Requirements:
- 5+ years of experience in deep learning model implementation, software development, and performance optimization.
- BSc, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, Physics, or a related technical field, or equivalent practical experience.
- Proficiency in Python, with extensive hands-on experience using at least one major deep learning framework (e.g., PyTorch, TensorFlow, JAX).
- Strong problem-solving and analytical skills, with a proven track record in debugging, performance tuning, and workload optimization.
- Experience with deep learning compilers (e.g., PyTorch’s torchcompile, XLA, or other similar technologies).
Nice to haves:
- Experience with running large-scale workloads in HPC clusters.
- Knowledge and passion for DevOps/MLOps practices for Deep Learning-based product’s development.
- Solid understanding of Linux environments and containerization technologies such as Docker.
- Familiarity with GPU programming or parallel computing.
What you'll be doing:
- Profile, analyze, and optimize the performance of deep learning models and workloads on groundbreaking hardware and software platforms.
- Develop tooling for profiling and microbenchmarking of DL workloads running compiled models uncovering optimization opportunities.
- Collaborate with teams across NVIDIA to provide performance insights and recommendations that improve the design and efficiency of DL frameworks and workloads.
- Own the development and implementation of standard methodologies for compiling, testing, and deploying high-performance deep learning models.
- Conduct performance benchmarking on enterprise-grade GPU clusters and pre-release hardware, driving improvements to NVIDIA’s DL software stack and hardware roadmap.
Perks and benefits:
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most hard-working and forward-thinking people in the world working for us. If you're creative and autonomous, we want to hear from you! We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.