Role at a glance
- Salary
- $272K – $431.3K/yr
- 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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Role Summary
This software engineering role develops high-speed interconnect and diagnostic software for GPUs, high-performance computing servers, and compute products. The team collaborates with silicon architects, hardware and driver teams, platform software experts, and manufacturing teams to support chip development, validation, productization, and production defect screening.
What You'll Do
- Work closely with architecture, hardware and driver teams through the product development lifecycle of computing and graphics processors...
- Craft software tools and infrastructure required for new chip development, validation, and productization.
- Assess new hardware features and architect diagnostic software using debug CUDA/kernel driver features.
- Collaborate with manufacturing teams in optimizing NVIDIA and customer production lines to screen out defects.
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View full postingQualifications
Strong C/C++ programming skills; detailed knowledge of networking concepts and algorithms; a solid foundation of systems software with emphasis on OS fundamentals; understanding of current generation hardware architecture at systems level; familiarity with computer architecture and ability to work close to the hardware; very strong problem solving and debugging skills; capability to use AI prompt tools; ability to self-manage, show leadership, and have good interpersonal skills.
Required
- Strong C/C++ programming skills
- Detailed knowledge of networking concepts and algorithms
- A solid foundation of systems software with emphasis on OS fundamentals
- A deep understanding of current generation hardware architecture at systems level
- Familiarity with computer architecture, and ability to work close to the hardware
- Very strong problem solving and debugging skills
- Capability to use AI prompt tools
- Ability to self-manage, show leadership, and have good interpersonal skills
Preferred
- Background with PCIE, NVLink or server IO technologies like Infiniband, Ethernet
- Previous experience of working on a large system software code base
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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.
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.