Software Engineer, Kernel Reliability
Cerebras
Sunnyvale, CAFresher5m agovia LinkedIn
This job at a glance
- Who can apply
- New grads, no experience needed
- Must know
- Product managementPythonC++C
- Nice to have
- OperationsIncident responseEmbedded systemsNetworking
- Work
- On-site in Sunnyvale
- Pay
- Not stated by the employer.
- Skill demand
- Python69%C++31%C11%Product management7%of 45 similar entry-level jobs posted in the US this week
- Listed
- Nov 6, 2026 · still open
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About the Role
We are seeking a deeply technical, hands-on software engineer to join our Kernel Reliability team. This role focuses on improving the reliability of our advanced compute clusters and underlying inference, training, and internal production services. You will work closely with the code and design scalable solutions for our rapidly growing system production and software service offerings. If you have strong fundamentals in systems, debugging, and failure analysis, and enjoy building tools and solving complex reliability problems, we encourage you to apply.
Key Responsibilities
- Contribute to the technical roadmap and execution for kernel-centric reliability of our internal and customer-facing systems.
- Partner with System and Cluster Operations teams to reduce system and service downtime after failure through tooling, analysis, and hands-on debugging support.
- Work with the Debug Team to enhance debug tools with the goal of speeding up failure analysis.
- Collaborate with software teams to improve the software stack—including kernels—to improve on-field debugging and failure analysis.
- Work with ASIC and hardware architecture teams to co-design next-generation architectures with reliability and ease of debug in mind.
- Participate in incident response, root-cause analysis, and post-mortems; drive follow-ups that measurably improve reliability over time.
Requirements & Tech Stack
- Strong programming skills in C/C++ and Python.
- Solid foundations in operating systems, computer architecture, and systems programming fundamentals.
- Ability to debug complex issues using logs, traces, and standard debugging workflows; interest in root-cause analysis.
Preferred Skills & Qualifications
- Exposure to parallel and distributed programming (message passing, multicore, GPU, embedded, etc.).
- Experience building or using debug/diagnostic tools (debuggers, core dump handling, tracing, sanitizers, profilers, etc.).
- Familiarity with debugging distributed and parallel applications (deadlocks, livelocks, race conditions, etc.).
- Knowledge of computer architecture concepts (instruction pipelining, multithreading, networking, memory systems, etc.).
- Operations & Monitoring: familiarity with monitoring, incident response, and post-mortem culture.