Cerebras Systems
Staff GPU Inference SDET
Sunnyvale, CA · Staff+
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About the role
- You will be the primary technical anchor ensuring production-grade reliability, fault isolation, and peak inference performance across accelerated GPU infrastructure.
Responsibilities
- Build GPU Release Qualification Systems:
- Design and implement automated test automation frameworks, regression gates, and release qualification pipelines for the complete GPU inference stack-spanning custom API services, model-serving workers, container runtimes, serving engines, driver stacks, and firmware.
- Build automated workload replay and benchmarking tools to validate GPU performance models. Track critical serving metrics including Time-to-First-Token (TTFT), Inter-Token Latency (ITL), request throughput, tail latency (P99), and capacity efficiency.
- Build validation infrastructure to ensure model accuracy, precision stability (FP16/FP8/quantization), determinism, and output correctness across software updates, kernel fusions, and hardware revisions.
- Build automated workload replay and benchmarking tools to validate GPU performance models.
Requirements
- GPU & Cluster Infrastructure Expertise:
- Expert-level Python programming skills with extensive experience designing custom test automation frameworks, diagnostic tooling, and CI/CD integration.
- Strong proficiency with container orchestration tools (e.g., Kubernetes, Slurm, Ray) and high-performance cluster interconnects (e.g., InfiniBand, RoCE, NCCL).
- Proven background in root-cause analysis across software/hardware boundaries, stress testing, and node failure simulation in distributed systems.
- Direct experience with either AMD (ROCm / HIP) or NVIDIA software stacks.
- Familiarity with low-level kernel profiling tools (PyTorch Profiler, NVTX, ROCm profilers) or C++
Skills
- Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups.
Company info
- 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.
This listing is sourced directly from Cerebras Systems's careers page and normalized into a canonical job model.