Full-Time

Lead Hardware Design Validation Engineer

NVIDIA

NVIDIA

10,001+ employees

Designs GPUs and AI HPC platforms

Compensation Overview

$168k - $258.8k/yr

+ Equity

Company Historically Provides H1B Sponsorship

Santa Clara, CA, USA

In Person

Travel up to 8% internationally (Asia) during NPI; local manufacturing site visits near Santa Clara up to 5%.

Bachelor's

Category
Hardware Engineering (1)
Required Skills
Linux/Unix

Get referred to NVIDIA

See people who can refer or advise you

Requirements
  • BS+ in Electrical Engineering or Computer Engineering or equivalent experience
  • 8+ years of related experience with a proven track record as a technical lead for a shipping hardware product
  • Proven leadership, leading validation through an entire product cycle from bring-up to mass production
  • Strong system troubleshooting skills covering silicon, board, signal integrity, firmware, OS, and applications
  • Hands-on experience with power validation, including Power Delivery Network, power regulators, sequencing, telemetry, protection etc.
  • Expertise in high-speed I/O functionality and electrical validation, such as PCIe, SerDes, Ethernet, USB, or display
  • Proficient in low-speed I/O functionality and electrical validation, including I2C, SPI, UART, JTAG, SMBus, reference clock, etc.
  • System functional and stress test experience: define and complete system-level stress workloads (thermal, power, IO, memory, mixed-mode, corner V/F, Wide Area Test etc.) to expose marginality and uncover corner-case failures
  • Proficiency with lab equipment and scripting, comfortable in Linux environments including driver/firmware debug with strong communication and program management skills; able to lead across multiple teams, sites, and time zones
  • Experience with manufacturing test plans, collaborating with OPs/CM/OEM teams, and driving production debug and yield improvement
  • Willing to go to local manufacturing sites near Santa Clara (typically up to 5%) to support NPI builds and un-gate factory
Responsibilities
  • Own end-to-end product validation from architecture/design phase, through bring-up to mass production: set strategies, define test plans, and track progress to ensure the product meets spec and ships successfully
  • Lead and mentor design validation engineers. Guide related validation teams (thermal, EMI, reliability, etc.) and partners (such as JDM) through the validation cycles. Represent design validation in executive and cross-functional product reviews and debug forums
  • Be the accountable technical owner for validation status, risks, and different milestones/release readiness
  • Define test plans across the full system based on product design, such as power, high-speed IO, low-speed IO, clock/resets, manageability (BMC), sensors, telemetry, firmware, full-system functional/stress validation etc.
  • Guide manufacturing test approaches; contribute to production troubleshooting and boosting yield
  • Collaborate with and lead vendors and partners to complete validation activities
  • Drive system-level debugging and root cause analysis on complex issues (including critical field returns) spanning silicon, board, system, signal integrity, firmware, and software
  • Influence product design through design review and validation/debug feedback
  • Build scalable validation automation and lab infrastructure across product lines
Desired Qualifications
  • Experience leading validation for a GPU, server, automotive platform, or AI accelerator from first silicon to mass production
  • Datacenter platform experience: high-density/rack-scale power, liquid cooling (CDU, manifolds, leak detection), manageability (BMC) etc.
  • Proven capability in managing or technically leading a team of validation engineers
  • Able and willing to travel internationally (primarily to Asia mfg sites such as Taiwan, China mainland etc.), up to 8% during NPI peak, to support builds

NVIDIA designs and manufactures graphics processing units (GPUs) and computing platforms used for gaming, data centers, and artificial intelligence. These products work by using parallel processing to handle complex mathematical calculations much faster than standard computer processors, supported by a software ecosystem that allows developers to build and run AI models. Unlike competitors that may focus solely on hardware, NVIDIA integrates its chips with specialized software and cloud services to create a complete environment for high-performance tasks. The company’s goal is to provide the underlying technology necessary to power advanced computing, from realistic video game graphics to autonomous vehicles and large-scale data analysis.

Company Size

10,001+

Company Stage

IPO

Headquarters

Santa Clara, California

Founded

1993

Get referred to NVIDIA

See people who can refer or advise you

Simplify Jobs

Simplify's Take

What believers are saying

  • August 2026 revenue hit $96.2 billion; data center revenue reached $89.0 billion.
  • Management guided Q3 fiscal 2027 revenue to $108 billion, showing relentless demand.
  • NAVER, Brookfield, and Nvidia expanded Korea’s AI factory to 200 megawatts in July 2026.

What critics are saying

  • Taiwan indicted nine people on August 24, 2026 for illegal Nvidia chip exports to China.
  • Memory costs cut Q3 gross margin guidance to 71%-72%, pressuring profitability in 2026.
  • China export controls can erase a major market if Washington tightens rules further.

