JOB SUMMARY

As a Senior Perception Learning Engineer, you will lead 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 on cutting-edge research in perception, SLAM, object detection, world modeling, 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, and scene understanding while architecting 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 perception stacks. You will collaborate across Reinforcement learning teams, Platform software team and systems teams, mentor junior engineers, and contribute to shaping Apptronik’s long-term 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.

ESSENTIAL DUTIES AND RESPONSIBILITIES or KEY ACCOUNTABILITIES

• Lead the design, development, and optimization of perception pipelines for humanoid robots, including object detection, tracking, segmentation, pose estimation, and scene understanding.
• Develop multi-sensor fusion frameworks that integrate cameras, LiDAR, depth sensors, and IMUs for robust real-time perception in dynamic human-centered environments.
• Architect and maintain scalable data pipelines, training infrastructure, and inference frameworks to accelerate model development, evaluation, and deployment.
• Drive research and deployment of deep learning models optimized for humanoid locomotion, manipulation, and human-robot interaction.
• Implement performance profiling, regression testing, and telemetry systems to ensure perception modules meet strict latency, accuracy, and reliability requirements on edge devices.
• Collaborate with planning, control, and hardware teams to define perception-to-action interfaces, ensuring real-time compatibility with locomotion and manipulation pipelines.
• Guide the integration of synthetic data (e.g., simulation frameworks like IsaacSim) with real-world datasets to enhance model generalization and robustness.
• Mentor junior engineers and contribute to best practices in code quality, model versioning, reproducibility, and deployment.

EDUCATION and/or EXPERIENCE

• MS/PhD in Computer Science, Robotics, Computer Engineering, or related field.
• 3-5+ years of experience building and deploying perception systems for robotics, autonomous vehicles, or real-time vision applications.
• Strong background in deep learning for computer vision, with practical expertise in detection, segmentation, multi-object tracking, and 3D perception.
• Hands-on experience with modern AI frameworks (PyTorch, JAX, TensorFlow) and computer vision / multi-modal libraries such as OpenCV, Detectron2, YOLO, and foundation models for perception and language (e.g., SAM, CLIP, DINOv2, Flamingo)
• Proficiency in Python and modern C++, with strong software engineering fundamentals (version control, testing, CI/CD).
• Deep understanding of 3D geometry, camera models, and probabilistic estimation (EKF/UKF, SLAM, VIO).
• Experience deploying optimized models on edge hardware (GPU/NPU/embedded platforms) under compute, latency, and thermal constraints.
• Track record of shipping ML/Perception systems from R&D into production robotics platforms.

Preferred Qualifications

• Experience with humanoid robots, bipedal locomotion, and manipulation tasks.
• Strong classical computer vision skills (geometry-based methods, feature extraction) complementing deep learning approaches.
• 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 models.
• Contributions to open-source robotics or vision software stacks.

PHYSICAL REQUIREMENTS

• Prolonged periods of sitting at a desk and working on a computer
• Must be able to lift 15 pounds at times
• Vision to read printed materials and a computer screen
• Hearing and speech to communicate

JOB SUMMARY

You are the Field Solutions Expert. You don't just service one of the world’s most advanced humanoid robots; you are responsible for the health and resolution of the entire robotic platform. When a challenge exceeds a standard hardware swap, you step in to diagnose complex system integrations, networking hurdles, and software bugs. You are the technical diplomat of GSS, providing the confidence and technical clarity needed to de-escalate high-pressure situations for our global customers.

ESSENTIAL DUTIES AND RESPONSIBILITIES or KEY ACCOUNTABILITIES

• Maximize Solution Availability: Lead high-level Root Cause Analysis (RCA) for systemic issues that impact fleet uptime, moving beyond hardware to solve networking, software, and integration faults.
• The Technical Diplomat: Act as the primary technical point of contact for customer leadership. You provide "calm in the storm," explaining complex technical resolutions to stakeholders and ensuring high customer satisfaction.
• System Validation: Certify that all repairs and deployments meet Apptronik’s rigorous standards before the solution is handed back to the customer.
• Cross-Functional Feedback: Partner with Engineering, Product, and the internal team to drive "Design for Serviceability". You translate field data into actionable product improvements.
• Fleet Strategy: Help to monitor and report on fleet reliability metrics and compliance with Service Level Agreements (SLAs).

