NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More rec…
Skills: Hardware validation, System debugging, Automation, Test plan development, GPU accelerated computing
NVIDIA has pioneered visual computing, the art and science of computer graphics. With our invention of the GPU, the engine of visual computing, the field has expanded to PC games, movie production, product design, medica…
Skills: Mechanical Engineering, Product Design, 3D CAD, Creo, Catia
Solutions Architect, WWFO - New College Graduate 2027
Santa Clara, California, United States · On-site
$108k–$196k/yr
Entry level$29B raised
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 i…
We are seeking a Senior DevOps / Cloud Simulation Infrastructure Engineer to own the complete end-to-end cloud execution pipeline for SimReady assets! This role is critical to our product strategy, enabling us to transit…
NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More rec…
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years, fueled by incredible technology and amazing people. Today, we're using the power of AI to define the next era o…
Skills: Data Governance, Backend Systems, Distributed Systems, Data Engineering, Machine Learning
About Marvell Marvell’s semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, and carrier architectures, our innovative technology …
Skills: RF Engineering, Microwave Engineering, Analog Design, Python, C
About Marvell Marvell’s semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, and carrier architectures, our innovative technology …
Skills: Python, C, Embedded firmware, Device drivers, Communication protocols
About Marvell Marvell’s semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, and carrier architectures, our innovative technology …
Skills: Python, C, Embedded firmware, Device drivers, Communication protocols
Who We Are Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that …
Skills: Process engineering, Semiconductor manufacturing, Display manufacturing, Data analysis, Hardware characterization
NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the hea…
Skills: VLSI, ASIC, SoC, Technical Program Management, Silicon Validation
We NVIDIAns are a diverse group of innovative scientists, researcher, engineers, filmmaker, gaming/UX/product designer. We are providing an outstanding perspective and build positive impact through the work we contribute…
NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More rec…
Skills: DFT, Scan test plans, BIST, Fault modeling, ATPG
About Marvell Marvell’s semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, and carrier architectures, our innovative technology …
Ph.D. Intern - Analog, Mixed Signal & Circuit Design
Irvine, California, United States · On-site
$38/hr–$76/hr
Entry level$2.0B raised
About Marvell Marvell’s semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, and carrier architectures, our innovative technology …
Every day, our team members do amazing things in pursuit of our shared purpose to build trust with our clients, partners, subcontractors, and teammates. No matter your background, education, or career path, if you share …
Skills: Construction management, Project delivery, Subcontractor coordination, Material tracking, Document control
Job Details: Job Description: The Role and Impact Intel is seeking an experienced Physical AI Solutions Architect to help accelerate adoption of Intel technologies across the rapidly growing robotics and Physical AI ecos…
Skills: Physical AI, Robotics, Systems architecture, Deep learning, Algorithm optimization
About Marvell Marvell’s semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, and carrier architectures, our innovative technology …
Skills: Optical DSP, PAM4, C, Python, Digital signal processing
Abbott
Staff Quality Engineer
Santa Clara, California, United States · On-site
$114k–$228k/yr
Senior$20B raised
Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnost…
Skills: Quality engineering, Supplier development, Statistical analysis, FDA regulations, ISO 13485
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 i…
The Senior Validation Engineer will own the end-to-end validation process for DGX server products, including test plan development, automation, and bug resolution. They will collaborate with cross-functional teams and suppliers to ensure comprehensive coverage and high-quality product releases.
Requirements
Candidates must have a BSEE or BSCE degree and at least 5 years of experience in validating and debugging complex systems. Proficiency in programming languages like C/C++, Python, and JS, along with experience in lab instrumentation and computing architectures, is required.
Full job description
NVIDIA has continuously reinvented itself over two decades. Our 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. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can tackle, and that matter to the world. This is our life’s work, to amplify human imagination and intelligence. Make the choice to join us today.
We are now looking for a Senior Validation Engineer in the DGX Server Product Engineering Team. In this role you will be working with a team of HW/SW engineers to develop and implement complex automated test plans for our industry leading GPU accelerated computing products.
What you will be doing:
Own validation of products from start to finish including test plan development, automation, design for validation requirements, resource planning, coverage metrics, test execution, bug resolution, and release to production.
Collaborate with ODMs, component suppliers, and QA teams to ensure no gaps in coverage.
Coordinate internal and external teams in different times zones.
Develop system level stress and performance testing strategies using industry leading Deep Learning/AI applications.
Solve complex system level hardware and software issues on GPU accelerated computing platforms.
What We Need to See:
Ability to work on site in hardware lab environment 5 days a week
BSEE or BSCE or equivalent experience
High speed IO validation
5+ years or more of experience in validating and debugging complex systems.
Developing/running real world workload and factory diagnosis tools
Outstanding verbal and written communication skills.
Proficient in collaborating across teams and suppliers to deliver quality products on tight schedules.
Familiarity with lab instrumentations like Oscilloscopes (Digital Multi Meter)
Deep understanding of computing architectures.
Coding experience with programming and scripting languages such as C/C++, JS and Python.
Ways to stand out from the crowd:
Experience with datacenter products including system management, security, networking, and storage.
Background with x86/Arm server architectures and accelerated GPU computing.
Track record of continuous process improvement with a passion for tools and automation.
Proven knowledge in Circuit and Waveform analysis.
NVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most forward-thinking and talented people in the world working for us and, due to unprecedented growth, our world-class engineering teams are growing fast. If you're a creative and autonomous engineer with real passion for technology, 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 136,000 USD - 212,750 USD for Level 3, and 168,000 USD - 258,750 USD for Level 4.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until September 8, 2026.
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.
Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.
Offices: 2701 San Tomas Expressway, Santa Clara, CA 95050, US · No. 8, Ji Hu Rd., Taipei City, Taipei City 114, TW · Nanakramguda, Serilingampally Mandal, Plot # 6A&B, IT Park Layout, RR District, Hyderabad, Telangana 500046, IN · No. 127 Andheri Kurla Road, CNB Square, Mumbai, Village Chakala, Andheri East 400 093, IN · Survey No. 144/145, Samrat Ashok Path, Off Airport Road, Pune, Yerwada 411 006, IN
How much do Engineering jobs in Santa Clara, CA pay?
Based on 2642 listings with disclosed salaries, most engineering jobs in Santa Clara, CA pay between $111k–$279k per year. Individual offers vary with seniority, company size, and specialization.
How many Engineering jobs are open in Santa Clara, CA right now?
There are currently 2,862 open engineering positions in Santa Clara, CA listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Engineering roles in Santa Clara, CA?
Companies currently hiring include Applied Materials, NVIDIA, Qualcomm, AMD, Amazon, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Engineering jobs in Santa Clara, CA?
Yes — 498 of the 2862 open engineering positions offer remote or hybrid work (84 remote, 414 hybrid).
How do I apply for Engineering jobs in Santa Clara, CA?
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