Autonomous Machinery Perception ML Engineer: Equity & PTO

Agtonomy; South San Francisco (CA); On-site; USD 200,000 - 280,000; Full time

Benefits offered by this job

Stock Options

Unlimited PTO

401k Plan

Job summary

Agtonomy seeks an ML engineer to create perception systems that give autonomous machines human-like awareness in rugged environments. You will transform noisy camera and LiDAR data into robust 3D scene understanding for safe operation on heavy equipment worldwide.

You will push beyond bounding boxes toward dense representations, deploy models on embedded hardware, and contribute to production-grade software with a strong emphasis on performance and safety.

Qualifications

• MS/PhD or equivalent with strong research background in computer vision and perception systems.
• Experience building and deploying perception models (detection, segmentation, BEV, 3D scene understanding).
• Fluency adapting and distilling large pre-trained vision models.
• Experience with multi-sensor integration (camera, LiDAR, radar) and sensor fusion.
• Proficient Python development for production real-time systems.

Responsibilities

• Develop real-time perception models for open-world obstacle and terrain understanding.
• Build multi-modal fusion that combines camera and LiDAR into a unified 3D/BEV representation, robust to occlusions and sensor degradation.
• Optimize models for low-latency inference on resource-constrained hardware.
• Design auto-labeling pipelines leveraging foundation models and teacher-student distillation.
• Design data and evaluation pipelines for large multi-sensor datasets with strong visualization tooling.
• Analyze performance metrics and iterate to improve accuracy and efficiency of perception subsystems.

Skills

Python

PyTorch

TensorFlow

OpenCV

Multi-sensor fusion

CUDA

Real-time inference

Education

MS/PhD in Computer Science, AI, or related field

6+ years of industry experience in vision-based perception systems

Tools

TensorRT

CUDA

Job description

Agtonomy seeks an ML engineer to create perception systems that give autonomous machines human-like awareness in rugged environments. You will transform noisy camera and LiDAR data into robust 3D scene understanding for safe operation on heavy equipment worldwide.

You will push beyond bounding boxes toward dense representations, deploy models on embedded hardware, and contribute to production-grade software with a strong emphasis on performance and safety.