Computer Vision Software Engineer

About The Role

We’re looking for a versatile and pragmatic Computer Vision / Perception Engineer to help deliver robust, real‑world AI for our edge‑intelligent maritime platform. In this role, you’ll have the opportunity to work hands‑on across the stack—from designing novel vision algorithms and managing real‑world datasets to optimizing perception systems for edge devices running on challenging commercial vessels. You’ll thrive if you enjoy a broad set of responsibilities spanning several problem domains and turning ambitious concepts into reliable deployed systems.

• Design, train, and evaluate computer vision models for real‑time maritime applications: object detection, tracking, event classification, anomaly detection, and more.
• Optimize perception model architectures and inference pipelines for constrained edge devices (onboard compute, limited connectivity, heterogeneous sensors).
• Develop and curate diverse datasets (standard, field‑collected, simulated, and synthetic), including data augmentation and domain adaptation strategies.
• Build, maintain, and experiment with robust, real‑time pipelines for sensor fusion (cameras, radar, etc.) and multi‑modal perception.
• Collaborate closely with hardware, software, and marine engineering teams on iterative prototyping, system integration, and field validation.
• Implement tools for debugging, benchmarking, visualization, and automated monitoring of model performance and system reliability.
• Stay actively engaged with emerging research, tools, and best practices in computer vision and perception—and apply new ideas to product roadmaps.
• Contribute to code reviews, technical documentation, and team‑wide knowledge sharing.
• Support deployments and testing in live operational environments, iteratively refining models based on field results and user/operator feedback.

• Bachelor’s, Master’s, or PhD in Computer Vision, Machine Learning, Robotics, or a relevant field (bachelor’s considered with strong relevant experience).
• 2+ years of experience developing and deploying computer vision and/or perception systems in production or field settings.
• Highly proficient in Python and/or C++; strong command of deep learning frameworks such as PyTorch and/or Tensor Flow, and computer vision libraries like OpenCV.
• Demonstrated expertise across the ML lifecycle: dataset management, model development, testing, optimization, deployment, and monitoring.
• Hands‑on experience with edge or embedded device ML (model compression, inference optimization, hardware integration).
• Comfort working with mixed data types (images, video, time‑series, sensor data).
• Strong experimental, debugging, and problem‑solving mindset.
• Effective communicator and team collaborator—able to bridge technical and operational conversations.

• Experience with sensor fusion (cameras, radar, LIDAR, etc.) and multi‑modal perception.
• Experience fielding ML models in maritime, robotics, automotive, aerospace, or other remote/harsh environments.
• Familiarity with networking, real‑time systems, and remote ops pipelines.
• Prior work on real‑time event detection, anomaly detection, or maritime system integration.

• On‑site with the team at our office in El Segundo, CA.
• Occasional travel to test sites or operator locations as needed.

• Salary range: $130,000 – $220,000, determined by experience, skills, and role scope.
• Comprehensive medical, dental, and vision coverage.
• Generous equity participation.
• Fully stocked kitchen and catered lunch every day.
• On‑site EV charging.
• Flex paid time off and company holidays.
• 401(k) traditional and Roth options.
• Additional benefits that support health, growth, and well‑being.