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Robotics Perception Engineer Jobs in Texas (NOW HIRING)

Oscar Technology

Robotics Engineer

Austin, TX · On-site

Engineering / R&D Employment Type: Full-time Reports To: Director of Robotics or Engineering ... Implement perception, navigation, and control algorithms using ROS (Robot Operating System ...

Advanced Robotics Group, LLC

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Autonomous Robotics Software Engineer

Houston, TX · On-site

Autonomous Robotics Software Engineer (Robotics / Autonomy / C++) Advanced Robotics Group, LLC is ... perception, sensing, and control systems into cohesive solutions · Design and execute simulation ...

ICON

Robotics Simulation Engineer II

Austin, TX

As a Robotics Simulation Engineer, you will build and maintain high-fidelity simulation ... Collaborate with controls, perception, and mechatronics engineers to ensure simulated sensor models ...

ICON

Robotics Simulation Engineer II

Austin, TX · On-site

As a Robotics Simulation Engineer, you will build and maintain high-fidelity simulation ... Collaborate with controls, perception, and mechatronics engineers to ensure simulated sensor models ...

Kickmaker

Robotic Engineer

Austin, TX · On-site

$130K/yr

... robotics, IOT and consumer devices) and our cross-disciplinary skills (embedded AI, high-tech ... Develop and optimize control algorithms, perception systems, and navigation strategies * Integrate ...

Kickmaker

Robotic Engineer

Austin, TX

$130K/yr

... robotics, IOT and consumer devices) and our cross-disciplinary skills (embedded AI, high-tech ... Develop and optimize control algorithms, perception systems, and navigation strategies * Integrate ...

Apptronik

Staff Perception Hardware Engineer

Austin, TX · On-site

$122K - $161K/yr

Lead the physical integration of the robot's visual perception stack. Drive the transition from ... Mentor senior and junior engineers in the lab, establishing a culture of rigorous physical testing ...

Graphcore

Staff Robotics Engineer

Austin, TX

Strong understanding of robotics fundamentals including perception, localization, mapping, planning or control. * Ability to lead technical initiatives and influence engineering direction through ...

Graphcore

Staff Robotics Engineer

Austin, TX · On-site

Strong understanding of robotics fundamentals including perception, localization, mapping, planning or control. * Ability to lead technical initiatives and influence engineering direction through ...

Saronic Technologies

Perception Hardware Engineer

Austin, TX · On-site

$122K - $161K/yr

Job Overview We are seeking a Perception Hardware Engineer to join a team that will integrate and ... Bachelor's degree or greater in Mechanical Engineering, Robotics, Electrical Engineering, or a ...

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Robotics Perception Engineer information

What are Robotics Perception Engineers?

Robotics Perception Engineers are professionals who specialize in enabling robots to interpret and understand their environment using sensors and data processing algorithms. They work on developing and implementing computer vision, sensor fusion, and machine learning techniques so that robots can perceive objects, people, and surroundings. Their work is crucial for applications such as autonomous vehicles, drones, industrial automation, and service robots. By improving a robot's ability to 'see' and make sense of the world, they help create safer and more effective robotic systems.

What is the difference between Robotics Perception Engineer vs Computer Vision Engineer?

AspectRobotics Perception EngineerComputer Vision Engineer
Required CredentialsBachelor's or Master's in Robotics, Computer Science, or Electrical Engineering; experience with perception algorithmsBachelor's or Master's in Computer Science, Electrical Engineering, or related fields; strong programming skills in vision processing
Work EnvironmentRobotics labs, autonomous vehicle companies, industrial automationSoftware companies, tech startups, research labs focusing on image and video analysis
Industry UsageAutonomous vehicles, robotics, manufacturingHealthcare, security, consumer electronics, automotive

Robotics Perception Engineers focus on developing perception systems specifically for robots, integrating sensors and perception algorithms for navigation and interaction. Computer Vision Engineers primarily develop algorithms for interpreting visual data across various applications. While both roles require strong programming and understanding of perception, Robotics Perception Engineers specialize in sensor fusion and real-time processing within robotic systems, whereas Computer Vision Engineers work more broadly on image analysis and recognition tasks.

What are some common challenges faced by Robotics Perception Engineers when integrating new sensors into autonomous systems?

Robotics Perception Engineers often encounter challenges such as sensor calibration, data synchronization, and managing varying data quality when integrating new sensors. Ensuring that sensor data is accurately aligned in time and space is crucial for reliable perception in autonomous systems. Additionally, engineers must address the complexities of fusing data from multiple modalities (like cameras, LiDAR, or radar) while optimizing processing efficiency. Close collaboration with hardware and software teams is essential to troubleshoot integration issues and achieve robust, real-time perception.

