Senior Software Engineer, DPU Platform

Reposted 16 Days Ago
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2 Locations
In-Office
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Develop system software components for the NVIDIA DPU platform. Collaborate with teams to tackle complex challenges in embedded systems.
Summary Generated by Built In

We are looking for a versatile Senior Software Engineer for the NVIDIA DPU Platform team. This position offers the opportunity to have real impact in a multifaceted, technology-focused company affecting product lines that empower the most advanced data centers in the world. Using your deep knowledge of embedded platforms, operating systems, and software distribution technologies, you will work with a world-wide development team to solve the unique challenges of delivering the world's most powerful platforms.

What you'll be doing:

  • Develop system software components including processor firmware and bootloaders, kernel drivers/modules, and user space applications and libraries

  • Collaborating with hardware and product design teams to develop software for sophisticated SOC platform designs

  • Assisting world-wide teams with various customers' and internal DPU projects

  • Tackle complex system-level optimization and resource utilization challenges

  • Participate across all levels of product development lifecycle that values high-standards for clear requirements, software quality and performance

  • Collaborate within a worldwide matrixed software development team, and have broad impact within our highly-dynamic and technology-focused company

What we need to see:

  • Bachelor's degree in Computer Science/Engineering or equivalent experience

  • 5+ years developing software for embedded systems (C is required, Python)

  • Proven understanding of the system software stack, with a focus on software/hardware interaction, including platform firmware, device drivers, Linux kernel, and how user-space applications utilize system services to achieve high performance

  • A deep knowledge of high-performance processor architecture including CPU and cache coherency concepts, as well as hardware accelerators

  • Well-rounded engineering skills, including technical investigation, design, testing, and agile software engineering process

  • Outstanding written and oral communication skills

  • Must be proficient in the C programming language

  • Experienced with build environment tools (gcc, git, github, make, bitbake, shell scripts, gerrit, jenkins, etc…)

Ways to stand out from the crowd:

  • Background with ARMv8 microarchitecture, ATF and/or UEFI software is a strong plus

  • Experience with multiple Linux distributions, with the ability to compare and contrast them

  • Experience developing security key management solutions is very desirable

  • Exposure to secure boot flows and/or trusted computing environments

NVIDIA is widely considered to be one of the technology's most desirable employers. If you strive for excellence, are self-motivated and enjoy having fun and learning, then don't wait-- apply today!

NVIDIA is committed to encouraging 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. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

#LI-Hybrid

Top Skills

C
Linux
Python
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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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