Senior Product Development Engineer - Datacenter Products

US, CA, Santa Clara

NVIDIA

NVIDIA erfindet den Grafikprozessor und fördert Fortschritte in den Bereichen KI, HPC, Gaming, kreatives Design, autonome Fahrzeuge und Robotik.

View all jobs at NVIDIA

Apply now Apply later

NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s an outstanding legacy of innovation that’s driven 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 encouraged to do their best work. See how you can make a lasting impact on the world.

What you'll be doing:

  • Our PDE team owns developing and driving the manufacturing process for new datacenter printed circuit boards and CPU/GPU based sub-assemblies. Manufacturing test and diagnostics SW is a major focus in our test strategy.

  • Early engagement with HW/FW/SW engineering teams, contract manufacturers, joint development partners, and other operations groups (such as procurement) to implement DFM requirements, optimize cost and build end-to-end solutions that will avoid manufacturing problems.

  • Participation in mfg. process planning, scheduling, and cost optimization

  • Work closely with factory personnel and engineering teams during prototype/validation builds, driving solutions to day-to-day problems, collecting metrics and reporting status.

  • Work with operations teams to define and implement process improvements, often based on data collection and analysis.

What we need to see:

  • 10 years proven experience in design and manufacturing of PCB's and/or servers

  • Excellent electronics systems debug and problem solving skills

  • BS/MS (or equivalent experience) in Electrical Engineering or related subject area

  • FPGA implementation expertise, including security protocols and high speed signaling issues

  • Familiar with power system design for large electronic systems

  • Knowledge of standard PCB assembly and test technologies such as SMT, ICT, robotics, quality standards, etc

  • Excellent collaboration skills, working with global, matrixed teams

  • Familiar with diagnostics/test software as used in a factory setting

  • Motivated to continually improve/optimize processes

  • Knowledge of CPU, GPU, PCIe, HBM architectures

Ways to stand out from the crowd:

  • Operations research and or statistics education and/or experience

  • Python programming expertise

  • Hands-on experience working in an electronics factory

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/

The base salary range is 156,000 USD - 299,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

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 now Apply later
  • Share this job via
  • or
Job stats:  4  0  0

Tags: Architecture Engineering FPGA GPU Python Research Robotics Security Statistics

Perks/benefits: Competitive pay Equity / stock options

Region: North America
Country: United States

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.