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Robotics Perception Jobs (NOW HIRING)

The Role As a Perception Engineer in the Robotics and Automation group at Radical AI, you will design, deploy, and scale robust vision-guided automation in fast-moving lab environments. Your ...

Perception Engineer

New York, NY · On-site

$175K - $225K/yr

The Role As a Perception Engineer in the Robotics and Automation group at Radical AI, you will design, deploy, and scale robust vision-guided automation in fast-moving lab environments. Your ...

... robotic perception, sensor integration, and real-world production part handling Collaborate with cross-functional R&D and engineering teams on advanced robotics initiatives Maintain technical ...

... robotic perception, sensor integration, and real-world production part handling Collaborate with cross-functional R&D and engineering teams on advanced robotics initiatives Maintain technical ...

Perception Engineer

San Francisco, CA · On-site

$130K - $170K/yr

This role bridges data science, software engineering, and robotics to deliver reliable, high‑throughput perception performance on edge hardware. What You'll Own: * Design, train, validate and fine ...

Design and develop AI-driven algorithms for robotic perception, decision-making, planning, and control * Integrate machine learning and artificial intelligence models into robotic platforms and ...

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Robotics Perception information

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$84K

$96K

$116.5K

How much do robotics perception jobs pay per year?

As of Jun 28, 2026, the average yearly pay for robotics perception in the United States is $96,000.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $102,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced by professionals in Robotics Perception roles when integrating perception systems with real-world robotics applications?

A key challenge in Robotics Perception is ensuring that perception algorithms—such as object detection, mapping, and localization—operate reliably in dynamic, unstructured environments. Professionals often need to address sensor noise, variable lighting conditions, and occlusions that can impact data quality. Integrating perception systems with robotic hardware requires close collaboration with mechanical, software, and controls engineers to ensure real-time performance and robustness. Adapting solutions to different platforms and continuously validating them in field tests is also an essential, ongoing responsibility.

What is robotics perception?

Robotics perception refers to the ability of robots to interpret and understand their environment using sensors such as cameras, LIDAR, and radar. This field combines elements of computer vision, machine learning, and sensor fusion to help robots identify objects, navigate spaces, and interact with the world safely and effectively. Robotics perception is crucial for autonomous systems like self-driving cars, drones, and industrial robots, enabling them to make decisions based on real-time data from their surroundings.

What is the difference between Robotics Perception vs Robotics Software Engineer?

AspectRobotics PerceptionRobotics Software Engineer
Required CredentialsBachelor's or Master's in Robotics, Computer Science, or related fields; experience with perception algorithmsBachelor's or Master's in Computer Science, Software Engineering, or related; programming skills in C++, Python
Work EnvironmentResearch labs, R&D departments, industry settings focused on sensor data processingDevelopment teams, industrial or research settings, focusing on software development for robots
Industry UsageUsed in autonomous vehicles, drones, and robotic systems for environment understandingDevelops the software that enables robotic functionalities, including perception modules

Robotics Perception specialists focus on developing algorithms that interpret sensor data to understand the environment, while Robotics Software Engineers build the overall software systems that incorporate perception modules. Both roles often collaborate but differ in their core focus and skill sets.

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 a solid background in computer vision, machine learning, and robotics, typically supported by a degree in computer science, engineering, or a related field. Experience with tools like ROS (Robot Operating System), OpenCV, and programming languages such as Python or C++ is essential, along with familiarity with sensor technologies and perception algorithms. Strong problem-solving skills, teamwork, and clear communication are crucial soft skills for addressing complex challenges and collaborating effectively. These abilities ensure robust perception systems, enabling robots to interpret and interact safely and efficiently with their environments.
More about Robotics Perception jobs
What cities are hiring for Robotics Perception jobs? Cities with the most Robotics Perception job openings:
What states have the most Robotics Perception jobs? States with the most job openings for Robotics Perception jobs include:
Infographic showing various Robotics Perception job openings in the United States as of June 2026, with employment types broken down into 87% Full Time, and 13% Part Time. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $96,000 per year, or $46.2 per hour.

$175K - $225K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 12 days ago


Job description

Radical AI is replacing an R&D process that currently takes 10+ years and $100 million to produce a single discovery. Our self-driving lab platform combines AI with autonomous robotics to run experiments, analyze results, and iterate-continuously, without human bottlenecks. For industries like aerospace, automotive, defense, energy, manufacturing, semiconductors, and space, that means breakthroughs in weeks instead of years.

The Role

As a Perception Engineer in the Robotics and Automation group at Radical AI, you will design, deploy, and scale robust vision-guided automation in fast-moving lab environments.

Your expertise will shape both the physical and systemic implementation of lab automation. You will collaborate closely with Roboticists, Mechatronics, Mechanical Engineers, and Material Scientists to meet rigorous and sometimes dynamic design requirements at an unprecedented deployment speed-bringing open-mindedness and creative fearlessness to ship world-class technology on timelines most teams consider impossible. Not you.

What You'll Do
  • Design, implement, and deploy 2D and 3D vision systems for robotic manipulation, inspection, state verification, and sensor fusion
  • Develop vision-guided automation solutions integrating cameras, lighting, optics, and robots in laboratory and industrial environments
  • Implement perception pipelines for object detection, segmentation, pose estimation, and feature extraction
  • Work on classical detection algorithms as well as training and deploying state-of-the-art vision models
  • Own camera calibration and system-level accuracy validation
  • Integrate vision outputs with robot motion planning, grasping, and task execution
  • Collaborate with software, mechatronics, and mechanical teams to translate experimental and operational needs into automated solutions
  • Contribute to technical direction, architecture decisions, and best practices across the robotics, perception, and automation software stack
What We're Looking For
Required
  • Degree in Robotics, Computer Vision, Electrical Engineering, Computer Science, or a related field
  • 5+ years of experience designing and deploying machine vision systems in robotics or automation environments
  • Strong hands-on experience with 2D/3D cameras, lenses, lighting, and optics
  • Proficiency in Python and/or C++ for production software development
  • Experience integrating vision systems with industrial robots and motion platforms
  • Experience solving novel computer vision problems
  • Experience with simulation, sim2real and domain randomization in a computer vision domain
  • Experience with robotic control frameworks (e.g., ROS/ROS2 or equivalent custom systems)
  • Demonstrable ability to work independently in a hands-on, development-oriented environment.
Nice to Have
  • Deep robotics automation experience outside of vision
  • Hands on experience developing and integrating VLA models for robotics
  • Experience deploying ML and multimodal models on robotic platforms
  • Ability to develop novel algorithms for state estimation of fluids and particle flows
  • Experience in laboratory automation, materials science, or scientific instrumentation
  • Prior startup experience or ownership of systems from early prototype through production
$175,000 - $225,000 a year
 
What We Offer
A competitive compensation package also includes the best in benefits:
  • Medical, dental, and vision insurance for you and your family, covered at 100%
  • Mental health and wellness support
  • Unlimited PTO and 14+ company holidays per year
  • Company-wide end-of-year shutdown, including two weeks of paid time off
  • 401K 
  • Equity
 
Disclosure
 
Radical AI is committed to equal employment opportunity regardless of race, color, ancestry, national origin, religion, sex, age, sexual orientation, gender identity and expression, marital status, disability, or veteran status.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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