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 research teams to define feature specifications and build the next generation of AI coding and profiling agents and services.
- 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 for both external and internal customers.
- Mentor engineers and review code and design.
What we need to see:
- B.S. (or equivalent experience) in Computer Science with 12+ years of industry experience.
- Experience in large-scale user-facing application development using web/cloud services.
- Experience with full-stack web UI development using React, JavaScript, HTML, and CSS.
- 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 building either agent workflow and harness or sandboxing for agent or GPU environment in the cloud.
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.
- GPU profiling, benchmark performance in a consistent and repeatable way.
- Proficiency in Rust.
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 224,000 USD - 356,500 USD.You will also be eligible for equity and benefits.
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.Skills Required
- Bachelor’s degree in Computer Science or equivalent experience
- 12+ years of industry experience
- Experience developing large-scale, user-facing applications using web or cloud services
- Full-stack web UI development experience with React, JavaScript, HTML, and CSS
- Familiarity with Kubernetes, Infrastructure as Code, and AWS
- DevOps experience, including CI/CD, monitoring, and alerts
- Proficiency in Python
- Strong communication and cross-functional collaboration skills
- Experience building agent workflows or harnesses, or sandboxing agent or GPU environments in the cloud
- Experience writing CUDA code and optimizing CUDA kernels
- Experience with Kata Containers or another VM-based container runtime
- Experience with GPU profiling and repeatable benchmark performance measurement
- Proficiency in Rust
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
