Senior Software Engineer, Robotics

Divergent
Torrance, California, United StatesPosted 2 April 2026

Job Description

Divergent is a technology company that has architected, invented, built, and commercialized an end-to-end factory system called the Divergent Adaptive Production System (DAPS) that comprehensively uses machine learning to optimally engineer, additively manufacture, and flexibly assemble complex integrated vehicle structures and subsystems. Products created using DAPS are superior in performance, lower in cost, rapidly customizable to meet mission and customer-specific requirements, faster to market, and scalable on demand to high volume production. Divergent is a qualified Tier 1 supplier to global automotive OEMs, and Divergent is now expanding to support mission critical needs in the Aerospace and Defense sector. Join us to be a part of this transformative journey, where your impact will shape the future of technology and production. Purpose We are seeking a talented and motivated Software Developer to join our Robotics AI Software team. In this role, you will have the opportunity to work closely with experienced automation and software engineers to develop and implement innovative algorithms for task and motion planning plus computer vision in robotic systems. As a key member of our team, you will contribute to the design, development, and testing of software solutions aimed at enhancing the efficiency and reliability of robotic software algorithms. This involves symbolic task planning, robot kinematics, collision detection, optimization, and computer vision. The Role Develop and maintain software development best practices to ensure high-quality code, efficient testing, and timely releases. Collaborate with other teams to ensure that our software integrates seamlessly with other software products. Collaborate with senior engineers to understand project requirements and contribute to the development of software solutions for robot task and motion planning. Design, implement, and optimize algorithms within our planning framework, leveraging your programming skills and understanding of robotics principles. Assist in the integration and testing of computer vision software to ensure robustness and performance in real-world scenarios. Document your work, including code, algorithms, user manuals, and procedures, to support knowledge sharing and future development efforts. Stay updated on advancements in robot planning algorithms and technologies, and contribute fresh ideas and insights to the team. Basic Qualifications Ability to lawfully access information and technology that is subject to US export controls Bachelor’s in Computer Science, Robotics, or related field with 5+ years of professional experience. Proficient in programming languages such as C++ and Python. Strong knowledge of data-structures, algorithms, and design pattern. Fundamental understanding of industrial robotics including manipulator kinematics dynamics, robot trajectory generation, and communications protocols. Expertise with search algorithms, optimization methods, and constraint satisfaction. Experience with open source robotic planning and manipulation software packages such as MoveIt and ROS. Knowledge of unit-testing, CI/CD pipelines, and containerization (Docker, Kubernetes). Excellent communication and collaboration skills. Ability to work effectively with cross-functional teams, including product managers owners, engineers, and internal customers Preferred Qualifications Master’s or Ph.D. in Computer Science, Robotics, or related field with 3+ years of professional experience. Understanding of computer vision libraries such as OpenCV and PCL. Experience using programming languages such as C#, TypeScript. Explored using Generative AI in robotics. Strong publication record and/or open source contributions in the field of robotics. Work Environment Onsite Pay Range $141,380 $194,390 USD What We Offer: Holistic Compensation Package: Enjoy a world-class compensation package that includes a competitive salary, equity plan ... (truncated, view full listing at source)
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