Senior GPU System Software Engineer

Posted 7 Days Ago
Be an Early Applicant
Bengaluru, Bengaluru Urban, Karnataka, IND
In-Office
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Design, develop, and test GPU kernel drivers to optimize power, performance, security, and safety across Linux, QNX, and Android. Collaborate with hardware and software teams to create low-level hardware abstraction layers and kernel software. Perform safety and security analysis and implement mechanisms meeting product-specific requirements.
Summary Generated by Built In

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people.

Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

We are searching for a creative and highly motivated engineer with expertise in system software to join the GPU System Software organization. This position offers the opportunity to have real impact in a dynamic, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence.

What you will be doing:
  • Design, develop and test key aspects of our GPU kernel driver with a focus on enabling best-in-class power, performance, security and safety that will be used across Linux, QNX and Android.
  • Work closely with multi-functional teams such as Hardware and Software teams to understand requirements for new hardware, SW APIs and create solutions ranging from low level hardware abstraction layers to SW using OS Kernel SW.
  • Perform Safety, Security analysis of the design and implement mechanisms to stay in sync with product specific safety/security requirements.
What we need to see:
  • BS/MS degree in Electronics/Computer Engineering, Computer Science, or related degree (or equivalent experience).
  • 10+ years of relevant software development experience.
  • Hands on technical experience and demonstrated excellence in an environment with complex software and hardware designs.
  • Strong understanding of Multicore hardware, operating systems design, concurrency, virtual memory, caching, interrupts, device drivers and real-time programming.
  • Outstanding C programming and low-level driver experience.
  • Experience with ARM and RISCV based processor architecture.
Ways to stand out from the crowd:
  • Previous experience in architecting and developing GPU kernel driver on Linux or QNX based platforms.
  • Understanding of GPU software stack across user space, kernel and firmware.
  • Previous experience in certifying embedded device drivers to Functional Safety or Cybersecurity standards.
  • Previous experience with system architecture involving virtualization
  • Used GenAI based workflows for System SW development and debugging

We are widely considered to be one of the technology world’s most desirable employers, and as a result have some of the most forward-thinking and hardworking people in the world working for us. So if you're resourceful, creative, and driven, we'd love to have you join the team.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

Skills Required

  • BS/MS degree in Electronics/Computer Engineering, Computer Science, or related degree (or equivalent experience).
  • 10+ years of relevant software development experience.
  • Hands on technical experience in environments with complex software and hardware designs.
  • Strong understanding of multicore hardware, operating systems design, concurrency, virtual memory, caching, interrupts, device drivers and real-time programming.
  • Outstanding C programming and low-level driver experience.
  • Experience with ARM and RISCV based processor architecture.
  • Previous experience in architecting and developing GPU kernel driver on Linux or QNX based platforms.
  • Understanding of GPU software stack across user space, kernel and firmware.
  • Previous experience in certifying embedded device drivers to Functional Safety or Cybersecurity standards.
  • Previous experience with system architecture involving virtualization.
  • Used GenAI based workflows for System SW development and debugging.

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

NVIDIA Insights

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

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. Today, NVIDIA is increasingly known as “the AI computing company.”

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