Senior Software Engineer, CUDA UMD - Graphs and GPU Sharing

NVIDIA Corporation
Santa Clara, CA, United States
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Compensation
$184,000.0 - $287,500.0
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Computing Platforms C++ (Programming Language) Nvidia CUDA Computer Programming Software Debugging Linux Device Drivers Video Game Development Scientific Computating Software Engineering System Software
+8 more
Virtual Memory Multithreading Virtual Reality Deep Learning Parallel Computation Information Technology Code Testing Codebase

Job description

As a member of our team, you will use your design abilities, coding expertise, and creativity to deliver the best compute platform in the world. You will craft elegant solutions to exciting problems and shape the future direction of CUDA as you collaborate with your peers across NVIDIA.

  • Evangelize, architect, and implement new features
  • Coordinate and drive development efforts across multiple teams
  • Help define forward-looking improvements to the CUDA APIs and programming model
  • Extend important CUDA programming models and functionality such as CUDA Graphs and MPS (Multi-Process Service)
  • Write effective, maintainable, and well-tested code
  • Develop code for multiple operating systems

Requirements

Are you a motivated system software engineer with a deep understanding of device drivers who has phenomenal C/C++ skills? If so, this role might be for you. We are looking for a seasoned software professional to work on the CUDA Driver, a core component of our platform for accelerating general purpose computation on the GPU. You will be an integral part of a team that 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, data science and self-driving cars to video games and virtual reality., * BS or MS degree in Computer Science, Electrical Engineering or related field (or equivalent experience)

  • Strong C and C++ programming skills
  • Minimum of 8-10 years of related development experience
  • Experience driving projects across multiple teams
  • Experience working with large codebases
  • Background with operating system interfaces for threads, process control, and virtual memory
  • Experience writing and debugging multithreaded programs
  • Good written communication as well as presentation skills

Ways to stand out from the crowd:

  • Prior experience with parallel computing - preferably writing CUDA Programs or Libraries that use CUDA
  • 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 Linux Systems Software development

Benefits & conditions

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.

About the company

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing - with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. We’re looking to grow our company, and form teams with the smartest people in the world. Join us at the forefront of technological advancement.

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

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