Job description

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. As part of the growing Developer Tools team, you will work on tools like Nsight Operator, Nsight Cloud, Nsight Systems, and more. Our work is based on years of expertise collecting detailed trace and sampling data, which we now apply to the ever growing in complexity cloud and cluster profiling use cases. The position includes elements of systems design, and working across the full product feature lifecycle: from prototypes to user demos. What you will be doing: Join the Developer Tools team as a senior software engineer to work on profiling tools within the growing Nsight family. Design and implement product features that would help make it possible and easy to collect, analyze, and visualize performance profiling data in cluster and cloud environments. Communicate across multiple teams to collect and understand the requirements, user needs, and expectations. Understand how the underlying hardware and software works, and use that knowledge to deliver valuable features to the users. Collaborate with team members across multiple time zones in a dynamic, high-energy work environment. Interact with internal and external users, help them get the maximum value out of our products, and deliver their feedback to the product team. What we need to see: Excellent problem solving, collaborative, and interpersonal skills. Experience working in distributed teams is welcome. Fluency in C , Rust, or Go (with willingness to write some features in C ). Track record of working with Kubernetes and in distributed environments. Strong understanding of algorithms and computer architecture. BS or MS in EE, CE, CS, Systems Engineering (or equivalent experience) 5 years of experience in a related software position. Ways to stand out from the crowd: Experience with GPUs, CUDA, HPC, clusters, networking, and performance optimization in cloud environments. Participation in deployment and maintenance of microservices. Experience building web APIs, familiarity with GraphQL. Proficiency with Datadog, ClickHouse, and Grafana for observability, analytics, and dashboarding. Experience working in programming languages like Go and Rust. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until October 3, 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

Join the Developer Tools team as a senior software engineer to work on profiling tools within the growing Nsight family.
Design and implement product features that would help make it possible and easy to collect, analyze, and visualize performance profiling data in cluster and cloud environments.
Collaborate with team members across multiple time zones in a dynamic, high-energy work environment.
Interact with internal and external users, help them get the maximum value out of our products, and deliver their feedback to the product team.
Excellent problem solving, collaborative, and interpersonal skills. Experience working in distributed teams is welcome.
Fluency in C , Rust, or Go (with willingness to write some features in C ).
Track record of working with Kubernetes and in distributed environments.
Strong understanding of algorithms and computer architecture.
BS or MS in EE, CE, CS, Systems Engineering (or equivalent experience)
5 years of experience in a related software position.
Experience with GPUs, CUDA, HPC, clusters, networking, and performance optimization in cloud environments.
Participation in deployment and maintenance of microservices.
Experience building web APIs, familiarity with GraphQL.
Proficiency with Datadog, ClickHouse, and Grafana for observability, analytics, and dashboarding.
Experience working in programming languages like Go and Rust.
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until October 3, 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

airustgokubernetesgraphql

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Vision