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Robotics Perception Engineer Jobs in Magnolia, TX

PIVOT Workforce

Quality Engineer

Houston, TX

$110K - $120K/yr

... Machine Learning, Robotics, etc). Physical Requirements/Work Environment: This role involves ... Visual acuity requirements include color, depth perception, and field of vision necessary for data ...

Comfort Systems USA

Supplier Quality Engineer

Houston, TX · On-site

... Robotics, etc.). PHYSICAL REQUIREMENTS/WORK ENVIRONMENT: Position is at least 25% to 50% at a desk ... Visual acuity requirements include color, depth perception and field of vision necessary to prepare ...

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Robotics Perception Engineer information

See Magnolia, TX salary details

$24.8K

$90.4K

$144.6K

How much do robotics perception engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for robotics perception engineer in Magnolia, TX is $90,387.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,500.00 and $108,700.00 per year, depending on experience, location, and employer.

What is a robotics perception engineer?

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?

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.

What cities near Magnolia, TX are hiring for Robotics Perception Engineer jobs?

Cities near Magnolia, TX with the most Robotics Perception Engineer job openings:

Robotics Perception Engineer jobs near you

Algorithm Engineer, Autonomy Planning & Prediction

Bot Auto

Houston, TX • On-site

Full-time

Re-posted 14 days ago

Job description

Company Introduction
At Bot Auto, we are revolutionizing the transportation of goods with our cutting-edge autonomous trucks, enhancing the quality of life for communities around the globe. With the agility of a startup and the wisdom of seasoned experts, our team has achieved numerous world-firsts and unparalleled innovations. United by a shared vision, we create groundbreaking solutions that propel the future of transportation. Join us and transform your ideas into reality.
About The Role
You will design and ship the algorithms that decide how our trucks move. This spans classical motion planning and behavior, a growing learning-based prediction and planning pipeline, and the online mapping and map-building layer that planning depends on. You will work end to end - from problem framing and algorithm design through implementation, on-vehicle validation, and the cases that come back from the road. This is a hands-on engineering role for someone who wants their work driving real freight on public highways.
What You'll Do
  • Develop and improve motion planning and behavior algorithms for highway and surface-street driving.
  • Build the learning-based pipeline for prediction and planning: data curation, model design and training, and integration on-vehicle.
  • Advance online mapping and map-building, and the real-time map signals that planning consumes.
  • Turn road and simulation cases into root-cause analysis, algorithmic fixes, and regression coverage that prevents recurrence.
  • Collaborate across perception, control, simulation, and operations to take features from design through validated release.
Required Qualifications
  • B.S. or M.S. in Computer Science, Robotics, Electrical Engineering, Applied Math, or a related field, or equivalent practical experience.
  • 2+ years building production algorithms in robotics, autonomous vehicles, or a comparable real-time system.
  • Strong C++ and Python; comfortable owning performance-sensitive code that runs on-vehicle.
  • Solid foundation in at least one of: motion planning and optimization, prediction/behavior modeling, or mapping.
  • A track record of shipping algorithms that ran on real hardware or in production, not only in research or simulation.
Preferred Qualifications
  • Experience with learning-based components in a planning or prediction stack (sequence/trajectory models, imitation or reinforcement learning, model training and deployment pipelines, GPU inference in a real-time loop).
  • Experience with online/HD mapping, reference-line or lane-graph generation.
  • Familiarity with the planning-perception interface: uncertainty representation, occlusion reasoning, safety and liability evaluation, and agent modeling.
  • Experience operating in a safety-critical or heavily validated software environment.
  • Background in autonomous trucking or highway-speed autonomy.

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