Edge AI Validation & Performance Engineer

UST; Arizona; On-site; USD 70,000 - 105,000; Full time

Job summary

UST in Chandler, Arizona seeks a Validation & Automation Engineer to drive Linux-based validation and automation for Physical AI and Edge AI workloads. You will benchmark performance, run workloads, and develop regression tests to ensure stability.

The role emphasizes strong debugging, scripting in C and Python, and collaboration to optimize systems. A 4+ year background in Linux environments and architecture knowledge is required, with hands-on tools and benchmarking experience.

Qualifications

• Bachelor’s degree in computer science, Electronics, Robotics or related fields.

Responsibilities

• Platforms bring up by hardware and software configuration.
• Execute and analyze benchmark suites and workloads.
• CPU Benchmarks.
• Graphics workloads.
• Real Time workloads.
• AI models validation.
• End to End media analytics.
• NPU workloads etc. (Eg: SPEC CPU, Geekbench, CoreMark, STREAM, lmbench, Intel Memory Latency Checker, fio, IOzone, iperf3, OpenCL-based GPU workloads, AI/NPU inference benchmarks).
• Create and execute sanity and regression test suites.
• Contribute to test automation framework.
• Document, reproduce, and track defects through closure.
• Generate performance reports, dashboards, and trend analyses.
• Collaborate to resolve performance issues and optimize workloads.

Skills

Linux

Test Automation

Debugging

Performance Testing

C

Python

Regression Testing

Computer Architecture

Edge AI

Machine Learning

Education

Bachelor’s degree in computer science, Electronics, Robotics or related fields

Tools

SPEC CPU

Geekbench

CoreMark

STREAM

lmbench

fio

IOzone

iperf3

OpenCL-based GPU workloads

Job description

UST in Chandler, Arizona seeks a Validation & Automation Engineer to drive Linux-based validation and automation for Physical AI and Edge AI workloads. You will benchmark performance, run workloads, and develop regression tests to ensure stability.

The role emphasizes strong debugging, scripting in C and Python, and collaboration to optimize systems. A 4+ year background in Linux environments and architecture knowledge is required, with hands-on tools and benchmarking experience.