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Robotics Perception Engineer Jobs in Maryland (NOW HIRING)

PassFort

Machine Learning Engineer

Berlin, MD · On-site

$79.93 - $137.02/hr

Collaborate with interdisciplinary teams to integrate perception systems into the full autonomy stack. Required Qualifications: * Master's or PhD in Computer Science, Robotics, Electrical Engineering ...

Forterra

Lead Autonomy Software Engineer

Clarksburg, MD · On-site

$150 - $250/hr

  • Medical

  • Life

  • Retirement

  • PTO

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

Actalent

Senior Engineer - Autonomy

Frederick, MD · On-site

$103K - $142K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Senior Engineer - Autonomy The Senior Engineer - Autonomy designs, develops, and integrates ... robotics, automotive, aerospace, or defense autonomy programs, particularly involving perception ...

Actalent

Senior Engineer - Autonomy

Frederick, MD · On-site

$103K - $142K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Senior Engineer - Autonomy The Senior Engineer - Autonomy designs, develops, and integrates ... robotics, automotive, aerospace, or defense autonomy programs, particularly involving perception ...

Forterra

Path Planning Engineer

Clarksburg, MD · On-site

$150K - $180K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Solid software engineering fundamentals: system design, unit/integration testing, debugging ... robotics middleware (e.g., ROS/ROS2 or similar frameworks) * Experience working across perception ...

BOOZ, ALLEN & HAMILTON, INC.

Autonomy SME, Lead

Bowie, MD · On-site

$112K - $257K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Design and train machine learning models for perception, object detection, tracking, and ... Bachelor's degree in a Computer Science, Robotics, Aerospace Engineering, or Electrical Engineering ...

BOOZ, ALLEN & HAMILTON, INC.

Autonomy SME, Lead

Laurel, MD · On-site

$112K - $257K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Design and train machine learning models for perception, object detection, tracking, and ... Bachelor's degree in a Computer Science, Robotics, Aerospace Engineering, or Electrical Engineering ...

BOOZ, ALLEN & HAMILTON, INC.

Autonomy SME, Lead

Kensington, MD · On-site

$112K - $257K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Design and train machine learning models for perception, object detection, tracking, and ... Bachelor's degree in a Computer Science, Robotics, Aerospace Engineering, or Electrical Engineering ...

BOOZ, ALLEN & HAMILTON, INC.

Autonomy SME, Lead

Ashton, MD · On-site

$112K - $257K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Design and train machine learning models for perception, object detection, tracking, and ... Bachelor's degree in a Computer Science, Robotics, Aerospace Engineering, or Electrical Engineering ...

BOOZ, ALLEN & HAMILTON, INC.

Autonomy SME, Lead

Potomac, MD · On-site

$112K - $257K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Design and train machine learning models for perception, object detection, tracking, and ... Bachelor's degree in a Computer Science, Robotics, Aerospace Engineering, or Electrical Engineering ...

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All JobsRobotics Perception Engineer JobsRobotics Perception Engineer Jobs in Maryland

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 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 are popular job titles related to Robotics Perception Engineer jobs in Maryland?

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

What job categories do people searching Robotics Perception Engineer jobs in Maryland look for?

The top searched job categories for Robotics Perception Engineer jobs in Maryland are:

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

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

Robotics Perception Engineer jobs near you
Infographic showing various Robotics Perception Engineer job openings in Maryland as of August 2026, with employment types broken down into 83% Full Time, 12% Part Time, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.

Machine Learning Engineer

PassFort

Berlin, MD • On-site

$79.93 - $137.02/hr

Other

Posted 8 days ago

Job description

sensmore automates the world's largest machines with unprecedented intelligence. Our proprietary Physical AI enables heavy machines such as wheel loaders to instantly adapt to dynamic environments and execute new tasks without prior training.

We integrate cutting-edge robotics into a platform powering intelligence and automation products - transforming productivity and safety for customers in mining, construction, and adjacent industries today.

Join us and play a pivotal role in transforming the automation landscape in heavy industries.

Role Overview:

We are looking for a skilled Machine Learning Engineer with expertise in perception to strengthen our team. This role requires a strong background in computer vision, deep learning, and multimodal sensor fusion. The successful candidate will lead the development of real-time perception systems that enable autonomous heavy machinery to understand and operate in harsh, unstructured environments.

Key Responsibilities:
  • Design and implement deep learning models for 3D perception, including object detection, semantic segmentation, and occupancy prediction.
  • Develop and optimise multimodal networks fusing LiDAR, radar, and camera data for off-highway autonomous vehicles.
  • Contribute to Vision-Language-Action (VLA) models integrating perception and language inputs for physical AI.
  • Optimise training and inference pipelines for real-time deployment on NVIDIA edge GPUs.
  • Lead data initiatives for the perception stack, from data pipelines and curation to model evaluation.
  • Collaborate with interdisciplinary teams to integrate perception systems into the full autonomy stack.
Required Qualifications:
  • Master's or PhD in Computer Science, Robotics, Electrical Engineering, or a related field.
  • Proficient in Python; strong experience with PyTorch.
  • Deep expertise in 3D perception and sensor fusion (LiDAR-camera-radar).
  • Practical experience deploying deep learning models in real time on embedded hardware (TensorRT, ONNX, Jetson/Orin).
  • Solid understanding of machine learning, deep learning, and autonomous systems.
Preferred Skills:
  • Experience with transformer-based perception architectures or VLA models.
  • Familiarity with BEV perception and multitask learning.
  • Experience with C++, ROS, and mmdetection.
  • Experience with perception in off-road, adverse-weather, or otherwise challenging conditions.
  • Proven track record of publications or significant industry experience in deep learning for autonomous driving or robotics.
What We Offer:
  • Build physical AI for the world's largest off-highway machinery – making them intelligent, safe, and ready for every tough task
  • Join the pioneer in intelligent robotics backed by Point Nine & other Tier 1 investors
  • Combine cutting-edge robotics research in end-to-end learning & Vision Language Action Model with real-world heavy mobile equipment
  • Tailor your own career path, whether you like to become technical specialist or technical team lead
  • Experience a great team culture, beverages, and an amazing office environment
Benefits:
  • Attractive compensation package and stock options.
  • Beverages on-site and regular social events.
  • Engage with top-tier researchers, engineers, and thought leaders.
  • Influence the future of robotic technologies and tackle significant technological challenges.
  • Assistance with relocation to Berlin.
About Us:

Heavy machinery, light years ahead.

sensmore automates the world's largest machines with unprecedented intelligence. Our proprietary Physical AI enables heavy machines such as wheel loaders to instantly adapt to dynamic environments and execute new tasks without prior training.

We integrate cutting-edge robotics into a platform powering intelligence and automation products - transforming productivity and safety for customers in mining, construction, and adjacent industries today.

We are proudly backed by Point Nine and other Tier 1 investors.

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