Radar Perception Engineer

bluerivertech; United States; Remote; USD 120,000 - 190,000; Full time

Job summary

Blue River Technology, based in Santa Clara, CA, is seeking a Radar Perception Engineer to build and optimize perception stacks for autonomous agricultural robotics. The role covers radar/vision fusion, real-time processing, and system validation across hardware and software domains.

You will work on cross-disciplinary teams to push the envelope in safety, reliability, and performance, integrating radar data with camera-based perception while scaling to field deployments nationwide.

Qualifications

• BS/MS in Robotics, Computer Science, Engineering or related field.
• 3+ years of professional experience in perception system development, radar focus.
• Proficiency in C++ and Python, production-quality embedded code.
• Experience with real-time performance on resource-constrained hardware.
• Familiarity with ROS/ROS2, Linux/POSIX.
• Knowledge of point cloud processing, sensor fusion, and transforms.

Responsibilities

• Design and write production-quality C++ code for real-time radar perception algorithms and robotics pipelines.
• Architect and support scalable radar fusion pipelines for autonomous systems.
• Lead development and integration of radar data products within autonomy perception stacks.
• Drive cross-functional collaboration to enhance sensor fusion performance and system reliability.
• Lead verification and validation efforts with field testing to ensure robust perception.

Skills

C++

Python

Sensor fusion

Real-time

Embedded systems

Linux

ROS/ROS2

Coordinate transformations

Point cloud processing

Team collaboration

Education

BS/MS in Robotics, Computer Science, Engineering or related field

Tools

ROS/ROS2

NVIDIA Jetson / ARM platforms

Job description

We're Blue River, a team of innovators driven to create intelligent machinery that solves monumental problems for our customers. We empower our customers - farmers, construction crews, and foresters - to implement safer and more sustainable solutions, driving increased profitability with less reliance on scarce labor. We believe that focusing on the small stuff - pixel‑by‑pixel and task‑by‑task - leads to big gains.

Blue River Technology aligns with John Deere's vision to “innovate on behalf of humanity” by quickly identifying and solving high‑value, high‑uncertainty challenges in AI, machine learning, computer vision, and robotics. BRT acts as a research and development flywheel, building not only new products but also new platforms that reliably create value for both Deere and its customers. From fully autonomous machines to highly precise farming equipment, BRT and Deere are partnering to create technical breakthroughs in industries like agriculture and construction.

Our people are at the heart of what we do. Through cross‑disciplinary collaboration, this mission‑driven team is eager to define the new frontier of robotics. We are always asking hard questions, rapidly iterating, and getting our boots in the field to figure it out. We won't give up until we've made a tangible and positive impact on the planet!

Company Location

Blue River Technology is based in Santa Clara, CA. This position can be remote in the United States.

Employment Type

Full‑Time

Work Location

Remote in the United States

Visa Sponsorship

Available for this position.

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.

Summary

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.

Required Experience and Skills

• 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 inte