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NVIDIA

Senior System Software Engineer, DRIVE OS - Linux and QNX

NVIDIA is hiring a Senior System Software Engineer, DRIVE OS - Linux and QNX in Bengaluru, India. Level rates it ; you can apply on NVIDIA.

Level's read on this job

  • Little AI ●○○○ is how Level rates this software engineer role: aI is not part of the work.
  • Level classes it as a senior role.
  • NVIDIA has 2,700+ other open roles on Level.

AI in this role

NVIDIA's Deep Learning GPUs have 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. Today, we are increasingly known as “the AI computing company”. We are growing our company and the team with the smartest people in the world.

We are looking for extraordinary Software Engineers to develop and productize NVIDIA's DRIVE OS software. As a member of NVIDIA's Solution Engineering team, you will adapt DRIVE OS solutions to various car platforms equipped with different sensors. We are looking for a Senior System Software Engineer with strong experience in Linux/QNX/Android operating system, Device Drivers development, virtualization, and ARM architecture

What you will be doing:

  • Architecture, development, and enhancement of native/para-virtualized Linux/QNX device drivers

  • Solve complex system issues on Linux/Android/QNX OS

  • Lead the architecture discussions for SW components and interface with customers to support DRIVE software solutions.

  • Continuously evolve and support requirements gathering process and traceability flow.

  • Actively coordinate with cross-functional engineering teams to meet customer's requirements and to drive complex issues to closure.

  • Participate in architectural explorations which include feasibility studies, safety evaluations and data analysis.

  • Performance tuning of customer use-cases and functions on Drive OS software

What we need to see:

  • BS/MS or equivalent experience.

  • 10+ years of overall experience and preferably with 4+ years of automotive industry experience.

  • In-depth understanding of the display software stack on Android and/or Linux including surface flinger, HW composer, DRM/KMS

  • Should have worked on display drivers including DP/HDMI out, understanding/working experience on display serializer would be added advantage.

  • Strong understanding of QNX/Linux/Android operating system and hands-on experience with QNX/Linux device driver development

  • Strong C/C++ programming and debugging skills

  • In-depth understanding of ARM processor architecture fundamentals

  • Background in embedded software development and deep knowledge of product development lifecycle.

  • Exposure to functional safety architecture to meet ISO26262 standard would be a plus

  • Effective written and verbal communication regardless of audience or issue complexity.

Ways to stand out from the crowd:

  • Extensive experience on developing/debugging complex device drivers on Linux/QNX OS

  • Possess in-depth expertise in embedded system-level debugging, with a focus on resolving complex performance bottlenecks and stress-related failures

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.

How we rate this

Senior System Software Engineer, DRIVE OS - Linux and QNX at NVIDIA rates 35 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  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.

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Pay

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$168k

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