Systems administrator jobs in Napa, CA - 965 jobs

Under the direction and supervision of the Statewide 4-H Director, the 4-H Data Systems Analyst applies advanced analytical concepts, organizational objectives, and database integration principles to assist with the management and development of the statewide 4-H enrollment and reporting system. This role involves analyzing extensive and multi-layered processes and problems; developing identified online system needs and solutions; collaborating to ensure all new and updated enrollment system processes will improve efficiency of the University of California 4-H (CA 4-H) Youth Development Program's enrollment system. The incumbent provides subject-matter expertise to inform enrollment system design, data integrity, reporting, training, and compliance across related platforms used in CA 4-H. This includes serving as the primary liaison with vendors, county offices, statewide staff, and external partners to ensure the enrollment system and related tools meet program, policy, and compliance requirements. The position is responsible for designing data methodologies, developing statewide enrollment reporting frameworks, and analyzing program participation trends to inform organizational decision-making. The analyst also leads requirements gathering and analysis to translate statewide operational, programmatic, and policy needs into technical specifications. The 4-H Data Systems Analyst participates in the development of enrollment system training, resources, and system enhancements. The role requires the ability to manage multiple, high-level projects, anticipate and adapt to organizational needs, and deliver innovative, data-driven solutions that increase efficiency, compliance, and program effectiveness across CA 4-H. This position independently applies advanced data systems concepts to resolve complex issues and shape statewide system functions. The position also collaborates with the 4-H Policy Analyst to ensure that all applicable UC, state, federal, and 4-H policy changes are integrated into the enrollment system. The 4-H Data Analyst also collaborates on policy-based issues impacting the UC 4-H enrollment system, UC ANR digital enterprise system, and the national 4-H network for data management and enrollment reporting. This position is a career appointment that is 100% fixed. The home department is CA 4-H. While this position normally is based in Davis, CA, this position is eligible for hybrid flexible work arrangements for applicants living in the State of California at this time. Please note that hybrid flexible work arrangements are subject to change by the University. Pay Scale: $84,100.00/year to $119,400.00year Job Posting Close Date: This job is open until filled. The first application review date will be 12/16/2025. Key Responsibilities: 40% Statewide Data System Coordination and Support: Provides strategic oversight and management of the statewide 4-H enrollment database and related systems, ensuring data integrity, compliance, and security. Participates in the design and oversees implementation of system features, integrations, and workflows to increase efficiency and effectiveness of program operations. Assists with the development of statewide methodologies for extracting, validating, and reporting data, ensuring alignment with UC, state, and federal reporting requirements. Serves as primary liaison to vendors and developers, advocating California's system needs and ensuring successful system enhancements and problem resolution. Ensures consistent application of data governance and quality assurance practices across all statewide enrollment data workflows. Collaborates with Statewide 4-H Director, 4-H Policy Analyst and others to anticipate and interpret applicable policy changes (UC, state, federal and 4-H) and integrates them into enrollment system design and user processes. 20% Data Analysis, Reporting, and Policy Support: Designs and delivers advanced reporting dashboards, data visualizations, and analyses to support statewide monitoring, compliance, and decision-making. Conducts complex analyses of program participation and system usage, identifying trends, gaps, and opportunities to inform leadership decisions. Leads requirements gathering and analysis to translate statewide operational, programmatic, and policy needs into technical specifications and system configurations. Serves as subject matter expert in translating program and policy requirements into actionable enrollment system processes. 30% Training, Communication, & Statewide Support: Assists with the design and implementation of statewide training programs, guidance materials, and communication strategies for all 4-H data system users, including county staff, volunteers, and families. Delivers advanced, multi-platform trainings (virtual and in-person), ensuring consistent statewide understanding and compliance. Coaches and advises county-level staff on complex system and policy questions, providing advanced-level troubleshooting and guidance. Represents California 4-H in national peer groups and committees related to enrollment and data systems, sharing best practices and advocating for program needs. 10% Additional Systems & Financial Reporting System: Provides secondary technical support for additional online 4-H systems, including the statewide financial reporting platform, as needed. Advises on future CA 4-H enrollment system technology adoption, integration, and system expansion opportunities to strengthen program operations. Review enrollment system functions for increased efficiencies in enrollment procedures and overall data collection and use. Provides subject-matter expertise to evaluate system functionality and recommend improvements to support statewide operational efficiency. Requirements: Bachelor's degree in a related field and extensive professional experience in data systems management, reporting, and analysis, or equivalent combination of education and experience Demonstrated expertise in database design, system implementation, and data security/integrity practices, including handling complex and sensitive data. Thorough knowledge of data visualization and reporting tools; ability to design dashboards and decision-support tools for executive audiences. Strong analytical, problem-solving, collaboration, and decision-making skills; ability to independently as well as collaboratively resolve highly complex issues requiring evaluation of multiple factors. Excellent written and verbal communication skills; ability to communicate technical concepts to diverse audiences. Ability to anticipate organizational needs, translate policy into operational procedures, and recommend strategic improvements. Demonstrate strong proficiency using Microsoft Office, Zoom, Google Workspace applications, Box, and similar collaboration and communication software tools. Preferred Skills: Master's degree in a related field and significant professional experience in data systems management, reporting, and analysis, and/or equivalent combination of education and experience. Knowledge of Cooperative Extension. 4-H knowledge of program delivery, including delivery modes. Experience managing vendor relationships and system development projects. Coding knowledge and experience Fluency in Spanish Special Conditions of Employment: Must possess valid California Driver's License to drive a County or University vehicle. Ability and means to travel on a flexible schedule as needed, proof of liability damage insurance on vehicle used is required. Reimbursement of job-related travel will be reimbursed according to University policies. Travel including travel outside normal business hours may be requested. The University reserves the right to make employment contingent upon successful completion of the background check. This is a designated position requiring a background check and may require fingerprinting due to the nature of the job responsibilities. UC ANR does hire people with conviction histories and reviews information received in the context of the job responsibilities. As of January 1, 2014, ANR is a smoke- and tobacco-free environment in which smoking, the use of smokeless tobacco products, and the use of unregulated nicotine products (e-cigarettes), is strictly prohibited. As a condition of employment, you will be required to comply with the University of California https://apptrkr.com/get_redirect.php?id=6853764&target URL=Policy on Vaccination Programs, as may be amended or revised from time to time. Federal, state, or local public health directives may impose additional requirements. Exercise the utmost discretion in managing sensitive information learned in the course of performing their duties. Sensitive information includes, but is not limited to, employee and student records, health and patient records, financial data, strategic plans, proprietary information, and any other sensitive or non-public information learned during the course and scope of employment. Understands that sensitive information should be shared on a limited basis and actively takes steps to limit access to sensitive information to individuals who have legitimate business need to know. Ensure that sensitive information is properly safeguarded. Follow all organizational policies and laws on data protection and privacy. This includes secure handling of physical and digital records and proper usage of IT systems to prevent data leaks. The unauthorized or improper disclosure of confidential work-related information obtained from any source on any work-related matter is a violation of these expectations. Misconduct Disclosure Requirement: As a condition of employment, the final candidate who accepts a conditional offer of employment will be required to disclose if they have been subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct; received notice of any allegations or are currently the subject of any administrative or disciplinary proceedings involving misconduct; have left a position after receiving notice of allegations or while under investigation in an administrative or disciplinary proceeding involving misconduct; or have filed an appeal of a finding of misconduct with a previous employer. a. "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, discrimination, dishonesty, or unethical conduct, as defined by the employer. For reference, below are UC's policies addressing some forms of misconduct: UC Sexual Violence and Sexual Harassment Policy UC Anti-Discrimination Policy Abusive Conduct in the Workplace To apply, please visit: https://careerspub.universityofcalifornia.edu/psc/ucanr/EMPLOYEE/HRMS/c/HRS_HRAM_FL.HRS_CG_SEARCH_FL.GBL?Page=HRS_APP_JBPST_FL&JobOpeningId=82838&PostingSeq=1&SiteId=17&language Cd=ENG&FOCUS=Applicant Copyright ©2025 Jobelephant.com Inc. All rights reserved. Posted by the FREE value-added recruitment advertising agency jeid-7807bc68cc6c884abd53e55ed13dbe1c

