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Apptronik

Develops AI-powered humanoid robots for manufacturing

Staff Perception Hardware Engineer

Hardware Systems IntegrationConfirmed live in the last 24 hours
Full-timeAustin, TX, USANo salary listedIn-person

About the Job

Requirements

  • A Master’s or Ph.D. degree in Electrical Engineering, Optical Engineering, Computer Engineering, or a related field, with 8 or more years of hands-on experience integrating and shipping complex vision hardware systems for robotics, autonomous vehicles, or advanced AR/VR platforms.
  • A proven track record of taking complex perception hardware, including custom-defined sensor modules, from breadboard through Design Verification Testing and mass production.
  • Proven experience working directly with optical vendors, CMOS manufacturers, and contract manufacturers to define, build, and test custom camera or sensor modules.
  • Expert-level proficiency with high-end lab equipment, including high-bandwidth oscilloscopes, logic analyzers, and Time-Domain Reflectometers; ability to diagnose ground loops, electromagnetic interference noise, and intermittent signal-integrity issues.
  • Deep practical understanding of CMOS sensor tuning, optical lens artifacts such as flare, ghosting, and distortion, and physical mitigation within tight mechanical enclosures.
  • Mastery of the linear algebra and 3D geometry underlying multi-camera arrays, stereo baselines, and visual-inertial sensor fusion, and ability to write Python or C++ scripts to validate these models on real hardware.
  • Ability to lead technical initiatives and align cross-functional stakeholders without direct reporting authority, using empirical lab data to drive decisions.
  • Ability to work effectively in a fast-paced, high-growth environment and determine when a design is robust enough for real-world deployment.
  • Ability to sit for prolonged periods while working at a desk and computer, lift 15 pounds at times, read printed materials and computer screens, and communicate through hearing and speech.

Responsibilities

  • Lead physical integration of the robot’s visual perception stack and transition prototype designs into validated, production-ready camera assemblies that meet field-of-view, thermal, and mechanical-stability targets.
  • Define electrical, optical, and mechanical specifications for custom sensor modules when off-the-shelf components do not meet requirements, and drive optical vendors and contract manufacturers through production while ensuring adherence to company standards.
  • Architect and own bring-up, Design Verification Testing, and End-of-Line test plans for custom sensor modules, ensuring validation before integration into the humanoid platform.
  • Own image quality on the robot and perform hands-on image signal processor tuning, including auto-exposure, white balance, and tone mapping, in real-world environments to meet machine-learning model and human-teleoperation requirements.
  • Lead electrical bring-up and validation of the multi-gigabit video backbone, including GMSL2/3 and FPD-Link, and resolve system-level electromagnetic interference and electromagnetic compatibility issues using high-speed oscilloscopes and analyzers to diagnose frame drops and signal-integrity problems across moving robot joints.
  • Implement and measure hardware synchronization across cameras, LiDAR, and inertial measurement units; verify sub-microsecond timing on the physical robot using oscilloscopes and custom test fixtures to support visual-inertial odometry.
  • Design, build, and deploy physical calibration fixtures and algorithms to align the optical system; resolve intrinsic and extrinsic calibration drift and scale the calibration process from the research lab to the factory.
  • Adjudicate technical tradeoffs among Industrial Design, Mechanical, and Thermal teams, using physical testing and prototyping to resolve conflicts among surface aesthetics, sensor field-of-view constraints, and thermal dissipation requirements.
  • Lead cross-functional problem-solving to resolve critical line-down or launch-blocking hardware bugs, and mentor senior and junior engineers in physical testing and root-cause analysis.

About the Company

Apptronik

Develops AI-powered humanoid robots for manufacturing

Apptronik builds Apollo humanoid robots powered by AI to work with people in manufacturing, logistics, and planned expansion to retail, healthcare, and home. Apollo robots perform physical tasks such as transporting components, sorting, and kitting, working alongside human workers. They differentiate themselves through a human-centered approach linked to the UT Austin robotics lineage and NASA’s Valkyrie, plus partnerships with Mercedes-Benz, GXO Logistics, Jabil, and Google DeepMind Gemini Robotics, with strong funding to scale production and training. Their goal is to scale Apollo deployments to enable safer, more efficient collaboration between humans and robots across multiple sectors.

Company size
501-1,000
Company stage
Private
Total funding
$949.8M
Headquarters
Austin, TX
Founded
2015

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