Senior Software Engineer

Job Summary

We are seeking an experienced QA Engineer-II to lead validation efforts for AI Software products and platforms. The role requires expertise in test strategy development, automation architecture, AI/ML validation, quality metrics, and cross-functional collaboration to ensure product quality across multiple hardware and software configurations.

Key Responsibilities

• Define and drive QA strategy for AISW features, releases, and customer programs.
• Lead test planning, test design, automation development, and validation activities.
• Develop scalable automation frameworks and CI/CD-based validation pipelines.
• Drive validation of AI runtimes, compilers, SDKs, tools, and AI models across diverse hardware targets.
• Perform deep technical analysis, root cause identification, and failure triaging.
• Review test coverage and identify quality gaps across products and platforms.
• Mentor engineers and provide technical guidance on QA methodologies and automation.
• Collaborate with engineering, product management, and customer teams to ensure quality objectives are met.
• Track quality metrics, defect trends, escape analysis, and release readiness criteria.
• Drive process improvements, productivity initiatives, and quality best practices.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Electronics, Electrical Engineering, or related field.
• 3–5 years of experience in Software QA, Test Automation, or Validation Engineering.
• Strong expertise in Python programming.
• Strong understanding of Linux, embedded systems, Android, and AI software stacks.
• Experience in CI/CD pipelines, test infrastructure.
• Proven experience in debugging complex software and system-level issues.
• Experience with defect management and release quality processes.

Preferred Qualifications

• Experience with AI/ML software validation and model benchmarking.
• Knowledge of Snapdragon platforms, DSP/NPU acceleration, GPU compute, or edge AI systems.
• Experience with TensorFlow, PyTorch, ONNX, SNPE, QNN, QAIRT, or similar AI frameworks.
• Knowledge of performance, power, memory, and stability validation.
• Experience leading quality initiatives across multiple product releases.

Desired Skills

• Excellent problem-solving and analytical skills.
• Strong stakeholder management and communication skills.