Systems Software Test Lead - Robotics

As Systems Software Test Lead you will be responsible for;

• Lead system‑level verification and validation of robotics software systems, including autonomy, perception, motion planning, and controls integration.
• Define and own end‑to‑end system integration and test strategies for robotics software stacks, ensuring validation of complex, multi-service capabilities across platforms.
• Develop comprehensive test plans and validation frameworks for autonomous system behaviors, including trajectory generation, navigation, and mission‑level functionality.
• Provide technical leadership to distributed test and software validation teams, enabling execution of test plans and ensuring coverage, quality, and traceability.
• Operate with a high degree of autonomy to identify gaps in test coverage, resolve ambiguity, and drive readiness across integration and validation phases.
• Collaborate closely with robotics software engineers to validate system performance across key domains such as motion planning, path optimization, localization, and control systems.
• Lead system integration efforts across software services, APIs, and middleware layers, ensuring correct interaction between perception, planning, and execution components.
• Analyze system behavior and debug software integration issues, identifying root causes across distributed services and real-time system components.
• Utilize scripting (e.g., Python) to support test automation, log analysis, simulation validation, and debugging of robotic system behavior.
• Validate robotics software in lab or simulated environments, including running integrated systems, executing scenarios, and measuring performance against KPIs.
• Support testing and observability of cloud‑connected or distributed robotics systems, including familiarity with cloud platforms (e.g., AWS) for data capture, diagnostics, and system monitoring.
• Incorporate system‑level risks and failure modes into validation strategies, ensuring robust coverage for edge cases and real‑world operating conditions.
• Contribute to development of scalable, repeatable test frameworks and processes for robotics software validation.
• Maintain alignment between requirements, system architecture, and validation coverage using systems engineering and/or MBSE practices.
• Communicate system readiness, risks, and validation results clearly to engineering leadership and program stakeholders.

Qualifications;

• Bachelor’s degree in Engineering, Computer Science, Robotics, or related technical field; Master’s degree preferred.
• 10+ years of experience in systems engineering, software integration, or test leadership focused on robotics, autonomy, or complex distributed software systems.
• Proven experience leading system‑level software integration and test strategy for robotics or autonomous systems.
• Strong understanding of robotics software architectures, including motion planning, navigation, control systems, and distributed service-based design.
• Experience operating as a Test Lead, enabling execution through teams rather than individually performing all testing tasks.
• Hands‑on experience debugging system‑level software issues across integrated stacks (perception, planning, control, infrastructure).
• Proficiency in scripting (e.g., Python) for test automation, data analysis, and system debugging.
• Experience working with cloud‑integrated robotics or distributed systems (AWS or similar platforms).
• Strong understanding of requirements traceability, system validation, and full lifecycle testing.
• Experience working in Agile development environments supporting multi‑team software delivery.
• Ability to operate independently in fast‑paced, high‑ambiguity environments while driving technical outcomes.
• Strong communication skills with ability to guide engineers and test teams across disciplines.

Preferred Qualifications;

• Experience with autonomous mobile robots, robotic manipulation systems, or industrial automation platforms.
• Familiarity with simulation environments, digital twins, or robotics testing frameworks.
• Experience validating AI/ML‑enabled robotic behaviors (perception, decision-making, optimization).
• Exposure to middleware or robotics frameworks (e.g., ROS/ROS2 or similar architectures).
• Background in large‑scale, multi‑team robotics software programs.

The actual salary offered is dependent on various factors including, but not limited to, location, the candidate’s combination of job-related knowledge, qualifications, skills, education, training, and experience