Senior Computer Vision Engineer - Edge AI for Battlefield

Slope; Washington (District of Columbia); On-site; USD 191,000 - 292,000; Full time

Job summary

Anduril Industries in the United States seeks a Computer Vision Engineer for the Frontier AI team to translate multi-sensor inputs into actionable battlefield understanding. You will design and deploy edge-friendly CV models that operate in mission-critical environments.

Work includes integrating state-of-the-art ML algorithms into the Lattice platform, building evaluation datasets, and collaborating with software, autonomy, and deployment groups to turn research into deployable capabilities for

Qualifications

• 5+ years building computer vision, perception, or ML systems in production or research settings.
• Strong experience with deep learning, object detection, and tracking frameworks.
• Proficient in Python and creating reliable research-to-production workflows.
• Eligible to obtain and maintain an active U.S. Secret security clearance.

Responsibilities

• Design, train, and deploy CV and perception models for edge environments.
• Build multi-sensor perception systems fusing imagery and sensor data.
• Improve fidelity and robustness of Lattice platform's scene understanding.
• Integrate ML algorithms into production systems used by customers.
• Develop evaluation datasets and benchmarks for field performance.
• Collaborate with software, autonomy, product, and deployment teams.
• Identify perception problems and drive product impact.

Skills

Deep learning

Object detection

Object tracking

Python

Edge compute

ML deployment

Research workflows

Education

CS/Robotics/EE/ML

Tools

TensorFlow

PyTorch

OpenCV

Job description

Anduril Industries in the United States seeks a Computer Vision Engineer for the Frontier AI team to translate multi-sensor inputs into actionable battlefield understanding. You will design and deploy edge-friendly CV models that operate in mission-critical environments.

Work includes integrating state-of-the-art ML algorithms into the Lattice platform, building evaluation datasets, and collaborating with software, autonomy, and deployment groups to turn research into deployable capabilities for