Autonomous Driving CV Engineer — Remote/Hybrid

Sapios; Sacramento (CA); Hybrid; USD 120,000 - 190,000; Full time

Benefits offered by this job

Flexible hybrid/remote setup

Job summary

Sapios seeks a Computer Vision Engineer to join the core engineering team and advance the ARTS platform. You will design and optimize CV pipelines for object detection, lane and sign recognition, and behavior analysis, while fusing data from multiple sensors and enabling real-time mobile inference.

You will collaborate with AI researchers and robotics engineers to deploy scalable training/evaluation pipelines on large driving datasets, and contribute to patents and collaborations driven by

Qualifications

• Strong background in computer vision, deep learning, or robotics.
• Hands-on experience with PyTorch, TensorFlow, or ONNX.
• Experience with object detection/tracking (YOLO, DETR, etc.) and scene understanding.
• Solid programming skills in Python (C++/Swift is a plus).
• Experience with real-time systems or edge deployment (CoreML, TFLite, ONNX Runtime, NVIDIA GPUs).

Responsibilities

• Design, implement, and optimize computer vision pipelines (object detection, lane detection, sign recognition, behavior recognition).
• Develop methods to fuse data from multiple sensors (video, IMU, GPS, LiDAR).
• Contribute to real-time inference systems on mobile devices (iPhone + GPU acceleration).
• Collaborate with AI researchers and robotics engineers to integrate vision into the ARTS platform.
• Work with large-scale datasets of driving behavior and create scalable training/evaluation pipelines.
• Publish and present work internally and externally (patents, research collaborations).

Skills

Computer Vision

Deep Learning

Robotics

Python

Edge Deployment

Problem-Solving

Tools

PyTorch

TensorFlow

ONNX

Job description

Sapios seeks a Computer Vision Engineer to join the core engineering team and advance the ARTS platform. You will design and optimize CV pipelines for object detection, lane and sign recognition, and behavior analysis, while fusing data from multiple sensors and enabling real-time mobile inference.

You will collaborate with AI researchers and robotics engineers to deploy scalable training/evaluation pipelines on large driving datasets, and contribute to patents and collaborations driven by