San Diego, California, United States Software and Services Imagine what you could do here. At Apple, extraordinary ideas have a way of becoming phenomenal products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish.Apple is looking for a talented and energetic software engineer for the Core Networking team to lead and participate in the architecture and development of next generation networking technologies. The team is responsible for designing and enhancing the operating system networking components across Apple's range of products including all iOS, mac OS, watch OS, tv OS and vision OS based products.In this role, you will design and develop innovative systems firmware to enable TCP/IP Networking on a co-processor so that Networking connectivity is provided in a very power and thermal efficient manner. This capability forms the bedrock of Apple's next generation of technologies and allows Apple to provide new user experiences and refresh its device roadmap. You will be a mentor to the junior members of the team and will have the opportunity to lead cross-functional design. The ideal candidate should possess an excellent conceptual understanding and working knowledge of TCP/IP and related networking technologies, excellent system level architectural thinking along with low-level firmware programming skills, excellent communication and leadership skills, and the ability to work in a fast-paced environment. Description The candidate needs to be able to work in a fast paced environment, operate gracefully under stress, balance multiple assignments in parallel, and be self driven to be effective in an environment with little overhead. The candidate also needs to show initiative, be able to take ownership of a problem area, and demonstrate an ability to understand the role of the group's technology in the larger context of the product and network environment. The position has cross- functional aspects and the candidate will need to show excellent interpersonal and communication skills. Minimum Qualifications BS in Computer Science, Electrical Engineering or equivalent networking software development experience At least 5+ years of real time embedded software (firmware) development experience (design and implementation) Proficiency in C or C++ on resource-constrained embedded platforms Preferred Qualifications Experience with Embedded Operating Systems or Micro Kernels (Embedded Linux, QNX, VxWorks, L4 etc.) Experience with Networking stack implementations (BSD, Linux/ Android, Solaris, lw IP, sevenstax, mbed TLS etc.) Familiarity with link-layer technologies (Ethernet, Wi‑Fi, Cellular etc.) 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 $139,500 and $258,100, 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

