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Robotics Perception Engineer Jobs in Washington, DC

Autonomy Software Engineer

Arlington, VA · On-site

$120K - $165K/yr

Knowledge of navigation, mapping algorithms and robot perception * Familiarity with real-time operating systems and embedded programming US Salary Range $120,000-$165,000 The salary range for this ...

Knowledge of navigation, mapping algorithms and robot perception * Familiarity with real-time operating systems and embedded programming * Leadership experience on cross-functional software teams US ...

Computer Vision Engineer

Sterling, VA · On-site

$110K - $130K/yr

Join a cross-functional team of robotics, software, and mechanical engineers to build the computer vision and perception systems that powers Molg's robotic microfactories. As a Computer Vision ...

Knowledge of navigation, mapping algorithms and robot perception * Familiarity with real-time operating systems and embedded programming * Leadership experience on cross-functional software teams US ...

... robotic systems (to provide perception capabilities, enable autonomy and complex behavior, etc ... Works closely with other software developers to design and reuse developed software to support ...

... robotic systems (to provide perception capabilities, enable autonomy and complex behavior, etc ... Works closely with other software developers to design and reuse developed software to support ...

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Robotics Perception Engineer information

See Washington, DC salary details

$32.8K

$119.6K

$191.4K

How much do robotics perception engineer jobs pay per year?

As of Jun 28, 2026, the average yearly pay for robotics perception engineer in Washington, DC is $119,608.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,600.00 and $143,800.00 per year, depending on experience, location, and employer.

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.
What are popular job titles related to Robotics Perception Engineer jobs in Washington, DC? For Robotics Perception Engineer jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Robotics Perception Engineer jobs in Washington, DC look for? The top searched job categories for Robotics Perception Engineer jobs in Washington, DC are:
Associate Research Scientist (PREP0004728)

Associate Research Scientist (PREP0004728)

Johns Hopkins University

Gaithersburg, MD • On-site

Full-time

Posted 21 days ago


Johns Hopkins Medicine rating

7.5

Company rating: 7.5 out of 10

Based on 202 frontline employees who took The Breakroom Quiz

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Job description

Description
PREP Research Associate
CHIPS Funded Project.

This position is part of the National Institute of Standards (NIST) Professional Research Experience (PREP) program. NIST recognizes that its research staff may wish to collaborate with researchers at academic institutions on specific projects of mutual interest and thus requires that such institutions be the recipients of a PREP award. The PREP program requires staff from a wide range of backgrounds to work on scientific research in many areas. Employees in this position will perform technical work that underpins the scientific research of the collaboration.
Research Title: Physicist (CHIPS Project: Accurate Cure Kinetics, Stress, Mechanical Properties and Warpage Measurements for Next-Generation Microelectronics Packaging under Device Relevant Conditions)
U.S. Citizen Preferred
The work will entail: The candidate will join a multi-disciplinary team of scientists working to advance the current state-of-the-art in advanced metrologies to characterize, test, model, and validate
the structure-processing-property relationships of polymeric materials and material interfaces for
heterogeneous integration in semiconductor packaging. The candidate will plan and conduct research on the use of Brillouin, low-frequency Raman (LFR) and fluorescence lifetime imaging (FLIM) microscopy to study the local mechanical properties of materials relevant to semiconductor packaging applications. This position will be a one-year appointment.
Key responsibilities will include but are not limited to:
• Plan, design, and characterize the performance of advanced microscopes based on Brillouin scattering, Raman scattering and fluorescence lifetimes
  • Characterize the mechanical properties of complex polymeric materials using these microscopy methods

• Collaborate with a multi-disciplinary team working to characterize, test, and model polymeric materials relevant to semiconductor packaging applications
• Participate in the characterization of the mechanical properties of candidate Research Grade Test Materials
• Publish results in refereed scientific journals and present results at scientific conferences and meetings
Qualifications
  • Ph.D. in physics, chemistry, materials science, or related discipline

• Background in Raman and Brillouin light scattering techniques required, including expertise in instrumentation development
• Background in fluorescence lifetime microscopy required, including experimental experience in both time and frequency domain methods
• Experience in the use of microscopy techniques for the measurement of viscoelastic properties of polymeric materials
• Skills and experience in the development of Strong data analysis and Python programming skills for processing large datasets, fitting models, and producing publication-quality figures.
  • Track record of technical writing (peer-reviewed papers, technical reports) and communicating results to mixed audiences.

• Demonstrated ability to lead projects, mentor students/postdocs, and coordinate cross-functional collaborations.
• Ability to work on-site in a laboratory setting in Gaithersburg, MD and meet all safety/training requirements.
Application Instructions
Please upload the following with your application:
• CV/Resume
*Please limit C.V to 3 pages only and ONLY include a valid email address for your contact info. Your resume will not be considered if the following information is included on your CV/resume.
Self portraits
Phone number
Home address/Country
Citizenship status
Languages spoken
Sex/Gender
PREP Research Associate
This position is part of the National Institute of Standards (NIST) Professional Research Experience (PREP) program. NIST recognizes that its research staff may wish to collaborate with researchers at academic institutions on specific projects of mutual interest and thus requires that such institutions be the recipients of a PREP award. The PREP program requires staff from a wide range of backgrounds to work on scientific research in many areas. Employees in this position will perform technical work that underpins the scientific research of the collaboration. A candidate hired for this position will be through the university that is associated with the NIST PREP program and will be an employee of that University. For example, see Professional Research Experience Program (PREP) | Professional Research Experience Program (PREP) (umd.edu)
Research Title: Robotics and Perception Engineer: Perception Performance of Robotic Systems
Position Description: The Intelligent Systems Division at NIST is investigating the performance of 3D machine vision systems for various manufacturing applications. The research will focus on integrating 3D bin-picking vision systems with robotic arms and conducting experiments to evaluate their performance. This work will support the development of new metrics and standards for these systems.
Duties:
• Integrate robot arms and commercial bin-picking systems into the NIST/ISD bin-picking testbed.
• Program collaborative robot arms for conducting various tasks and experiments.
• Research the effects of various factors (part color, part surface properties, bin color, bin depth, ratio of part size to bin size, part distribution in a bin) on bin picking performance (e.g., cycle time, pose uncertainty, etc.).
• Collect data from various 3D imaging systems.
• Design and develop 3D printed artifacts and optimize 3D printer parameters for improved quality of the 3D prints.
• Use metrology systems (e.g., laser trackers, CMMs, etc.) for establishing reference measurements.
• Use analysis software (e.g., Python, MATLAB, Spatial Analyzer, Polyworks, Excel, etc.) to interpret results and produce visualizations.
• Assist in the development of demonstrations for trade shows and conferences.
• Write reports and contribute to peer-reviewed publications.
• Work schedule: On-campus (Gaithersburg, MD), Full-time (40hrs/week)
• The applicant selected for this position will receive minimal training in the use of certain systems needed for the work.

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