What makes NVIDIA unique

  • CUDA, Blackwell, and Nemotron lock developers into Nvidia’s full-stack AI ecosystem.
  • AWS and Nvidia announced 2 million additional GPUs for 2027-2028, deepening platform dependence.
  • NVIDIA DSX combines chips, software, and facilities for sovereign AI factories.

Help us improve and share your feedback! Did you find this helpful?

Benefits

Company Equity

401(k) Company Match

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

-1%

2 year growth

-2%
Yahoo Finance
Sep 9th, 2026
Nvidia CEO counters Michael Burry's AI chip depreciation bear case with market evidence

Nvidia CEO Jensen Huang has countered hedge fund manager Michael Burry's concerns about the useful life of AI semiconductors. Burry, known for predicting the 2008 subprime market crash, argues that companies overestimate GPU lifespans at six years rather than two to three years, thereby inflating profits. However, Nvidia's Ampere A100 chips, launched in mid-2020, remain in demand six years later. Neocloud CoreWeave recently contracted to rent these processors through 2029, nine years after their introduction. Rental prices for the newer Hopper H100 chips have increased 22% month over month, suggesting continued strong demand. Huang shared this pricing data on social media this week, reinforcing his position against Burry's bearish outlook on AI semiconductor longevity.

Yahoo Finance
Sep 9th, 2026
Nvidia raises Q3 revenue guidance to $108B, but margin squeeze from memory costs dampens investor reaction

Nvidia guided fiscal Q3 2027 revenue to $108 billion, an 18.7% increase from the prior quarter's guidance. The company expects revenue to grow approximately 70% in fiscal 2028, though supply constraints remain a factor. The stock gained 7% following the announcement, adding roughly $14.93 per share. However, rising memory costs driven by AI infrastructure demand are squeezing margins. Nvidia guided gross margin 0.9 percentage points lower for Q3, expecting it to bottom at 71-72% in Q4 2027 before stabilising at 72-73% in fiscal 2028. Operating expenses were also guided higher. The company's data centre business shows strong demand, with its ACIE segment growing 138% year-over-year to $40 billion in Q2 2027.

Yahoo Finance
Sep 9th, 2026
NVIDIA and CU Healthcare Innovation Fund invest in Verily Health's AI platform expansion

Verily Health has secured additional investment from NVIDIA and existing backer CU Healthcare Innovation Fund II. The funding extends Verily's March fundraising round. Current investors include Alphabet, Series X Capital, and UCHealth. The investment supports scaling of Verily's Pre Platform, a data and AI platform helping healthcare organisations deploy AI across research and care. It also backs Verily Me, the company's patient engagement offering. Verily and NVIDIA previously announced a collaboration in October 2025. Researchers using the Pre Platform can leverage NVIDIA AI libraries and B200 GPUs. Verily developed Forecast 1.0, a foundation model integrating genomics and electronic health record data to predict long-term health risks, using NVIDIA's AI stack.

Yahoo Finance
Sep 9th, 2026
NVIDIA stock soars 14,700% in decade as CEO confirms demand outstrips supply through 2028

NVIDIA has delivered a 14,460% return over the past decade, turning $10,000 into approximately $1.45 million. The company's stock currently trades near $226.18, with analysts setting a 12-month price target of $308.85, implying 36.55% upside. NVIDIA reported fiscal Q2 FY27 revenue of $96.22 billion, up 105.85% year-over-year, with data centre revenue hitting $89.02 billion. The company projects Q3 revenue of $108 billion at 74% gross margins. CEO Jensen Huang stated that demand significantly exceeds NVIDIA's current supply capacity. Management guided fiscal 2028 revenue growth of approximately 70%, describing it as supply-constrained. Top-five hyperscaler capital expenditure is projected at nearly $800 billion in 2026 and $1.3 trillion in 2027.

Fortune
Sep 9th, 2026
Nvidia CEO declares AGI achieved with OpenAI's Astra, but markets remain unmoved

Nvidia CEO Jensen Huang declared over the weekend that artificial general intelligence has arrived, citing OpenAI's newest model Astra. Markets responded tepidly: Nvidia shares fell 2% whilst companies leveraged to OpenAI, like CoreWeave and SoftBank, saw gains. Gil Luria of D.A. Davidson suggests Nvidia is "too big to grow" despite reporting $96 billion in quarterly revenue. Economist Basil Halperin argues real interest rates, not stock prices, would signal true AGI. Real rates have risen three to four percentage points since 2021, partly due to AI infrastructure spending, but remain far from levels that would indicate transformative AI impact. Most experts expect AI to add only about half a percentage point to GDP growth. Halperin forecasts the next five years will resemble "the dot-com boom, but twice as fast and twice as hard.