Job Summary

We are looking for a Validation Engineer to validate and qualify AI software, firmware, hardware, and system-level features for edge AI accelerator platforms. The role involves designing validation strategies, developing automation frameworks, executing functional and performance testing, and ensuring high-quality releases across embedded and AI workloads.

The ideal candidate should have strong experience in Linux systems, automation, AI/ML validation, CI/CD workflows, and debugging complex hardware-software interactions.

Key Responsibilities

• Design and execute validation plans for AI accelerator platforms, embedded systems, and SDK releases.
• Validate AI/ML workloads including LLMs, VLMs, vision, audio, and NLP models across different hardware targets.
• Develop and maintain automation frameworks using Python, Bash, Jenkins, and CI/CD pipelines.
• Perform functional, regression, stress, performance, and scalability testing.
• Validate PCIe, USB, networking, memory, storage, and system-level interfaces.
• Debug issues across firmware, kernel drivers, runtime, and application layers.
• Work closely with software, compiler, runtime, hardware, and DevOps teams for issue triaging and release qualification.
• Build automated validation pipelines for nightly, release, and PR-based testing.
• Analyze logs, crashes, performance bottlenecks, and system stability issues.
• Create detailed validation reports, dashboards, and quality metrics.
• Support customer-specific validation and benchmarking activities.
• Manage and maintain lab infrastructure, devices, and automated execution environments.
• Validate deployments across x86, ARM, Linux, containerized, and cloud-based environments.
• Ensure release readiness through comprehensive test coverage and execution.

Required Skills

Technical Skills

• Strong experience in:
  • Python scripting and automation
  • Linux systems and shell scripting
  • CI/CD tools such as Jenkins/GitHub Actions
  • Docker and containerized environments
  • Git version control
  • Embedded Linux systems
  • Debugging and log analysis

Validation Expertise

• Experience with:
  • Functional and regression testing
  • System validation
  • AI/ML model validation
  • Performance benchmarking
  • Stress and reliability testing
  • Automation framework development

Preferred Areas

• AI accelerator or semiconductor validation
• Edge AI platforms
• LLM/VLM validation
• OpenCV, TensorFlow, PyTorch, ONNX
• PCIe, USB, networking, and kernel driver validation
• Docker, Git
• Hardware-software integration testing

Qualifications

• Bachelor’s or Master’s degree in:
  • Computer Science
  • Electronics & Communication
  • Electrical Engineering
  • Embedded Systems
  • Related field
• 5+ years of experience in validation, QA automation, embedded systems, or AI platform testing.

Good to Have

• Experience in semiconductor or AI hardware companies.
• Exposure to performance profiling and benchmarking tools.
• Experience with distributed systems and large-scale automation.
• Knowledge of compiler/runtime validation.
• Familiarity with model deployment pipelines and inference frameworks.

Soft Skills

• Strong debugging and analytical skills
• Excellent communication and collaboration
• Ability to work in fast-paced product environments
• Ownership mindset and problem-solving attitude
• Ability to coordinate across multiple engineering teams

Example Tools & Technologies

• Python, Bash, C/C++
• Jenkins, Docker, Git
• Linux, Ubuntu, Embedded Linux
• PyTorch, TensorFlow
• Redis
• Jira, Confluence

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