in crisis intervention Proven understanding of health disparities among various membership, based on their race or ethnicity; religion; socioeconomic status; sexual orientation; gender, gender identity; age; mental health; cognitive, sensory or physical disability; geographic location or other characteristics historically linked to discrimination and exclusion Experience working in Duals (DSNP) and/or Medicaid environment Ability to work independently as well as a member of a team Excellent written and verbal communication and relationship building skills Planning and organizational skills Proficient with Microsoft Word, Excel, Outlook, PowerPoint Benefits Dental, Medical, Vision and 401K

Overview/Description The Manager/Coach for Quality Assurance (QA) plays a pivotal role in driving excellence in QA practices, fostering a culture of continuous improvement, and enhancing the overall quality of software products. This role involves identifying opportunities for process optimization, implementing best practices, and empowering QA teams through inclusive training, collaboration, and knowledge sharing initiatives, thereby creating a positive and engaging work environment where team members feel valued and motivated. Responsibilities: Process Evaluation and Optimization: Conduct metrics-based evaluation of existing QA processes, identify inefficiencies and bottlenecks, and implement improvements to streamline workflows and enhance productivity. Outcome: Streamlined QA processes, reduced time-to-market, and improved product quality. Quality Standards Compliance: Ensure adherence to quality standards, regulations, and industry best practices, and implement measures to enhance compliance across QA activities. Outcome: Enhanced compliance with quality standards, reduced defects, and improved customer satisfaction. Training and Development: Provide training, coaching, and mentorship to QA teams on agile methodologies, best practices, and tools. Facilitate workshops, knowledge-sharing sessions, COE's, and learning activities to promote skill development and knowledge transfer. Outcome: Improved skills and capabilities within software development teams, leading to higher productivity and quality. Metrics and Measurement: Define and track key performance indicators (KPIs) and metrics to measure the effectiveness of continuous improvement initiatives. Analyze data and metrics to identify trends, patterns, and areas for further improvement. Outcome: Data-driven insights and metrics that measure the impact of continuous improvement efforts. Performance Management: Conduct performance evaluations, provide regular feedback, and support individuals to meet DHCS expectations and concerns in a timely and constructive manner. Recognize and reward top performers, and support the professional development and career growth of team members. Outcome: Engaged and motivated team members with coaching and support to get the skills for their next goal or stage in career. Contractor onboarding and Support: Facilitate interviews, send codility tests, and provide feedback to the state regarding candidate submissions for engineering resources. Champion updates to role descriptions with state leadership to help champion better clarity on expectations and roles. Outcome: highly skilled staff for BHT staff. General Skills: Analytical Skills: Ability to analyze processes and identify areas for improvement Problem-Solving Skills: Capability to address challenges and devise effective solutions Technical Proficiency: Strong understanding of Agile, DevOps, QA process's and tools. Communication Skills: Excellent verbal and written communication for effective collaboration Interpersonal Skills: Ability to build relationships and work well within cross-functional teams Leadership Abilities: Capacity to inspire, motivate, and drive organizational change Coaching and Mentoring Skills: Skill in guiding individuals and teams towards improvement Change Management Expertise: Ability to manage resistance and ensure successful adoption of new practices Data Analysis and Metrics Management: Proficiency in measuring and tracking progress using relevant metrics Continuous Learning Mindset: Commitment to staying updated with industry trends and best practices Must haves: Must have people management skills, coaching/mentoring/training/performance reviews/metrics We find intrinsic motivation to be a factor distinguishing successful candidates in this role Technical Skills: BDD, TDD, functional and non-functional testing frameworks Testing: Selenium/Katalon, Postman, etc Automations: Scripting (Bash) , Docker, Git, CI workflows (argo workflows/circle ci) Test management tools: Jira, Xray, etc other: Git

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

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

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

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 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

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

A manufacturing technology company in San Francisco is seeking an Industrial Engineer to analyze assembly workflows and optimize manufacturing processes. The ideal candidate has at least 3 years of experience in industrial engineering, along with a Bachelor's degree in a relevant field. Responsibilities include leading Lean initiatives and providing technical guidance to production teams. This position offers a full benefits package and opportunities for career advancement in a fast-paced environment. #J-18808-Ljbffr

Abridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most-their patients. Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems. We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense. We have offices located in the Mission District in San Francisco, the SoHo neighborhood of New York, and East Liberty in Pittsburgh. The Role As a Senior Software Engineer (Quality), you will play a pivotal role in driving a culture of quality throughout the organization. This is not just about testing, it is about owning quality from the start. If you are passionate about breaking products to make them better and delivering software that users can trust and love, we would love to have you on board. What You'll Do Break the Product: Push the product to its limits, uncovering bugs, edge cases, and usability gaps. Manual Testing: Dive deep into hands-on testing to validate functionality, reliability, and user experience. Automation Development: Design, implement, and maintain automated testing frameworks for end-to-end testing. Shift-Left Testing: Collaborate with developers to embed quality practices early in the development lifecycle, catching issues before they surface. Refine Requirements: Work closely with product managers to define and refine quality requirements, ensuring a seamless and intuitive user experience. Optimize Pipelines: Enhance CI/CD pipelines with comprehensive and reliable automated testing solutions. Mentor and Guide: Foster a culture of curiosity, quality, and continuous improvement by mentoring team members and sharing best practices. What You'll Bring Experience: 5+ years in quality assurance or software development with a strong focus on both manual and automated testing. 5+ years in software development and test automation Technical Expertise: Proficiency in JavaScript and experience with test automation tools like Cypress, Selenium, Playwright, or similar frameworks. Critical Thinking: A creative and methodical approach to uncovering bugs and ensuring quality. Shift-Left Mindset: Proven ability to integrate testing strategies early in the development process. Collaboration: Strong communication and teamwork skills to partner effectively with developers, product managers, and stakeholders. Ownership: A proactive approach to taking responsibility for product quality and driving improvements across teams. Customer Focus: A dedication to delivering exceptional user experiences. Bonus Points If... Experience testing AI/ML-based products. Knowledge of performance and load testing tools and methodologies. Hands-on experience with API testing tools and CI/CD systems like GitHub Actions or Jenkins. Must be willing to work from our SF office at least 3x per week This position requires a commitment to a hybrid work model, with the expectation of coming into the office a minimum of (3) three times per week. Relocation assistance is available for candidates willing to move to San Francisco. Must be willing to travel up to 10% Abridge typically hosts a three-day builder team retreat every 3-6 months. These retreats often feature internal hackathons, collaborative project sessions, and social events that allow the team to connect in person. We value people who want to learn new things, and we know that great team members might not perfectly match a job description. If you're interested in the role but aren't sure whether or not you're a good fit, we'd still like to hear from you. Why Work at Abridge? At Abridge, we're transforming healthcare delivery experiences with generative AI, enabling clinicians and patients to connect in deeper, more meaningful ways. Our mission is clear: to power deeper understanding in healthcare. We're driving real, lasting change, with millions of medical conversations processed each month. Joining Abridge means stepping into a fast-paced, high-growth startup where your contributions truly make a difference. Our culture requires extreme ownership-every employee has the ability to (and is expected to) make an impact on our customers and our business. Beyond individual impact, you will have the opportunity to work alongside a team of curious, high-achieving people in a supportive environment where success is shared, growth is constant, and feedback fuels progress. At Abridge, it's not just what we do-it's how we do it. Every decision is rooted in empathy, always prioritizing the needs of clinicians and patients. We're committed to supporting your growth, both professionally and personally. Whether it's flexible work hours, an inclusive culture, or ongoing learning opportunities, we are here to help you thrive and do the best work of your life. If you are ready to make a meaningful impact alongside passionate people who care deeply about what they do, Abridge is the place for you. How we take care of Abridgers: Generous Time Off: 14 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employees Comprehensive Health Plans: Medical, Dental, and Vision coverage for all full-time employees and their families. Generous HSA Contribution: If you choose a High Deductible Health Plan, Abridge makes monthly contributions to your HSA. Paid Parental Leave: Generous paid parental leave for all full-time employees. Family Forming Benefits: Resources and financial support to help you build your family. 401(k) Matching: Contribution matching to help invest in your future. Personal Device Allowance: Tax free funds for personal device usage. Pre-tax Benefits: Access to Flexible Spending Accounts (FSA) and Commuter Benefits. Lifestyle Wallet: Monthly contributions for fitness, professional development, coworking, and more. Mental Health Support: Dedicated access to therapy and coaching to help you reach your goals. Sabbatical Leave: Paid Sabbatical Leave after 5 years of employment. Compensation and Equity: Competitive compensation and equity grants for full time employees. ... and much more! Equal Opportunity Employer Abridge is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability. Staying safe - Protect yourself from recruitment fraud We are aware of individuals and entities fraudulently representing themselves as Abridge recruiters and/or hiring managers. Abridge will never ask for financial information or payment, or for personal information such as bank account number or social security number during the job application or interview process. Any emails from the Abridge recruiting team will come from *************** email address. You can learn more about how to protect yourself from these types of fraud by referring to this article. Please exercise caution and cease communications if something feels suspicious about your interactions. #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

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

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 leading technology firm in San Francisco is looking for a Site Reliability Engineer to design and manage scalable infrastructure solutions. You will ensure high performance and availability while collaborating across teams. Candidates should have at least 5 years of experience, strong coding skills, and familiarity with various cloud services and automation tools. Join us in a culture of continuous improvement and innovation. #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 AI contracting platform is seeking a Business Value Engineer in San Francisco to own and execute value-selling methodology throughout the customer lifecycle. This role will drive revenue growth and customer success by partnering with Sales and Customer Success while developing financial models to articulate the impact of the platform. Candidates should have over six years of relevant experience and a proven track record in strategic storytelling and agile problem-solving. Competitive compensation is offered, including benefits and opportunity for growth. #J-18808-Ljbffr

A technology-driven power company in San Francisco is seeking a Supplier Industrialization Engineer to optimize manufacturing processes and ensure high-quality product integration. The ideal candidate has a Bachelor's Degree in Mechanical Engineering, 3+ years of relevant experience, and strong project management skills. This is a full-time on-site position, focused on driving supplier improvements and managing engineering changes. #J-18808-Ljbffr