A leading financial institution seeks a Market Executive in San Francisco to manage relationships within the Software Technology sector and lead banking teams. The candidate will focus on innovative startups and require 15+ years of experience in account management within a Commercial Bank. This role also demands strong communication and problem-solving skills. A competitive salary and benefits are offered for this full-time position, with an emphasis on industry trends and client acquisition. #J-18808-Ljbffr

We are seeing an IT Support Administrator (Level 2) to join our client. As an IT Support Administrator (Level 2), you will provide level 1, level 2 and admin support to internal business users in a Microsoft environment. This position expects to pay about $26-38 per hour plus benefits What You Will Do: Provides On-Site (local division office) and Remote support (entire company). Provides troubleshooting, and end-user assistance via phone, chat, or email. Provides in-depth enterprise desktop / hardware support ensuring computing environment is running at optimal speed and efficiency. Resolves complex problems and answers questions related to the computing environment. Contacts vendors and carrier support when necessary to resolve problems and/or outages. Performs complex diagnostic tests, notes symptoms, gathers relevant problem/malfunction facts and data from users. Documents incidents and problems in the service desk and escalate issues to the appropriate teams when required. Serves as the technical liaison to the user community, able to resolve technical issues within the desktop computing environment. Prepares customers to use hardware and software by conducting training where necessary. Documents new and existing procedures and processes within technician knowledgebase. What You Bring to The Table: 3-5+ years of experience working in a Level 2 support position. Microsoft experience is required supporting accounts, devices, SharePoint, Teams, Exchange, Active Directory, Entra ID, Azure, etc. Must have experience with Intune. Demonstrated experience working and solving issues at all levels of end users, and peers in complex environments. Strong understanding of Hardware Life Cycle Management, Change Management, Incident Management, Helpdesk Ticketing, and its impacts on ensuring business continuity. Strong understanding of troubleshooting techniques and experience with remote troubleshooting tools. Ability to monitor the desktop environment using hardware and software tools. Ability to establish and maintain a high level of user trust and confidence and the ability to manage client expectations. Strong writing and speaking skills to explain technical solutions to both technical and non-technical individuals. Strong interpersonal skills at all levels and ability apply skills and techniques to solve dynamic problems, excellent teamwork skills. Experience with DNS and DHCP is a plus. Experience with GPOs and Patch Management tools is a plus. Information Technology Certifications are preferred. Bachelor's degree in computer science or relevant field preferred. Irvine Technology Corporation (ITC) connects top talent with exceptional opportunities in IT, Security, Engineering, and Design. From startups to Fortune 500s, we partner with leading companies nationwide. Our AI recruiter, Avery helps streamline the first step of your journey-so we can focus on what matters most: helping you grow. Join us. Let us ELEVATE your career! Irvine Technology Corporation provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Irvine Technology Corporation complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities.

