Cerebras · 2 days ago
LLM Inference Performance & Evals Engineer
Toronto, Ontario, Canada
Full-time
Onsite
Mid Level
3+ years expCerebras Systems builds the world's largest AI chip, providing industry-leading training and inference speeds. The role involves working on state-of-the-art models, validating and accelerating new ideas on wafer-scale hardware.
Artificial Intelligence (AI)ComputerHardwareSemiconductorSoftware
Responsibilities
Prototype and benchmark cutting-edge ideas: new attentions, MoE, speculative decoding, and many more innovations as they emerge
Develop agent-driven automation that designs experiments, schedules runs, triages regressions, and drafts pull-requests
Work closely with compiler, runtime, and silicon teams: unique opportunity to experience the full stack of software/hardware innovation
Keep pace with the latest open- and closed-source models; run them first on wafer scale to expose new optimization opportunities
Qualification
Required
3 + years building high-performance ML or systems software
Solid grounding in Transformer math—attention scaling, KV-cache, quantisation—or clear evidence you learn this material rapidly
Comfort navigating the full AI toolchain: Python modeling code, compiler IRs, performance profiling, etc
Strong debugging skills across performance, numerical accuracy, and runtime integration
Prior experience in modeling, compilers or crafting benchmarks or performance studies; not just black-box QA tests
Strong passion to leverage AI agents or workflow orchestration tools to boost personal productivity
Preferred
Hands-on with flash-attention, Triton kernels, linear-attention, or sparsity research
Performance-tuning experience on custom silicon, GPUs, or FPGAs
Proficiency in C/C++ programming and experience with low-level optimization
Proven experience in compiler development, particularly with LLVM and/or MLIR
Publications, repos, or blog posts dissecting model speed-ups
Contributions to open-source agent frameworks
Company
Cerebras
Cerebras Systems is the world's fastest AI inference. We are powering the future of generative AI.
501-1000 employees
Funding
Current Stage
Late StageTotal Funding
$1.82BKey Investors
Alpha Wave VenturesVy CapitalCoatue
2025-12-03Secondary Market
2025-09-30Series G· $1.1B
2024-09-27Series Unknown
Leadership Team
Andrew Feldman
Founder and CEO
Bob Komin
Chief Financial Officer
Recent News
globalventuring.com
2025-12-27
Crunchbase News
2025-12-26
2025-12-26
Company data provided by crunchbase