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Firmware Lead, Robotics

openai

OnSite San Francisco
Uncategorized

Job Score

70 pts
On-site model (+70)

About the Team

We are building general-purpose robotics. In the short term, we are focused on robots to support skilled workers to build our future infrastructure. In the long term, we imagine everyone having a personal robot doing anything they need. Progress is rapid, and based on a foundation of co-design between robotics hardware and ML research.

About the Role

As a Firmware Lead, you will define and drive the architecture of embedded systems for next-generation hardware products. You will own foundational firmware decisions across real-time execution, device bring-up, hardware interfaces, fault handling, safety mechanisms, and production readiness.

We’re looking for someone with deep experience building safety-critical or high-consequence systems, where failures can have meaningful consequences. You should be comfortable reasoning about risk, designing for diagnosability and graceful degradation, and creating engineering practices that raise the reliability bar for the entire team.

You should also be unusually good at moving fast. Sometimes the right answer is a carefully reviewed architecture that will endure for years; sometimes it is getting a rough-but-useful prototype working by the end of the afternoon so the team can learn something concrete tomorrow. We value engineers who know the difference, make that call well, and can operate credibly in both modes.

You will be both a technical leader and a hands-on builder: setting direction, reviewing critical designs, unblocking the hardest problems, and writing production firmware when it matters most.

This role is based in San Francisco, CA. This role will be expected to be in office 5 days per week and offer relocation assistance to new employees.

In this role, you will:

  • Rapidly bring up new hardware and set execution pace for the team.

  • Lead firmware architecture for embedded systems spanning boot, RTOS/runtime behavior, peripheral control, power management, communications, and field diagnostics.

  • Define engineering standards for reliability, fault tolerance, observability, and maintainability across the firmware stack.

  • Design and review safety-critical mechanisms, including fault detection, recovery paths, watchdog strategies, redundancy where appropriate, and safe-state behavior.

  • Build quick, scrappy prototypes when speed of learning matters, then harden the right ideas into production-quality systems.

  • Partner closely with engineers in hardware, software, and AI research from early prototype through production.

  • Build rigorous bring-up, validation, and release processes for embedded platforms.

  • Establish testing strategies across unit, hardware-in-the-loop, integration, stress, and failure-injection testing.

  • Drive root-cause analysis for subtle hardware, firmware, and system interactions.

  • Make clear tradeoffs across performance, memory, power, schedule, and safety.

  • Mentor firmware engineers and help shape a culture of urgency, technical rigor, practical judgment, and high-quality execution.

You might thrive in this role if you:

  • Have extensive experience developing firmware in an iterative environment.

  • Get a thrill from bringing up new hardware and taking end-to-end ownership over ensuring it works.

  • Have led architecture and delivery for complex embedded products that shipped to real users or operated in demanding production environments.

  • Are deeply fluent in low-level languages (we use Rust!) and comfortable working close to hardware under real-time constraints.

  • Understand embedded systems from first principles, including interrupts, scheduling, memory layout, buses, DMA, timing behavior, and failure modes.

  • Have strong instincts for defensive design, fault containment, validation depth, and post-deployment diagnosability.

  • Know when to build the durable system and when to produce the fastest credible artifact that unlocks the next decision.

  • Communicate clearly across disciplines and can turn ambiguity into sound technical direction.

  • Care about building systems that are not only fast and capable, but also trustworthy.

  • Make heavy use of Codex, Claude Code, or similar AI-assisted coding systems to accelerate implementation, prototyping, debugging, and iteration.

Nice to have:

  • Experience with Rust in embedded environments.

  • Experience with Embassy or other async embedded Rust frameworks.

  • Familiarity with mixed-language firmware architectures, including introducing Rust incrementally into existing C/C++ systems.

  • Experience with ARM Cortex-M or Cortex-R platforms, RTOSes, and low-power embedded designs.

  • Experience building firmware for sensor-rich, latency-sensitive, or tightly integrated electromechanical products.

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.

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.

Discover Other Areas

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Key specializations include Data Engineering, Data Science, Business Intelligence, Machine Learning Engineering, and Analytics. Tools like SQL, Python, Spark, dbt, and cloud platforms (AWS, GCP, Azure) are essential.

The data market continues with high demand and salaries among the most competitive in the technology sector, with many remote work opportunities.

About Ecommerce Analyst

The Ecommerce Analyst is the professional responsible for analyzing online sales data, buyer behavior, and virtual store performance to guide strategic decisions. They combine data analysis with ecommerce knowledge to optimize conversion, average order value, and return on investment.

