π San Francisco, CA
OpenAI develops artificial intelligence technologies, including the GPT series of language models and DALL-E for image generation. Headquartered in San Francisco, California, OpenAI focuses on creating safe and beneficial AI applications across various sectors, including natural language processing and robotics. The engineering team at OpenAI encompasses software engineering, machine learning, and robotics disciplines. Engineers work on optimizing AI models for performance and safety, addressing challenges in inference and deployment. With a growing team and a commitment to research, OpenAI is at the forefront of AI advancements, pushing the boundaries of what is possible with machine learning.
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OpenAI develops artificial intelligence technologies, including the GPT series of language models and DALL-E for image generation. Headquartered in San Francisco, California, OpenAI focuses on creating safe and beneficial AI applications across various sectors, including natural language processing and robotics. The engineering team at OpenAI encompasses software engineering, machine learning, and robotics disciplines. Engineers work on optimizing AI models for performance and safety, addressing challenges in inference and deployment. With a growing team and a commitment to research, OpenAI is at the forefront of AI advancements, pushing the boundaries of what is possible with machine learning.
OpenAI currently has 2 active embedded systems positions in 1 location. All positions are on-site, typical for hardware-focused roles requiring lab access and equipment.
* Data represents job posting activity over the past 6 months: Jan 2026 through Jun 2026
Hiring momentum at OpenAI is currently increasing, with 3
openings posted this month compared to 1 last month.
This upward trend often signals product development acceleration, team scaling, or new project initiatives.
Over the past 6 months, OpenAI averaged 2.0 job postings per month,
with peak hiring in Jan 2026 (3 openings).
For embedded systems roles, hiring activity typically correlates with product development cycles,
especially for firmware teams during pre-production phases and hardware engineers during prototyping.
π +200% growth
Consistent hiring velocity
Jan 2026
C++ is the most in-demand skill at OpenAI,
appearing in 26% of all job listings (past and present).
This skill is important but not universal, indicating diverse technical needs across different product lines or teams.
OpenAI's technology stack spans 93 distinct skills and tools,
reflecting the multifaceted nature of embedded systems development.
The broad technical diversity (93 technologies) suggests work on complex,
multi-domain projects requiring both hardware and software expertise.
Engineers joining OpenAI should combine depth in key areas with adaptability. The mix of hardware skills (PCB design, schematics) and firmware expertise (RTOS, embedded C) indicates full-stack embedded development where engineers work across the hardware-software boundary. Candidates with adjacent skills (version control, testing frameworks, communication protocols) typically advance faster by contributing across the development lifecycle.
OpenAI is building across 2 distinct engineering specializations, reflecting varied technical needs. This diversity suggests cross-functional projects where firmware engineers, hardware designers, and systems architects collaborate on integrated solutions.
Experience level distribution: 100% of openings target senior-level engineers.
OpenAI's engineering operations are concentrated in a single country across 1 location. A single-location focus enables tight team collaboration and simplified operations, particularly valuable for hardware-intensive development requiring shared lab facilities.
These employers share technical focus areas with OpenAI and are actively hiring embedded engineers. Exploring multiple companies helps candidates understand market compensation, compare technical challenges, and identify the best cultural and technical fit for their career goals.
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