Apptronik

Apptronik

Senior Perception Learning Engineer - SLAM

Sunnyvale, C A · Senior

Sponsorship not specified$190k-$235kDetected 21 days ago
PythonC++CI/CDMachine LearningDeep LearningTensorFlowPyTorchData EngineeringComputer VisionLogisticsRoboticsSensorsManual TestingResearch

About the role

  • 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.
  • 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.
  • ESSENTIAL DUTIES AND RESPONSIBILITIES or KEY ACCOUNTABILITIES

Responsibilities

  • Apptronik is a human-centered robotics company developing AI-powered robots to support humanity in every facet of life.
  • You will drive research and development of advanced perception systems that empower Apptronik's humanoid robots to understand and interact with complex human environments.
  • 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.
  • Collaborate with planning, control, and hardware teams to define perception-to-action interfaces, ensuring real-time compatibility with locomotion and manipulation pipelines.
  • Implement performance profiling, regression testing, and telemetry systems to ensure perception and SLAM modules meet strict latency, accuracy, and reliability requirements on edge devices.

Requirements

  • Proficiency in Python and modern C++, with strong software engineering fundamentals (version control, testing, CI/CD).

Nice to have

  • Experience with humanoid robots, bipedal locomotion, and manipulation tasks.
  • Expertise in model acceleration, quantization, or compression (TensorRT, ONNX Runtime).
  • Familiarity with real-time frameworks and middleware such as ROS 2, GStreamer, or zero-copy pipelines.
  • Knowledge of synthetic data generation and domain adaptation techniques for training perception and SLAM models.
  • Prolonged periods of sitting at a desk and working on a computer
  • Must be able to lift 15 pounds at times
  • Hearing and speech to communicate
  • This is a direct hire.

Compensation

  • The annual salary range is $190,000 - $235,000

Benefits

  • 3-5+ years building and shipping perception and/or SLAM systems in robotics or real-time vision applications.
  • Strong background in SLAM, VIO, probabilistic state estimation, and deep learning for computer vision.
  • Vision to read printed materials and a computer screen
  • 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.
  • You will collaborate across Reinforcement Learning, Platform Software, and Systems teams, and contribute to shaping Apptronik's perception and autonomy roadmap.
  • Drive research and deployment of learning-based models for SLAM, 3D scene understanding, and perception optimized for humanoid locomotion, manipulation, and human-robot interaction.
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This listing is sourced directly from Apptronik's careers page and normalized into a canonical job model.