Description
Join the NVIDIA Developer Tools team and empower engineers throughout the world developing groundbreaking products in Automotive, VR, Gaming, Deep Learning, and High Performance Computing.
We are looking for a senior software engineer to join our efforts to advance our compute debugger products to the next level. The position will be part of a dynamic, worldwide team that develops and maintains and enhances a portfolio of debug tools and libraries that are hosted and targeting OSes including Windows, Linux, and other embedded system real time OSes (RTOS).
What you’ll be doing:
You will apply your knowledge of debuggers, binary instrumentation and computer architecture to enhance existing compute debugger tools and libraries, and extend them to new use cases. You should be comfortable working in C, C++, Python and assembly on a wide range of supported platforms: Windows, Linux, and embedded real time OSes. You should also be comfortable interacting with different development teams, and have an eagerness to learn about new compute and graphics drivers, GPU architectures and operating systems. You will:
- 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.
- Document requirements and designs, and review documents with teams throughout NVIDIA.
- Develop the compute debugger tools for GPUs running on Linux, Windows, and embedded operating systems.
- Effectively estimate and prioritize tasks in order to create realistic delivery schedules.
- Provide peer reviews to other engineers, including feedback on performance, scalability and correctness.
- Mentor junior engineers.
What we need to see:
- 8+ years of experience
- BS or MS in Computer Science or equivalent experience
- Strong computer science fundamentals - algorithms and data structures, programming languages, parallel computing, and system software.
- Strong programming ability in C, C++, Assembly Language and scripting languages
- Excellent knowledge of computer architecture
- Ability to self-manage, communicate, and adapt in a fast paced, high demand environment with changing priorities and direction
- Excellent communication and interpersonal skills along with the ability to work in a dynamic and distributed team.
Ways to stand out from the crowd:
- Expert knowledge in GPU architectures and GPU programming.
- Knowledge of CUDA programming
- Experience and/or interests in creating developer tools like debuggers and profilers.
- Masters or PhD in Computer Science, Mathematics, or related engineering fields.