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# Deep Learning Compiler Engineer

- **Company:** NVIDIA Ltd.
- **Location:** Austin, TX, United States
- **Experience:** Expert
- **Salary:** $152,000.0 - $241,500.0
- **Contract:** Permanent contract
- **Skills:** C (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Artificial Neural Networks, C++ (Programming Language), Nvidia CUDA, Computer Programming, Computer Engineering, Software Debugging, Python (Programming Language), Language Modeling, OpenCL, Performance Tuning, Software Engineering, Speech Recognition, Scripting, Graphics Processing Unit (GPU), Computer Network Operations, Pytorch, Virtual Reality, Deep Learning, LLVM, Information Technology, Optimization Algorithms
- **Published:** August 10, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-deep-learning-compiler-engineer-austin-tx--677fc468-cfad-4224-8bfc-b2d8754207bb

## About the Role

* Bachelors, Masters or Ph.D. in Computer Science, Computer Engineering, 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 your own development efforts.
 * Excellent C/C++ and Python programming and software design skills, including debugging, performance analysis, and test design.
 * Strong interpersonal skills are required along with the ability to work in a dynamic product-oriented team.

Ways to stand out from the crowd:

 * Proficient in CPU and/or GPU architecture. CUDA or OpenCL programming experience.
 * Experiences in systems with constrained resources, such as embedded platforms, small memory size, and cross compilation.
 * Experience with the following technologies: MLIR, XLA, TVM, LLVM, deep learning models and algorithms, and deep learning frameworks, such as PyTorch.
 * GPU kernel generation with high performance and fast build time.
 * A track record of success in mentoring junior engineers and interns is a bonus., Algorithms, Application Programming Interface (API), Artificial Intelligence (AI), Autonomous Driving Systems, C Programming Language, C++ Programming Language, CUDA (Compute Unified Device Architecture), Computer Engineering, Computer Science, Debugging Skills, Deep Learning, GPU (Graphics Processing Unit), Hardware Architecture, Inference Engine, Just in Time (JIT), Kernel Programming, Memory Hardware, Modeling Languages, Network Operations Center, Network Performance/Analysis, Neural Networks, OpenCL, Optimization Algorithm, Performance Analysis, Performance Tuning/Optimization, Python Programming/Scripting Language, Robotics, Software Design, Software Engineering, Speech Recognition, Team Building, Technical Recruiting, Test Design, Time Management, Virtual Reality



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