Principal Datacenter HSIO Engineer
Overview
- Added in 30 days
- 658
- At this company, still open
Skills named in this posting
- Mixed-signal
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!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 240,000 USD - 379,500 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until March 15, 2026.
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.
Apply on the employer's site
Original posting: jobs.nvidia.com
RISC-V ecosystem
NVIDIA Corporation in the RISC-V ecosystem
RISC-V International: Premier Board
Founded in 1993, NVIDIA is an AI computing company. The company is headquartered in Santa Clara, California.
- NVIDIA is bringing CUDA platform support to RISC-V, i.e. allowing a RISC-V CPU to host CUDA GPU applications
- Publicly credited the RVA23 profile as the enabler: "We wouldn't have considered porting CUDA to RISC-V without it"
- Active in RISC-V International profile/standards work and a frequent presence in RISC-V ecosystem coverage
Same employer
More roles at NVIDIA Corporation
Production Application Engineer, Enterprise
NVIDIA Corporation
Taiwan, Taipei, Taiwan, HsinchuFirmwareOct 29, 2026Architecture Energy Modeling Engineer
NVIDIA Corporation
China, ShanghaiRTL / HDLPhysical designSoC / ASICOct 29, 2026SAP SD Business Systems Analyst
NVIDIA Corporation
India, Pune, India, HyderabadOct 29, 2026Performance Engineering Intern, Deep Learning and HPC - 2027
NVIDIA Corporation
China, ShanghaiOct 29, 2026Performance Engineering Intern - 2027
NVIDIA Corporation
China, ShanghaiSoC / ASICOct 29, 2026PhD Researcher Intern, World Foundation Models
NVIDIA Corporation
Korea, SeoulOct 29, 2026