This role pays more than
99%
of similar roles. Most pay
$177,250–$235,750
— the shaded band above.
At the midpoint, this role pays about
$404k
versus about
$206k
for comparable roles.
Based on 240 similar postings.
Employer
About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has
563 open roles
on FindRole.
Listed pay typically runs
$168,000–$264,500
across 556 roles with salary data.
As a Distinguished Resiliency and Safety Architect for GPU Diagnostics, you will join NVIDIA’s cutting-edge team to develop diagnostics software that stress tests GPUs and SOCs to identify hardware defects across various configurations. Your daily tasks include enhancing diagnostic suites to improve failure detection reliability and optimizing test times, ensuring compliance with ISO 26262 standards in automotive contexts. You will collaborate closely with architecture, RTL, and verification teams to ensure robustness and correctness of diagnostics across GPU generations. Essential skills for this role include a Master’s or PhD degree in Computer Science or related fields, at least 15 years of relevant experience, proficiency in C/C++ and CUDA programming, and scripting abilities with Python. Familiarity with GPU architectures, machine learning concepts, and silent data corruption mechanisms is highly desirable. This position demands expertise in high-performance computing systems and the ability to debug complex system-level issues, making it ideal for those passionate about real-time computing platforms in autonomous vehicles and industrial robotics.