System Software Engineer at a stealth-mode startup building infrastructure for AI data centers. Collaborating across technology stacks to influence foundational design and optimization.
Responsibilities
Collaborate across the stack to influence the design of our foundational technology, ensuring it meets the needs of next-generation AI models.
Identify and resolve performance bottlenecks in distributed training and inference workloads through deep-dive analysis of the software-hardware interface.
Conduct rigorous performance benchmarking and characterization on multi-node clusters.
Requirements
Strong proficiency in C++ and Python, with a deep understanding of systems programming fundamentals (memory management, concurrency, OS internals).
Proficient in a Linux development environment.
Experience with GPU programming (CUDA) and performance optimization for parallel architectures.
Familiarity with distributed AI frameworks (PyTorch, JAX, or DeepSpeed) and/or inference engines (vLLM, SGLang, Dynamo/TRT-LLM).
Hands-on experience with large-scale cluster orchestration and telemetry tools.
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