Computer Vision Software Engineer

About OceanusOceanus Maritime Technologies is building the operating platform for the modern maritime world.Global trade runs on ships, and we're redefining what's possible at sea by leveraging modern technology.We're a small, hands-on team based in El Segundo building full-stack systems that perform in real operating conditions across vessels, ports, and fleets. We focus on practical, deployable technology that brings safety oversight, automation, and coordination to complex maritime environments.Our founding team previously built and operated SpaceX's Autonomous Spaceport Droneships, which are among the most advanced autonomous maritime systems ever deployed. Today, we work with leading U.S. operators to bring that same rigor and systems thinking to the next generation of maritime infrastructure.About the RoleWe'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, between several problem domains, and turning ambitious concepts into reliable deployed systems.Our team is rethinking how the maritime world operates — come help us build the backbone for safer, smarter global shipping.Key ResponsibilitiesDesign, train, and evaluate computer vision models for real-time maritime applications: object detection, tracking, event classification, anomaly detection, and moreOptimize 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 strategiesBuild, maintain, and experiment with robust, real-time pipelines for sensor fusion (cameras, radar, etc.) and multi-modal perceptionCollaborate closely with hardware, software, and marine engineering teams on iterative prototyping, system integration, and field validationImplement tools for debugging, benchmarking, visualization, and automated monitoring of model performance and system reliabilityStay actively engaged with emerging research, tools, and best practices in computer vision and perception—and apply new ideas to product roadmapsContribute to code reviews, technical documentation, and team-wide knowledge sharingSupport deployments and testing in live operational environments, iteratively refining models based on field results and user/operator feedbackMinimum QualificationsBachelor's, Master's, or PhD in Computer Vision, Machine Learning, Robotics, or 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 settingsHighly proficient in Python and/or C++; strong command of deep learning frameworks such as PyTorch and/or TensorFlow, and computer vision libraries like OpenCVDemonstrated expertise across the ML lifecycle: dataset management, model development, testing, optimization, deployment, and monitoringHands-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 mindsetEffective communicator and team collaborator—able to bridge technical and operational conversationsPreferred Skills and ExperienceExperience with sensor fusion (cameras, radar, LIDAR, etc.) and multi-modal perceptionExperience fielding ML models in maritime, robotics, automotive, aerospace, or other remote/harsh environmentsFamiliarity with networking, real-time systems, and remote ops pipelinesPrior work on real-time event detection, anomaly detection, or maritime system integrationWork EnvironmentOn-site with the team at our office in El Segundo, CAOccasional travel to test sites or operator locations as neededCompensation and BenefitsWe are open to a wide range of experience levels. The expected salary range for this role is $130,000 - $220,000. Final compensation will be determined based on experience, skills, and scope of the role. We offer a comprehensive benefits package that includes:Comprehensive medical, dental, and vision coverageGenerous Equity participationFully stocked kitchen and catered lunch every dayOnsite EV chargingFlex Paid time off and company holidays401(k) traditional and roth optionsAdditional benefits that support your health, growth, and well-beingWhy Now — Why OceanusMaritime operations are at the edge of a revolution — new connectivity and compute are finally unlocking remote monitoring, autonomy, and digitization.Regulatory, economic, and geopolitical pressure is accelerating technology adoption, and U.S.-aligned infrastructure is more valuable than ever.Oceanus is not just another vendor — we are building on hard-won operational experience, including work on autonomous maritime systems supporting missions like SpaceX droneships, and have deep operator engagement with strong product-market alignment.You will help form the technical core of a team transforming an industry that quite literally moves the world.J-18808-Ljbffr