We are searching for a world-class Technical Manager for an exciting and fun role in our GPU Compute System Software organization. Our team delivers features and improvements to better realize the performance of NVIDIA software and hardware for a growing range of computational workloads, ranging from deep learning, scientific computation, and self-driving cars to video games and virtual reality.
You will lead a team that is working on performance analysis, benchmarking and tuning of GPU compute applications and system software, including user mode libraries and kernel mode driver components. User mode components include the CUDA driver, a core component of our platform for accelerating general purpose computation on the GPU. You will be solving meaningful problems working alongside some of the top valued diverse minds in GPU computing and systems software, doing what you enjoy. If this sounds like a fun challenge, we want to hear from you!
What you'll be doing:
Provide administrative and technical direction to 5-8 system software development engineers.
Make sure the team executes to perfection in delivering on customer and internal commitments
Drive and facilitate the planning, scheduling and execution of projects and activities of your team.
Establish relationships and trust through excellent execution and high quality of software development.
What we need to see:
You should have a Bachelor of Science or Master of Science degree in Computer Science, Electrical Engineering, or related field (or equivalent experience)
7+ years of experience developing and leading complex low-level or system software projects
3+ years of managing a team
Strong interpersonal, verbal and written communications skills with a capability to achieve objectives under tight deadlines
We need you to have experience managing multiple projects with competing priorities
Experience analyzing, debugging and tuning performance of complex system software stacks.
Need to demonstrate strong C programming skills with experience working with large codebases
Background with operating system interfaces for threads, process control, and virtual memory
Experience writing and debugging multithreaded programs
Ways to stand out from the crowd:
Prior Technical Management experience
Deep understanding of system level architecture, such as interconnects, memory hierarchy, interrupts, and memory-mapped IO
Knowledge of memory coherence and consistency models
Experience with kernel mode development
Experience with Windows, Linux, or macOS driver development
Some familiarity with C++
NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for phenomenal people like you to help us accelerate the next wave of artificial intelligence. 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're creative and autonomous, we want to hear from you!
The base salary range is 176,000 USD - 270,250 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
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.
