Engineering Manager, Kernel Reliability

About the role

We are looking for a deeply technical, hands‑on engineering leader for our on‑field Kernel Reliability team. You will lead a high‑performing team to improve the reliability of advanced compute clusters and the underlying inference, training, and internal production services.

Key responsibilities

• Provide hands‑on technical leadership, owning the technical vision and roadmap for kernel‑centric reliability of internal and customer‑facing systems.
• Assist System and Cluster Operations teams in reducing downtime after failures by delivering tooling and manual interventions for failure analysis and diagnostics.
• Collaborate with the Debug Team to enhance debug tools, accelerating failure analysis.
• Work with software teams to improve the software stack, including kernels, for better on‑field debugging and failure analysis.
• Partner with ASIC and hardware architecture teams to co‑design next‑generation architectures with reliability and debug‑friendliness in mind.
• Lead, mentor, and grow a high‑caliber engineering team, fostering a culture of technical excellence and rapid execution.

Required profile

• 6+ years of software engineering experience, including 3+ years leading teams in SW/HW reliability, debug, diagnostic, or failure‑analysis roles.
• Strong background in operations and monitoring, with experience in incident response and post‑mortem analysis.
• Demonstrated ability to recruit, retain, and mentor high‑performing engineers and collaborate cross‑functionally to deliver customer‑facing products.

Required skills

• Parallel and distributed programming (message passing, multicore, GPU, embedded).
• Debuggers, core‑dump handling, code sanitizers, and diagnostic tool development.
• Experience debugging distributed and parallel applications (deadlocks, livelocks, race conditions).
• Deep understanding of computer architectures (instruction pipelining, multithreading, networking).
• Monitoring and reliability engineering (incident response, post‑mortem analysis).

What we offer

• Opportunity to build a breakthrough AI platform beyond GPU constraints.
• Publish and open‑source cutting‑edge AI research.
• Work on one of the fastest AI supercomputers in the world.
• Job stability combined with startup vitality.
• A simple, non‑corporate culture that respects individual beliefs.