Hiring.Camp

Senior SOC Architect

Nvidia

·

Today

Location
Tel Aviv-Yafo, Tel Aviv District,IL, IL · Ra'anana, Center District,IL, IL · Yokne'am Illit, North District,IL, IL
Type
Full-time
Department
Engineering
Seniority
Senior
Education
PhD
Source
Eightfold

Description

We are looking for a senior Hardware SoC Architect to define and drive advanced runtime hardware features for power and performance. In this role, you will work with internal customers and cross-functional teams to take new architectural features from concept through POR, implementation, and post-silicon enablement.

NVIDIA is developing processor and system architectures that are at the forefront of accelerating machine learning and high-performance computing applications. We are building the most advanced SoCs in the world for these applications and are looking for SoC architects to join our effort. In this position, you will have the chance to define future aspects of our architectures that bring together NVIDIA GPUs, custom processors and accelerators into a single chip. Your role will be cross-disciplinary, working with software, ASIC design, verification, physical design, VLSI and platform teams. Our SoC architects excel at pushing the state of the art, while making the best engineering trade-offs.

What you’ll be doing:

  • Hardware architecture end-to-end lifecycle ownership
  • Drive Architecture/Software/Hardware co-design and collaboration on features set
  • Drive the development of predictive and adaptive hardware for improved performance and power
  • Perform performance, perf @ watt, perf / sq. mm modeling or analysis and track through design (where applicable)
  • Hardware specification authoring, review, and architectural model development (where applicable)
  • Architectural validation plan and execution
  • Review downstream specifications and verification plans in ASIC, software and/or platform to ensure requirements are followed
  • Post-Silicon production support with silicon debug and publishing of customer documentation
  • Industry standards tracking & 3rd party IP technical evaluation
  • Patenting novel parts of system architecture

What we need to see:

  • Bachelors, Masters or PhD degree in Computer Engineering, Electrical Engineering (or equivalent experience)
  • 12+ years of architecture, design and/or verification experience
  • Proven experience driving architectural features from concept, definition, and modeling through implementation and productization
  • Strong system level thinking, with the ability to translate architectural ideas into practical hardware features
  • You have meaningful industry expertise in SoC architecture definition in for example: Clocks, Resets, Interconnects, Memory Controller, Boot, Virtualization, Power Management, Security, System Performance, IO technologies, (PCIE, Camera Interfaces, etc), Multimedia accelerator pipelines, CPU/GPU coherency, Platform integration
  • Comfortable communicating and solving issues at all levels of architecture definition from micro-architecture to system level to software architecture
  • Excellent analytical, written, and verbal interpersonal skills and ability to work as part of a team

Ways to stand out from the crowd:

  • Deep understanding of power and performance modeling knowledge and experience
  • Experience translating AI/ML or heuristic algorithms into practical hardware features for prediction, control, power management, or performance optimization
  • Experience defining predictive or adaptive hardware features for runtime decision-making
  • Experience in power management architecture and runtime power-control features is a strong advantage
  • Experience working with data scientists to turn models into deployable hardware solutions under power, area, and latency constraints
  • Inventions in one or more domains relevant to SoC architecture

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 people in the world working for us. If you're creative, autonomous and love a challenge, we want to hear from you!

Skills

Machine Learning

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