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Robotics Phd Positions Jobs in Virginia (NOW HIRING)

MS or PhD in Robotics, Controls, EE, CS, or a related field. * 8+ years in robotics, controls, or ... The pay offered for this position may vary based on several individual factors, including job ...

Required Qualifications • MS or PhD in Robotics, Controls, EE, CS, or a related field. • 8+ ... The pay offered for this position may vary based on several individual factors, including job ...

Chief Technology Officer

Ashburn, VA · On-site

$160 - $180/hr

MS or PhD in Mechanical Engineering, Mechatronics, Robotics, or a related field. * 8+ years in ... The pay offered for this position may vary based on several individual factors, including ...

Chief Technology Officer

Ashburn, VA · On-site

$180K - $200K/yr

Required Qualifications • MS or PhD in Mechanical Engineering, Mechatronics, Robotics, or a ... The pay offered for this position may vary based on several individual factors, including job ...

DevOps Systems Engineer TALO092

Herndon, VA · On-site

$54.25 - $74.25/hr

Help integrate with various tools for the DevOps process (SonarQube, Fortify, Jenkins, Robot ... Active CompTIA Security+ CE Certification (or equivalent DoD IAT Level 2 cert). * Position is 100 ...

Lead Microsystems Engineer

Ashburn, VA · On-site

$150K - $170K/yr

Devyantram is building a unified platform of bionic robots, from nanoscale to humanoid, powered by ... Required Qualifications • MS or PhD in Electrical Engineering, Applied Physics, Mechanical ...

Devyantram is building a unified platform of bionic robots, from nanoscale to humanoid, powered by ... Required Qualifications • MS or PhD in Chemistry, Molecular Engineering, Nanoscience ...

Lead Bioengineer

Ashburn, VA · On-site

$145 - $165/hr

Devyantram is building a unified platform of bionic robots, from nanoscale to humanoid, powered by ... MS or PhD in Bioengineering, Neural Engineering, Biomedical Engineering, or a related field ...

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Robotics Phd Positions information

What is a robotics PhD position?

Robotics PhD positions are research-focused academic roles for students pursuing a doctoral degree in robotics. These positions typically involve conducting original research in areas such as artificial intelligence, mechanical engineering, computer vision, or control systems related to robotics. Students often work under the supervision of a faculty advisor, contribute to academic publications, and may also assist in teaching or mentoring. Admission to these positions usually requires a strong academic background in engineering, computer science, or related fields, as well as a demonstrated interest in robotics research.

What are the common research areas and collaboration opportunities for students in robotics PhD positions?

Robotics PhD students typically focus on advanced topics such as machine learning for robotics, human-robot interaction, autonomous systems, and robotic perception. These positions often involve interdisciplinary collaboration, working closely with faculty, industry partners, and peers from fields such as computer science, electrical engineering, and mechanical engineering. Students regularly participate in lab meetings, joint research projects, and may have opportunities to contribute to conference publications or internships. This collaborative environment not only enhances learning but also opens pathways for future academic and industry careers in robotics.

What are the key skills and qualifications needed to thrive as a robotics PhD candidate, and why are they important?

To thrive as a Robotics PhD candidate, you need a strong background in robotics, computer science, engineering, mathematics, and a relevant undergraduate or master's degree. Familiarity with programming languages (like Python, C++), robotics simulation tools (such as ROS, Gazebo), and experience with research methodologies are typically important. Critical thinking, creativity, and effective communication are essential soft skills for contributing novel ideas and collaborating within research teams. These skills and qualifications are crucial for successfully conducting advanced research, publishing results, and advancing the field of robotics.

What is the difference between Robotics Phd Positions vs Robotics Engineer?

AspectRobotics Phd PositionsRobotics Engineer
Required CredentialsPhD in Robotics, Engineering, or related fieldBachelor's or Master's in Robotics, Mechanical, Electrical, or Computer Engineering
Work EnvironmentResearch labs, universities, academic settingsIndustry, manufacturing, technology companies, startups
Employer & Industry UsageAcademic institutions, research organizationsPrivate companies, tech firms, industrial sectors
Common Search & Comparison IntentAcademic research, advanced study, research positionsPractical application, product development, engineering roles

Robotics Phd Positions focus on advanced research, theoretical development, and academic pursuits, often requiring a doctoral degree. Robotics Engineers typically work on designing, developing, and implementing robotic systems in industry, often with a bachelor's or master's degree. Both roles involve robotics but differ in their focus, environment, and qualifications.

Is a robotics PhD position worth it?

A robotics PhD position provides advanced training in areas such as machine learning, control systems, and sensor integration, which can lead to research roles, academia, or specialized industry positions. It typically requires several years of study and research commitment but can enhance career prospects and earning potential in robotics and related fields.

What cities in Virginia are hiring for Robotics Phd Positions jobs?

Cities in Virginia with the most Robotics Phd Positions job openings:

Infographic showing various Robotics Phd Positions job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, and 3% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution.

Lead Perception & Controls Engineer

Ashburn, VA • On-site

$155 - $175/hr

Other

Posted 8 days ago


Job description

Role Summary

You will design the real-time sensing-to-action layer of Devyantram's robots, bridging perception, planning, control, and learning. This role owns how the CEREBRION bionic brain interacts with the physical world through sensors and actuators, and how the robot stays stable, precise, and adaptive in the loop, from single embodiments to coordinated multi-robot and swarm systems. A defining feature of this role: the cognitive layer is not a conventional digital controller. Its outputs come from biological (organoid-based) and engineered neural substrates coupled with optical processing, and a central part of your job is bridging that unconventional, non-deterministic compute to deterministic real-time control.

Key Responsibilities
  • Architect end-to-end perception to control pipelines.
  • Lead sensor fusion across vision, depth, tactile, and proprioceptive modalities.
  • Develop closed-loop control for manipulation, locomotion, and balance.
  • Apply both learning-based and classical control methods (MPC, whole-body control, RL hybrids).
  • Own the ROS2-based control stack and simulation-to-real transfer.
  • Integrate outputs from the platform's cognitive compute layer, which combines biological (organoid-based) and engineered neural substrates with optical processing, into deterministic real-time control loops, and own the rate, latency, and uncertainty mismatch across that boundary.
  • Design multi-robot and swarm coordination: distributed estimation and control, multi-agent planning, consensus, and formation or collective behaviors across many agents and scales.
  • Drive performance benchmarking in simulation and on hardware.
  • Generate core controls and autonomy IP in coordination with patent counsel.
Required Qualifications
  • MS or PhD in Robotics, Controls, EE, CS, or a related field.
  • 8+ years in robotics, controls, or real-time autonomy, including deployment on physical systems.
  • Strong foundation in control theory, robot dynamics and kinematics, and real-time systems.
  • Excellent Python and C++.
Strongly Preferred
  • Humanoid or legged-robot control.
  • Whole-body control, MPC, or task-space inverse dynamics.
  • Vision-based manipulation and navigation.
  • Experience with Isaac Sim, MuJoCo, or Gazebo.
  • Unconventional control systems, including bionic approaches.
  • Multi-agent or swarm robotics, distributed control, or multi-robot coordination.
  • Decentralized estimation and control (consensus, distributed MPC, or similar).
A Successful Candidate Will Be Measured By
  • Stability, precision, and adaptability of robot behavior.
  • Latency and robustness of closed-loop performance.
  • Coordination, robustness, and scalability of multi-agent and swarm behavior.
  • Clean integration across the cognition-to-actuation boundary, including the bridge from the unconventional cognitive substrate to real-time control.

The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.

The pay range for this role is:

155,000 - 175,000 USD per year (Ashburn, VA)

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