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Software Development @ 7 Linux @ 4 Hiring @ 4 Communication @ 7 Parallel Programming @ 7 Debugging @ 4 API @ 4 macOS @ 4 CUDA @ 4 GPU @ 4Details
We are hiring senior engineers to work on the CUDA driver, a core component of our platform for accelerating general purpose computation on the GPU. Our team delivers features and improvements to better realize the potential of NVIDIA hardware for a growing range of computational workloads, ranging from deep learning, scientific computation, self-driving cars, video games, and virtual reality.
CUDA helps define a unified programming model across a range of system configurations and hardware capabilities accomplished through CUDA driver interaction with GPU hardware, kernel mode drivers, and the operating system. This role incorporates strong system software programming skills, a detailed understanding of operating systems and kernel programming, hardware architecture, as well as excellent communication and planning skills. You will work closely with both hardware engineers and other software engineers to craft, develop, debug and deploy many functional aspects of NVIDIA hardware and mobile system-on-chip (SOC) devices!
Responsibilities
- Develop Software on Pre-Si environments (Simulation/Emulation)
- Own and drive CUDA enablement for new Silicon and Architecture
- Work with software, hardware and relevant teams to develop, stabilize and productize CUDA features for new chips and systems
- Promote, architect, and implement new features, as well as own contribution to bring up of CUDA on new chips
- Help define forward-looking improvements to the CUDA APIs and programming model, while driving development efforts across multiple teams
- Write effective, maintainable, and well-tested code
- Develop code for multiple operating systems
Requirements
- BS or MS degree in Computer Engineering, Computer Science, Electrical Engineering or equivalent experience
- 8+ years of relevant systems software development experience
- Strong C programming skills, knowledge of parallel programming
- Excellent knowledge of computer system architectures
- Experience with operating system interfaces for threads, process control, and virtual memory
- Experience writing and debugging multithreaded programs
- Background working with large codebases
- Deep understanding of technology and passion for the work
- Good written communication and strong collaborative skills with ability to guide and influence across groups
Ways to Stand Out
- Understanding of system-level architecture such as interconnects, memory hierarchy, interrupts, and memory-mapped IO
- Knowledge of memory coherence and consistency models
- Background with kernel mode development
- Experience with Windows, Linux, or macOS driver development
- Some familiarity with C++, CUDA experience
Benefits
You will be eligible for equity and benefits. NVIDIA fosters a diverse and equal opportunity work environment with strong commitments to non-discrimination.