Software Developer at AMERICAN SYSTEMS creating mission - critical solutions for naval aviation. Collaborating with talented professionals to enhance national security and drive technological advancement.
About the role
- Senior Software Engineer optimizing AI workloads using ML techniques at NVIDIA. Focus on performance optimization across large GPU and CPU clusters in AI systems.
Responsibilities
- Design and implement resource allocation and combinatorial optimization techniques to optimize LLM models at datacenter scale.
- Research, develop, and deploy AI/ML techniques to optimize large-scale Deep Learning training and inference on NVIDIA supercomputers and distributed systems.
- Build and productionize ML-based tools for performance prediction and optimization.
- Develop and deploy a scalable, reliable data curation pipeline capable of handling complex data types.
- Collaborate across hardware and software teams to deliver valuable performance analysis insights.
- Lead performance test planning, establish performance targets for new technologies and solutions.
Requirements
- PhD or Master's degree in Computer Science, Software Engineering, or equivalent experience
- 4+ years of experience applying machine learning techniques to computer architecture and system optimization problems
- Hands-on experience developing and deploying various learning algorithms (e.g., reinforcement learning, offline RL, supervised learning)
- Proficiency in building and using ML models with leading frameworks such as PyTorch, TensorFlow, or JAX
- Proven ability to apply GNNs/transformers-based optimization to PyTorch model graph and Kineto execution traces
- Expertise combining knowledge of NVIDIA GPUs, the CUDA library, and deep learning frameworks (TensorFlow/PyTorch) with networking concepts
- Strong programming capabilities in Python, Bash, and C++.
- A collaborative teammate with effective communication and interpersonal abilities.
Benefits
- Competitive salaries
- Equity
- Comprehensive benefits package
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