Senior Computer Vision Engineer (AI)

TL;DR

Senior Computer Vision Engineer (AI): Designing and deploying computer vision models and inference pipelines for real-time wildfire detection on cloud and edge devices with an accent on model optimization and spatial reasoning. Focus on building lightweight detection and segmentation models for NVIDIA Jetson and optimizing hybrid edge-cloud AI workflows.

Location: Hybrid (San Francisco, CA) or Remote (US)

Compensation: $195K – $255K

Company

hirify.global is a leader in AI-powered wildfire detection and intelligence, utilizing a network of HD cameras and AI to provide real-time situational awareness for fire agencies and utilities.

What you will do

• Design and implement cloud/edge AI architectures for real-time computer vision applications.
• Develop models for wildfire smoke, vegetation, and asset detection, as well as scene understanding and semantic segmentation.
• Optimize deep learning models for ARM64, CUDA, TensorRT, ONNX, and NVIDIA Jetson platforms.
• Build and optimize hybrid edge-cloud AI workflows to balance latency, bandwidth, and compute efficiency.
• Lead model compression efforts, including quantization, pruning, and knowledge distillation.
• Mentor junior engineers and establish best practices for edge AI and computer vision development.

Requirements

• MS or PhD in Computer Science, Electrical Engineering, Robotics, or a related field.
• 5+ years of industry experience in computer vision or machine learning.
• Strong experience with PyTorch and deploying models to edge devices (e.g., NVIDIA Jetson).
• Deep understanding of CUDA, TensorRT, ONNX, and inference acceleration.
• Proficiency in Python and C++ programming.
• Must be based in the US.

Nice to have

• Experience with outdoor vision systems, autonomous systems, robotics, or geospatial AI.
• Familiarity with PTZ camera systems and multi-camera calibration.
• Experience with spatial AI, scene understanding, or geometric computer vision.
• Knowledge of MLOps and continuous learning pipelines.
• Familiarity with foundation vision models like DINOv2, SAM, or Grounding DINO.

Culture & Benefits

• Eligibility for equity for regular full-time employees.
• Health coverage and retirement or pension contributions.
• Paid time off.
• Hybrid-remote work environment.