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Apptronik

Senior Perception Hardware Engineer

Apptronik is hiring a Senior Perception Hardware Engineer in Austin, United States. Level rates it ; you can apply on Apptronik.

Level's read on this job

  • Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
  • The posting mentions Ptp, Pps and Charuco among its tools and skills.
  • Level classes it as a senior role.
  • Apptronik has 88 other open roles on Level.

AI in this role

Owns sensor calibration and integration for the perception stack of AI-powered humanoid robots.

PtpPpsCharuco
computer-visionsensor-calibrationoptical-physicsrobotics3d-geometry

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 Applied 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

As a Senior Perception Hardware Engineer focusing on Sensor Calibration, you will own the critical link between the physical world and our robot's autonomy stack. Apollo relies on a complex, multi-modal perception suite to navigate and manipulate its environment.

Your mission is to ensure these sensors act as a unified, mathematically perfect system. You will design the physical fixtures, write the calibration algorithms, and build the scalable factory processes that define the intrinsic, extrinsic, and temporal calibration of our humanoid robots. You will be the resident expert on optical physics, 3D geometry, and sensor precision.

ESSENTIAL DUTIES AND RESPONSIBILITIES or KEY ACCOUNTABILITIES

Calibration Architecture & Algorithms

  • Sensor Modeling: Define and implement robust intrinsic models for various optical sensors (e.g., pinhole, fisheye, Brown-Conrady, Kannala-Brandt) and inertial sensors (bias, scale factors, random walk).
  • Extrinsic Calibration: Develop highly accurate sensor-to-sensor and sensor to kinematic base spatial transformations.
  • Temporal Synchronization: Work with electrical and embedded teams to validate hardware-level timing. Ensure sub-microsecond synchronization across all perception streams using PTP (Precision Time Protocol), PPS, and hardware triggering.

Hardware & Fixture Design

  • Precision Fixturing: Design the physical calibration targets (e.g., CharuCo boards, custom 3D geometries) and the lighting environments required for high-repeatability factory calibration.
  • Mounting & Stability Validation: Collaborate with mechanical engineers to evaluate and optimize sensor mounting rigidity. Characterize calibration drift caused by thermal gradients, mechanical shock, and joint wear.

Factory & In-Field Scalability

  • End-of-Line (EOL) Automation: Build the automated calibration pipeline for our manufacturing line, allowing non-engineers to reliably calibrate a multi-sensor humanoid head in minutes.
  • Online/In-Field Calibration: Develop lightweight "auto-calibration" or self-diagnostic routines that allow Apollo to detect sensor drift in the field and dynamically adjust its extrinsic transforms without human intervention.
  • Data & Analytics: Establish a data-tracking architecture to monitor fleet-wide calibration health, identifying batch variances or specific hardware degradation over time.

SKILLS AND REQUIREMENTS

  • Mathematical Foundation: Deep understanding of 3D geometry, linear algebra, coordinate frame transformations (quaternions, rotation matrices, SE(3)), and non-linear optimization (least-squares, bundle adjustment).
  • Software Proficiency: Strong programming skills in Python and C++. Extensive experience with computer vision libraries (OpenCV, PCL) and optimization frameworks (e.g., Ceres Solver, g2o).
  • Hardware Intuition: Hands-on experience working directly with optical components, LiDAR mechanisms, and MEMS IMUs. You understand the physical limitations that cause optical distortion, rolling shutter artifacts, and IMU drift.
  • System-Level Thinking: Ability to translate abstract autonomy requirements (e.g., "we need 1cm grasping accuracy at 1 meter") into concrete hardware and calibration tolerances.

EDUCATION and/or EXPERIENCE

  • Education: MS, or PhD in Robotics, Electrical Engineering, Optical Engineering, Computer Science, or a related technical field
  • Experience: 5+ years of industry experience in perception hardware, computer vision, or robotics, with a primary focus on sensor calibration and validation.

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

*This is a direct hire. Please, no outside Agency solicitations.

Apptronik provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

How we rate this

Senior Perception Hardware Engineer at Apptronik rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Computer visionSensor CalibrationOptical PhysicsRobotics3d GeometryPtpPpsCharuco

Questions you could be asked

  1. Walk me through a computer vision problem you solved, from raw data to a deployed model.
  2. Tell me about a project where sensor calibration was part of your work. What did you do?
  3. Tell me about a project where optical physics was part of your work. What did you do?
  4. Tell me about a project where robotics was part of your work. What did you do?
  5. Tell me about a project where 3d geometry was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Computer vision, Sensor Calibration, Optical Physics, Robotics, and 3d Geometry. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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