Staff Engineer leading FS Analysis discipline at Northrop Grumman. Driving technical excellence and process improvements across aerospace and defense engineering teams.
About the role
- 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.
Benefits
- meaningful equity
- benefits
- 401k
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