Remote Edge AI/ML Engineer for Autonomous Robotics

Frontdoor Defense; New Jersey; Hybrid; USD 120,000 - 180,000; Full time

Job summary

Latent AI is seeking an AI/ML Engineer specialized in computer vision and robotics to build and deploy production-grade edge ML pipelines for autonomous robots and drones. You will develop real-time detection models, optimize inference latency, and integrate perception and navigation across distributed edge hardware.

Ideal candidates have Python and PyTorch expertise, experience with CUDA and TensorRT, and a track record of shipping from research to production.

Qualifications

• Fluent in Python and PyTorch for CV/robotics.
• 3–5 years industry experience in ML/AI.
• Experience deploying edge ML systems.
• Familiar with CI/CD, testing and docs.
• US citizenship; NJ/DC based or hybrid work.

Responsibilities

• Design, train, and deploy computer vision models for edge devices.
• Optimize inference speed on edge hardware (CUDA, TensorRT).
• Integrate ML models with robotics perception and navigation.
• Manage containerized edge deployments with Docker/Kubernetes.
• Drive performance improvements and production readiness.

Skills

Python

PyTorch

Computer Vision

Robotics

CUDA

TensorRT

Docker

Kubernetes

CI/CD

Edge Deployment

Tools

Docker

Kubernetes

CUDA

TensorRT

Job description

Latent AI is seeking an AI/ML Engineer specialized in computer vision and robotics to build and deploy production-grade edge ML pipelines for autonomous robots and drones. You will develop real-time detection models, optimize inference latency, and integrate perception and navigation across distributed edge hardware.

Ideal candidates have Python and PyTorch expertise, experience with CUDA and TensorRT, and a track record of shipping from research to production.