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QA / Validation Engineer

Listed by Neuray Labs

  • Verified live ·
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Mentioned in this posting

  • Python
  • CI/CD
  • Automation Testing
  • AI Agents
  • Copilot
  • Troubleshooting
  • Technical Documentation
  • FPGA
  • Embedded Systems
  • Claude

Description

About Company & Role neuRay Labs is an innovative technology company specializing in AI, sensor fusion, and advanced radar and electro-optical systems, developing next-generation solutions for sensing, detection, and tracking applications. Our goal is to revolutionize radar signal processing schemes in AI by leveraging visual information in order to obtain never seen before performance. As a Validation Engineer, you will lead testing, integration, and validation of advanced radar systems, with a strong focus on embedded systems, software/hardware integration, and test automation while working alongside experts in the field. What You'll Do Lead testing and validation of radar systems, new features, software/FPGA releases, and system integration. Design and implement scalable automated test benches, test frameworks, and regression test suites using Python. Develop and maintain automated test infrastructure, including CI-based testing. Collaborate with RF, FPGA, and software development teams to define test strategies, troubleshoot issues, and validate fixes across hardware and software layers. Perform laboratory and field testing using RF and electronic test equipment. Analyze test results, system logs, and failures to identify root causes and verify corrective actions. Leverage AI-assisted development workflows and agentic tools (e.g., Cursor, Claude Code, GitHub Copilot) to accelerate integration design, test automation development, log analysis, and test suite scaling. Maintain test plans, procedures, reports, and technical documentation. Support customer integration, system deployment, and troubleshooting. Qualifications B.Sc. in Electrical Engineering, Computer Engineering, Software Engineering, or an equivalent field. 3+ years of hands-on experience in QA/testing, embedded software integration, or system validation. Strong Python programming and scripting skills for test automation, data parsing, and automation framework development. Strong analytical, root-cause investigation, and problem-solving skills across combined hardware and software systems. Experience developing and executing system-level tests and troubleshooting complex technical issues. Proactive, can-do attitude and self-management skills. Excellent verbal communication skills, problem solving skills and attention to details. Advantages Experience with RF, radar, embedded systems, or FPGA-based products. Experience with AS9100 or similar quality standards. Hands-on experience with laboratory test equipment and hardware validation. Knowledge of signal processing algorithms. Experience with CI/CD pipelines and automated regression testing. Experience using AI-assisted coding tools and agentic development workflows to improve engineering productivity.

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