In this role, you'll lead and contribute to the development of complex, mission-critical technologies while guiding a talented team to deliver at a high level. Blending hands-on technical work with leadership, you'll help drive innovation, solve challenging problems, and bring cutting-edge systems from concept to reality.

Functional Excellence:

Directly contribute to the design, analysis, and integration of mechanical systems and subsystems for V-BAT aircraft and ground support equipment, including payload integrations, avionics packaging, harnessing and connector selection, transport structures, and launch & recovery systems.

Establish and improve pragmatic mechanical engineering standards, templates, specifications, and best practices that increase design quality, reduce rework, and enable faster iteration.

Own mechanical engineering deliverables across the product lifecycle,from early concept and prototyping through test, production, and field support,with a bias toward execution and delivery.

Own failure mode analysis and reliability modeling for mechanical systems, establish lightweight, repeatable practices (e.g., FMEA, fault trees) that proactively identify risks, reduce field failures, and inform design tradeoffs.

Partner closely with Engineering, Manufacturing, Supply Chain, Quality, Program Management, and Flight Operations to ensure designs are buildable, testable, and reliable in real-world environments.

Provide hands-on technical support during ground and flight testing, demos, and field operations; rapidly troubleshoot and implement design fixes under tight timelines.

Team Leadership and Development:

Lead, mentor, and develop a team of mechanical engineers, providing technical guidance, regular feedback, and clear expectations for ownership and execution.

Recruit and hire experienced mechanical engineers to strengthen team capability, elevate technical standards, and improve mentorship depth.

Act as a player-coach: balance meaningful individual technical contribution with team leadership, design reviews, and day-to-day unblock of engineers.

Establish team norms around accountability, decision-making speed, and engineering rigor,ensuring high-quality output without slowing momentum.

Set clear priorities aligned with program goals; actively manage team bandwidth, identify risks early, and communicate tradeoffs to leadership.

Drive clear and concise technical communication, ensuring design decisions, assumptions, and tradeoffs are well-documented and understood across functions.

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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.

Responsibilities

• 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.

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