Robotics Perception Engineer Jobs in Austin, TX (NOW HIRING)

At Diligent Robotics, we envision a future powered by robots that work seamlessly with human teams. We build artificial intelligence that enables service robots to collaborate with people and adapt to dynamic human environments.

Our robots operate every day in hospitals, helping healthcare staff spend less time on routine work and more time caring for patients. Operating a real-world fleet gives us something few robotics companies have: continuous customer feedback and operational data that directly shapes the next generation of Physical AI.

We're looking for a Senior Product Manager, Robotics & Autonomy to define and execute the product strategy for some of the most critical capabilities in our robotics platform. You'll work at the intersection of robotics, autonomy, AI, and software engineering to translate business priorities, customer needs, and technical opportunities into a clear product roadmap that drives measurable outcomes.

This role is ideal for someone who understands complex autonomous systems and enjoys working alongside world-class engineers to bring ambitious technology from concept into production.

• Own the product strategy and roadmap for key Robotics and Autonomy initiatives, balancing customer impact, technical feasibility, and long-term platform investments.
• Define product requirements for autonomy, navigation, perception, fleet intelligence, simulation, and robotics platform capabilities.
• Partner closely with Engineering, AI, Robotics, Customer Success, Operations, and Leadership to align priorities across the organization.
• Translate customer feedback, fleet telemetry, and operational insights into product decisions that improve robot performance, reliability, and user experience.
• Prioritize investments using data, customer value, technical complexity, and business impact.
• Drive cross-functional execution from concept through launch, ensuring engineering teams have clear requirements, measurable success criteria, and well-defined priorities.
• Develop product metrics that measure adoption, reliability, autonomy performance, operational efficiency, and customer outcomes.
• Partner with engineering teams to define release milestones, evaluate tradeoffs, and remove ambiguity throughout development.
• Stay informed on advances in robotics, autonomous vehicles, AI, and Physical AI to identify opportunities that strengthen Diligent's competitive advantage.
• Communicate product strategy, roadmap, and progress clearly to executives and stakeholders across the company.

• Bachelor's degree in Robotics, Computer Science, Mechanical Engineering, Electrical Engineering, or a related technical discipline.
• 5+ years of Product Management experience, including ownership of complex technical products.
• Experience working with robotics, autonomous vehicles, drones, industrial automation, or other cyber-physical systems.
• Demonstrated ability to define product strategy and execute technical roadmaps in partnership with engineering organizations.
• Strong technical aptitude with the ability to understand robotics architectures, AI systems, and software development processes without necessarily writing production code.
• Experience working in agile product development environments with cross-functional engineering teams.
• Strong analytical skills and experience using quantitative and qualitative data to drive prioritization.
• Excellent communication skills with the ability to influence technical and non-technical stakeholders.
• Proven ability to make thoughtful tradeoffs in ambiguous, fast-moving environments.

• Experience shipping autonomy, robotics, autonomous vehicle, or AI-enabled products from concept through commercial deployment.
• Familiarity with robotics software stacks such as ROS, perception systems, navigation, planning, simulation, or machine learning.
• Experience working with fleet telemetry, operational analytics, or real-world robotics deployments.
• Understanding of modern AI technologies including foundation models, reinforcement learning, computer vision, or Physical AI.
• Experience building products for enterprise customers, healthcare, logistics, or other operational environments.
• MBA or Master's degree in a technical discipline.