About Us: Ambience Healthcare is the leading AI platform for documentation, coding, and clinical workflow, built to reduce administrative burden and protect revenue integrity at the point of care. Trusted by top health systems across North America, Ambience's platform is live across outpatient, emergency, and inpatient settings, supporting more than 100 specialties with real-time, coding-aware documentation. The platform integrates directly with Epic, Oracle Cerner, athenahealth, and other major EHRs. Founded in 2020 by Mike Ng and Nikhil Buduma, Ambience is headquartered in San Francisco and backed by Oak HC/FT, Andreessen Horowitz (a16z), OpenAI Startup Fund, Kleiner Perkins, and other leading investors. Join us in the endeavor of accelerating the path to safe & useful clinical super intelligence by becoming part of our community of problem solvers, technologists, clinicians, and innovators. The Role: We're looking for a Machine Learning Infrastructure Engineer to join our AI Platform team. This is a high-leverage role focused on building and scaling the core infrastructure that powers every AI system at Ambience. You'll work closely with our ML, data, and product teams to develop the foundational tools, systems, and workflows that support rapid iteration, robust evaluation, and production reliability for our LLM-based products. Our Engineering roles are hybrid in our SF office 3x/wk. What You'll Do: You have 5+ years of experience as a software engineer, infrastructure engineer, or ML platform engineer You've worked directly on systems that support ML research or production workloads - whether training pipelines, evaluation systems, or deployment frameworks You write high-quality code (we primarily use Python) and have strong engineering and systems design instincts You're excited to work closely with ML researchers and product engineers to unblock them with better infrastructure You're pragmatic and care deeply about making tools that are reliable, scalable, and easy to use You thrive in fast-paced, collaborative environments and are eager to take ownership of ambiguous problems Who You Are: Design, build, and maintain the infrastructure powering ML model training, batch inference, and evaluation workflows Improve internal tools and developer experience for ML experimentation and observability Partner with ML engineers to optimize model deployment and monitoring across clinical workloads Define standards for model versioning, performance tracking, and rollout processes Collaborate across the engineering team to build reusable abstractions that accelerate AI product development Drive performance, cost efficiency, and reliability improvements across our AI infrastructure stack Pay Transparency We offer a base compensation range of approximately $200,000-300,000 per year, exclusive of equity. This intentionally broad range provides flexibility for candidates to tailor their cash and equity mix based on individual preferences. Our compensation philosophy prioritizes meaningful equity grants, enabling team members to share directly in the impact they help create. Are you outside of the range? We encourage you to still apply: we take an individualized approach to ensure that compensation accounts for all of the life factors that matter for each candidate. Being at Ambience: An opportunity to work with cutting edge AI technology, on a product that dramatically improves the quality of life for healthcare providers and the quality of care they can provide to their patients Dedicated budget for personal development, including access to world class mentors, advisors, and an in-house executive coach Work alongside a world-class, diverse team that is deeply mission aligned Ownership over your success and the ability to significantly impact the growth of our company Competitive salary and equity compensation with benefits including health, dental, and vision coverage, quarterly retreats, unlimited PTO, and a 401(k) plan Ambience is committed to supporting every candidate's ability to fully participate in our hiring process. If you need any accommodations during your application or interviews, please reach out to our Recruiting team at accommodations@ambiencehealth.com. We'll handle your request confidentially and work with you to ensure an accessible and equitable experience for all candidates. #J-18808-Ljbffr

A leading AI infrastructure company in San Francisco seeks an experienced engineer to build and improve core ML systems for training custom AI models. The role requires 2+ years of experience in training AI models, proficiency in PyTorch, and familiarity with NVIDIA GPUs. Responsibilities include leading projects from data intake through the full training pipeline, building data processing systems, and creating visualization tools. Competitive salary ranging from $220K to $320K plus equity and benefits offered. #J-18808-Ljbffr

