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San Francisco, California, United States · On-site
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San Francisco, California, United States · On-site
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San Francisco, California, United States · On-site
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San Francisco, California, United States · Hybrid
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Job DetailsLevel: EntryJob Location: SFCA San Francisco - San Francisco, CA 94105Position Type: Full TimeThe Opportunity PAE is seeking a proactive and detail-oriented Electrical Engineer II to join our team in a hybrid …
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San Francisco, California, United States · On-site
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San Francisco, California, United States · Hybrid
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San Francisco, California, United States · On-site
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San Francisco, California, United States · On-site
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San Francisco, California, United States · On-site
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San Francisco, California, United States · On-site
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San Francisco, California, United States · Hybrid
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Hover helps people design, improve, and protect the properties they love. With proprietary AI built on over a decade of real property data, Hover answers age-old questions like “What will it look like?” and “What will it…
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San Francisco, California, United States · On-site
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San Francisco, California, United States · Hybrid
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TD Thornton TD Thornton is a premier consulting firm specializing in project management and project controls solutions. We provide strong onboarding and ongoing support to help our people succeed. We welcome applicants f…
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San Francisco, California, United States · On-site
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San Francisco, California, United States · On-site
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Summary Description: Syntiant Corp. is looking for an experienced Field Applications Engineer to be a key technical partner to customers, sales, product, and engineering teams. This role supports customers from early pro…
Skills: Field Applications Engineering, Embedded Systems, Edge AI, Hardware Troubleshooting, Software Troubleshooting
San Francisco, California, United States · On-site
$140k–$180k/yr
WHO WE ARE Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain cu…
Skills: Application Security, DevSecOps, AI/ML Security, Threat Modeling, SAST/DAST/SCA
San Francisco, California, United States · Hybrid
Company Overview Docusign brings agreements to life. Over 1.5 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate the process of doing business and simplify people&…
Skills: Python, Java, SQL, Data Modeling, Snowflake
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Build, scale, and operate OpenAI's global compute infrastructure to support frontier AI models. Solve complex problems across software, hardware, and data center systems to improve reliability and performance.
Candidates must have experience building and operating complex technical systems and be comfortable working across multiple disciplines. Strong technical judgment and a bias toward execution in ambiguous, high-impact environments are required.
OpenAI’s Compute organization turns ambitious AI research into real-world capability by delivering the compute infrastructure behind our most advanced models. The team works across software, hardware, facilities, operations, and engineering disciplines to make enormous amounts of compute available, reliable, and efficient.
As the demand for frontier AI grows, so does the complexity of the systems required to support it. Scaling this infrastructure means solving problems that cut across distributed systems, ML infrastructure, GPU fleets, power, cooling, networking, manufacturing, supply chain, and data center delivery.
Our work is focused on expanding the compute foundation that enables OpenAI to train more capable models, including systems like GPT-5.6, and make frontier AI available to more people, products, and workflows. We’re looking for exceptional people across many disciplines to help build the next generation of AI infrastructure at a scale few organizations have attempted.
We are hiring across a broad range of roles to help design, build, scale, and operate OpenAI’s compute infrastructure. Depending on your background, you may work on large-scale distributed systems, ML infrastructure, hardware systems, manufacturing, supply chain, data center development, or the physical engineering systems required to bring massive compute capacity online.
You’ll work with teams across research, engineering, hardware, operations, and infrastructure to solve high-impact problems at extraordinary scale. This may include improving system reliability, accelerating deployment timelines, increasing operational efficiency, designing new infrastructure, or helping bring new compute platforms and facilities from concept to production.
This is an opportunity to work on one of the most important infrastructure challenges in AI: building the compute foundation required to train and serve increasingly capable frontier models.
Help build, scale, and operate OpenAI’s global compute infrastructure.
Solve complex problems across software, hardware, manufacturing supply chain, and data center systems.
Improve the reliability, performance, efficiency, and scalability of critical infrastructure.
Partner with cross-functional teams to bring new compute capacity online quickly and reliably.
Identify bottlenecks across technical, operational, and physical systems, and develop practical solutions.
Build tools, processes, systems, or infrastructure that improve execution at scale.
Contribute to the long-term architecture and operational maturity of OpenAI’s compute footprint.
Have experience building, scaling, or operating complex technical systems.
Enjoy working on ambiguous, high-impact problems where the path forward is not always defined.
Are comfortable collaborating across disciplines, including software, hardware, operations, and physical infrastructure.
Have strong technical judgment and a bias toward execution.
Care deeply about reliability, speed, safety, and operational excellence.
Are excited by the challenge of building infrastructure at unprecedented scale.
Want your work to directly support the development and deployment of frontier AI.
Have experience with AI infrastructure, high-performance computing, distributed systems, GPU clusters, or cloud-scale platforms.
Have worked on hardware systems, manufacturing, supply chain, data center development, or large capital infrastructure projects.
Have domain expertise in civil, controls, mechanical, hardware, electrical, thermal, power, networking, or facilities engineering.
Have helped bring new technical platforms, data centers, factories, or large-scale systems from concept to production.
Have experience operating in fast-moving environments where technical depth and execution speed both matter.
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.
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.
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. AI is an extremely powerful tool that must be created with safety and human needs at its core. OpenAI is dedicated to putting that alignment of interests first — ahead of profit. To achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. Our investment in diversity, equity, and inclusion is ongoing, executed through a wide range of initiatives, and championed and supported by leadership. 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.
Offices: San Francisco, CA 94110, US
Based on 2785 listings with disclosed salaries, most engineering jobs in San Francisco, CA pay between $130k–$285k per year. Individual offers vary with seniority, company size, and specialization.
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Companies currently hiring include OpenAI, Anthropic, San Francisco Department of Public Health, Pinterest, Amazon, among others. Browse the listings above to see every active employer.
Yes — 1784 of the 3615 open engineering positions offer remote or hybrid work (370 remote, 1414 hybrid).
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