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.
Solid stakeholder management and communication skills.

📌 Senior Software Engineer - AI/ML (Secunderabad)
🏢 QTIMinds Private
📍 Secunderabad