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NVIDIA

Senior System Software Engineer, CUDA - Tegra

NVIDIA is hiring a Senior System Software Engineer, CUDA - Tegra in Bengaluru, India. Level rates it ; you can apply on NVIDIA.

Level's read on this job

  • Builds AI ●●●● is how Level rates this software engineer role: the job is building AI systems.
  • The posting mentions CUDA, Linux and Qnx among its tools and skills.
  • Level classes it as a senior role.
  • NVIDIA has 2,700+ other open roles on Level.

AI in this role

Develop and maintain CUDA driver features and system software for NVIDIA Tegra platforms to support parallel computing and edge AI.

CUDALinuxQnx
system-programmingcparallel-computingrobotics

We are looking for an experienced software engineer to contribute towards the CUDA driver, a core component of the CUDA parallel computing platform and programming model developed by NVIDIA for general computing on graphical processing units (GPUs). The candidate must have the ability to prioritize well, communicate clearly, work across multiple aspects of the project, and juggle responsibilities with speed and agility. We are seeking a highly motivated individual who is looking to grow their career in an innovative, fast paced environment.

What you'll be doing:

As a part of our team, you will apply your expertise to design innovative solutions in a critical piece of system software at NVIDIA. Specifically -

  • Build and maintain features in CUDA for NVIDIA Tegra platforms

  • Contribute towards all aspects of SDLC, and collaborate across multiple teams

  • Write effective, maintainable, and well-tested production level code

  • Participate in the development of proprietary and open computing standards

  • Contribute to development of next-generation GPUs in collaboration with HW teams at NVIDIA

What we need to see:

  • BS/MS in Computer Science or related field or equivalent 8+ years of demonstrated experience leading teams in a lead role

  • Hands on experience with Robotics and with AI Models for edge inference

  • Strong knowledge of C/C++, computer architecture and OS fundamentals (Linux, QNX or similar modern OS) and SW development life cycle

  • Excellent debugging and problem-solving skills

  • Great teammate with good communication and presentation skills

  • Ability to lead from the front, and work independently with minimal direction

Ways to stand out from the crowd:

  • Experience with CUDA, System Programming

  • Expertise in Parallel Programming

  • Development of AI models and their performance instrumentation, Familiarity with AI tools

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us and, due to outstanding growth, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

How we rate this

Senior System Software Engineer, CUDA - Tegra at NVIDIA rates 80 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

System ProgrammingCParallel ComputingRoboticsCUDALinuxQnx

Also common in software engineer jobs at this level

Pay

Typical software engineer job
$167k

This posting doesn't list pay. Use the typical software engineer figure when pay comes up. See software engineer jobs

Questions you could be asked

  1. Tell me about a project where system programming was part of your work. What did you do?
  2. Tell me about a project where c was part of your work. What did you do?
  3. Tell me about a project where parallel computing was part of your work. What did you do?
  4. Tell me about a project where robotics was part of your work. What did you do?
  5. Walk me through how you've used CUDA in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: System Programming, C, Parallel Computing, Robotics, and CUDA. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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