Safety and Resiliency Solutions Architect

2 weeks ago

Santa Clara, California, United States NVIDIA Full time

NVIDIA is a dynamic organization that continuously adapts by pursuing impactful opportunities that only we can address. We attract top talent to achieve our ultimate goal: to create a workplace that allows us to excel in our craft. We are currently looking for a Safety and Resiliency Architect to contribute to the development of GPU (Graphics Processing Units) and Tegra SoC hardware and software resiliency features. In this position, you will play a crucial role in a team of innovators, challenging conventional methods and pushing the limits of technology. You will have the chance to influence the leading GPUs and SoCs that power diverse product lines, from consumer graphics to autonomous vehicles and the expanding domain of artificial intelligence.

Key Responsibilities:

  • Collaborate with hardware and software teams to design new resiliency and safety features and steer future advancements.
  • Enhance hardware and software functionalities to boost system reliability, performance, and security.
  • Model and evaluate RAS metrics such as Failures in Time and Availability; and Safety metrics like Diagnostic Coverage and PMHF.
  • Conduct simulations to assess Architectural Vulnerability Factor and Liveness of on-die memory.
  • Engage in testing both new and existing resiliency and safety hardware and software features.
  • Develop diagnostic software components for Resiliency and Safety to operate on NVIDIA GPUs.
  • Ensure product compliance with functional safety standards (ISO 26262 and ASPICE). This includes defining requirements, architecture, and design with comprehensive traceability, performing safety analyses - FMEA/DFA/FTA, and ensuring software compliance with MISRA and Cert-C standards.

Qualifications:

  • Master's or PhD degree in Computer Science, Computer Engineering, Electrical Engineering, or a closely related field, or equivalent experience.
  • Familiarity with computer system architecture, microprocessors, and microcontroller fundamentals (caches, buses, direct memory access, etc.).
  • Basic understanding of GPU/SoC architecture aspects - Clocks, Resets, Interrupts, Memory Controller, Multimedia accelerator pipelines.
  • Proficiency in C/C++.
  • Experience with scripting and automation using Python or similar languages.
  • Knowledge of the software development life cycle, from requirements gathering to testing and maintenance.
  • Strong debugging and analytical capabilities.
  • Self-motivated and results-oriented.

Preferred Qualifications:

  • Familiarity with general hardware concepts, Verilog RTL coding, and simulations/debugging.
  • Knowledge of GPU Architectures and Machine Learning/Deep Learning principles.
  • Experience with CUDA Programming.
  • Background in embedded software development.
  • Experience in resiliency and functional safety domains.

NVIDIA has been at the forefront of GPU innovation since 1999, transforming the PC gaming landscape, redefining modern computer graphics, and revolutionizing parallel computing. More recently, GPU deep learning has sparked the modern AI era, with GPUs serving as the brains of computers, robots, and autonomous vehicles capable of perceiving and understanding their environment. Today, we are increasingly recognized as "the AI computing company".

The base salary range is 120,000 USD - 230,000 USD, determined by your location, experience, and the compensation of employees in similar roles.

You will also be eligible for equity and benefits. NVIDIA is committed to fostering a diverse work environment and is proud to be an equal opportunity employer. We value diversity in our current and future employees and do not discriminate based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.

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