Autonomy Software Engineer

About the role

This role focuses on designing, developing, and implementing advanced autonomy systems for off-highway vehicles, including boom lifts, scissor lifts, and telehandlers. You will lead the development of robust solutions that leverage innovative sensor technologies and algorithms to enable safe, efficient, and reliable autonomous operation.

Responsibilities

• Perform autonomy development tasks, including system trade studies and component modeling of inertial measurement units (IMU), global navigation satellite systems (GNSS), cameras, radar, and LiDAR.
• Simulate and implement navigation algorithms, with a strong focus on Bayesian filters and optimal state estimation techniques.
• Propose and evaluate autonomy architecture concepts and perform architecture and technology trade-off analyses for complex systems.
• Define, document, and validate requirements for sensors and state estimation software, including sensor selection, monitoring, fault detection, and sensor fusion strategies.
• Analyze, source, and select sensor solutions for integration into navigation and autonomy systems.
• Develop and integrate state estimation algorithms for localization, calibration, mapping, and SLAM applications in robotic and autonomous systems.
• Design and implement algorithms that fuse multiple sensor modalities to improve robustness and performance of autonomy functions.
• Work with a multi-disciplinary team to develop and integrate complex hardware and software systems into off-highway vehicles.
• Participate in rapid prototyping activities to develop and demonstrate advanced sensing and autonomy capabilities on hardware platforms.
• Contribute to system and operational architecture concepts, ensuring that autonomy solutions align with product requirements and safety expectations.
• Develop modern C++ software (C++11 and higher) for embedded systems, focusing on perception, path planning, and state estimation.
• Utilize ROS1 or ROS2 to integrate, test, and deploy autonomy software components on robotic and vehicle platforms.
• Apply object-oriented programming principles to create modular, reusable, and highly abstracted code for autonomy software.
• Support agile software development practices, including sprint planning, code reviews, and continuous integration workflows.
• Operate within a regulatory environment, ensuring that autonomy solutions meet applicable standards and compliance requirements.
• Support and enhance highly automated systems, improving existing autonomy capabilities and integrating new features into current products.
• Prepare and deliver clear technical presentations to autonomy and engineering stakeholders, explaining design decisions, trade-offs, and performance results.
• Provide technical support and guidance to team members and stakeholders on autonomy-related topics.
• Communicate proactively, follow up on open issues, and ensure stakeholders remain informed about progress and risks.
• Manage tasks independently, prioritize work effectively, and meet deadlines in a fast-paced development environment.

Essential Skills

• Bachelor’s degree in Aerospace Engineering, Mechanical Engineering, Electrical Engineering, or a closely related field.
• Minimum 3–4 years of experience in sensor signal processing and sensor fusion algorithms.
• Experience with navigation systems and performance analysis of navigation solutions, including navigation state error estimation.
• Knowledge of optimal state estimation filters such as Kalman Filters and Extended Kalman Filters (EKF).
• Experience developing and integrating state estimation algorithms for localization, calibration, mapping, or SLAM applications in robotic systems.
• Proficiency in modern C++ (C++11 and higher) with strong hands-on development experience.
• Proficiency with ROS1 or ROS2 for robotics and autonomy applications.
• Experience with object-oriented programming and designing modular, reusable software components.
• Ability to interpret, develop, and integrate highly abstracted code to improve efficiency, modularity, and reusability.
• Experience with embedded systems and embedded devices in real-time or near real-time environments.
• Experience working with autonomy systems, including perception and path planning components.
• Experience with agile software development practices, such as iterative development, sprints, and continuous integration.
• Experience working in a regulatory environment and with highly automated systems.
• Strong verbal and written communication skills, including the ability to present complex technical topics clearly.
• Strong organizational skills and attention to detail.
• Able to independently prioritize tasks, manage time effectively, and meet project deadlines.
• Self-motivated, forward-thinking mindset with a focus on innovation and continuous improvement.
• Hands-on autonomy experience, including building autonomy systems from scratch, improving existing capabilities, or integrating autonomy solutions into existing products.
• Experience with robotics and autonomous vehicles, particularly in off-highway or similar domains.
• Exposure to Python for supporting development, tooling, or scripting tasks.

Additional Skills & Qualifications

• Proficiency in Make and CMake for building and managing complex software projects.
• Experience with optimization algorithms for improving performance and efficiency of autonomy and state estimation solutions.
• Experience in computer vision techniques for perception and environment understanding.
• Experience with machine learning approaches applied to autonomy, perception, or sensor fusion.
• Experience with autonomy development for off-highway vehicles or heavy equipment.
• Experience integrating autonomy solutions into existing products and platforms.
• Ability to bring practical, real-world autonomy experience and perspective to a growing team.