Build the infrastructure to serve personal AI models privately and at scale. We're building the first truly private, personal AI - one that learns your skills, judgment, and preferences without big tech ever seeing your data. Our core ML systems challenge: how do we serve the world's best personal model, at low cost and high speed, with bulletproof privacy? What you'll do Build the infrastructure that lets us create & deploy thousands and eventually millions of personalized finetuned models for our customers Monitor & optimize in-the-wild model serving performance to hit low latency & cost Interface with the TEE-based privacy stack that lets us guarantee user data & models can only be seen & used by the user-not even us-and integrate the privacy architecture with the finetuning & inference code You have A deep understanding of the machine learning stack. You can dive into the details of how transformers work & performance optimization techniques for them. You have a mental model of GPUs sufficient to reason about performance from first principles. You can drill down from ML code to metal. Ability to execute quickly. We ship fast and fail fast so we can win faster. The challenge of human relevance in a post-AGI world isn't going to solve itself. A missionary mentality. We're a mission-driven company, looking for mission-first people. If you're passionate about ensuring AI works for people (and not the other way around), you've come to the right place. Ready to roll up your sleeves. We're an early stage startup, so we're looking for someone who can wear many hats. Experience you may have Work at a fast-paced AI startup, or top AI lab Experience deploying ML systems at scale. You might have worked with frameworks like vLLM, S-LoRA, Punica, or LoRAX. Experience with privacy-first infrastructure. You're familiar with confidential computing & ability to reason about both technical and real-world confidentiality and security. You may have worked with secure enclaves, TEEs, code measurement & remote attestation, Nvidia Confidential Computing, Intel TDX or AMD SEV-SNP, or related confidential computing technologies. We encourage speculative applications; we expect many strong candidates will have different experience or unconventional backgrounds. What we offer Generous compensation and early stage equity. We're competitive with the top startups, because we believe the best talent deserves it. World-class expertise. We're based in top AI research hubs in San Francisco and London. We're backed by AI experts like Juniper Ventures, Seldon Lab, and angels at Anthropic and Apollo Research. You'll have access to some of the best AI expertise in the world. Massive impact. Our mission is to keep people in the economy well after AGI. You'll help shift the trajectory of AI development for the better, helping break the intelligence curse and prevent gradual disempowerment to keep humans in control of the future. About Workshop Labs We're building the AI economy for humans. While everyone else tries to automate the world top-down, we believe in augmenting people bottom-up. Our team previously created evals used by Open AI, completed frontier AI research at MIT/Cambridge/Oxford, worked in Stuart Russell's lab, and led product verticals at high growth startups. The essay series The Intelligence Curse has been covered in TIME, The New York Times, and AI 2027. Our vision is for everyone to have a personal AI aligned to their goals and values, helping them stay durably relevant in a post-AGI economy. As a public benefit corporation, we have a fiduciary duty to ensure that as AI becomes more powerful, humans become more empowered, not disempowered or replaced. We're an early stage startup, backed by legendary investors like Brad Burnham and Matt McIlwain, visionary product leaders like Jake Knapp and John Zeratsky, philosopher-builders like Brendan McCord, and top AI safety funds like Juniper Ventures. Our investors were early at Anthropic, Slack, Prime Intellect, DuckDuckGo, and Goodfire. Our advisors have held senior roles at Anthropic, Google DeepMind, and UK AISI. #J-18808-Ljbffr

