Senior Software Engineer - Compilers and Applied AI
Company: NVIDIA
Location: Austin, TX 78717
Salary: $184,000 - $287,500 a year
Type: Full-time
Posted: 2026-04-21
About this role
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
We build solutions to optimize all layers of the CUDA ecosystem, leading to class-leading speedups in modern high-performance workloads and models. We are looking for an outstanding Senior Software Engineer that can architect and implement these highly scalable solutions to different use-cases. As a member of the team, you will develop new innovative workflows, work on compiler- or runtime-driven solutions that accelerate critical workloads, generate optimal code patterns at scale, and other high-impact AI challenges. You will collaborate closely with internal NVIDIA software and hardware teams to push the latest developments into NVIDIA products.
What you'll be doing:
- Design and build high-performance optimization frameworks for the entire CUDA ecosystem.
- Co-design novel solutions with software, hardware and algorithm teams; influence and adopt new capabilities as they become available.
- Develop reproducible, high-fidelity evaluation frameworks covering performance, quality and developer productivity.
- Collaborate across the AI stack — from hardware through compilers/toolchains, kernels/libraries, frameworks, distributed training, and inference/serving.
What we need to see:
- Bachelor’s degree in Computer Science, Electrical Engineering, or related field (or equiv...