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Autonomy Engineer Jobs (NOW HIRING)

Nextracker

Autonomy Engineer

Folsom, CA

We are seeking a Autonomy Engineer to help accelerate the next phase of that growth. This role focuses on advancing real-world autonomy performance across the navigation stack and enabling robots to ...

Nextpower

Autonomy Engineer

Folsom, CA · On-site

We are seeking a Autonomy Engineer to help accelerate the next phase of that growth. This role focuses on advancing real-world autonomy performance across the navigation stack and enabling robots to ...

Nextracker

Autonomy Engineer

Fremont, CA

We are seeking a Autonomy Engineer to help accelerate the next phase of that growth. This role focuses on advancing real-world autonomy performance across the navigation stack and enabling robots to ...

JT4, LLC

Autonomy - Engineer

Edwards, CA · On-site

$110K - $185K/yr

As an Autonomy Engineer, you will contribute directly to the Developmental Integration & Evaluation, and deployment of 6th Generation aircraft. Develop test plans and procedures for the integration ...

Cmu

Autonomy Engineer

Arlington, VA · Hybrid

As an autonomy engineer in the AI for Autonomy Lab, you will identify, shape, apply, conduct, and lead engineering research that matches critical U.S. government needs. The AI for Autonomy Lab ...

JT4 LLC

Autonomy - Engineer

Edwards, CA · On-site

$110K - $185K/yr

As an Autonomy Engineer, you will contribute directly to the Developmental Integration & Evaluation, and deployment of 6th Generation aircraft. Develop test plans and procedures for the integration ...

Cmu

Autonomy Engineer

Pittsburgh, PA · Hybrid

As an autonomy engineer in the AI for Autonomy Lab, you will identify, shape, apply, conduct, and lead engineering research that matches critical U.S. government needs. The AI for Autonomy Lab ...

Booz Allen Hamilton, Inc.

Autonomy Engineer

Lorton, VA · On-site

$77K - $176K/yr

Autonomy Engineer The Opportunity: Conduct the research, development, integration, deployment, and evaluation of robotic and unmanned systems across multiple operational domains and DoD warfighter ...

ARA

Autonomy Engineer

Warrendale, PA · On-site

About the Role We are seeking an Autonomy Engineer to support the development, integration, and testing of autonomy software across a range of unmanned ground vehicle platforms. This hybrid position ...

Booz Allen Hamilton

Autonomy Engineer

Lorton, VA

$99K - $225K/yr

Autonomy Engineer The Opportunity: Conduct the research, development, integration, deployment, and evaluation of robotic and unmanned systems across multiple operational domains and DoD warfighter ...

Trusted Space, LLC

Autonomy Engineer

Chantilly, VA · Hybrid

$140K - $190K/yr

Autonomy Engineer Requisition ID: TA195 Location(s): Hybrid; Greater Denver Metro Area, CO: Northern, VA Application Deadline: July 31, 2026 Who We Are Trusted Space builds solutions both on the ...

Booz Allen Hamilton, Inc.

Autonomy Engineer

Lorton, VA · On-site

$99K - $225K/yr

Autonomy Engineer The Opportunity: Conduct the research, development, integration, deployment, and evaluation of robotic and unmanned systems across multiple operational domains and DoD warfighter ...

BOOZ, ALLEN & HAMILTON, INC.

Autonomy Engineer

Lorton, VA · On-site

$99K - $225K/yr

Autonomy Engineer The Opportunity: C ond uct the research, development, integration, deployment, and evaluation of robotic and unmanned systems across multiple operational domains and DoD warfighter ...

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Autonomy Engineer information

What are the key skills and qualifications needed to thrive in the Autonomy Engineer position, and why are they important?

To thrive as an Autonomy Engineer, you need expertise in robotics, control systems, sensor integration, and software development—often supported by a degree in engineering, computer science, or a related field. Familiarity with programming languages like C++ or Python, simulation environments such as ROS (Robot Operating System), and potentially certifications in robotics or AI are highly valuable. Strong problem-solving abilities, collaborative teamwork, and effective communication skills distinguish top candidates in this field. These skills and qualities are essential for designing, implementing, and refining autonomous systems that operate reliably and safely in real-world environments.

What are the typical projects and daily responsibilities of an Autonomy Engineer?

Autonomy Engineers typically work on projects involving the development, testing, and optimization of autonomous systems such as vehicles, drones, or robots. Daily responsibilities may include designing algorithms for sensor fusion or navigation, writing and reviewing code, integrating hardware with software, and running simulations or field tests. Collaboration is frequent, as you'll coordinate closely with mechanical, electrical, and software engineers, as well as project managers. The work is hands-on and fast-paced, offering opportunities to see your contributions directly impact the performance and reliability of cutting-edge autonomous technology.