What are the key skills and qualifications needed to thrive as a Robotics Perception Engineer, and why are they important?

To thrive as a Robotics Perception Engineer, you need strong expertise in computer vision, sensor fusion, machine learning, and proficiency in programming languages like C++ and Python, often supported by a degree in robotics, computer science, or a related field. Familiarity with tools and frameworks such as ROS (Robot Operating System), OpenCV, and deep learning libraries, as well as experience with sensors like LiDAR and cameras, is typically required. Excellent problem-solving abilities, teamwork, and adaptability help set standout professionals apart in this role. These competencies are crucial for enabling robots to accurately interpret and interact with their environment, leading to robust and reliable autonomous systems.
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Robotics Perception Engineer jobs near you
Infographic showing various Robotics Perception Engineer job openings in Texas as of July 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.
Staff Systems Engineer - Perception

Staff Systems Engineer - Perception

Apptronik

Austin, TX • On-site

Full-time

Posted 13 days ago

Job description

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 embodied 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.
The Role
Apptronik is seeking a Staff Systems Engineer to own the system-level architecture, requirements, and performance of Apollo's perception suite. In this role, you are the technical connective tissue between the Autonomy software team and the Hardware engineering teams. You will translate high-level autonomy capabilities (e.g., "the robot must safely grasp a moving object" or "navigate a cluttered warehouse") into rigorous, verifiable system requirements (latency budgets, field-of-view mapping, resolution, and compute allocation). As a Staff-level leader, you will drive complex trade studies, define Interface Control Documents (ICDs), establish the Verification and Validation (V&V) strategy, and ensure the perception system meets the stringent functional safety standards required for a humanoid robot operating alongside humans.
Key Responsibilities
Architecture & Trade Studies
  • System Architecture: Define the top-level architecture for the robot's perception system, balancing the needs of Visual-Inertial Odometry (VIO), manipulation, obstacle avoidance, and remote teleoperation.
  • Trade Studies: Lead data-driven trade studies to adjudicate complex architectural decisions (e.g., Stereo Vision vs. LiDAR for close-range manipulation, edge-compute vs. centralized processing, global vs. rolling shutter).
  • Budget Ownership: Own and manage critical system budgets, including photon-to-action latency, compute utilization (TOPS), memory bandwidth, and spatial Field of View (FOV) coverage.

Requirements & Interfaces
  • Requirements Flow-Down: Elicit, define, and manage perception system requirements using enterprise tools (e.g., Jama, Polarion, or DOORS). Decompose product-level goals into strict hardware and software specifications.
  • Interface Management: Author and maintain Interface Control Documents (ICDs) that define the boundaries between perception sensors, the compute cluster, and the autonomy software stack. Ensure complete alignment across multi-disciplinary teams.

Verification, Validation & Safety
  • V&V Strategy: Architect the master Verification and Validation plan for the perception stack. Define the KPIs and test methodologies required to prove that the system meets its requirements in real-world, dynamic environments.
  • Functional Safety (ISO 13849 / IEC 61508): Partner with the Safety team to perform Hazard Analysis and Risk Assessments (HARA) related to perception. Define the safety-critical detection zones, fail-safe degradation states, and hardware redundancy requirements.

Cross-Functional Leadership
  • Technical Adjudication: Act as the ultimate technical adjudicator when conflicts arise between the Autonomy team's desires and the Hardware team's constraints (e.g., thermal limits, mechanical packaging, payload capacity).
  • Mentorship: Elevate the systems engineering rigor across the company, mentoring engineers in Model-Based Systems Engineering (MBSE) methodologies and rigorous requirement writing.

Qualifications
  • Perception Domain Expertise: Deep understanding of modern perception modalities (Cameras, LiDAR, Radar, ToF, IMU) and the fundamental physics, error models, and integration challenges of each.
  • Autonomy Familiarity: Strong working knowledge of how perception data is consumed by downstream algorithms (SLAM, object detection, kinematic planning, sensor fusion).
  • Systems Rigor: Proven track record of managing complex requirements traceability and V&V matrices for shipped products.
  • Analytical Skills: Ability to build mathematical models in Python or MATLAB to simulate system-level latency, FOV coverage, or optical performance to inform early-stage architecture.

Education and Experience
  • Experience: 8+ years of experience in Systems Engineering for complex
  • Education: BS, MS, or PhD in Systems Engineering, Robotics, Electrical Engineering, Computer Science, or a related field.electromechanical systems, autonomous vehicles, aerospace, or advanced robotics.

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.

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