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Capgemini
Candidates need strong C#, ASP.NET and PowerShell skills, deep SharePoint and Office 365 knowledge, and experience with Azure AD, single sign-on and agile development. Good communication skills are needed to train users and speak with clients at every level.
SharePoint, OneDrive, Office 365, Microsoft Teams, Power BI, Outlook
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
GC AI
5+ YOECandidates need 5+ years building production software, with strong TypeScript and React skills and experience with Microsoft Office add-ins, VS Code extensions or similar embedded apps. They also need knowledge of real-time collaboration and document manipulation and a record of shipping polished user-facing features.
Microsoft Word, Office.js, Microsoft Graph API, VS Code, Cursor
Waabi
5+ YOECandidates need a BS, MS or PhD in a related field and at least 5 years of industry experience. They must have deep expertise in state estimation, SLAM and multi-sensor fusion, plus strong modern C++ or Rust and Python skills.
Rust, C++, Python, GTSAM, Ceres Solver, g2o
Cerebras Systems
8+ YOECandidates 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
Cerebras Systems
5+ YOECerebras 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
9 companies