Perception Engineer (Robotics)

Location: Full-time, on-site at Sunnyvale HQ, California; no relocation provided.

Base salary: $240,000–$275,000 per year, depending on experience.

Company

hirify.global builds autonomous security machines, AI-driven software, and managed security services as an integrated autonomous security force.

What you will do

• Design, train, and deploy 3D perception models for object detection, segmentation, scene understanding, and multi-object tracking using LiDAR, camera, thermal, and radar data.
• Own the ML pipeline from large-scale data curation and annotation strategy through training, TensorRT/CUDA optimization, and real-time deployment on edge compute.
• Build persistent cross-sensor identity tracking for people, vehicles, and license plates across camera handoffs, patrol legs, and time.
• Implement evidence-first capture, including pre- and post-event clips, full-frame and cropped media, and structured replay-safe detection outputs.
• Integrate vision-language models for scene narration, anomaly reasoning, and long-tail incident understanding.
• Drive architecture, data strategy, roadmap, evaluation metrics, and technical mentoring across robotics, ML, and systems engineering.

Requirements

• 7+ years of hands-on experience at an OEM, autonomous vehicle company, physical security platform, or robotics technology company shipping perception software to production.
• Deep expertise in 3D computer vision, including LiDAR/camera 3D object detection, point cloud processing, multi-view geometry, and sensor fusion.
• Strong ML fundamentals with CNNs, Transformers, and multi-task architectures, plus production deployment experience with TensorRT, ONNX, and CUDA optimization.
• Fluency in C++ for real-time systems and Python.
• Experience with ROS2 and simulation environments such as CARLA and Isaac.
• Demonstrated ability to take models from research to deployed, real-world systems operating under operational constraints.

Nice to have

• Experience fine-tuning, prompting, or integrating vision-language models into perception pipelines for scene understanding or anomaly narration.
• Familiarity with Vision-Language-Action or end-to-end policy models mapping sensor observations to robot actions.
• Experience with ALPR, face recognition, or ReID systems in deployed security or automotive contexts.
• Familiarity with evidence integrity, chain-of-custody media, or tamper-evident capture pipelines.
• Publications or open-source contributions in 3D computer vision, embodied AI, or autonomous systems.
• MS or PhD in Computer Science, Robotics, Electrical Engineering, or a related field.

Culture & Benefits

• Full-time, on-site work at the Sunnyvale headquarters.
• Medical, dental, and vision benefits.
• 401(k) and paid time off.
• Stock options.