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:

• BSEE, CSEE, BSCpE, or BSCS; MS preferred

LOCATION:

Singapore