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Robotics Perception Engineer Jobs in Missouri (NOW HIRING)

... perception and planning to controls and physical system integration. Role Overview Position ... Robotics Research Engineer Employment Type: Full-Time Work Arrangement: In Person Location: Palo ...

Controls / Robotics Engineer

Chesterfield, MO · On-site

$82K - $106K/yr

Rated as a top System Integrator Giant we have a Controls/ Robotics Engineer position available in ... color perception, hearing and clear speech, dexterity in hands, driving, lifting, climbing, and ...

Controls / Robotics Engineer

Chesterfield, MO · On-site

$82K - $106K/yr

Rated as a top System Integrator Giant we have a Controls/ Robotics Engineer position available in ... color perception, hearing and clear speech, dexterity in hands, driving, lifting, climbing, and ...

... robots to collaborate across various missions. We work in close coordination with specialist teams like Perception, Motion Planning, Hardware, and Test Engineering to solve some of the hardest ...

Partner with the Perception team on sensor and localization inputs, with Embedded on the ... Master's or PhD in controls, robotics, aerospace, mechanical, or electrical engineering. * Model ...

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Robotics Perception Engineer information

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 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 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 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 popular job titles related to Robotics Perception Engineer jobs in Missouri?

For Robotics Perception Engineer jobs in Missouri, the most frequently searched job titles are:

What cities in Missouri are hiring for Robotics Perception Engineer jobs?

Cities in Missouri with the most Robotics Perception Engineer job openings:

Infographic showing various Robotics Perception Engineer job openings in Missouri as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

Perception Engineer - ML for Real-World Autonomy

well-funded deeptech startup

California, MO • On-site

$100 - $140/hr

Other

Posted 19 days ago


Job description

Bay Area | Series A Startup | Closing B Round Soon | Small, Collaborative Autonomy Team

Hiring on behalf of a Bay Area Series A startup (closing B round before end of Q3) building ML-driven autonomy for unstructured outdoor environments. Small, high-caliber team. Big impact.

You’ll:
  • Build SOTA perception models (detection, segmentation, depth, tracking)
  • Optimize for real-time embedded inference (TensorRT, CUDA, quantization)
  • Own cloud-based training pipelines + dataset curation
  • Deploy and test your work on real robots in the field
You bring:
  • 5+ years in robotic perception/ML
  • Strong C++/Python, embedded experience
  • Deep learning fundamentals + practical deployment experience
  • Startup mindset: hands‑on, collaborative, proactive

Competitive base, early equity, and high visibility.

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