Role at a glance
- Salary
- $240K – $379.5K/yr
- Location
- Santa Clara, California, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 15+ years of experience in a rigorous technical hardware role interfacing with systems
- Education
- Master's degree (or equivalent experience) in Electrical Engineering or related field
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Role Summary
NVIDIA is building a new team focused on the next generation of datacenter infrastructure that powers AI. The role leads datacenter product design and system architecture from silicon through rack level, supporting product performance, validation, and customer delivery.
What You'll Do
- Drive end-to-end system architecture from silicon to rack level
- Lead cross-domain optimization involving power delivery, thermal design, signal integrity, and mechanical constraints
- Develop features at the silicon and system levels to improve GPU performance
- Collaborate with vendors and suppliers on interconnect, power delivery, and memory solutions
- Provide expertise and support to validation teams with planning and execution
- Work with customers as needed to help deliver products
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
15+ years of experience in a technical hardware role interfacing with systems; Master's degree or equivalent experience in Electrical Engineering or a related field; experience with L10/L11, system-level L11 power architecture tradeoffs, modern optical communications, and signal/power integrity; hands-on lab experience with oscilloscopes, TDR, and VNA; ability to manage concurrent projects and priorities; excellent communication skills.
Required
- 15+ years of experience in a rigorous technical hardware role interfacing with systems
- Master's degree or equivalent experience in Electrical Engineering or related field
- Previous experience with L10/L11
- Deep understanding of system level (L11) power architecture tradeoffs
- Knowledge and experience with modern optical communications (pluggables, CPO)
- Strong signal/power integrity background with hands on lab experience (Oscilloscope, TDR, VNA)
- Excellent communication skills required to work well with multi-functional teams
Preferred
- Experience with applied ML frameworks, successful applications of AI/ML to hardware problems
- Understanding of electrical vs mechanical tradeoffs
- Proficiency with CAD simulation tools
- Ability to think outside the box
Original job description
Content provided by the employer
Original job description
Content provided by the employer
NVIDIA is a learning machine that constantly evolves by seeking exciting opportunities that matter to the world, and that only we can solve. We attract the world’s best people, so we can achieve our highest aim: building a company that lets us do our life’s work, at the highest level of our craft. Join our new team building the next generation of datacenter infrastructure that powers the future of AI. We are seeking highly motivated technical experts to join our new organization leading datacenter product design.
What you'll be doing:
Drive end-to-end system architecture from silicon to rack level
Lead cross-domain optimization efforts involving power delivery, thermal design, signal integrity, and mechanical constraints
Develop innovative features at all levels (silicon/system) to help improve GPU performance
Collaborate with vendors and suppliers for interconnect (electrical/optical), power delivery, and memory solutions
Provide expertise and support to validation teams with planning and execution
Work with customers on an as-needed basis to help deliver products
What we need to see:
15+ years of experience in a rigorous technical hardware role interfacing with systems (HW system architecture, PCB design, mixed signal design, hardware validation, system verification, signal integrity, etc)
Master's degree (or equivalent experience) in Electrical Engineering or related field
Deeply inquisitive and able to use core technical competencies to provide direction on system architecture
Ability to see big picture tradeoffs for product success
Motivation and ability to manage concurrent projects and priorities with tight deadlines in a multifaceted environment
Excellent communication skills required to work well with multi-functional teams (software, firmware, marketing, mixed signal, etc.)
Previous experience with L10/L11
Deep understanding of system level (L11) power architecture tradeoffs
Knowledge and experience with modern optical communications (pluggables, CPO)
Strong signal/power integrity background with hands on lab experience (Oscilloscope, TDR, VNA)
Ways to Stand Out from the crowd:
Experience with applied ML frameworks, successful applications of AI/ML to hardware problems
Understanding of electrical vs mechanical tradeoffs
Proficiency with CAD simulation tools
Ability to think outside the box!
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 a diverse 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.About the company
NVIDIA
Large Enterprise
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.