Key skills include Google Analytics (GA4), Hotjar, conversion funnel analysis, cohort analysis, customer segmentation, pricing analysis, and ecommerce metrics (CAC, CLV, AOV, conversion rate). Knowledge of SQL, Power BI, Google Tag Manager, and platforms like Shopify and VTEX is a differentiator.

Ecommerce Analysts in technology companies are highly valued, especially those who can turn buyer behavior data into actionable insights to increase revenue and reduce cart abandonment. The field offers opportunities from junior analyst to ecommerce analytics manager.

About UX Design

The User Experience (UX) Design area focuses on optimizing the overall user experience when interacting with a product or service. UX professionals conduct user research (UX Research), map journeys, create wireframes, perform usability tests, and define navigation flows to ensure the product is intuitive, useful, and meets users' real needs.

About IT Governance

IT Governance is the area responsible for ensuring that information technology resources are used strategically, efficiently, and in compliance with standards and regulations. IT governance professionals ensure that technology supports business objectives in a secure and reliable manner.

Key skills include IT service management (ITIL), IT audit and compliance, risk management, business continuity, disaster recovery, metrics and indicators (SLAs, KPIs), and strategic alignment between IT and business. Frameworks like COBIT, ITIL, ISO 27001, and compliance standards are essential.

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Expert Tip

Generative Design and AI as a Co-pilot

If the last decade in digital design was defined by mobile standardization and UX/UI becoming the core of product development, 2026 marks the dawn of a new era. We are no longer designing just for flat glass screens; we are building intelligent ecosystems, three-dimensional environments, and autonomous algorithms.

For designers looking to stand out and secure the best six-figure remote opportunities in the US tech market, understanding where the industry is heading is no longer a "nice-to-have" differential—it's a matter of professional survival. Below, we break down the four major trends that will dictate hiring and compensation in the 2026 design landscape.

1. Generative Design and AI as a Co-pilot (Not a Replacement)

The fear of Artificial Intelligence replacing designers is officially in the past. In 2026, generative AI is deeply and natively integrated into industry-standard tools like Figma, Adobe, and Framer. The most valued skill by top-tier tech companies is no longer speed in aligning components, but rather algorithmic art direction and prompt design.

  • UI Automation: Wireframing, component variations, and complex design systems can now be generated with a few text prompts.
  • The Designer's New Role: Professionals are shifting from operational executors to curators and strategists, ensuring that AI-generated outputs align with user psychology and core business objectives.

2. Spatial Design and Spatial Computing

With the maturation of mixed reality devices (such as the Apple Vision Pro and Meta's advanced lineups), Spatial Design has evolved from an experimental niche to a mandatory department in Big Tech and forward-thinking startups.

Designing for spatial computing requires a complete paradigm shift: designers must understand Z-axis depth, visual ergonomics, spatial audio, and interactions based on eye-tracking and hand gestures. Roles like AR/VR Product Designer and 3D Interaction Designer are seeing an exponential jump in job listings, often paired with premium compensation packages.

3. Conversation Design and Invisible Interfaces (Zero-UI)

Driven by the omnipresence of Large Language Models (LLMs), the way users interact with systems has fundamentally changed. In 2026, many of the best interfaces don't rely on buttons or hamburger menus; they are conversational. UX Writing and Conversation Design have taken center stage.

  • The Challenge: How do you design the "personality" and flow of a virtual assistant so it feels natural, empathetic, and on-brand, rather than like a rigid robot?
  • The Opportunity: Designers who know how to map complex decision trees, create logical flows for voice and text, and train the empathy of AI models are being heavily scouted by top US startups.

4. Digital Sustainability and Eco-Design

The ESG (Environmental, Social, and Governance) agenda has finally reached the product design tables. The internet consumes a massive amount of energy, and in 2026, tech companies are being strictly held accountable for their digital carbon footprint.

Enter the demand for Digital Eco-Design. This involves creating lighter interfaces, optimizing user flows to reduce screen time (saving battery life and server processing power), and adopting color palettes and assets (like SVGs instead of heavy raster images) that require less energy to render. Being a sustainable designer has become a powerful B2B selling point for agencies and freelancers alike.

Conclusion: The Evolution of Talent

The 2026 design market is highly rewarding for those who embrace complexity. The barrier to entry for making "pretty screens" has dropped significantly, but the demand for professionals who can solve intricate business problems through empathy, strategy, and the mastery of new technologies has never been higher.

If you want to stay ahead of the curve and get direct access to the remote jobs that are actively looking for these specific skills, make sure to follow Mondywork's daily curation. The future of design is hybrid, remote, and full of opportunities.