Staff GPU Inference SDET
Toronto, ONCerebras Systems
8+ ansCerebras Systems needs 8+ years of software test or infrastructure quality experience. Candidates must have hands-on GPU cluster bring-up experience, knowledge of LLM serving engines, expert Python and strong Kubernetes, Slurm or Ray skills.
Python, Kubernetes, Slurm, Ray, Prometheus, Grafana
Staff Software Engineer, GPU Inference
Toronto, ONCerebras Systems
8+ ansCandidates need 8+ years of software engineering experience with ownership of complex production systems. Strong C++ and Python, LLM inference serving experience (such as vLLM or TensorRT-LLM) and GPU performance knowledge are required.
vLLM, ROCm, HIP, PyTorch, Kubernetes, AMD Instinct GPUs
Applied Machine Learning Research Scientist
Toronto, ONCerebras Systems
4+ ansCandidates need a Bachelor's or Master's degree in a related field and 4+ years of ML experience. Strong Python and PyTorch skills, transformer knowledge and the ability to implement ideas from ML papers are required.
PyTorch, Python
Software Engineer, GPU Inference
Toronto, ONCerebras Systems
5+ ansCerebras Systems needs candidates with 5+ years of software engineering experience, including production inference work for large models. Strong C++ and Python, hands-on serving framework experience such as vLLM, and deep GPU performance knowledge are required.
vLLM, ROCm, PyTorch, Kubernetes, AMD Instinct GPUs, RCCL
Senior Runtime Engineer
CanadaCerebras Systems
3+ ansCandidates need 3+ years building high-performance or distributed systems software, strong C/C++ skills, and experience with multi-threading and memory management. A Bachelor's, Master's, or equivalent experience in Computer Science, Electrical Engineering, or a related field is required.
C, C++, PyTorch, Python
Full Stack LLM Engineer
Toronto, ONCerebras Systems
Candidates need a degree in computer science, engineering or a related field, plus experience with deep learning frameworks, C/C++ low-level optimization and compiler development such as LLVM or MLIR. Strong debugging and optimization skills, including work on NP-hard problems, are also expected.
PyTorch, TensorFlow, LLVM, MLIR, C++