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 seek hardworking, motivated, and imaginative individuals to join our High Speed IO (HSIO) post silicon validation team. As the lead engineer, you will own post-silicon validation and support new hardware bring-up. This role offers firsthand experience in developing and productizing reliable HSIO interfaces for GPU accelerated computing platforms, next generation client and automotive systems.
Own HSIO (PCIe, CXL, and NVLink) validation on FPGA/Emulator and Silicon, including test plan development, board building for validation requirements, resource planning, automation, test execution, coverage metrics, bug resolution, and release to production.
Coordinate with internal and external logic, circuit, boards, simulation, diagnostics, firmware, driver, and marketing teams across different time zones. Ensure our products are tested against and meet specifications, are tuned for efficient workload performance. Drive the system into production.
Participate in reviewing board schematics, PCB layouts, and making build and component suggestions. Ensure interoperability with connected devices and system components in sophisticated interconnect topologies.
Provide engineering support during manufacturing in both NPI and MP stages of production.
Influence pre-silicon development and verification methodologies, workflows based on issues observed and debugged on silicon to achieve outstanding HSIO products.
BS or B.Tech or MS or M.Tech in EE, ECE, CS, or equivalent degree with 7+ years or more experience in HSIO validation.
Comprehensive understanding of the HSIO protocols (including PCI Express, Infiniband, Ethernet), its specifications, and its operation at a system level.
Strong knowledge of lab instruments (DSOs, BERT, Protocol/Logic analyzers) and hands-on experience in Post-Si bring-up, functional validation, troubleshooting, and tuning of HSIO interfaces. Proficient with logic and protocol analyzers, along with protocol exercisers.
Outstanding verbal and written communication skills. Proficient in collaborating across geographically distributed teams and suppliers to deliver quality products on tight schedules.
Hands-on experience of developing workflows and coding in scripting languages like Python would be helpful.
Proven leadership experience in PCI Express physical layer and debugging LTSSM failures; familiarity with data link layer, transaction layer and CXL.
Extensive knowledge of characterization techniques in post-silicon settings. Excellent knowledge of signal integrity concepts, silicon characteristics, and high-speed/SERDES functional validation.
Familiarity with x86/Arm server architectures and latest accelerated computing server architecture is required. Experience with datacenter products including system management, security, networking, and storage would be a plus.
Working exposure on working with AI tools (like Claude or Cursor) would be highly desirable
We have some of the most experienced and dedicated people in the world working at NVIDIA. If you're creative and independent, with a genuine passion for technology, we want to hear from you. Join us and be part of something outstanding!
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
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Skills Required
- BS or B.Tech or MS or M.Tech in EE, ECE, CS, or equivalent degree
- 7+ years of experience in HSIO validation
- Understanding of HSIO protocols including PCI Express and its specifications
- Knowledge of lab instruments and experience in Post-Si bring-up
- Experience with scripting languages like Python
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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