Pragmatike
CUDA Kernel Engineer (Remote US)
Cambridge
Sponsorship not specifiedDetected 91 days ago
C++SassDistributed SystemsDatabricksMachine LearningFPGAResearch
About the role
- Analyze and eliminate performance bottlenecks including warp divergence, uncoalesced memory access, register pressure, and PCIe transfer overhead.
- Improve GPU memory pipelines (global, shared, L2, texture memory) and ensure proper memory coalescing.
Responsibilities
- Lead AI initiatives, optimize pipelines, and directly impact production AI systems at scale.
- Design, implement, and optimize custom CUDA kernels for NVIDIA GPUs, with a focus on maximizing occupancy, memory throughput, and warp efficiency.
- Collaborate closely with AI systems, model acceleration, and backend distributed systems teams.
- We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information.
Requirements
- English (required)
- Familiarity with C++, CUDA runtime APIs, and GPU debugging/profiling tooling.
- Experience with multi-GPU or distributed GPU systems (NCCL, NVLink, MIG).
- Knowledge of model inference optimization (TensorRT, CUDA Graphs, CUTLASS).
Skills
- Profile GPU workloads using tools such as Nsight Compute, Nsight Systems, nvprof, and CUDA‐MEMCHECK.
- Background in GPU acceleration for ML frameworks or HPC workloads.
Compensation
- Competitive salary & equity options
Benefits
- Competitive salary & equity options
- Health, Dental, and Vision
Company info
- Own critical systems while collaborating with world-class engineers.
- Pragmatike is hiring on behalf of a fast-growing AI startup recognized as a Top 10 GenAI company by GTM Capital, founded by MIT CSAIL researchers.
- We are searching for a CUDA Kernel Engineer who has hands-on experience developing and optimizing NVIDIA CUDA kernels from scratch.
- You will work on the GPU performance layer powering large-scale, high-throughput AI systems used by Fortune 500 customers.
Equal opportunity
- Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination.
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