Senior Deep Learning Compiler Engineer
$152k - $242k • US, CA, Santa Clara
Posted 10d ago
About the job
NVIDIA is seeking a Deep Learning Compiler Engineer to join its Deep Learning Compiler (DLC) team. This role involves developing and optimizing compiler algorithms for deep learning networks, which are crucial for NVIDIA's inference engine across various platforms. The compiler is designed to deliver leading inference performance, fast build times, reduced memory footprints, and ease of use for the global deep learning community. You will collaborate with deep learning software framework and hardware architecture teams to accelerate the next generation of deep learning software, contributing to defining public APIs, performance analysis, and implementing compiler infrastructure techniques.
Responsibilities
- Analyze deep learning networks and develop compiler optimization algorithms.
- Collaborate with deep learning software framework and hardware architecture teams.
- Define public APIs, performance optimizations, and analysis.
- Craft and implement compiler infrastructure techniques for neural networks.
- Perform general software engineering work.
Requirements
- Bachelor's, Master's, or Ph.D. in Computer Science, Computer Engineering, or a related field, or equivalent experience.
- 3+ years of relevant work or research experience in performance analysis and compiler optimizations.
- Ability to work independently, define project goals and scope, and lead development efforts.
- Excellent C/C++ and Python programming and software design skills, including debugging, performance analysis, and test design.
- Strong interpersonal skills and ability to work in a dynamic, product-oriented team.
Benefits
- Highly competitive salaries
- Comprehensive benefits package
- Equity
- Eligibility for benefits