Apptronik

1 month ago

Senior Perception Learning Engineer - SLAM

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Drive R&D and deployment of advanced perception and SLAM systems for humanoid robots, focusing on SLAM, visual-inertial odometry, world modeling, and learning-based perception. Build scalable pipelines, fuse multi-modal data (cameras, LiDAR, depth, IMUs), and deliver real-time, edge-optimized autonomy for safe human-robot interaction and deployment at scale.

Location: Sunnyvale

Workplace: Onsite

Employment Type: Full time

Job Function: Education & Training

Key Responsibilities

•Lead the design, development, and optimization of perception and SLAM pipelines for humanoid robots, including visual-inertial odometry, mapping, localization, object detection, tracking, segmentation, pose estimation, and scene understanding.
•Develop multi-sensor fusion frameworks integrating cameras, LiDAR, depth sensors, and IMUs for robust real-time state estimation and mapping in dynamic, human-centered environments.
•Contribute to scalable data pipelines, training infrastructure, and inference frameworks to accelerate model development, evaluation, and deployment.
•Drive research and deployment of learning-based models for SLAM, 3D scene understanding, and perception optimized for humanoid locomotion, manipulation, and human-robot interaction.
•Implement performance profiling, regression testing, and telemetry systems to ensure perception and SLAM modules meet strict latency, accuracy, and reliability requirements on edge devices.

Pay and Benefits

Salary: USD 190,000 - 235,000 annually

Key Requirements

•MS or PhD in Computer Science, Robotics, Computer Engineering, or related field.
•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.
•Hands-on experience with Python and modern C++, with strong software engineering fundamentals (version control, testing, CI/CD).
•Experience with modern AI frameworks (PyTorch, JAX, TensorFlow) and CV/multimodal libraries (OpenCV, Detectron2, YOLO) and foundation models for perception and language (e.g., SAM, CLIP).

Experience:3-5 yearsRoboticsPerceptionSLAMAI

Education:Master's

Skills:PythonC++CI/CDOpenCVDetectron2YOLOPyTorchTensorFlowJAXSAMCLIPDINOv2Flamingo3D geometryEKFUKFProbabilistic estimationEdge computingROS 2

Languages:English

Tech Stack:PythonC++PyTorchJAXTensorFlowOpenCVDetectron2YOLOSAMCLIPDINOv2FlamingoROS 2TensorRTONNX RuntimeGStreamerCI/CDGPUEmbedded

Company Brief

Apptronik

Develops advanced general-purpose robots and robotic limbs for industrial and commercial applications, combining hardware, actuators, and control software to enable versatile, human-scale robot solutions.

Industry: Robotics

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Funding: Series A

Headquarters: Austin, United States

Founded: 2018

Website LinkedIn

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Apptronik

1 month ago

Senior Perception Learning Engineer - SLAM

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Location: Sunnyvale

Workplace: Onsite

Employment Type: Full time

Job Function: Education & Training

Key Responsibilities

•Lead the design, development, and optimization of perception and SLAM pipelines for humanoid robots, including visual-inertial odometry, mapping, localization, object detection, tracking, segmentation, pose estimation, and scene understanding.
•Develop multi-sensor fusion frameworks integrating cameras, LiDAR, depth sensors, and IMUs for robust real-time state estimation and mapping in dynamic, human-centered environments.
•Contribute to scalable data pipelines, training infrastructure, and inference frameworks to accelerate model development, evaluation, and deployment.
•Drive research and deployment of learning-based models for SLAM, 3D scene understanding, and perception optimized for humanoid locomotion, manipulation, and human-robot interaction.
•Implement performance profiling, regression testing, and telemetry systems to ensure perception and SLAM modules meet strict latency, accuracy, and reliability requirements on edge devices.

Pay and Benefits

Salary: USD 190,000 - 235,000 annually

Key Requirements

•MS or PhD in Computer Science, Robotics, Computer Engineering, or related field.
•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.
•Hands-on experience with Python and modern C++, with strong software engineering fundamentals (version control, testing, CI/CD).
•Experience with modern AI frameworks (PyTorch, JAX, TensorFlow) and CV/multimodal libraries (OpenCV, Detectron2, YOLO) and foundation models for perception and language (e.g., SAM, CLIP).

Experience:3-5 yearsRoboticsPerceptionSLAMAI

Education:Master's

Skills:PythonC++CI/CDOpenCVDetectron2YOLOPyTorchTensorFlowJAXSAMCLIPDINOv2Flamingo3D geometryEKFUKFProbabilistic estimationEdge computingROS 2

Languages:English

Tech Stack:PythonC++PyTorchJAXTensorFlowOpenCVDetectron2YOLOSAMCLIPDINOv2FlamingoROS 2TensorRTONNX RuntimeGStreamerCI/CDGPUEmbedded

Company Brief

Apptronik

Industry: Robotics

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Funding: Series A

Headquarters: Austin, United States

Founded: 2018

Website LinkedIn