[Hiring] Radar Perception Engineer @Blue River Technology

Role Description

We are seeking a talented Radar Perception Engineer to join our team to develop and optimize the Radar Perception stack. You will play a critical role in enabling robust autonomy for our engineering machines, focusing on radar perception and data fusion with camera-based perception systems to advance our autonomous agricultural technology capabilities. You will work across the full stack, from hardware integration to algorithm development and validation.

Job Responsibilities

• Software Development & Coding:
  • Design and write robust, production-quality C++ code for real-time radar perception algorithms and robotics pipelines.
  • Apply modern software engineering best practices to maintain reusable, testable, and high-performance autonomy codebases.
• Architecture & Integration:
  • Architect and support scalable radar fusion pipelines for autonomous systems.
  • Lead the development and integration of radar data products within broader autonomy perception stacks.
  • Drive cross-functional collaboration to enhance sensor fusion performance and system reliability.
• Algorithm Development:
  • Develop and refine point cloud processing methods, including tracking and object classification and identification algorithms.
  • Implement odometric solutions and data fusion points for INS.
• Validation & Metrics:
  • Lead verification and validation efforts for radar perception systems through comprehensive field testing.
  • Drive system performance optimization and regression testing to ensure robust perception capabilities.
  • Collaborate with cross-functional teams to validate system safety and performance against rigorous field operational requirements.
• Safety & Reliability:
  • Develop strategies for safety-critical edge case detection, ensuring the perception system maintains robust performance in diverse agricultural environments.
  • Maintain high-quality technical documentation for perception architectures, test results, and deployment guidelines to ensure code maintainability across the team.
  • Proactively profile system bottlenecks (CPU/memory/latency) and implement optimizations to ensure perception pipelines meet real-time constraints on deployed robotic platforms.

Qualifications

• BS/MS in Robotics, Computer Science, Engineering, or a related field.
• 3+ years of professional experience in perception system development, with a strong focus on radar, robotics, and embedded systems.
• Strong proficiency in C++ and Python, with the ability to write production-level embedded code.
• Experience optimizing perception algorithms for real-time performance on resource-constrained embedded hardware (e.g., NVIDIA Jetson, ARM-based platforms, or similar).
• Proficiency with middleware like ROS or ROS2, and familiarity with Linux/POSIX development environments.
• Familiarity with point cloud processing, sensor fusion, and coordinate system transformations, including object identification, classification, and tracking.
• Ability to work in a collaborative, cross-functional environment (e.g., interacting with hardware, perception, and autonomy teams).

Preferred Experience and Skills

• Experience working with autonomous agricultural machinery, construction equipment, autonomous vehicles, or off-highway robotics platforms.
• Experience with radar-camera sensor fusion, including sensor calibration, time synchronization, and multi-sensor data integration.
• Familiarity with safety-critical perception systems, edge-case analysis, and robustness testing under challenging environmental conditions.

Benefits

• Base pay range: $131,000 - $228,000/year, depending on experience, qualifications, education, location, and skills.
• Eligible for an annual performance bonus.
• Competitive benefits package.

Company Description

We’re passionate about creating an inclusive workplace that promotes and values diversity. We support each employee in living a full life, enabling a thriving career, and accomplishing a meaningful, challenging mission while collaborating with incredible people. We are dedicated to building a diverse and inclusive workplace.