David AI is the first audio data research company. We bring an R&D approach to data-developing datasets with the same rigor AI labs bring to models. Our mission is to bring AI into the real world, and we believe audio is the gateway. Speech is versatile, accessible, and human-it fits naturally into everyday life. As audio AI advances and new use cases emerge, high-quality training data is the bottleneck. This is where David AI comes in. David AI was founded in 2024 by a team of former Scale AI engineers and operators. In less than a year, we've brought on most FAANG companies and AI labs as customers. We recently raised a $50M Series B from Meritech, NVIDIA, Jack Altman (Alt Capital), Amplify Partners, First Round Capital and other Tier 1 investors. Our team is sharp, humble, ambitious, and tight-knit. We're looking for the best research, engineering, product, and operations minds to join us on our mission to push the frontier of audio AI. About our Engineering team At David AI, our engineers build the pipelines, platforms, and models that transform raw audio into high-signal data for leading AI labs and enterprises. We're a tight-knit team of product engineers, infrastructure specialists, and machine learning experts focused on building the world's first audio data research company. We move fast, own our work end-to-end, and ship to production daily. Our team designs real-time pipelines handling terabytes of speech data and deploys cutting-edge generative audio models. About this role As our Founding Machine Learning Infrastructure Engineer at David AI, you will build and scale the core infrastructure that powers our cutting-edge audio ML products. You'll be leading the development of the systems that enable our researchers and engineers to train, deploy, and evaluate machine learning models efficiently. In this role, you will Design and maintain data pipelines for processing massive audio datasets, ensuring terabytes of data are managed, versioned, and fed into model training efficiently. Develop frameworks for training audio models on compute clusters, managing cloud resources, optimizing GPU utilization, and improving experiment reproducibility. Create robust infrastructure for deploying ML models to production, including APIs, microservices, model serving frameworks, and real-time performance monitoring. Apply software engineering best practices with monitoring, logging, and alerting to guarantee high availability and fault‑tolerant production workloads. Translate research prototypes into production pipelines, working with ML engineers and data teams to support efficient data labeling and preparation. and optimization techniques to enhance infrastructure velocity and reliability. Your background looks like 5+ years of backend engineering with 2+ years ML infrastructure experience. Hands‑on experience scaling cloud infrastructure and large‑scale data processing pipelines for ML model training and evaluation. Proficient with Docker, Kubernetes, and CI/CD pipelines. Proven ML model deployment and lifecycle management in production. Strong system design skills optimizing for scale and performance. Proficient in Python with deep Kubernetes experience. Bonus points if you have Experience with feature stores, experiment tracking (MLflow, Weights and Biases), or custom CI/CD pipelines. Familiarity with large‑scale data ingestion and streaming systems (Spark, Kafka, Airflow). Proven ability to thrive in fast‑moving startup environments. Some technologies we work with Next.js, TypeScript, TailwindCSS, Node.js, tRPC, PostgreSQL, AWS, Trigger.dev, WebRTC, FFmpeg. Benefits Unlimited PTO. Top‑notch health, dental, and vision coverage with 100% coverage for most plans. FSA & HSA access. 401k access. Meals 2x daily through DoorDash + snacks and beverages available at the office. Unlimited company‑sponsored Barry's classes. #J-18808-Ljbffr

This is a job that we are recruiting for on behalf of one of our customers. To apply, speak to Jack. He's an AI agent that sends you unmissable jobs and then helps you ace the interview. He'll make sure you are considered for this role, and help you find others if you ask. Machine Learning Infrastructure Engineer Company Description: Early-stage private AI platform Job Description: Build the core infrastructure to serve thousands, then millions, of private, personalized AI models at scale. This role involves optimizing model serving performance for low latency and cost, and integrating a TEE-based privacy stack to ensure user data and models are exclusively accessible by the user, not even the company. Drive the foundational systems for a new era of personal AI. Location: San Francisco, USA Why this role is remarkable: Pioneer the infrastructure for truly private, personal AI models, ensuring user data remains confidential. Join an early-stage, well-funded startup backed by top-tier VCs and leading AI experts. Make a massive impact on the future of AI, helping to keep humans empowered in a post-AGI world. What you will do: Build infrastructure for deploying thousands to millions of personalized finetuned models. Monitor and optimize in-the-wild model serving performance for low latency and cost. Integrate with a TEE-based privacy stack to guarantee user data and model confidentiality. The ideal candidate: Deep understanding of the machine learning stack, including transformer optimization and GPU performance. Ability to execute quickly in a fast-paced, early-stage startup environment. A missionary mentality, passionate about ensuring AI works for people. How to Apply: To apply for this job speak to Jack, our AI recruiter. Step 1. Visit our website Step 2. Click 'Speak with Jack' Step 3. Login with your LinkedIn profile Step 4. Talk to Jack for 20 minutes so he can understand your experience and ambitions Step 5. If the hiring manager would like to meet you, Jack will make the introduction #J-18808-Ljbffr

A fast-growing Series A startup is seeking a developer to own and scale their Dashboard application. This role requires 3-5+ years of experience in shipping production web applications, deep expertise in TypeScript and Next.js, and strong front-end sensibility. You'll have the autonomy to make product and technical decisions, engaging directly with customers to translate their needs into technical solutions. The role is based in San Francisco, and offers a strong focus on ownership and innovation. #J-18808-Ljbffr

