Custom Platform Performance Engineer

NVIDIA is hiring a Custom Platform Performance Engineer to design, model and analyze next generation SoC solutions. We are looking for special individuals with passion and desire to deliver innovative products. Together, we will build the next generation of life changing SoC's. If you are a motivated individual that understands how SoC systems are architected and built, has intimate knowledge of client requirements, and understand various development cycles, this is your place to be

What you'll be doing

• Work with external customers to understand and characterize their unique user workloads, and translate that understanding into resource utilization

• Quickly model user workloads on existing hardware, at both the IP level and the SoC level

• Working with teams through the company, propose modifications to existing IP or new IP to better meet user workloads, provide estimates of performance improvement

• Optimize external customers' applications, including CPU optimizations, GPU (CUDA) optimizations, or ML network optimizations

What we need to see

• Master's Degree in Computer Engineering or Electrical Engineering (or equivalent experience)

• 6+ years of relevant work experience focused on CPU, GPU, and HPC architectures.

• Understanding of the many factors influencing power efficiency at chip, system, and product levels.

• Strong interpersonal, communication and collaboration skills.

• A drive to continuously learn and expand architectural breadth and depth.

• High-level understanding of Computer Architecture -- CPUs, GPU, AI accelerator, fabric, DRAM, high-speed SERDES (PCIe, chip-2-chip)

• Workload analysis and characterization. Understand different types of workloads, experience with tools and theory on how to workload analysis. ARM-based tools a plus but not a requirement

• Experience developing and using cycle-accurate and cycle-approximate performance models, and their trade-offs

Ways to stand out from the crowd

• Experience optimizing code (CPU, CUDA, ML networks) for higher performance

• Experience defining custom accelerators, in particular defining SW/HW interface and programming model

• Datacenter TCO calculation

• Pre-Silicon Performance Verification

• Experience developing plans and strategies with Architecture and Design teams to address performance issues.

• Experience creating methodologies for performance analysis.

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking, a diverse set of people on the planet working for us and, due to unprecedented growth, our special engineering teams are growing fast. If you're a creative and autonomous engineer, we want to hear from you.

The base salary range is 156,000 USD - 247,250 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.