Founding Perception Engineer

Brahma Consulting Group provided pay range

This range is provided by Brahma Consulting Group. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

$/yr - $/yr

We are seeking a passionate Founding Perception Engineer with 2-10 years of experience to join our mission-driven team building autonomous heavy construction vehicles. This role is perfect for someone excited to work at the intersection of robotics, hardware, and real-world challenges, and eager to see their code control 20 tons of steel.

• Architect and develop robust 3D perception pipelines for teleoperated and semi-autonomous heavy machinery
• Design baseline perception algorithms and progressively enhance them with advanced deep-learning models
• Build real-time object detection, classification, and tracking systems to improve operator situational awareness
• Calibrate and fuse multi-modal sensor data (LiDAR, cameras, radar, GNSS/IMU) ensuring spatial and temporal consistency under dynamic conditions
• Optimize perception algorithms for real-time execution on embedded compute platforms (e.g., NVIDIA Jetson Orin), with a focus on low latency, stability, and handling of edge cases

• 2 to 10 years of perception engineering experience working with autonomous vehicles, preferably in industrial settings such as construction, mining, or agriculture
• Experience as a founding engineer or founder in an early-stage startup, side project, or similar 0 to 1 building environment
• Demonstrated elite skill or exceptional project track record in robotics, perception, or autonomy
• Bachelor’s degree in Computer Science or equivalent from a top-ranked program, with a strong academic record
• Hands-on experience with building and optimizing perception pipelines on embedded GPUs using ROS2 or similar frameworks
• Proficient coding skills in C++ and Python (or equivalent), with a focus on autonomy/perception for industrial platforms

• Field-first mindset, comfortable spending approximately 50% of time on construction sites and adapting to challenging environments
• Deep passion for robotics, autonomy, and building impactful technology in real-world settings

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