A leading productivity company is seeking a Business Systems Engineer to enhance its systems and integrations. The ideal candidate has 4-6 years of experience, strong Salesforce development expertise, and programming proficiency. This hybrid role involves collaboration with various teams to streamline processes and improve data flow. Competitive compensation in San Francisco is offered, with a salary range of $190,000-$215,000 annually. #J-18808-Ljbffr

A pioneering tech company in San Francisco is seeking a Robotics Engineer who excels in system-level debugging and end-to-end feature delivery for autonomous trucks. The successful candidate will develop and validate autonomy features, lead technical deployments, and collaborate across various teams. Requirements include 2+ years of software development experience and strong programming skills in modern languages. A role involving occasional travel to customer sites is also included. #J-18808-Ljbffr

A fast-growing tech company based in San Francisco seeks an experienced IT Engineer for contract work. You will manage IT operations, leading employee onboarding and troubleshooting. Candidates should have 3-5 years of experience in IT roles, with skills in Google Workspace and troubleshooting. The position requires reliable execution and communication skills. You will work in the office three days a week, participating in an innovative tech culture that values diversity and collaboration. #J-18808-Ljbffr

A technology company specializing in electrical automation is seeking an Electrical Automation Engineer in San Francisco to design and develop automation systems for advanced data centers. The ideal candidate has a Bachelor's degree, 4-6 years of experience in electrical engineering, and programming skills in Python and C. This role offers competitive compensation and comprehensive benefits including health coverage and a 401k plan. #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're seeking a Networking Operating System Firmware Engineer to help bootstrap and scale the switching layer of our AI supercomputers. In this role, you'll build and maintain custom SONiC NOS images from scratch, working across the Linux kernel, switch ASIC SAI/SDKs, platform drivers, control-plane services, and orchestration layers. You will validate, configure, and optimize switch platforms used across our high-bandwidth cluster fabric, ensuring performance, reliability, availability, and seamless integration with fleet automation. You'll collaborate with hardware and systems teams and guide vendors to meet stringent technical expectations. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Design, develop, and maintain custom SONiC NOS images for large-scale bleeding-edge AI fabrics. Integrate and configure Linux kernel components, device drivers, switch ASIC SDKs, and SAI layers. Bring up new switch platforms (thermal/fan control, power monitoring, transceiver management, watchdogs, OSFP CMIS, LEDs, CPLDs, etc.). Extend and customize SONiC services for routing, telemetry, control-plane state, and distributed automation. Work with hardware teams to validate ASIC configurations, link bring-up, SerDes tuning, buffer profiles, and performance baselines. Evaluate switch silicon SDK releases, track vendor deliverables, and define platform requirements with vendors and ASIC partners. Debug complex issues spanning kernel, platform drivers, SONiC dockers, routing agents, orchestration services, hardware signals, and network topology. Integrate switches into fleet-wide monitoring, remote diagnostics, telemetry pipelines, and automated lifecycle workflows. Develop robust CI/build pipelines for reproducible NOS builds and controlled rollout across the fleet. Support factory bring-up and qualification all the way through mass deployment. Collaborate, architect, implement, and deploy novel networking protocols and technologies to achieve maximum performance and reliability at AI factory scale. You might thrive in this role if you: Proven experience working with SONiC or comparable NOS stacks (FBOSS, Cumulus Linux, Arista EOS, Junos PFE-level integration, etc.). Experience with updating OpenConfig gNMI interfaces and YANG data models. Strong background in Linux kernel, network device drivers, and low-level OS internals. Experience integrating Broadcom / Marvell / NVIDIA / Intel ASIC SDKs and SAI implementations. Proficiency in C, C++ and Python; familiarity with Rust/Go is a plus. Deep understanding of L2/L3 forwarding, ECMP, RoCE, BGP, QoS, PFC, buffer tuning, and telemetry. Hands‑on experience with hardware platform bring‑up and board‑level debugging. Familiarity with CI/CD pipelines, distributed config/state management, and large‑scale automation. Strong cross‑functional problem solving in high‑performance, distributed environments. Ability to lead teams to deliver a project end to end. 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 Aff… Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US‑based candidates. 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 technology company in San Francisco is looking for a candidate to own the end-to-end lifecycle of memory features including fine-tuning models and conducting evaluations. You will work closely with customers to identify pain points and collaborate with engineering to implement solutions. The ideal applicant will have experience in information retrieval, model training, and communication with stakeholders. This role requires strong skills in Python and familiarity with machine learning frameworks like PyTorch. The company offers a dynamic and innovative work environment. #J-18808-Ljbffr

