Robotics Engineer

Mcfa

Middle River, MD, United States4d ago

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Key details

Location
Middle River, MD, United States
Work style
Onsite
Level
Mid level
Job type
Full-time
Experience
3–5 yrs
Function
Software engineering
Focus area
Embedded / Firmware
Posted
4d ago

Skills

algorithmsc++computer visiongitgpslidarlinuxmachine learningmotion controlpythonroboticssystem administrationsystem architecturesystem integrationtroubleshootingubuntu

About the role

Job Title: Robotics Engineer (Mid-Level)
Location: Middle River, MD (Onsite)
Employment Type: Full-Time (Onsite). Includes outdoor work in varying terrain and weather, and travel 2–3 times per year for up to two weeks.

Salary: $110,000-$140,000 DOE + bonus


Position Overview:

MCFA is partnering with a defense research organization and leading their search for a Robotics Engineer to support intelligent robotics research. You’ll focus on software and hardware integration for proof-of-concept demonstrations and performance evaluation of autonomous behaviors on individual robots and teams of ground and aerial platforms. 


Key Responsibilities:

  • Design and integrate a mobile-robot autonomy stack spanning perception, mapping and localization, navigation, control, and higher-level intelligence such as exploration and multi-platform mission management
  • Deploy ARL autonomy software onto ground and aerial platforms, and integrate sensors, compute, and software for lab and field missions (Ubuntu and/or RHEL)
  • Transition new internal and university research into ARL’s core robotics stacks, and move prototype capabilities into field testing
  • Plan, execute, and support robotics experiments, including field tests in controlled but sometimes austere environments such as desert and forest terrain
  • Collaborate with ARL staff and university partners to refactor, optimize, and verify prototype algorithms
  • Analyze experimental data, document code and system architecture, and prepare reports, briefings, and publications
  • Support configuration, integration, and system administration on lab and field platforms as assigned


Qualifications:

  • Bachelor’s degree in Robotics, Computer Science, Mechanical, Electrical, or Computer Engineering, or a related field
  • 3–5 years of robotics software engineering, autonomy, and/or robotic systems integration experience
  • U.S. citizenship and an active U.S. SECRET clearance, or the ability to obtain one
  • Hands-on ROS and/or ROS 2 development and deployment on Linux, including command-line tools and troubleshooting
  • Proficiency in Python and C++ for robotics software, including CMake, Git, and third-party library integration
  • Working knowledge of perception, SLAM/localization, navigation, and motion control, including platform constraints
  • Experience integrating sensors and compute on robotic platforms (cameras, LiDAR, IMU, GPS, motion capture) and troubleshooting hardware/software interfaces
  • Experience planning, executing, and reporting robotics experiments, including data logging and algorithm verification
  • Strong written and verbal communication skills, including code documentation, technical reports, and presentations


Bonus Points:

  • Master’s degree with a robotics or autonomy concentration
  • PX4, MAVLink, or similar flight/autonomy stacks; multi-robot or UAV–UGV teaming
  • State estimation and control methods (EKF/UKF, MPC, LQR, or comparable)
  • Computer vision, machine learning, or robot simulation (Gazebo, Isaac)
  • Operator tools such as RViz or Qt dashboards; time-series data systems such as InfluxDB
  • Linux+ / RHCSA or equivalent; prior robotics publications or technical reports


Total Rewards:

  • Competitive base salary
  • Support for required professional certifications
  • Hands-on work with fielded research robots at ARL R2C2 and Aberdeen Proving Ground


About MCFA:
MCFA is a trusted talent acquisition and advisory firm supporting construction, real estate, infrastructure, and public sector clients nationwide. We specialize in helping our partners attract high-impact talent to achieve operational excellence and long-term growth.

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