Senior Software Validation Engineer
Role Overview
Lead validation and release qualification for next-generation AI accelerator platforms.
Own end-to-end system validation, AI workload qualification, automation, performance benchmarking, and release quality.
Provide cross-functional leadership to support high-quality product releases.
Key Skills for This Role
Full Job Posting
Role Overview
Lead validation and release qualification for next-generation AI accelerator platforms.
Own end-to-end system validation, AI workload qualification, automation, performance benchmarking, and release quality.
Provide cross-functional leadership to support high-quality product releases.
Key Responsibilities
- Define validation strategy, test plans, and release qualification criteria.
- Lead validation across hardware, firmware, drivers, SDKs, runtimes, compilers, and Linux platforms.
- Validate AI and machine learning workloads, including LLMs, VLMs, computer vision, NLP, and generative AI.
- Develop and maintain automated validation frameworks using Python and CI/CD.
- Perform functional, performance, stress, scalability, and reliability testing.
- Drive root-cause analysis, performance characterization, and release sign-off.
- Collaborate with cross-functional teams and mentor junior engineers.
Required Skills and Qualifications
- 10+ years of system, platform, or semiconductor validation experience.
- Strong programming skills in Python, Bash, and C/C++.
- Experience with Linux, Git, Docker, Kubernetes, and Jenkins or GitHub Actions.
- Expertise in validation automation, performance benchmarking, and debugging.
- Hands-on experience with PyTorch, TensorFlow, ONNX Runtime, and AI inference validation.
- Knowledge of PCIe, embedded Linux, device drivers, networking, and AI accelerators.
- Bachelor’s or Master’s degree in a relevant computer science, electronics, electrical engineering, or embedded systems field.
- AI accelerator or semiconductor product validation experience is highly preferred.
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