A technology firm focused on AI safety is seeking a candidate for a mission-driven role that melds engineering with customer empathy. You will be responsible for leading client integrations of trust and safety software, ensuring successful product adoption while also translating client feedback into actionable improvements. This in-person role is based in San Francisco and includes regular travel across the U.S. Competitive salary and equity are offered. #J-18808-Ljbffr

A cutting-edge CRM startup based in San Francisco seeks a Recruiting Manager to lead the hiring of exceptional engineering talent. You will develop innovative recruitment strategies and enhance the company's employer brand, ensuring a smooth candidate experience from start to finish. Ideal candidates have extensive recruiting experience with a focus on engineering roles and possess a comprehensive understanding of modern software technologies. Join us in building a transformative CRM platform. #J-18808-Ljbffr

About Us: Ambience Healthcare is the leading AI platform for documentation, coding, and clinical workflow, built to reduce administrative burden and protect revenue integrity at the point of care. Trusted by top health systems across North America, Ambience's platform is live across outpatient, emergency, and inpatient settings, supporting more than 100 specialties with real-time, coding‑aware documentation. The platform integrates directly with Epic, Oracle Cerner, athenahealth, and other major EHRs. Founded in 2020 by Mike Ng and Nikhil Buduma, Ambience is headquartered in San Francisco and backed by Oak HC/FT, Andreessen Horowitz (a16z), OpenAI Startup Fund, Kleiner Perkins, and other leading investors. Join us in the endeavor of accelerating the path to safe & useful clinical super intelligence by becoming part of our community of problem solvers, technologists, clinicians, and innovators. The Role: We're looking for a Machine Learning Infrastructure Engineer to join our AI Platform team. This is a high-leverage role focused on building and scaling the core infrastructure that powers every AI system at Ambience. You'll work closely with our ML, data, and product teams to develop the foundational tools, systems, and workflows that support rapid iteration, robust evaluation, and production reliability for our LLM‑based products. Our engineering roles are hybrid - working onsite at our San Francisco office three days per week. What You'll Do: You have 5+ years of experience as a software engineer, infrastructure engineer, or ML platform engineer You've worked directly on systems that support ML research or production workloads - whether training pipelines, evaluation systems, or deployment frameworks You write high-quality code (we primarily use Python) and have strong engineering and systems design instincts You're excited to work closely with ML researchers and product engineers to unblock them with better infrastructure You're pragmatic and care deeply about making tools that are reliable, scalable, and easy to use You thrive in fast-paced, collaborative environments and are eager to take ownership of ambiguous problems Who You Are: Design, build, and maintain the infrastructure powering ML model training, batch inference, and evaluation workflows Improve internal tools and developer experience for ML experimentation and observability Partner with ML engineers to optimize model deployment and monitoring across clinical workloads Define standards for model versioning, performance tracking, and rollout processes Collaborate across the engineering team to build reusable abstractions that accelerate AI product development Drive performance, cost efficiency, and reliability improvements across our AI infrastructure stack Pay Transparency We offer a base compensation range of approximately $200,000-300,000 per year, with the addition of significant equity. This intentionally broad range provides flexibility for candidates to tailor their cash and equity mix based on individual preferences. Our compensation philosophy prioritizes meaningful equity grants, enabling team members to share directly in the impact they help create. If your expectations fall outside of this range, we still encourage you to apply-our approach to compensation considers a range of factors to ensure alignment with each candidate's unique needs and preferences. Being at Ambience: An opportunity to work with cutting edge AI technology, on a product that dramatically improves the quality of life for healthcare providers and the quality of care they can provide to their patients Dedicated budget for personal development, including access to world class mentors, advisors, and an in‑house executive coach Work alongside a world‑class, diverse team that is deeply mission aligned Ownership over your success and the ability to significantly impact the growth of our company Competitive salary and equity compensation with benefits including health, dental, and vision coverage, quarterly retreats, unlimited PTO, and a 401(k) plan Ambience is committed to supporting every candidate's ability to fully participate in our hiring process. If you need any accommodations during your application or interviews, please reach out to our Recruiting team at accommodations@ambiencehealth.com. We'll handle your request confidentially and work with you to ensure an accessible and equitable experience for all candidates. #J-18808-Ljbffr