Principal Robotics Software Engineer

Accountabilities:

• • Provide technical leadership and architectural direction across complex, multi-quarter robotics initiatives, establishing scalable design patterns and engineering best practices.
  • Architect, design, develop, and maintain high-performance, fault-tolerant software systems for autonomous platforms, including capabilities such as motion planning, controls, state estimation, spatial awareness, and fleet management.
  • Collaborate across engineering groups to improve vehicle safety behavior, vehicle control, and access to valuable machine and sensor data that enables greater autonomy and intelligence.
  • Partner with Robotics, Perception, Machine Learning, Hardware, Systems Engineering, and Product teams to define requirements, hardware-software interfaces, and system-level validation strategies.
  • Develop robust production software using modern engineering practices, including rigorous coding standards, automated testing, continuous integration, and real-world deployment processes.
  • Work across system abstraction levels, from defining high-level architecture and technical strategy to diagnosing complex hardware-software integration issues.
  • Guide technical design reviews, code quality initiatives, system troubleshooting, and engineering practices across teams.
  • Mentor and develop engineers at different career levels, helping raise technical capability through coaching, design feedback, and knowledge sharing.
  • Evaluate emerging developments in robotics, AI/ML, dynamic controls, and real-time computing and translate relevant advances into practical technical direction.
  • Balance long-term architectural improvements with near-term delivery requirements, making sound technical tradeoffs in a fast-moving environment.

  Requirements

  • 10+ years of professional software engineering experience, including at least 4+ years operating at Principal- or Staff-level within robotics, autonomous vehicles, aerospace, heavy machinery automation, or a closely related field.
  • Bachelor’s, Master’s, or Ph.D. in Computer Science, Robotics, Computer Engineering, Electrical Engineering, or another relevant technical discipline.
  • Expert-level proficiency in modern C++ and Python within Linux-based development environments.
  • Deep hands-on experience with robotics frameworks such as ROS, ROS 2, or CyberRT, along with expertise in one or more core robotics domains including motion planning, kinematics, trajectory generation, localization, perception, or control theory.
  • Strong experience developing multi-threaded C++ applications, basic inter-process communication, and software that interfaces directly with physical hardware and sensors such as LiDAR, cameras, IMUs, and GPS.
  • Demonstrated ability to design complex system architectures while also debugging challenging hardware-software integration and edge-case issues.
  • Strong engineering judgment and the ability to balance scalable, maintainable architecture with shipping velocity and practical business needs.
  • Proven ability to build alignment across multidisciplinary engineering, product, and leadership teams through technical expertise, credibility, and clear communication.
  • Excellent mentoring, collaboration, problem-solving, and technical communication skills.
  • Preferred experience with real-time operating systems, low-latency optimization, memory management, and real-time networking technologies such as CAN and Ethernet.
  • Familiarity with physics simulation environments such as Isaac Sim, Gazebo, or Webots is a plus.
  • Experience with hardware-in-the-loop testing and complex multi-sensor fusion pipelines is preferred.
  • Familiarity with safety-critical software development or functional safety standards such as ISO 26262 or IEC 61508 is advantageous.

  Benefits

  • Competitive base salary of $174,000–$305,000 USD per year, depending on experience, qualifications, education, location, skills, and other job-related factors.
  • Eligibility for an annual performance bonus.
  • Competitive benefits package as part of the overall compensation offering.
  • Fully remote position for candidates located in the United States.
  • Opportunity to work on advanced robotics, AI, machine learning, and autonomous systems with real-world applications.
  • Mission-driven environment focused on creating safer, more sustainable, and increasingly intelligent machinery.
  • Strong opportunities for technical leadership, mentorship, professional growth, and career development.
  • Inclusive workplace with programs supporting diversity, equity, inclusion, learning, mentorship, and career development.
  • Reasonable accommodations available throughout the application, interview, and employment process.
  • Visa sponsorship is available for this position.