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Senior Robotics Engineer

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Berkeley, CAFull-timePosted 2mo ago

About the role

Senior Robotics Engineer at Azalea Robotics responsible for end-to-end autonomy software development for ARC 1 systems, including localization, mapping, steering, trajectory generation, planning, and control across mobile bases and manipulators.

Responsibilities

  • Develop and maintain core autonomy software across the stack: localization, mapping, and steering for our mobile bases, and trajectory generation, path planning, and control for our robotic platforms
  • Design and implement real-time trajectory optimization and model predictive control strategies, and lead the development of robust, adaptive control systems
  • Develop novel motion planning algorithms (sampling-based and optimization-based) for complex, high-DOF robotic systems
  • Test software directly on real hardware, closing the loop between algorithm development and on-robot performance
  • Create and maintain simulation environments for testing and validating autonomy algorithms
  • Integrate autonomy software into the broader Azalea software stack, partnering closely with perception, applications, and hardware teams
  • Debug and resolve issues spanning software, sensor behavior, and platform-level interactions on live systems
  • Evaluate and incorporate relevant advances in SLAM, visual-inertial odometry, sensor fusion, motion planning, optimization, and control theory
  • Contribute to architectural decisions about sensor selection, compute, and software design for current and future platforms
  • Mentor and guide junior team members on autonomy, planning, and controls projects
  • Support deployment and field teams when autonomy issues arise in pre-shipment testing or at customer sites

Qualifications

  • M.S. or Ph.D. in Robotics, Computer Science, Electrical Engineering, or a related field (or equivalent hands-on engineering experience).
  • 5+ years of industry experience in robotics, shipping production autonomy software on deployed platforms (AVs, AMRs, AGVs, or robotic manipulators)
  • Expert-level Modern C++ (14/17/20), including memory management, multi-threading, and real-time systems
  • Strong Python skills for rapid prototyping, data analysis, and tool development
  • Deep understanding of 3D geometry, linear algebra, and coordinate transformations (quaternions, SE(3))
  • Demonstrated depth in at least one of the following with breadth across the others: real-world deployment, testing and debugging on physical robotic hardware, and initiative in solving complex autonomy problems

Skills

Required:Robotics autonomy software developmentC++ (Modern, 14/17/20)Python3D geometry / linear algebra / SE(3) transformations

Benefits

  • Competitive compensation, including salary, stock options, and benefits
Last updated Sep 2, 2026. Interested? Apply on the company site.
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About Azalea Robotics Corporation

Automating airport baggage handling with robots.

Azalea Robotics automates airport baggage handling with intelligent robot operations. The global market for airport baggage handling systems is $20+ billion and growing, presenting a significant opportunity for innovation and market disruption in this sector. Passenger air traffic volume is increasing, driving demand for efficient and reliable baggage handling at airports and putting immense pressure on existing infrastructure. In 2023 alone, airports processed approximately 4.5 billion bags, highlighting the need for advanced solutions to manage this load effectively. Azalea Robotics provides state-of-the-art robotic systems that enhance efficiency, reduce mishandling, and improve passenger experience through more reliable operations. Baggage handling is a critical component of airline ground operations, yet it is fraught with challenges. The work is physically demanding, often leading to long-term injuries among workers. Traditional baggage handling involves repetitive lifting and maneuvering of heavy loads, which can result in long-term health issues. Azalea Robotics addresses these challenges by automating the most strenuous tasks, thereby reducing the risk of injury and enhancing operational efficiency.