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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 Experience: 5+ years of industry experience in perception hardware, computer vision, or robotics, with a primary focus on sensor calibration and validation. 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 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.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.