Senior Software Engineer
4 weeks ago
NVIDIA is seeking a highly skilled Senior Software Engineer to join its GPU-accelerated deep learning software team. As a key member of this team, you will be responsible for developing and enhancing functionalities within the GenAI-Perf, Triton Performance Analyzer, and Triton Model Analyzer tools.
Key Responsibilities:
- Develop and enhance functionalities within the GenAI-Perf, Triton Performance Analyzer, and Triton Model Analyzer tools.
- Collaborate with researchers and engineers to understand their performance analysis needs and translate them into actionable features.
- Collaborate closely with cross-functional teams including software engineers, system architects, and product managers to drive performance improvements throughout the development lifecycle.
- Responsible for setting up, executing, and analyzing the performance of LLM, Generative AI, and deep learning models.
- Develop and implement efficient algorithms for measuring deep learning throughput and latency, benchmarking large language models, and deploying models.
- Integrate various tools to create a unified and user-friendly experience for deep learning performance analysis.
- Automate testing processes to ensure the quality and stability of the tools.
- Contribute to technical documentation and user guides.
Requirements:
- Bachelor's, Masters, or PhD in Computer Science, computer architecture, or related field.
- 4+ years of experience in distributed systems programming.
- Excellent Python programming and software design skills, including debugging, performance analysis, and test design.
- Experience with deep learning algorithms and frameworks, especially Large Language Models and frameworks such as PyTorch, TensorFlow, TensorRT, and ONNX Runtime.
- Excellent troubleshooting abilities spanning multiple software (storage systems, kernels, and containers).
- Experience contributing to a large open-source project, including use of GitHub, bug tracking, branching, and merging code.
- Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP) and experience building and deploying cloud services using REST, gRPC, protobuf, JSON, and related technologies.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.
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