Perception Engineer

Brahma Consulting Group; San Francisco (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Brahma Consulting Group is seeking a Perception Engineer with 2-10 years of robotics experience to help build autonomous construction vehicles in challenging real-world environments. You will work at the intersection of hardware, autonomy, and software to move complex heavy machinery with robust perception systems.

You will architect and optimize 3D perception pipelines, build real-time object detection and fusion solutions, and push baselines toward advanced models while ensuring low latency on

Responsibilities

• Architect and build robust 3D perception pipelines for teleoperated and semi-autonomous heavy machinery.
• Develop solid baseline algorithms and evolve them into advanced deep-learning models as necessary.
• Build real-time object detection, classification, and tracking systems to enhance operator situational awareness.
• Calibrate and fuse data across multiple modalities, ensuring spatial and temporal consistency under real-world conditions.
• Optimize algorithms for real-time execution on embedded compute platforms, ensuring low latency, stability, and resilience to edge cases.

Job description

We are looking for a Perception Engineer with 2-10 years of experience to build autonomous construction vehicles. This role is for someone who is deeply passionate about robotics and building, and is excited to work on a mission to fix humanity's heartbeat: construction. We need someone who thrives at the intersection of hardware, autonomy, and real-world chaos, and is eager to see their code move 20 tons of steel.

What will you be doing?

• Architect and build robust 3D perception pipelines for teleoperated and semi-autonomous heavy machinery.
• Develop solid baseline algorithms and evolve them into advanced deep-learning models as necessary.
• Build real-time object detection, classification, and tracking systems to enhance operator situational awareness.
• Calibrate and fuse data across multiple modalities, ensuring spatial and temporal consistency under real-world conditions.
• Optimize algorithms for real-time execution on embedded compute platforms, ensuring low latency, stability, and resilience to edge cases.