Software Engineer, CUDA Deep Learning Systems
NVIDIA$124,000 – $195,500
Listed on NVIDIA’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
This role involves optimizing deep learning systems at the intersection of CUDA programming and AI workloads, from single-GPU to supercomputer scale. It suits experienced systems engineers who enjoy low-level performance work and want to push the boundaries of what's possible on modern accelerators.
Our summary, not NVIDIA’s wording. The full posting is on their site.
Skills this role names
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What they ask for
Required
- BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or related field, or equivalent experience
- 2+ years of relevant industry experience or equivalent academic experience
- Strong proficiency in C++ and Python
- Solid background in Deep Learning fundamentals with focus on transformers
- Strong understanding of distributed computing principles and multi-node scaling
- Proven experience in systems programming, computer architecture, and low-level performance optimization
- Hands-on experience with CUDA programming, kernel optimization, and workload profiling
Nice to have
- Deep expertise in performance internals and execution graphs of major deep learning frameworks
- Hands-on experience with communication libraries and distributed machine learning techniques
- Knowledge of numerical methods and low-precision arithmetic
- Background in deep learning compilers and ML systems
- Experience designing and implementing agentic AI systems