Principal / Staff Robotics Perception Engineer (AI & Computer Vision)

Location: San Francisco Bay Area, hybrid

Company

hirify.global builds an AI-powered operating system for physical retail, combining autonomous robots, computer vision, machine learning, data infrastructure, and customer-focused product design.

What you will do

• Lead the design, evaluation, integration, and optimization of production perception pipelines for Tally robots, including detection, segmentation, depth estimation, tracking, sensor fusion, localization, and camera calibration.
• Integrate computer vision models with robot software to improve navigation, localization, scene understanding, autonomy, and system reliability.
• Profile and optimize real-time neural network inference on robot hardware using Python, C++, ONNX, TensorRT, CUDA, and embedded GPU workflows.
• Research and apply visual SLAM, visual odometry, open-vocabulary detection and segmentation, multimodal perception, and simulation techniques.
• Define benchmarks connecting model quality with latency, compute, uptime, navigation success, localization robustness, and customer-facing accuracy.
• Diagnose field failures using robot logs, imagery, maps, telemetry, and model outputs while providing technical leadership, architecture guidance, code reviews, and mentorship.

Requirements

• 7+ years of experience in robotic perception, computer vision, machine learning, autonomous systems, or production robotics.
• Strong Python and C++ skills in Linux-based development environments.
• Hands-on experience with ROS and/or ROS2, robot sensor pipelines, and deployed robotics systems.
• Experience with PyTorch, TensorFlow, ONNX, TensorRT, CUDA, or similar model training and inference tools.
• Experience with object detection, segmentation, depth estimation, sensor fusion, calibration, visual localization, or SLAM.
• Experience deploying real-time AI models on embedded systems, edge GPUs, robots, or other constrained hardware, plus experience with LLM-assisted and agentic programming techniques.

Nice to have

• Experience with AMRs, autonomous vehicles, drones, warehouse robotics, industrial automation, or service robots.
• Experience with stereo, RGBD, LiDAR, fisheye, or depth sensors and multi-camera calibration.
• Knowledge of visual SLAM, visual odometry, map alignment, path planning, or localization in dynamic indoor environments.
• Experience with NVIDIA Isaac Sim, Isaac ROS, Omniverse, Jetson/Orin, or GPU-accelerated robotics pipelines.
• Experience taking research prototypes into production robotics software and building fleet-scale perception evaluation and debugging tools.

Culture & Benefits

• Customer-centric, results-driven, empathetic, transparent, agile, and innovative working principles.
• Collaboration across Computer Vision, Robotics Software, Product, Customer Success, Field Operations, and executive stakeholders.
• Potential equity compensation in addition to medical, financial, and other benefits.
• Compensation varies by market location and individual qualifications.