Collaborate with the Software and Hardware teams to architect new safety and resiliency features and guide future development.
Optimize hardware & 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
Develop diagnostics software components for Resiliency and Safety to run on NVIDIA GPUs.
Participate in testing new and existing resiliency and safety hardware and software features.
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.
At least 5+ years of relevant experience.
Familiarity with computer system architecture, microprocessors, and microcontroller fundamentals (caches, buses, direct memory access, etc.).
Proficiency in C/C++.
Scripting and automation with Python or similar.
Understanding of the software development process, from requirements to testing closure and maintenance.
Experience with resiliency and/or functional safety.
Excellent interpersonal skills and ability to collaborate with on-site and remote teams.
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, GPU and SOC Architectures, and Machine Learning/Deep Learning concepts