Radar Perception Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Design and develop robust, production-quality C++ code for real-time radar perception algorithms and robotics workflows.

• Utilize modern software engineering best practices to ensure the maintenance of reusable, testable, and high-performance autonomy codebases.

• Architect and facilitate scalable radar fusion pipelines for autonomous systems.

• Lead the development and integration of radar data products within comprehensive autonomy perception frameworks.

• Promote cross-functional collaboration to improve sensor fusion performance and enhance system reliability.

• Develop and optimize point cloud processing techniques, including algorithms for tracking and object classification and identification.

• Implement odometric solutions and data fusion points for Inertial Navigation Systems (INS).

• Oversee verification and validation processes for radar perception systems through extensive field testing.

• Spearhead system performance optimization and regression testing initiatives.

• Ensure system safety and performance compliance with rigorous field operational standards.

• Formulate strategies for safety-critical edge-case detection in various agricultural environments.

• Maintain comprehensive technical documentation for perception architectures, testing outcomes, and deployment protocols.

• Analyze CPU, memory, and latency bottlenecks, optimizing perception pipelines to meet real-time constraints on robotic platforms.

⛳️ Requirements

• Bachelor’s or Master’s degree in Robotics, Computer Science, Engineering, or a related discipline.

• A minimum of 3 years of professional experience in the development of perception systems, particularly focusing on radar, robotics, and embedded systems.

• Strong expertise in C++ and Python, capable of producing production-level embedded code.

• Experience in optimizing perception algorithms for real-time performance on resource-constrained embedded hardware (e.g., NVIDIA Jetson, ARM-based platforms, or similar).

• Proficient with middleware such as ROS or ROS2, along with familiarity in Linux/POSIX development environments.

• Knowledgeable in point cloud processing, sensor fusion, and coordinate system transformations, including object identification, classification, and tracking.

• Ability to thrive in a collaborative, cross-functional setting.

• Experience with autonomous agricultural machinery, construction equipment, autonomous vehicles, or off-highway robotics platforms.

• Familiarity with radar-camera sensor fusion, involving sensor calibration, time synchronization, and integration of multi-sensor data.

• Understanding of safety-critical perception systems, edge-case analysis, and robustness testing in challenging environmental conditions.

• Visa sponsorship is offered for this role.

🏝️ Benefits

• Annual performance bonus.

• Competitive benefits package.

• Opportunities for recruiting, mentorship, career development, and learning & development programs.

• Reasonable accommodations for individuals with disabilities.

• An inclusive workplace that fosters a thriving career and engages in meaningful, challenging missions.