Role Summary

As a Software QA Manager in AMD's Robotics, Automotive, and Industrial verticals, you will lead endtoend quality assurance for complex embedded, AIaccelerated, and systemlevel software solutions. You will drive QA strategy, oversee validation across hardwaresoftware boundaries, ensure deterministic and safetycritical reliability standards, and collaborate deeply with crossfunctional engineering teams. The role requires strong expertise in embedded systems, validation methodologies, automation frameworks, and leadership in highcomplexity environments such as robotics perception stacks, automotive IVI/ADAS software, industrial control systems, and heterogeneous compute platforms.

Key Responsibilities

1. QA Strategy & Test Planning

• Define comprehensive test strategies, including riskbased prioritization, test environment definition, and test data planning.
• Establish and implement QA methodologies, standards, automation frameworks, and quality metrics.
• Develop validation strategies spanning embedded software, firmware, drivers, AI/ML workloads, and system integrations across robotics and automotive platforms.

2. Validation Leadership Across Robotics, Automotive & Industrial Domains

• Lead largescale testing efforts for embedded applications with custom hardware, safety constraints, and realtime performance requirements.
• Oversee QA for:
  • Robotics runtime stacks (e.g., ROS/ROS2, robotics sensor pipelines, ISP/NPU/GPU accelerated image flows).
  • Automotive IVI, SDV, Android HAL components, automotive driver stacks, and sensor processing.
  • Industrial control systems requiring deterministic and reliable system responses.

3. CrossFunctional Program Execution

• Coordinate closely with software, hardware, AI, and systems engineering to ensure validation readiness from feasibility to final release-mirroring AMD's programmanagementfocused QA roles.
• Drive issue triage, rootcause analysis, and crossteam problem resolution.
• Ensure coverage and compliance across robotics, automotive safety expectations (such as ISO 26262 softwarerelated aspects), and industrial robustness requirements.

4. Automation & Tooling Ownership

• Own test automation strategy across embedded Linux, Android, realtime OSes, and hardwareaccelerated compute platforms.
• Implement and maintain automation frameworks (e.g., Selenium, Pythonbased frameworks, CI/CDintegrated validation).
• Drive continuous improvement of test efficiency, reproducibility, and scalability across multicamera, multisensor, and AI inference pipelines.

5. Quality Governance & Reporting

• Conduct internal audits to ensure process adherence.
• Report product health at release checkpoints using datadriven quality metrics.
• Ensure nonfunctional validation of scalability, operability, reliability, and safety-critical for robotics & automotive deployments.

Required Qualifications

Technical Skills

• Strong background in software QA, embedded systems, automation, and driver/firmware validation.
• Experience with:
  • Robotics frameworks (ROS/ROS2), sensor fusion, camera pipelines, ISP/NPU/GPU accelerated processing
  • Automotive software stacks (Android Automotive HAL, AUTOSAR concepts, IVI systems)
  • Industrial automation and control systems (latency, determinism, reliability requirements)
• Knowledge of test automation tools (Selenium, Python frameworks, CI/CD systems).
• Understanding of data architecture and highly matrixed systems testing.

Leadership & Management

• Experience managing QA teams and leading large testing efforts with crossfunctional dependency networks.
• Ability to mentor engineers, define KPIs, and build highperformance QA processes.
• Strong communication skills in complex technical program environments-aligned with AMD's expectations for QA leadership.

Education

• Bachelor's or Master's in Computer Science, Computer Engineering, Electrical Engineering, Robotics, or related fields.
• Certifications such as PMP, ITIL, Six Sigma, or ISO 9001 (preferred).

Preferred Experience (Domain-Specific)

• Prior work in automotive, robotics, industrial automation, or safetycritical systems.
• Experience in validating:
  • AI/ML inference pipelines
  • Multisensor SLAM/perception modules
  • Realtime deterministic control software
  • Heterogeneous compute (CPU/GPU/NPU/FPGA) validation workflows
• Understanding of safety, compliance, and certification frameworks relevant to automotive/industrial domains.

Soft Skills

• Excellent analytical, problemsolving, and stakeholdermanagement abilities.
• Ability to drive clarity amid technical ambiguity and multiteam dependencies-highlighted as a key trait in AMD QA program roles.

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