Computer Vision and 3D Perception Engineer

About The Company Wayve is at the forefront of autonomous driving technology, specializing in Advanced Driver Assistance Systems (ADAS) engineering. Our teams develop perception and intelligence systems that enable vehicles to navigate and interpret their environment in real-world conditions. We are committed to building innovative solutions that enhance safety, reliability, and efficiency in autonomous driving. With a focus on end-to-end development, we integrate high-quality data creation, computer vision, and 3D perception models to deliver impactful products. Our collaborative environment fosters innovation, continuous learning, and a passion for transforming mobility through cutting-edge AI and machine learning technologies. About The Role We are seeking a talented and motivated Computer Vision and 3D Perception Engineer to join our ADAS engineering team. In this role, you will be responsible for training, debugging, and enhancing perception models that power driver assistance features. You will work across the entire machine learning lifecycle, from data collection and processing to model training, evaluation, and iteration. A key aspect of your role will involve developing scalable data pipelines, including auto-labeling and pseudo-labeling techniques, to accelerate model development and improve system performance. Your contributions will directly impact the accuracy and robustness of core perception capabilities such as object detection, classification, lane detection, and traffic sign recognition, both for online in-car applications and offline data analysis. This position offers an exciting opportunity to work on real-world problems, collaborate with cross-disciplinary teams, and contribute to the future of autonomous driving technology. Qualifications Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Robotics, or a related fieldProven experience in building and deploying computer vision deep learning systemsStrong understanding of 3D perception concepts, including LiDAR processing, multi-view geometry, tracking, and 3D reconstructionHands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or similarExperience with data pipeline development, auto-labeling, and pseudo-labeling techniquesDemonstrated ability to own projects end-to-end, from data collection to model evaluation and deploymentPractical knowledge of evaluation metrics and performance optimization for real-time systemsExcellent problem-solving skills and the ability to work under real product constraintsStrong communication skills and ability to collaborate effectively within a multidisciplinary team Responsibilities Train, debug, and improve computer vision and 3D perception models for ADAS applicationsDevelop and maintain scalable data pipelines, including auto-labeling and pseudo-labeling workflowsContribute to the development of core perception capabilities such as detection, classification, and instance segmentationWork on offline pipelines like tracking and 3D reconstruction to enhance data quality and coverageEvaluate model performance using clear metrics and iterate to address system underperformanceCollaborate with cross-functional teams to prioritize tasks based on system performance and product needsImplement solutions that meet real-world constraints for in-car latency and compute limitationsParticipate in continuous learning, research, and development to stay updated with the latest advancements in perception and autonomous driving Benefits Competitive annual salaries benchmarked against market standardsMeaningful equity options, sharing in the ownership and success of WayveRelocation support and visa sponsorship where applicableHybrid working model combining in-office collaboration and remote work flexibilityCore working hours to support work-life balanceOpportunities to work hands-on in vehicle workshops and labsLearning and development budgets to support training, conferences, and career growthComprehensive health benefits including health insurance, dental coverage, and wellbeing programsEnhanced maternity and paternity leave policiesRetirement or pension plans where applicableAccess to mental health resources, therapists, and wellbeing partnershipsTeam socials and a collaborative work environment fostering innovation and community Equal Opportunity Wayve is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, ethnicity, gender, age, sexual orientation, disability, or any other protected characteristic. We encourage applicants from all backgrounds to apply and look forward to welcoming talented individuals who are passionate about advancing autonomous driving technology.