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What you'll be doing:
Collaborate with the hardware and software teams to architect new resiliency and safety features and guide future development.
Optimize hardware and software features to improve system robustness, performance, and security.
Model and analyze RAS metrics like Failures in Time and Availability; and Safety metrics like Diagnostic Coverage and PMHF
Run simulations to analyze Architectural Vulnerability Factor and Liveness of on-die memory
Participate in testing new and existing resiliency and safety hardware and software features.
Develop diagnostics software components for Resiliency and Safety to run on NVIDIA GPUs.
Work on compliance of products with functional safety standards (ISO 26262 and ASPICE (Automotive SPICE)). This includes defining requirements, architecture, and design with end-to-end traceability, performing safety analyses - FMEA/DFA/FTA and ensuring compliance of software to MISRA and Cert-C standards.
What we need to see:
Master’s or PhD degree in Computer Science, Computer Engineering, Electrical Engineering or closely related degree or equivalent experience.
Familiarity with computer system architecture, microprocessors, and microcontroller fundamentals (caches, buses, direct memory access, etc.).
Basic knowledge of some aspects of GPU/SoC architecture - Clocks, Resets, Interrupts, Memory Controller, Multimedia accelerator pipelines.
Proficiency in C/C++.
Scripting and automation with Python or similar.
Understanding of the software development life cycle, from requirements to testing closure and maintenance,
Strong debugging and analytical skills.
Be self-driven and results oriented.
Ways to stand out from the crowd:
Familiarity with general HW concepts, Verilog RTL coding and simulations/debug.
Familiarity with GPU Architectures, Machine Learning/Deep Learning concepts
CUDA Programming
Experience in embedded software development.
Experience with resiliency and functional safety.
You will also be eligible for equity and .
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