Roles & Responsibilities
THE ROLE :
Join the world’s leading graphics accelerator team, developing diagnostics applications for the functional and behavioral verification of cutting-edge GPU accelerators. You will design SoC functional testing methodologies, craft feature verification plans, implement diagnostics applications, and analyze / debug results.
This role involves close collaboration with hardware architects and logic designers to address functional issues, as well as with customer support engineers to resolve testing deficiencies.
THE PERSON :
We are looking for someone who is :
- A proactive, self-driven professional who can share ideas and provide leadership in design verification.
- Highly skilled in hardware / software integration and standard diagnostic testing techniques.
- Experienced in developing complex software in challenging environments.
- Strong in problem-solving and data analysis.
- An excellent communicator, both verbally and in writing.
KEY RESPONSIBILITIES :
Plan, design, develop, debug, and optimize functional and stress tests for machine learning and HPC GPU accelerators.Collaborate with hardware architects and logic designers to resolve functional issues, and with customer support engineers to address verification deficiencies.Research, evaluate, and adopt evolving diagnostics methodologies to verify complex ASIC designs under demanding production schedules.Own SoC IP feature verification planning and test development from pre-silicon through post-silicon stages.PREFERRED EXPERIENCE :
Extensive experience in diagnostic or verification environments, with a focus on ASIC system-level testing.Proficiency in object-oriented programming in C++.GPU programming experience (OpenCL, CUDA, HIP) is a plus.Software development experience in Linux.Strong combination of large-scale software development and hardware knowledge.Experience with SoC bring up is a plus.Understanding of RTL design practices and tools is a plus.Familiarity with Machine Learning (CNN, RNN, FNN) and frameworks such as TensorFlow, PyTorch, or DirectML is a plus.ACADEMIC CREDENTIALS :
At least a Bachelor's in Electrical / Electronic Engineering, Computer Science or Computer Engineering.Tell employers what skills you have
TensorFlow
Hardware
Stress
Customer Support
SDLC
OpenCL
PyTorch
RTL Design
IP
CUDA
SoC
ASIC
Graphics
Test Development
Linux
Software Development