Senior AI/ML Software Engineer
New
We sent a six-digit code to . Enter it below — or use the link in the same email.
Or click the link in the same email — either works.
Enter the email address on your account and we'll send you a link to set a new password.
Remembered it? Sign In
NVIDIA
InternThis RDSS intern role develops software for Jetson and DGX Spark edge AI platforms, focusing on boot firmware, Linux kernel drivers, and system-level integration across hardware bring-up to software SDKs. You'll need a master's degree in electrical engineering, computer science, or computer engineering, with strong C/C++ and bash programming skills. Key qualifications include Linux embedded systems experience, familiarity with bootloaders, and knowledge of ARM microprocessor architectures. The position is an internship working with a worldwide development team.
Written from this posting by Neural Jobs AI. The full description is below.
By submitting your resume, you’re expressing interest in our 2027 RDSS (Research and Development Substitute Services) program. Please confirm your eligibility with the local district office before applying the role.
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 RDSS intern position for the Linux for Edge Platform team. This is an outstanding opportunity to accelerate the pace of Jetson and DGX Spark Product Software system development within NVIDIA. 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 of Jetson and DGX Spark platforms.
Bring the latest AI at-the-edge generations to life by working on sophisticated system-on-module designs.
Focus on the Jetson/DGX Spark boot sequence, boot firmware bring up, boot firmware fail safe design, platform security design and the Debian OTA packaging solution.
Contribute broadly from hardware platform bring up to boot firmware, Linux kernel device drivers, RTOS firmware and software SDKs.
Collaborate with various teams for issues triaging and develop system-level CI/CD solutions.
What we need to see:
Masters or higher in electrical engineering, computer science, or computer engineering (or equivalent experience)
Excellent C/C++/bash programming skills and excellent technique leveraging AI tools for software development.
Outstanding communication skills and the ability to work across complementary teams.
Shown success in problem-solving and interpreting technical specifications.
Ways to stand out from the crowd:
Familiarity with boot loaders or boot FW.
Experience in Jetson platform developments.
Experience in Linux development on embedded systems.
Familiarity with embedded microprocessor architectures such as ARM
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.
Here is what this employer asked for. Sign in and we will fill in your half.
NVIDIA builds the GPUs and the CUDA software stack that most modern AI is trained and served on, along with its own research in graphics, robotics and foundation models.
Search by role, company, or anything a posting mentions.