Robotics Engineer

Senior Recruiter | Connecting Top Talent with Game-Changing Opportunities

Base Pay Range: $/yr - $/yr

• Autonomy & Controls:
  Design, implement, and maintain modular, real-time autonomy software powering our UAV platforms, with a focus on navigation, localization, guidance, and flight control in GPS-denied and dynamic environments.
• Perception & Mapping:
  Lead development of systems for localization, SLAM, tracking/following, obstacle avoidance, and spatial awareness, leveraging sensor fusion, computer vision, and semantic understanding.
• System Architecture:
  Contribute to architectural design, long-term planning, and technical decision-making across the autonomy stack to ensure robustness, scalability, and maintainability.
• Integration & Testing:
  Deploy, debug, and validate robotic systems on physical drone hardware in both lab and field settings, building tools and frameworks to improve simulation, testing, and deployment.
• Innovation:
  Stay ahead of robotics and autonomy research, proposing and prototyping advanced features that translate into operational advantages.
• Collaboration:
  
  Work closely with cross-functional teams (embedded, cloud, operations, and product) to ensure seamless system performance and delivery.
• Mentorship & Leadership:
  Own critical software components and services, ensuring high reliability and performance. Support other team members through technical mentorship, design validation, and deep debugging, fostering growth and excellence within the robotics team.
• Code Quality:
  Write clean, maintainable, and testable code, and participate in rigorous peer reviews to uphold high engineering standards.

• Bachelor’s, Master’s, or PhD in Robotics, Computer Science, Electrical/Mechanical Engineering, or a related field.
• 5+ years of hands‑on experience in robotics or autonomous systems software.
• Proficiency in C++ and/or Python with a strong grasp of multithreaded and distributed systems.
• Experience building and scaling multi-service architectures (e.g., using ZMQ, custom IPC, etc.).
• Solid understanding of SLAM, localization, and perception-driven autonomy.
• Proven track record of taking systems from prototype → production → scaled deployment.
• Strong debugging skills and a self-sufficient problem-solving mindset.