Robotics Software Manager

Position Summary

Experienced Software Manager to lead a team of robotics software engineers developing cutting-edge solutions for robotic platforms. Should be capable of guiding teams through the full software lifecycle—requirements, development, integration, testing, and validation—while ensuring alignment with system-level goals and delivery timelines. Requires a strong technical leader with a proven track record of on-time delivery of high-quality software, combined with exceptional people leadership, planning, and execution skills.

Key Responsibilities

• Lead the design, development, and deployment of software for robotics platforms (e.g., autonomy, perception, controls, embedded systems).
• Provide hands-on technical guidance and architectural oversight to ensure scalable, reliable, and maintainable solutions.
• Manage, mentor, and grow a team of robotics software engineers.
• Foster a high-performance culture focused on accountability, collaboration, and continuous improvement.
• Carry out regular performance evaluations, career development planning, and coaching for team members.
• Break down complex initiatives into actionable work packages and ensure proper work sizing and estimation.
• Ensure timely delivery of high-quality software that integrates effectively with hardware systems and broader robotics platforms.
• Collaborate closely with cross-functional and business teams to align on requirements, system interfaces, and project status.
• Ensure validation processes confirm system performance, reliability, and safety requirements.
• Drive continuous improvement in test automation and coverage.
• Ensure adherence to engineering standards, safety requirements, and regulatory considerations (if applicable).

Required Qualifications

• Bachelor’s or Master’s degree in Engineering
• 7+ years of professional product software development experience
• Prior experience leading or mentoring software engineers
• Familiarity with C++ and Python programming languages
• Ability to size and manage software engineering work

Preferred Qualifications

• Experience with ROS or ROS2, Linux-based systems, and distributed architectures
• Familiarity with simulation environments
• Experience deploying AI/ML models for perception or autonomy (particularly on NVIDIA hardware)
• Background in computer vision, motion planning, or control systems
• Experience with Agile development methodologies
• Strong communication skills with the ability to translate complex technical concepts and status to diverse stakeholders
• Knowledge of DevOps practices, cloud integration, and edge computing
• Experience managing software deliverables through issue tracking and ALM tools such as JIRA