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Entry Level Autonomous Systems Engineer Jobs in Virginia

micro1 AI

AI Systems Engineer - Defense

Ashburn, VA · On-site +1

$40 - $60/hr

Build AI systems that turn mission data, models, and tools into real operational autonomy. * Own ... Strong Python engineer with end-to-end ownership experience. * Experience with LLMs and creating ...

Chenega Corporation

Jr Systems Engineer

Vienna, VA

Summary Jr. System Engineer Vienna, Virginia Are you ready to enhance your skills and build your ... From entry-level employees to senior leaders, we believe there's always room to learn. We offer ...

Chenega MIOS

Jr Systems Engineer

Vienna, VA · On-site

Req ID: 40522 Summary Jr. System Engineer Vienna, Virginia Are you ready to enhance your skills and ... From entry-level employees to senior leaders, we believe theres always room to learn. We offer ...

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Entry Level Autonomous Systems Engineer information

What is the difference between Entry Level Autonomous Systems Engineer vs Autonomous Vehicle Software Engineer?

AspectEntry Level Autonomous Systems EngineerAutonomous Vehicle Software Engineer
Required CredentialsBachelor's in Robotics, Computer Science, or Electrical EngineeringBachelor's or Master's in Computer Science, Software Engineering, or related fields
Work EnvironmentResearch labs, tech companies, automotive industryAutomotive companies, tech firms, startups focused on autonomous vehicles
Employer & Industry UsageDeveloping autonomous systems for various applicationsDesigning software specifically for autonomous vehicle navigation and control

While both roles involve working with autonomous systems, the Entry Level Autonomous Systems Engineer focuses broadly on developing autonomous technologies across industries, whereas the Autonomous Vehicle Software Engineer specializes in software development for self-driving cars. The former may work on sensors, algorithms, and system integration, while the latter concentrates on vehicle-specific software solutions.

What are the key skills and qualifications needed to thrive as an Entry Level Autonomous Systems Engineer, and why are they important?

To thrive as an Entry Level Autonomous Systems Engineer, you need a solid foundation in robotics, control systems, programming (such as Python or C++), and a relevant engineering degree. Familiarity with simulation tools like ROS (Robot Operating System), MATLAB, and version control systems (e.g., Git) is typically required. Strong problem-solving skills, teamwork, and effective communication help you collaborate and innovate within multidisciplinary teams. These skills and qualities are crucial for building reliable autonomous systems and adapting to rapidly evolving technologies.

What is an Entry Level Autonomous Systems Engineer?

An Entry Level Autonomous Systems Engineer is a professional who designs, develops, tests, and implements technologies that enable machines or systems to operate independently with minimal human intervention. These engineers often work on robotics, self-driving vehicles, drones, or industrial automation. As entry-level professionals, they typically assist senior engineers in building algorithms, integrating sensors, and troubleshooting hardware or software issues. They use skills in programming, systems engineering, and data analysis to help create and improve autonomous systems. This role is ideal for recent graduates or those with limited experience looking to start a career in robotics and automation.

What types of projects and technologies do Entry Level Autonomous Systems Engineers typically work on, and how is their work structured within a team?

As an Entry Level Autonomous Systems Engineer, you'll often contribute to projects involving robotics, self-driving vehicles, or drone technologies. Your daily work may include developing and testing algorithms for perception, localization, and control, often using tools like Python, ROS, and machine learning frameworks. You will typically collaborate closely with senior engineers, software developers, and hardware teams through agile sprints, code reviews, and regular team meetings. The environment is highly collaborative and problem-solving oriented, offering abundant opportunities to learn from experienced colleagues and participate in multidisciplinary projects that can lead to rapid professional growth.
What are the most commonly searched types of Autonomous Systems Engineer jobs in Virginia? The most popular types of Autonomous Systems Engineer jobs in Virginia are:
What are popular job titles related to Entry Level Autonomous Systems Engineer jobs in Virginia? For Entry Level Autonomous Systems Engineer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Entry Level Autonomous Systems Engineer jobs in Virginia look for? The top searched job categories for Entry Level Autonomous Systems Engineer jobs in Virginia are:
What cities in Virginia are hiring for Entry Level Autonomous Systems Engineer jobs? Cities in Virginia with the most Entry Level Autonomous Systems Engineer job openings:
Entry Level Autonomous Systems Engineer jobs near you
Infographic showing various Entry Level Autonomous Systems Engineer job openings in Virginia as of June 2026, with employment types broken down into 75% Full Time, 15% Part Time, 5% Temporary, and 5% Nights. Highlights an 95% In-person, and 5% Remote job distribution.
AI Systems Engineer - Defense

AI Systems Engineer - Defense

micro1 AI

Ashburn, VA • On-site, Remote

$40 - $60/hr

Part-time

Medical, Retirement, PTO

Posted 10 days ago

Job description

Job Title: Forward Deployed Engineer, U.S. Government


Job Type: Full-time


Location: Hybrid - Washington, D.C.


The Role

We’re hiring an MTS to work on applied AI systems across research and production. This role spans model experimentation, infrastructure, and deployment in high-assurance, mission-critical environments, including forward-deployed work with strategic partners to ensure mission success.


What You’ll Work On

  1. Build and deploy agentic AI systems that support high-impact U.S. Government missions from prototype to production.
  2. Design and integrate LLM applications, including multi-agent systems, tool-using agents, RAG workflows, and human-in-the-loop autonomy.
  3. Work directly with government partners in forward-deployed environments to translate mission needs into technical systems.
  4. Build and maintain large-scale data curation, and evaluation pipelines for model training and improvement.
  5. Develop infrastructure for model inference, experimentation, evaluation, and deployment across frontier AI platforms.
  6. Build AI systems that turn mission data, models, and tools into real operational autonomy.
  7. Own systems across the full lifecycle, including discovery, architecture, implementation, deployment, reliability, security, and iteration.


What We're Looking For

  1. Able to operate independently in ambiguous, partner-facing settings with technical and operational ownership.
  2. Strong Python engineer with end-to-end ownership experience.
  3. Experience with LLMs and creating agentic systems.
  4. Built or maintained data pipelines / ML infrastructure.
  5. Familiar with RL workflows or simulation environments.
  6. Comfortable in high-security / high-reliability environments.


Preferred Qualifications

  1. Active U.S. security clearance or eligibility and willingness to obtain one.
  2. Experience supporting U.S. Government, defense, intelligence, or national security missions.
  3. Prior experience at a startup, defense organization, Department of War, or government-focused technology company.
  4. Background operating in fast-moving startup environments, mission-critical government settings, or both.


Compensation & Benefits Notice

All employees are eligible for equity compensation, and employees may also receive performance-based bonuses, dependent on role and subject to company policies. micro1 provides a comprehensive benefits package, including up to 100% reimbursement for health-insurance premiums, paid time off, a 401(K) plan with a company match, and additional benefits designed to support a high-performing, remote-first workforce.


micro1 is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation during the application process, reach out to support@micro1.ai.


Our hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.


Disclaimer

The information contained in this job posting, including but not limited to role responsibilities, qualifications, compensation, and benefits, is provided for informational purposes only and does not constitute a binding offer of employment. micro1 reserves the right to amend, modify, or withdraw any portion of this posting at its sole discretion and without prior notice. All employment decisions are made in accordance with applicable laws and regulations.

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