Engineering Manager, Kernel Reliability

Cerebras; Raleigh (NC); On-site; USD 180,000 - 260,000; Full time

Job summary

Cerebras Systems is seeking a deeply technical engineering leader for its on‑field Kernel Reliability team in Raleigh, NC. You will guide a high‑performing team to enhance the reliability of our compute clusters and production services, while shaping the technical roadmap and staying close to the codebase.

You will drive failure analysis tooling, partner with ASIC/HW teams, and mentor engineers to deliver robust, scalable solutions for real‑time AI workloads.

Qualifications

• 6+ years in software engineering, with leadership in reliability, debugging or failure analysis.
• Experience leading teams responsible for SW/HW reliability and diagnostic tooling.
• Strong background in parallel/distributed programming and architectures.

Responsibilities

• Provide hands-on technical leadership and set the technical vision for kernel-centric reliability.
• Improve tooling for failure analysis and reduce downtime after incidents.
• Collaborate with SW, ASIC, and HW teams to debug and harden systems.
• Mentor engineers and grow a high-caliber reliability team.

Skills

6+ years software engineering

3+ years leading teams in SW/HW reliab

Parallel & distributed programming

Leadership & collaboration

Tools

Debug tools

Profiling tools

Job description

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry‑leading training and inference speeds; over 10 times faster than GPU‑based hyperscale cloud inference services.

This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real‑time iteration and increasing intelligence via additional agentic computation.

Cerebras works with the leading model labs, global enterprises, and cutting‑edge AI‑native startups. OpenAI recently announced a multi‑year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra‑high‑speed inference.

About The Role

We're looking for a deeply technical, hands‑on engineering leader for our on‑field Kernel Reliability team. You will lead a high performing team to tackle a critical challenge: improving the reliability of our advanced compute clusters and the underlying inference, training, and internal production services. In this role, you'll set the technical vision while staying close to the code and designing solutions that will scale to our exponentially growing system production and software service offerings. If you have proven expertise in software or hardware reliability, diagnostic tool building, or failure analysis and debugging, we want to hear from you.

Responsibilities

• Provide hands‑on technical leadership, owning the technical vision and roadmap for the kernel‑centric reliability of our internal and customer‑facing systems
• Assist System and Cluster Operations teams on reducing system and service downtime after failure by providing tooling and manual intervention for failure analysis and diagnostic
• Work with the Debug Team to enhance debug tools with the goal of speeding up failure analysis
• Collaborate with SW teams to improve the software stack, including Kernels, to improve on‑field debugging and failure analysis
• Work with the ASIC and HW architecture teams to codesign the next generation architectures with reliability and ease of debug in mind
• Lead, mentor, and grow a high‑caliber team of engineers, fostering a culture of technical excellence and rapid execution.

Skills & Qualifications

• 6+ years in software engineering, with 3+ years leading teams in SW/HW reliability, debug, diagnostic, failure analysis or related fields
• Expertise in parallel and distributed programming (message passing, multicore, GPU, embedded, etc.), debug and diagnostic tool development or expert usage (debuggers, core dump handling, code sanitizers, etc.), experience debugging distributed and parallel applications (deadlocks, livelocks, race conditions, etc.), deep understanding of computer architectures (instruction pipelining, multithreading, networking, etc.)
• Operations & Monitoring: Strong background in monitoring and reliability engineering (incident response, post‑mortem analysis, etc.)
• Leadership & Collaboration: Demonstrated ability to recruit and retain high‑performing teams, mentor engineers, and partner cross‑functionally to deliver customer‑facing products.

Why Join Cerebras

• Build a breakthrough AI platform beyond the constraints of the GPU.
• Publish and open source their cutting‑edge AI research.
• Work on one of the fastest AI supercomputers in the world.
• Enjoy job stability with startup vitality.
• Our simple, non‑corporate work culture that respects individual beliefs.

Find out more about what it's like to work at Cerebras here!

Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.

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