What we need to see: Bachelor's, Master's, or higher degree in Computer Engineering, Computer Science, Applied Mathematics, or related computing-focused degree (or equivalent experience) 5+ years of relevant software development experience. Excellent Python programming skills, software design, and software engineering skills Experience working with deep learning frameworks like PyTorch and HuggingFace Experience profiling and debugging performance at all levels - Python runtime, PyTorch internals, and GPU utilization metrics Awareness of the latest developments in LLM architectures and LLM inference techniques Proactive and able to work without supervision Excellent written and oral communication skills in English Ways to stand out from the crowd: Contributions to inference frameworks such as TensorRT‑LLM, vLLM, SGLang, or similar systems Demonstrated expertise in performance modeling, memory optimization, distributed model execution or GPU execution workflows Hands‑on experience with NVIDIA profiling tools (Nsight Systems, PyTorch Profiler, custom benchmarking harnesses) Strong grasp of the trade‑offs shaping inference efficiency: compute vs. memory, scheduling vs. batching, latency vs. throughput Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com. #LI-Hybrid
