NVIDIA is the biggest company in the world, still growing in fast pace, focusing on innovation and the hardest challenges. We make outstanding artificial intelligence possible and make the most outstanding applications happen. We believe in our people and products and seek excellent people to join us!
The SPT Networking Application Engineering team is looking for an experienced networking HW, FW and SW system engineer with a wide knowledge in networking systems, to join the team and support groundbreaking technology. As a Senior System Networking Engineer, one will have a real impact on the business while working closely with our customers and R&D teams.
What you’ll be doing:
Gain our customers’ trust and understand their needs.
Support new supercomputers and AI fabrics projects.
Solve complex issues while leading highly visible customer issues.
Work closely with various R&D teams.
Provide constructive feedback to engineering and marketing regarding the products’ requirements.
What we need to see:
B.Sc/M.Sc. in Electrical Engineering (or equivalent experience)
8+ years of experience in hardware and FW development.
Complex problem solving and debug capabilities with a can-do approach.
High-level English communication and presentation skills.
Strong interpersonal skills and an ability to work directly with customers.
Ways to Stand Out from the Crowd:
Proven ability to work independently and lead projects.
Experience in a networking company.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative and autonomous, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD for Level 4, and 196,000 USD - 310,500 USD for Level 5.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 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.Skills Required
- B.Sc/M.Sc. in Electrical Engineering or equivalent experience
- 8+ years of experience in hardware and firmware development
- Complex problem solving and debugging capabilities
- High-level English communication and presentation skills
- Strong interpersonal skills and ability to work directly with customers
- Proven ability to work independently and lead projects
- Experience in a networking company
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
