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Robotics Perception Engineer Jobs in Virginia (NOW HIRING)

Collaborate with engineering teams to integrate research algorithms into UAS platforms * Conduct ... Domain expertise in one or more: robotics/ROS, aerospace/flight dynamics, quantum computing ...

Collaborate with engineering teams to integrate research algorithms into UAS platforms * Conduct ... Domain expertise in one or more: robotics/ROS, aerospace/flight dynamics, quantum computing ...

... human-robot interaction and public perception studies Publishing peer-reviewed research and ... D. in Geography, Urban Planning, Engineering, Computer Science, Human-Computer Interaction, or a ...

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Robotics Perception Engineer information

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 cities in Virginia are hiring for Robotics Perception Engineer jobs? Cities in Virginia with the most Robotics Perception Engineer job openings:

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Re-posted 17 days ago


Job description

Title:  AI/ML Research Scientist
Company: Heven AeroTech
Location: Sterling, Virginia  
FLSA: Exempt

About Our Company:

At Heven AeroTech (Heven), we don't just believe in the power of people-we build our success on it. As a recognized leader in hydrogen powered drones, we've earned recognition for creating a workplace where innovation thrives, collaboration is second nature, and every employee feels valued. Our culture is anchored in trust, and a shared commitment to excellence. We know that great organizations are built by extraordinary teams. That's why we invest in your professional growth, offering robust training programs, leadership development opportunities, and a clear pathway for advancement. At Heven, your voice matters, your ideas are heard, and your contributions make a tangible impact.

Role Summary:
 
The AI/ML Research Scientist will lead pioneering research at the intersection of artificial intelligence, quantum technologies, hydrogen systems, and autonomous aerospace operations. This role requires conducting applied research that bridges cutting-edge academic theory with mission-critical defense applications, publishing findings, filing patents, and influencing the technical direction of our autonomous systems portfolio while generating foundational intellectual property for next-generation autonomous UAS. 

Essential Responsibilities:  

  • Design and implement AI/ML algorithms for autonomous navigation, including visual-inertial odometry, SLAM, and sensor fusion
  • Architect adversarial robustness frameworks and edge AI optimizations tailored for mission-critical defense applications. 
  • Create predictive models for hydrogen fuel cell performance and thermal management
  • Build physics-informed neural networks and digital twin simulations for aerospace systems
  • Research quantum sensing integration methods for navigation and perception
  • Document research findings and prepare invention disclosures for patent applications
  • Write technical specifications for proprietary algorithms and system architectures
  • Publish research papers and present at conferences
  • Maintain detailed records of experimental results and methodologies 
  • Develop proof-of-concept software in simulation and hardware-in-the-loop environments
  • Collaborate with engineering teams to integrate research algorithms into UAS platforms
  • Conduct testing and validation of algorithms using real-world flight data
  • Troubleshoot and refine models based on experimental performance
  • Participate in technical design reviews and provide AI/ML expertise
  • Coordinate with university partners and industry collaborators on joint research
  • Support proposal development for research funding opportunities
  • Track emerging AI/ML technologies relevant to autonomous aerospace systems 

Qualifications & Experience: 

Required:

  • Ph.D. in Computer Science, Electrical Engineering, Aerospace Engineering, Applied Mathematics, Physics, or related field with dissertation in machine learning, robotics, autonomous systems, computer vision, or control theory 
  • 3+ years post-Ph.D. research experience in AI/ML
  • Minimum 3 peer-reviewed publications with at least one first-author paper
  • Expert knowledge of deep learning architectures (CNNs, transformers, reinforcement learning) and probabilistic machine learning
  • Proficiency in PyTorch, TensorFlow, or JAX; strong Python skills
  • Experience with computer vision, sensor fusion, or state estimation
  • U.S. Person status (U.S. Citizen, Permanent Resident, Asylee, or Refugee)
  • Ability to obtain DoD Secret clearance within first year 

Required:

  • 5+ years post-Ph.D. research experience with 10+ publications and H-index 3
  • Patent applications or issued patents in AI/ML or autonomous systems
  • Domain expertise in one or more: robotics/ROS, aerospace/flight dynamics, quantum computing, physics-informed ML, edge AI optimization, or adversarial ML
  • Proven record of transitioning research into practical applications, complemented by grant writing and Principal Investigator (PI) experience 

Physical Requirements: 

  • The ability to maintain a stable, upright seated or standing position for extended periods (typically 6-10 hours per day) without significant physical fatigue.
  • High-frequency use of fingers and wrists for data entry, complex coding, and navigating digital interfaces using keyboards and mice.
  • The capacity for "near-point" visual tasking, involving the ability to focus on high-resolution displays for long durations and process dense information without excessive eye strain 

Benefits Overview: 
Heven AeroTech offers a competitive benefits package designed to support the health, financial security, and overall well-being of our employees and their families. Benefits include medical, dental, and vision coverage, retirement plans, paid time off/sick, and additional protections such as critical illness, hospital indemnity, accident coverage, and short- and long-term disability.

Equal Employment Opportunity Statement: 
Heven AeroTech is an Equal Opportunity Employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic under applicable law.