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NVIDIA

Senior Software Engineer - Embedded Platform

NVIDIA is hiring a Senior Software Engineer - Embedded Platform in Santa Clara, United States. It pays $184k-$288k a year and Level rates it ; you can apply on NVIDIA.

Level's read on this job

  • Level rates this software engineer role Works on AI ●●●○: the daily work is on AI products, without building the model.
  • Pay on this posting starts 10% higher than the typical software engineer posting on Level.
  • The posting mentions Linux, Embedded Systems and GPU among its tools and skills.
  • NVIDIA has 2,600+ other open roles on Level.
  • Posted within the past week.

AI in this role

Develop embedded platform software and real-time Linux kernels for edge AI robotics and automation hardware.

linuxembedded-systemsgpusoc

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 looking for an experienced Senior Software Engineer for the Embedded Platform team. This is an outstanding opportunity to accelerate the pace of Jetson, IGX and DGX Spark Product Software system development within NVIDIA. Using your expansive knowledge of embedded platforms, Linux Real Time kernel operating systems, and software architectures, you will work with a world-wide development team to address the unique challenges of delivering the world's most powerful platform for crafting solutions for AI at-the-edge. Have you worked on Linux-based embedded products through full product lifecycles and have a passion for hands-on building of innovative products? If so, this position is for you!


What you'll be doing:

  • Implement features that showcase the capabilities Jetson, IGX based robotics, drones or industrial automation platforms, from board bring-up through production release.
  • Define, build and tune real-time Linux Kernel for deterministic workloads based on GPU and SoC dependent accelerators.
  • Enable variuos IOs and validate the sensors interfaces robotics, drones or industrial automation depend on.
  • Work with robotics partners and internal hardware, safety and middleware teams to turn customer use cases into platform features, reference configurations and tools.
  • Engage in the full product lifecycle, from hardware bring-up to production deployment.

What we need to see:

  • Bachelor’s or Master’s degree in Computer engineering or equivalent experience.
  • 8+ years of shown experience in Linux and sophisticated embedded systems development with strong programming skills.
  • Able to understand the robotics, drones or industrial automation platform hardware architecture and engage with hardware team.
  • Hands-on experience shipping BSPs for robotics, drones or industrial automation platforms.
  • Ability to navigate through linux kernel internals skills: device drivers, device tree, boot flow, debugging with tracing tools.
  • Proven real-time Linux kernel development experience.
  • Outstanding technical skills and the ability to work across complementary teams.
  • Any RTOS experience such as FreeRTOS, Zephyr, etc. is a plus.
  • Modeling various GPU, sensors and other accelerator engine workloads related to robotics, drones or industrial automation applications.

Ways to stand out from the crowd

  • An understanding of how various middleware frameworks like ROS2 behavior affects platform determinism.
  • Built tools or frameworks that let customers configure and verify real-time behavior on deployed systems.
  • Familiarity with embedded microprocessor architectures such as ARM, Linux kernel and various subsystems within.
  • Experience with any developer kits for robotics, drones or industrial automation platforms.

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 184,000 USD – 287,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 3, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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 Software Engineer - Embedded Platform at NVIDIA rates 60 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  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

LinuxEmbedded SystemsGPUSoc

Also common in software engineer jobs at this level

Pay

This job starts at
$184k
Typical software engineer job
$168k

This posting starts 10% above the typical software engineer job. See software engineer jobs

Questions you could be asked

  1. What's a project where you used Linux hands-on?
  2. Walk me through how you've used Embedded Systems in your day-to-day work.
  3. What are the limits of GPU that you've run into, and how did you work around them?
  4. What's a project where you used Soc hands-on?
  5. Describe a typical day in a role like this one: which parts run through AI directly?

Adapt your resume

  • List these exact terms on your resume: Linux, Embedded Systems, GPU, and Soc. 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.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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