Computer Vision Engineer

SR2 | Socially Responsible Recruitment | Certified B Corporation™; San Francisco (CA); On-site; USD 180,000 - 260,000; Full time

Job summary

SR2 | Socially Responsible Recruitment | Certified B Corporation™ seeks a Senior/Staff Computer Vision Engineer to advance autonomous robotic platforms with real-time perception capabilities. You will influence sensor fusion, SLAM, and ML-based CV, collaborating across hardware and software teams to deploy robust perception systems.

The role focuses on building production-grade computer vision capabilities, tackling real-world conditions, and supporting the full lifecycle from algorithm

Qualifications

• Experience building production-grade computer vision systems.
• Strong background in real-time perception pipelines for autonomous platforms.
• Proficiency with sensor fusion and SLAM techniques in dynamic environments.

Responsibilities

• Develop and deploy real-time perception systems for autonomous robotic platforms.
• Build production-grade computer vision capabilities from development to deployment and testing.
• Contribute across the full lifecycle from algorithm development to deployment and validation.

Skills

Sensor fusion

SLAM

Computer vision

Real-time systems

Machine learning

Job description

I'm currently partnered with a rapidly growing defense technology startup developing next-generation autonomous systems designed to operate in highly dynamic real-world environments.

The company vertically integrates hardware and software to build advanced robotic platforms leveraging computer vision, embedded systems, controls, and electromechanical design to solve complex national security challenges

Backed by highly technical founders with multiple successful exits, the team operates with a deeply engineering-first culture focused on speed, technical excellence, and deploying systems that have real-world impact

They are seeking a Senior/Staff Computer Vision Engineer to help develop and deploy real-time perception systems for autonomous robotic platforms. This individual will play a key role in building production-grade computer vision capabilities that operate reliably in challenging real-world conditions, working across the full lifecycle from algorithm development through deployment and testing.

• Sensor fusion
• SLAM
• Classical and Machine Learning based computer vision