Join the NVIDIA Developer Tools team and empower engineers throughout the world developing groundbreaking products in Automotive, Gaming, Deep Learning, and High Performance Computing. See your efforts in action as developers use your products to debug their systems/applications. Innovate as you develop the debug capability of future generations of NVIDIA GPUs. Be a part of the team that brings new GPU technologies to market with sophisticated simulation/emulation systems and be among the first to breathe life into new silicon.
We are looking for a passionate and outstanding IDE software engineer to join the Developer Tools organization at NVIDIA as we enhance our existing suite of developer tools to support new customer use cases for debugging, including data visualization, parallel language visualization, and AI-assisted code development. Come be part of our team!
What you'll be doing:
Architect, design, and implement solutions to integrate new debugger features into existing NVIDIA developer tools products.
Collaborate closely with research, libraries, and product teams at NVIDIA to identify debugger features that can effectively improve developer productivity and efficiency.
Investigate performance bottlenecks in existing tooling, and architect, design and implement solutions that improve overall tooling performance.
Develop solutions to ensure that tooling features work across multiple versions of supported IDEs (Visual Studio, Visual Studio Code, etc.)
What we need to see:
Bachelor’s in Computer Science, Mathematics, or related engineering fields or equivalent experience.
8+ years of experience.
In-depth knowledge of C++, JavaScript and TypeScript programming languages.
Experience with Electron, Node.js and React.
Strong computer science fundamentals - algorithms and data structures, programming languages, parallel computing, and system software.
Experience with version control systems (Git, Perforce, etc.)
Excellent communication and interpersonal skills along with the ability to work in a dynamic and distributed team.
Ways to stand out from the crowd:
Masters or PhD in Computer Science, Mathematics, or related engineering fields.
Expert knowledge in GPU architectures and GPU programming.
Experience and/or interests in creating developer tools like debuggers and profilers.
Experience developing user interfaces for IDEs.
NVIDIA is widely regarded as one of the most innovative technology companies in the industry, and we have some of the most forward-thinking and versatile people in the world. Are you creative and autonomous? Do you love a challenge and make a difference? If so, we want to hear from 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 for Level 4, and 224,000 USD - 356,500 USD for Level 5.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 a diverse 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.Similar Jobs
.png)
What you need to know about the Austin Tech Scene
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
