Role at a glance
- Salary
- Not Disclosed
- Location
- Santa Clara, California, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 15+ years experience in a related hardware/software position
- Education
- BS or MS degree in one of the areas of Electrical Engineering, Computer Engineering, Computer Science or equivalent experience
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Qualifications
Requires a BS or MS in Electrical Engineering, Computer Engineering, or Computer Science, or equivalent experience; 15+ years in a related hardware/software position; strong C/C++ programming skills; familiarity with computer architecture and ability to work close to the hardware; strong problem-solving and debugging skills; self-management, leadership, interpersonal skills, communication skills, meticulous engineering practices, and ability to use AI prompt tools.
Preferred
- Detailed knowledge of networking concepts and algorithms, a systems software foundation emphasizing OS fundamentals, and a deep...
- Background with PCIE, NVLink, or server IO technologies such as Infiniband or Ethernet.
- Previous experience working on a large system software code base.
About the role
Original posting provided by NVIDIA
We are seeking software engineers to work on next-generation high-speed interconnect technologies. Our charter is to develop the most demanding high-speed IO applications a GPU or high-performance computing server will encounter in its lifecycle, by collaborating closely with silicon architects, board/rack level designers, and platform software experts to support innovation in factories and data centers. The best candidates will have strong C++ programming skills, detailed knowledge of networking concepts, algorithms, a solid foundation of systems software with emphasis on OS fundamentals, and a deep understanding of current generation hardware architecture at systems level. Excellent communication skills and a dedication to meticulous engineering practices are a requirement.
We also work closely with manufacturing teams in optimizing NVIDIA and customer production line to screen out defects.
What you'll be doing:
Working closely with architecture, hardware and driver teams through the product development lifecycle of computing and graphics processors, as well as compute products.
Responsible for crafting software tools and infrastructure required for new chip development, validation, and productization.
You will assess new hardware features and architect diagnostic software using debug CUDA/kernel driver features
This job will require an understanding of our hardware and software architectures.
What we need to see:
BS or MS degree in one of the areas of Electrical Engineering, Computer Engineering, Computer Science or equivalent experience
15+ years experience in a related hardware/software position
Strong C/C++ programming skills
Familiarity with computer architecture, and ability to work close to the hardware
Background with PCIE, NVLink or server IO technologies like Infiniband, Ethernet is a plus
Previous experience of working on a large system software code base is preferable
Very strong problem solving and debugging skills
Ability to self-manage, show leadership, and have good interpersonal skills
Capability to use AI prompt tools
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering 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.About the company
NVIDIA
Large Enterprise
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.