SR2 | Socially Responsible Recruitment | Certified B Corporation™
Computer Vision Engineer
SR2 | Socially Responsible Recruitment | Certified B Corporation™, Washington, District of Columbia, us, 20022
SR2 | Socially Responsible Recruitment | Certified B Corporation™ provided pay range
This range is provided by SR2 | Socially Responsible Recruitment | Certified B Corporation™. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range $180,000.00/yr - $250,000.00/yr
Direct message the job poster from SR2 | Socially Responsible Recruitment | Certified B Corporation™
Connecting the best Computer Vision, ML and Embedded Engineering talent with leading Autonomous Systems companies. Company Overview
We are a U.S.-based autonomous systems company developing cutting-edge unmanned vehicles for government and commercial applications. Our platforms leverage advanced AI, machine learning, and computer vision to deliver real-time perception, navigation, and situational awareness in complex environments.
Team - Perception & Autonomy
The Perception & Autonomy team builds the algorithms that allow unmanned vehicles to see, understand, and react to the world. The team works on real-time object detection, tracking, sensor fusion, and autonomous navigation, integrating software across multiple vehicle platforms and sensor types.
Role - AI/ML Computer Vision Engineer We are seeking a highly skilled AI/ML Computer Vision Engineer to design, develop, and deploy advanced perception algorithms for autonomous vehicles. You will work on cutting-edge computer vision and machine learning systems, contributing to both research and operational deployment.
Location:
On-site, Washington, D.C.
Key Responsibilities
Design, implement, and optimize computer vision and ML algorithms for object detection, classification, tracking, and scene understanding.
Integrate perception algorithms with autonomous vehicle platforms, including sensor fusion pipelines (LiDAR, radar, cameras).
Develop and maintain datasets, training pipelines, and evaluation metrics for ML models.
Work closely with vehicle systems and software teams to ensure reliable, real-time performance.
Contribute to research and prototyping of novel perception and autonomy methods.
Participate in testing, validation, and simulation campaigns to evaluate algorithm performance in realistic environments.
Document methodologies, results, and operational guidance for software deployment.
Present technical results to cross-functional teams and stakeholders.
Required Qualifications
Bachelor’s or higher in Computer Science, Robotics, Electrical Engineering, or a related field.
5+ years of experience in computer vision, AI, or machine learning applied to real-world systems.
Strong proficiency in Python and/or C++ for ML/vision applications.
Experience with deep learning frameworks (TensorFlow, PyTorch, or equivalent).
Expertise in classical and modern computer vision techniques (object detection, tracking, segmentation).
Experience with point cloud processing and 3D perception (LiDAR, radar, depth sensors) is a plus.
Familiarity with ROS, autonomous vehicle software stacks, or real-time systems.
Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.
Preferred Qualifications
Advanced degree (MS/PhD) in relevant field.
Experience with embedded ML, edge computing, or GPU-accelerated deployment.
Knowledge of sensor calibration, SLAM, or multi-sensor fusion pipelines.
Prior experience in defense, robotics, or autonomous vehicle systems
Seniority level Mid-Senior level
Employment type Full-time
Job function Aviation and Aerospace Component Manufacturing, Robotics Engineering, and Defense and Space Manufacturing
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Base pay range $180,000.00/yr - $250,000.00/yr
Direct message the job poster from SR2 | Socially Responsible Recruitment | Certified B Corporation™
Connecting the best Computer Vision, ML and Embedded Engineering talent with leading Autonomous Systems companies. Company Overview
We are a U.S.-based autonomous systems company developing cutting-edge unmanned vehicles for government and commercial applications. Our platforms leverage advanced AI, machine learning, and computer vision to deliver real-time perception, navigation, and situational awareness in complex environments.
Team - Perception & Autonomy
The Perception & Autonomy team builds the algorithms that allow unmanned vehicles to see, understand, and react to the world. The team works on real-time object detection, tracking, sensor fusion, and autonomous navigation, integrating software across multiple vehicle platforms and sensor types.
Role - AI/ML Computer Vision Engineer We are seeking a highly skilled AI/ML Computer Vision Engineer to design, develop, and deploy advanced perception algorithms for autonomous vehicles. You will work on cutting-edge computer vision and machine learning systems, contributing to both research and operational deployment.
Location:
On-site, Washington, D.C.
Key Responsibilities
Design, implement, and optimize computer vision and ML algorithms for object detection, classification, tracking, and scene understanding.
Integrate perception algorithms with autonomous vehicle platforms, including sensor fusion pipelines (LiDAR, radar, cameras).
Develop and maintain datasets, training pipelines, and evaluation metrics for ML models.
Work closely with vehicle systems and software teams to ensure reliable, real-time performance.
Contribute to research and prototyping of novel perception and autonomy methods.
Participate in testing, validation, and simulation campaigns to evaluate algorithm performance in realistic environments.
Document methodologies, results, and operational guidance for software deployment.
Present technical results to cross-functional teams and stakeholders.
Required Qualifications
Bachelor’s or higher in Computer Science, Robotics, Electrical Engineering, or a related field.
5+ years of experience in computer vision, AI, or machine learning applied to real-world systems.
Strong proficiency in Python and/or C++ for ML/vision applications.
Experience with deep learning frameworks (TensorFlow, PyTorch, or equivalent).
Expertise in classical and modern computer vision techniques (object detection, tracking, segmentation).
Experience with point cloud processing and 3D perception (LiDAR, radar, depth sensors) is a plus.
Familiarity with ROS, autonomous vehicle software stacks, or real-time systems.
Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.
Preferred Qualifications
Advanced degree (MS/PhD) in relevant field.
Experience with embedded ML, edge computing, or GPU-accelerated deployment.
Knowledge of sensor calibration, SLAM, or multi-sensor fusion pipelines.
Prior experience in defense, robotics, or autonomous vehicle systems
Seniority level Mid-Senior level
Employment type Full-time
Job function Aviation and Aerospace Component Manufacturing, Robotics Engineering, and Defense and Space Manufacturing
Referrals increase your chances of interviewing at SR2 | Socially Responsible Recruitment | Certified B Corporation™ by 2x
#J-18808-Ljbffr