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NVIDIA

Systems Software Engineer, CPU Manageability Stack

NVIDIA is hiring a Systems Software Engineer, CPU Manageability Stack in Bengaluru, India. Level rates it ; you can apply on NVIDIA.

Level's read on this job

  • Uses AI ●●○○ is how Level rates this software engineer role: an ordinary role that requires AI tools.
  • The posting mentions Codex, Python and C among its tools and skills.
  • Level classes it as a mid-level role.
  • NVIDIA has 2,700+ other open roles on Level.

AI in this role

Systems software engineer to build boot firmware and manageability stack for NVIDIA CPUs, utilizing AI coding tools for productivity.

CodexPythonCIpmiMctpPldm

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. We are building industries leading CPUs for embedded, automotive and data center verticals to harness the full potential of our versatile and performance GPUs. 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 now actively looking for energetic, enthusiastic and technologically savvy engineers to join the Chips System Software team. Here we architect and develop the boot firmware for the flagship CPUs which are the core components for high-compute platforms for automotive, datacenter and other critical applications. The best candidates will have excellent C and Python programming skills, a thorough understanding of operating systems and kernel programming, a good understanding of hardware architecture, and excellent communication and planning skills.

What you'll be doing:

  • As a member of the Tegra Core Firmware Team, you will build and develop Manageability Software stack environment.

  • Apply your strong communication skills to develop software, drive ideas, and analyze documents, ensuring flawless communication of our technology to both internal and external audiences.

  • Participate in embedded bare-metal development for Tegra chips and connect these activities to server management protocols and standards.

  • Collaborate closely with hardware architecture teams, finding opportunities to improve our architecture and make it more performant across generations.

  • Develop partnerships with team members internally and externally, as collaboration is key in our engineering teams!

What we need to see:

  • 5+ years of experience with BS or MS degree in Computer Engineering, Computer Science, or a related field.

  • Outstanding C and Python programming abilities.

  • A strong desire to continuously improve processes and tools for a productivity at speed of light through AI tools.

  • Working experience with server management protocols such as IPMI, MCTP, and PLDM is a definite plus.

  • Strong understanding of multicore hardware, operating systems build, concurrency, virtual memory, caching, interrupts, device drivers, and real-time programming

  • Detailed and extensive experience with Linux kernel software is required

  • Excellent interpersonal skills.

Ways to stand out from the crowd:

  • Experience analyzing, debugging, and tuning the performance of complex system software stacks.

  • Knowledge and understanding of OpenBMC and virtualization platforms (KVM, QEMU).

  • Working experience with AI tools such as Codex, creating agentic AI tools

  • Proficiency creating skills with continuos refinement.

  • Deep understanding of system-level architecture, such as topologies, interconnects, memory hierarchy, interrupts, and memory-mapped IO.

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/

How we rate this

Systems Software Engineer, CPU Manageability Stack at NVIDIA rates 40 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

  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

CodexPythonCIpmiMctpPldm

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. What's a project where you used Codex hands-on?
  2. Walk me through how you've used Python in your day-to-day work.
  3. What are the limits of C that you've run into, and how did you work around them?
  4. What's a project where you used Ipmi hands-on?
  5. Walk me through how you've used Mctp in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Codex, Python, C, Ipmi, and Mctp. 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.
  • Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.

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