We are seeking a highly motivated Senior IC-System Architect for High Speed Networking Systems. To join our team of experts and help build the future of high-performance computing focusing. Our next-generation InfiniBand, NVL and Ethernet switches will be at the forefront of connecting and powering the world's most advanced compute clusters, from supercomputers used in AI research to high-performance clusters used in vast industries. You will work on some of the most groundbreaking technology as a IC-System Architect for High-Speed Networks at NVIDIA focusing on improving our ASIC solution. The products you'll develop will be coordinated in many groundbreaking compute clusters, and supercomputers.
What you'll be doing:
Crafting and architecting the ASIC - System requirements for NVIDIA Systems focusing on ASIC yield improvements.
Collaborate with cross-functional teams, including other architecture teams, logic design, system software, firmware, and hardware teams, to ensure the successful execution of the project optimizing High-speed networking system in the out of space environment.
Leading the development and implementation of the systems to ensure world-class performance, reliability and at scale high quality ASIC manufacturing.
Successfully implementing and managing projects to meet ambitious deadlines and performance targets.
What we need to see:
BSc or MSc in Electrical Engineering or equivalent experience.
8+ years of experience in Chip design, System and HW.
Deep understanding of how to build and integrate systems with various technology components.
Proficiency in advanced system-level Architecture.
Excellent communication skills to effectively work with diverse teams and collaborators.
Can-do attitude and high energy with leadership and excellent interpersonal skills and possess the ability to learn sophisticated concepts in a fast-paced environment.
Possess strong managerial, problem solving and critical thinking skills.
Attention to details on design and high focus on design quality.
NVIDIA has some of the most forward-thinking people in the world working for us. Are you a creative and autonomous engineer who loves a challenge? Are you ready to become the engineer you always wanted to be? Come and be part of the best physical design team in the industry!
Skills Required
- Bachelor’s or master’s degree in Electrical Engineering, or equivalent experience
- 8+ years of experience in chip design, systems, and hardware
- Deep understanding of building and integrating systems with various technology components
- Proficiency in advanced system-level architecture
- Excellent communication skills for collaborating with diverse teams
- Leadership, interpersonal, managerial, problem-solving, and critical-thinking skills
- Ability to learn sophisticated concepts in a fast-paced environment
- Strong attention to design detail and quality
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.”
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