Senior Perception Engineer

Job Description

• This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Perception Engineer based in the United States. This role is focused on advancing the perception stack for autonomous driving systems, with direct impact on how intelligent vehicles interpret and interact with complex real-world environments. You will work at the intersection of computer vision, sensor fusion, and robotics, developing algorithms that power object detection, tracking, localization, and mapping. The position combines hands-on research and engineering, requiring both strong theoretical depth and practical deployment experience on real vehicle fleets. You will contribute to multimodal perception systems integrating cameras, LiDAR, radar, GNSS, and IMU data. The environment is highly technical, research-driven, and collaborative, with a strong emphasis on innovation and real-world validation. This is an opportunity to shape next-generation autonomous systems that operate safely and reliably at scale.
• Accountabilities In this role, you will lead the design, development, and deployment of advanced perception algorithms for autonomous driving systems while guiding technical direction within the team. You will contribute to both research and production-level implementation, ensuring robust performance in real-world conditions. Research, design, and develop perception algorithms for autonomous driving systems Prototype and deploy solutions for object detection, localization, mapping, and multi-object tracking Build and optimize multimodal sensor fusion and calibration systems using cameras, LiDAR, radar, GNSS, and IMUs Develop simulation frameworks and analyze gaps between simulated and real-world performance Contribute to algorithm design discussions and provide technical leadership within the perception team Invent and improve models, tools, and methods for complex autonomous vehicle perception challenges Analyze research data and contribute novel ideas to advance system performance Stay current with advancements in computer vision and pattern recognition and share insights with the team Requirements You bring a strong academic foundation in engineering or computer vision, combined with hands-on industry experience in perception systems and autonomous driving technologies. You are comfortable operating in a fast-paced research and engineering environment where innovation translates directly into production systems. Master’s degree in Electrical Engineering, Computer Engineering, Computer Vision, or related field 4+ years of non-academic, industry experience in perception or autonomous systems Strong background in computer vision, sensor fusion, and machine perception algorithms Experience with object detection, localization, mapping, and multi-object tracking Familiarity with multimodal sensors including cameras, LiDAR, radar, GNSS, and IMUs Experience developing simulation systems and analyzing real-world performance gaps Strong programming skills and experience building production-grade ML/AI systems Ability to lead technical discussions and collaborate in a research-driven environment Strong analytical thinking and up-to-date knowledge of modern computer vision research Benefits Competitive compensation aligned with senior-level perception engineering roles Remote-first work environment across the United States Opportunity to work on cutting-edge autonomous driving and robotics systems High-impact role contributing directly to real-world autonomous vehicle deployment Collaborative, research-driven engineering culture Access to advanced sensor datasets and large-scale autonomous vehicle platforms Strong focus on innovation, experimentation, and technical ownership
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