Autonomous Systems Engineer
We are a pioneering force in the technology sector, dedicated to solving some of the world's most challenging problems through automation and artificial intelligence. Our team comprises leading experts from diverse engineering disciplines who are committed to creating safer, more efficient, and more intelligent systems. By joining us, you will contribute to groundbreaking projects that are redefining the boundaries of what's possible in autonomous technology. You will be part of a culture that values deep technical expertise, bold innovation, and a relentless pursuit of excellence.
Your Impact & Responsibilities
- Architect and engineer robust, fault-tolerant, and scalable software frameworks for cutting-edge autonomous platforms—including both ground vehicles and aerial drones.
- Develop, implement, and rigorously test state-of-the-art algorithms for multi-sensor fusion—integrating data from LiDAR, RADAR, IMU, and high-resolution cameras—to create a comprehensive environmental model.
- Design and deploy sophisticated path planning, navigation, and decision-making logic using advanced machine learning (ML) and artificial intelligence (AI) models.
- Conduct exhaustive simulation, validation, and testing of autonomous behaviors in high-fidelity virtual environments (such as CARLA or AirSim) to guarantee system performance and safety before real-world deployment.
- Ensure strict adherence to and implementation of functional safety standards, particularly ISO 26262 for automotive applications, throughout the entire software development lifecycle.
- Collaborate intensively with cross-functional hardware and software teams to seamlessly integrate perception, planning, and control subsystems into a cohesive and high-performing system.
- Optimize system software for real-time performance and efficiency on specialized embedded hardware platforms, pushing the boundaries of computational performance.
- Investigate and pioneer novel approaches to solve complex challenges in autonomous navigation, including behavior in unstructured environments and interaction with dynamic agents.
Core Qualifications & Requirements
- A Bachelor's or Master's degree (PhD is a strong plus) in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, or a related technical discipline.
- Demonstrable professional experience architecting and developing software for complex autonomous systems, self-driving vehicles, or advanced robotics projects.
- Exceptional programming proficiency in modern C++ (C++17/20) and Python, utilized for algorithm development, system integration, and data analysis.
- Extensive, hands-on experience with the Robot Operating System (ROS/ROS2) is considered a fundamental requirement for this position.
- A deep, practical understanding of machine learning and deep learning frameworks (e.g., TensorFlow, PyTorch) applied to computer vision, perception tasks, or behavioral cloning.
- Strong theoretical and applied knowledge of sensor fusion techniques, probabilistic robotics, state estimation, and SLAM (Simultaneous Localization and Mapping).
- Proven experience with simulation environments (CARLA, AirSim, Gazebo) and proficiency with modern software development tools, including Git for version control and CI/CD pipelines.
- Familiarity with critical functional safety standards like ISO 26262 or aerospace equivalent DO-178C is highly advantageous.
Who You Are
- You are a quintessential problem-solver, intrinsically motivated to devise elegant and robust solutions for highly intricate engineering challenges.
- You possess a holistic, systems-level thinking approach; you can intuitively grasp how individual software modules impact the performance and safety of the entire autonomous stack.
- You thrive in a dynamic, fast-paced R&D environment where innovation, intellectual curiosity, and rapid iteration are not just encouraged... they are expected.
- Your communication skills are outstanding, enabling you to articulate complex technical concepts with clarity and precision to both technical and non-technical stakeholders.
- You are exceptionally self-motivated and disciplined, with a proven ability to manage your projects and time effectively, making you a prime candidate for a flexible or remote work arrangement.