Lead Cerebras’ developer relations team, shaping technical demos, developer programs, and product launches for its AI chip platform. Coach contributors and grow developer adoption through practical, technically grounded work.
Bring transformer models onto Cerebras AI accelerator hardware and optimize their inference performance. Develop MLIR compiler paths while improving model correctness, latency, throughput, and memory efficiency.
United States
CaliforniaHybridFull-timeJuniorMiddleNo degree requiredEnglish RequiredSupport EngineerResearching Cerebras AI hardware and software developments through hands-on demos, reproducible benchmarks, and evidence-based technical content.
Map machine learning training and inference algorithms to Cerebras AI chip architecture. Model performance bottlenecks, benchmark systems, and inform hardware-software co-design.
Develop high-performance runtimes and kernels that translate Core ML research into production software. Build and optimize software for Cerebras’ wafer-scale AI platform and machine learning systems.
