Apptronik
Robotics
SeniorLearningPerceptionEngineer-SLAM
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Learning Perception Engineer - SLAM at Apptronik. Skills: SLAM, Perception systems, Deep learning, Robotics. Lead perception and SLAM pipelines design. Develop multi-sensor fusion frameworks”
What You'll Achieve.
Accelerate development of humanoid robots; Deliver deployable, high-performance SLAM/perception stacks; Ensure real-time compatibility; Enhance model generalization and robustness; Meet strict latency requirements; Meet accuracy requirements; Meet reliability requirements
Industry & Context.
Root cause analysis; Troubleshooting
Lift 15 pounds
What They're Looking For.
Must Have
MS/PhD in Computer Science, 3–5+ years building perception/SLAM systems, Background in SLAM, VIO, state estimation, Deep learning for computer vision, Practical expertise in detection, segmentation, Multi-object tracking, 3D perception, Learning-based mapping/localization, Proficiency in Python and C++, Software engineering fundamentals, Deep understanding of 3D geometry, Camera models, probabilistic estimation, Experience deploying models on edge hardware, Track record shipping ML/Perception/SLAM systems
Nice to Have
Experience with humanoid robots, Experience with bipedal locomotion, Experience with manipulation tasks, Experience with modern SLAM frameworks, Learning-based SLAM systems, Classical computer vision skills, Expertise in model acceleration, Quantization or compression, Familiarity with real-time frameworks, Knowledge of synthetic data generation, Domain adaptation techniques, Contributions to open-source robotics/vision
What You'll Do.
Lead perception and SLAM pipelines design
Develop multi-sensor fusion frameworks
Contribute to scalable data pipelines
Drive research of learning-based models
Implement performance profiling
Implement regression testing
Implement telemetry systems
Collaborate with planning teams
Collaborate with control teams
Collaborate with hardware teams
Define perception-to-action interfaces
Guide synthetic data integration
Contribute to best practices
Ensure perception/SLAM meet requirements
How You'll Work.
Team & Collaboration
Reinforcement Learning team; Platform Software team; Systems team; Planning teams; Control teams; Hardware teams
Full Job Description
Apptronik is a human-centered robotics company developing AI-powered robots to support humanity in every facet of life. Our flagship humanoid robot, Apollo, is built to collaborate thoughtfully with people, starting with critical industries such as manufacturing and logistics, with future applications in healthcare, the home, and beyond. We operate at the cutting edge of embodied AI, applying our expertise across the full robotics stack to solve some of society's most important problems. You will join a team dedicated to bringing Apollo to market at scale, tackling the complex challenges like safety, commercialization, and mass production to change the world for the better. JOB SUMMARY You will drive research and development of advanced perception systems that empower Apptronik's humanoid robots to understand and interact with complex human environments. Your work will focus heavily on SLAM, visual-inertial odometry, world modeling, and learning-based perception, alongside object detection and multi-sensor fusion, creating the foundation for robust autonomy in real-world settings. You will design and optimize deep learning models for real-time detection, tracking, segmentation, scene understanding, and state estimation while contributing to scalable pipelines for training, evaluation, and deployment. You will also integrate data from multiple modalities — cameras, LiDAR, depth sensors, and IMUs — into unified world models that support navigation, manipulation, safety, and human-robot interaction. This role requires balancing research innovation with practical engineering to deliver deployable, high-performance SLAM and perception stacks. You will collaborate across Reinforcement Learning, Platform Software, and Systems teams, and contribute to shaping Apptronik's perception and autonomy roadmap. Your work will directly accelerate the development of humanoid robots that can safely operate in human spaces, adapt to dynamic environments, and extend human capability. ES
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