SKILLS WE WANT:

• Engineering Depth: A Bachelor’s degree in a technical discipline (Robotics, ME, EE, or CS) or equivalent seasoned work experience in complex systems.
• Proven Experience (2+ years) in servicing and maintaining complex electro-mechanical systems (robotics and automation a plus)
• Advanced Troubleshooting: Deep experience with Linux systems, ROS (Robot Operating System), and networking protocols.
• Demonstrated proficiency with standard electrical diagnostic tools, including DMM, Oscilloscope, and isolation meter
• Stakeholder Management: Exceptional communication skills with the ability to present technical data to non-technical executive audiences.
• Solution Level Thinking: The ability to see the "big picture" of how a robot interacts with a customer's WMS, WES, and local infrastructure.

SKILLS AND REQUIREMENTS

• Valid Passport for frequent international travel.
• Up to 80% (Domestic and International)

EDUCATION and/or EXPERIENCE

• Bachelor’s degree in a technical field or equivalent relevant experience.
• 5+ years of experience in customer-facing technical roles.

PHYSICAL REQUIREMENTS

• Ability to lift 45 pounds.
• Prolonged periods of sitting at a desk and working on a computer 
• Vision to read printed materials and a computer screen
• Hearing and speech to communicate 

The annual salary range is $105,000 - $130,000 base 

JOB SUMMARY

The Facilities Supervisor is responsible for supporting day-to-day facility operations at an assigned location while coordinating with the central Facilities team in Austin. This role provides on-site oversight of facility activities, vendor access, and operational support to ensure the building environment remains safe, functional, and operational.This role operates independently at times and must be capable of addressing facility needs, coordinating vendors, and escalating issues appropriately when support from the central facilities team is required.The position remains hands-on and operational in nature, supporting facility tasks while maintaining visibility into the overall condition and functionality of the site.

ESSENTIAL DUTIES AND RESPONSIBILITIES or KEY ACCOUNTABILITIES

• Provide on-site oversight of daily facility operations at the assigned location
• Perform hands-on facility support tasks including basic repairs, workspace setups, and building upkeep
• Monitor building systems and identify facility issues requiring attention
• Coordinate vendor access and support vendor visits for maintenance or repairs
• Communicate facility issues and operational updates to Facilities leadership
• Support preventative maintenance activities and facility inspections
• Ensure workplace areas remain safe, organized, and functional
• Respond to facility service requests and escalate complex issues when necessary
• Maintain documentation and updates within the company’s ticketing or maintenance system
• Support facility logistics including deliveries, workspace moves, and equipment relocation
• Travel occasionally to other company locations to assist with facility support activities, as needed

SKILLS AND REQUIREMENTS

• Applies experience and practical judgment to complete facility tasks effectively and independently
• Identifies facility issues, evaluates options, and recommends appropriate solutions when needed
• Troubleshoots non-routine facility problems using structured problem-solving approaches
• Understands the impact of facility issues and communicates recommendations to Facilities leadership
• Determines appropriate methods and approaches when addressing new or unfamiliar tasks
• Communicates clearly with both technical and non-technical stakeholders
• Supports efficient use of materials, time, and resources when completing assigned work

EDUCATION and/or EXPERIENCE

• High school diploma or equivalent required
• Trade school training or technical certifications preferred
• Typically requires 4–6 years of experience in facilities maintenance, building operations, or related field

PHYSICAL REQUIREMENTS 

• Ability to perform physical tasks throughout the workday, including standing, walking, bending, kneeling, climbing, and reaching
• Ability to lift, carry, push, or pull up to 50 pounds as required
• Ability to safely use ladders, lifts, power tools, and other facility equipment
• Ability to work in mechanical rooms, warehouses, offices, and other facility spaces
• Vision and hearing sufficient to safely perform job duties and communicate effectively
• Ability to respond to facility emergencies, including outside of normal business hours, as required

The annual salary range is $72,000 - $100,000