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Lightmatter
10+ YOECandidates need a PhD in a related field, at least 10 years of research or industry experience, and deep machine learning systems knowledge. They should also have published academic work, understand GPUs and networking for AI, and have led a team.
GPUs, TPUs, Ethernet, InfiniBand, NVLink
Electronic Arts
20+ YOECandidates need 20+ years of development experience, including production ownership of distributed-training data input. They need expertise in custom PyTorch or similar stacks, FSDP and parallelism, multimodal streaming tools such as Ray Data or NVIDIA DALI, and profiling of I/O, CPU, memory and accelerators.
PyTorch, TorchTitan, JAX, MaxText, Megatron Core, NeMo
Huawei Technologies Canada Co., Ltd.
Candidates need strong systems programming skills in C++, Rust or Go and experience with distributed systems and database internals. A Master's or PhD in Computer Science, Computer Engineering, Mathematics or a related field is required.
PostgreSQL, pgvector, Milvus, Weaviate, LanceDB, DuckDB
Huawei Technologies Canada Co., Ltd.
Candidates need a strong understanding of modern AI architectures and AI accelerator hardware such as GPUs and TPUs. Hands-on kernel development experience with CUDA or Triton, plus LLM inference and profiling experience, is required; a PhD is an asset.
CUDA, Triton, TileLang, vLLM, SGLang, PyTorch
EnCharge AI
3+ YOECandidates need a Bachelor's or Master's degree in a related field and 3+ years of device driver development on Linux or Windows. Strong PCIe, kernel-mode C/C++ and low-level debugging skills are required.
gdb, perf, ftrace, dmesg, PCIe analyzers, Kubernetes
EnCharge AI
3+ YOEEnCharge AI needs candidates with 3+ years of compiler development, especially on AI or ML graph compilers, plus strong C++ or Python skills. A Bachelor's or Master's degree in a related field is required, and a Ph.D. is preferred.
MLIR, Torch-FX, PyTorch, TensorFlow
Veeda AI
Candidates need a bachelor's degree or equivalent hands-on experience in computer science or a related field. They need deep experience with PyTorch and large multi-node parallelism, and fluency in Python and C++/CUDA.
PyTorch, Megatron-Core, FSDP2, Nsight Systems, Nsight Compute, CUDA
Kraken
5+ YOECandidates need 5+ years of infrastructure engineering experience, including GPU or ML infrastructure in production. They also need Kubernetes and Linux skills, Python, experience with serving frameworks such as vLLM or Triton, and a track record of controlling compute costs.
Kubernetes, Linux, Python, vLLM, Triton Inference Server, TensorRT
Cerebras Systems
3+ YOECandidates need a PhD in machine learning or computer science with 3+ years of experience, or a master's with 4+ years. They need strong research impact, deep knowledge of modern ML architectures, and strong Python skills with PyTorch.
PyTorch, vLLM, SGLang, Triton, CUDA, Cerebras tools
Cohere: Cohere is the leading security-first enterprise AI company.
Cohere needs candidates currently enrolled in a post-secondary program and available for a full-time 3-6 month term. Required skills include Python, ML frameworks such as TensorFlow and JAX, distributed training, and Transformer-based models.
Python, TensorFlow, TF-Serving, JAX, XLA/MLIR, CUDA
Cohere: Cohere is the leading security-first enterprise AI company.
5+ YOECandidates need 5+ years of engineering experience running large-scale production infrastructure, especially distributed systems on Kubernetes with GPU workloads. Strong Linux, cloud platform, troubleshooting and performance skills are required, and experience in Golang, C++ or a similar high-performance language is a plus.
Kubernetes, Linux, GPU, GCP, Azure, AWS
9 companies