Job description

We are seeking a Senior Software Engineer to help build and improve AI Developer Tools connected through web APIs, SDKs, CLIs, and Agents. Apply your expertise with delivering user-focused cloud products that enable both rapid prototyping and the next generation of highly automated AI assisted CUDA development, from coding to profiling and performance fine-tuning. In this role, you will architect cloud solutions that leverage NVIDIA microservices and frameworks as well as ground-breaking AI applications and research to integrate deeply with developers’ work flows, accelerate the full product lifecycle of plan, code, test, debug, profile and fine-tuning. What you'll be doing: • Work closely with our Product and Design teams to define feature specifications and build the next generation of AI assisted coding and profiling services and skills. • Architect, design and develop high-performance, and responsive SaaS that improves developers’ workflows with AI, supporting a large number of concurrent developers with high scalability, reliability and cost efficiency. • Work with other engineering teams to align on corporate infrastructure strategies and help to improve or enhance existing services. • Mentor engineers and review code and design. What we need to see: • B.S. (or equivalent experience) in Computer Science with 8 years of industry experience. • Experience in large-scale user-facing application development using web/cloud services. • Familiar with Kubernetes, Infrastructure as Code, AWS. • Experience with DevOps including CI/CD, monitoring and alerts. • Proficiency in Python. • Strong communication skills to collaborate with cross-functional partners. • Familiar with either Linux virtualization to run isolated GPU workloads in the cloud or GPU profiling, benchmark performance in a consistent and repeatable way. Ways to stand out from the crowd: • Experience writing CUDA code and optimizing CUDA kernels. • Experience with Kata Container or any other VM-based container runtime. With competitive salaries and benefits, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you are enthusiastic about empowering new programmers to excel and experienced accelerated computing users to redefine an industry, this is the role for you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until September 5, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Requirements

Must-haves

Work closely with our Product and Design teams to define feature specifications and build the next generation of AI assisted coding and profiling services and skills.
Architect, design and develop high-performance, and responsive SaaS that improves developers’ workflows with AI, supporting a large number of concurrent developers with high scalability, reliability and cost efficiency.
Work with other engineering teams to align on corporate infrastructure strategies and help to improve or enhance existing services.
Mentor engineers and review code and design.
B.S. (or equivalent experience) in Computer Science with 8 years of industry experience.
Experience in large-scale user-facing application development using web/cloud services.
Familiar with Kubernetes, Infrastructure as Code, AWS.
Experience with DevOps including CI/CD, monitoring and alerts.
Proficiency in Python.
Strong communication skills to collaborate with cross-functional partners.
Familiar with either Linux virtualization to run isolated GPU workloads in the cloud or GPU profiling, benchmark performance in a consistent and repeatable way.
Experience writing CUDA code and optimizing CUDA kernels.
Experience with Kata Container or any other VM-based container runtime.
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until September 5, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aikubernetesawsci/cdpython

Platform: eightfold
Effort: medium