What does an Autonomy Engineer do?

An Autonomy Engineer develops and integrates algorithms, sensors, and software to enable autonomous systems such as self-driving cars, drones, or robotics. They work with machine learning, computer vision, control systems, and sensor fusion to enhance navigation, perception, and decision-making capabilities. Their role involves testing and optimizing autonomous behaviors in simulations and real-world environments to ensure safety and efficiency.

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Autonomy Engineer jobs near you
Infographic showing various Autonomy Engineer job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
Autonomy Engineer

Autonomy Engineer

Software Engineering Institute

Pittsburgh, PA • On-site

Full-time

Posted 6 days ago

Job description

What We Do
At the SEI AI Division, we conduct research in applied artificial intelligence and the engineering questions related to the practical design and implementation of Artificial Intelligence (AI) technologies and systems. We currently lead a community-wide movement to mature the discipline of AI Engineering for Defense and National Security.
As our government customers adopt AI and machine learning (ML) to provide leap-ahead mission capabilities, we:
  • build real-world, mission-scale AI capabilities through solving practical engineering problems.
  • discover and define the processes, practices, and tools to support operationalizing AI for robust, secure, scalable, and human-centered mission capabilities.
  • prepare our customers to be ready for the unique challenges of adopting, deploying, using, and maintaining AI capabilities.
  • identify and investigate emerging AI and AI-adjacent technologies that are rapidly transforming the technology landscape.

Are you creative, curious, and collaborative? Do you enjoy doing meaningful and complex work? Are you interested in making a difference by bringing innovation to government organizations and beyond? Apply to join our team today!
Position Summary:
As an autonomy engineer in the AI for Autonomy Lab, you will identify, shape, apply, conduct, and lead engineering research that matches critical U.S. government needs. The AI for Autonomy Lab researches and demonstrates the application of AI-related technologies for improving the performance of autonomy systems. This position will have a primary focus on enhancing our simulation capabilities and applying these tools to support autonomy-related projects.
Duties:
  • Solution Development: You'll work with and lead interdisciplinary teams to turn research results into prototype operational capabilities for government customers and stakeholders.
  • Hands-on Prototyping: You'll conduct and lead novel prototyping in applied artificial intelligence with a focus on machine learning in autonomy and uncrewed systems (multi-domain).
  • Strategy: You'll work with AI Division leaders and colleagues to plan, develop, and carry out an overall research and engineering strategy, and to influence the national research and engineering agenda regarding future technology.
  • Collaboration: You'll actively participate on teams of software developers, researchers, designers, and technical leads. You'll build relationships and collaborate with researchers, government customers, and other stakeholders to understand challenges, needs, possible solutions, and research and engineering directions.
  • Mentoring: You'll contribute to improving the overall technical capabilities of the team by mentoring and teaching others, participating in design (software and otherwise) sessions, and sharing insights and wisdom across the SEI AI Division.

Requirements:
  • BS in Computer Science or related discipline with eight (8) years of experience; MS in the same fields with five (5) years of experience; PhD in Computer Science with two (2) years of experience.
  • This position is based onsite 5 days per week at SEI's offices in either Pittsburgh, PA or Arlington, VA.
  • Flexible to travel to other SEI offices in Pittsburgh and Washington, DC, sponsor sites, conferences, and offsite meetings on occasion. Moderate (25%) travel outside of your home location.
  • You will be subject to a background investigation and must be eligible to obtain and maintain a Department of War security clearance.

Knowledge, Skills, and Abilities:
  • Deep Technical Knowledge: You have performed extensive research or engineering activities in applied autonomy and artificial intelligence. You have worked with tools, techniques, algorithms, software, and programming languages for deep learning, reinforcement learning, statistics, sensors and sensor fusion, planning, computer vision, or related areas. In addition, you have demonstrated applying systems engineering principles and collaborated across multi-disciplinary project teams. You have supported multiple phases of the engineering lifecycle and understand the requirements for successful deployment and operation of complex systems.
  • Modeling & Simulation: You have deep experience using simulators for development, ML model training, and evaluation activities supporting uncrewed vehicle use cases. You understand current state of the art modelling techniques to build digital twin 3D objects and environments. You have addressed challenges related to marine, land, or space domains including sensor performance and collision meshes. Experience with physics-based simulators such as NVIDIA's Issac Sim is required.
  • Robotics & Autonomy: You have a strong understanding of robotics principles and design techniques for air, sea, or land-based vehicles. You have experience applying machine learning within these domains and understand the related implications and challenges. Your experience includes areas such as sensor fusion, navigation, object search/tracking, collision avoidance, multi-agent collaboration, and human-machine teaming.
  • Machine Learning: You have proven understanding of machine learning principles and have experience in applying machine learning techniques to real-world problems, showcasing a track record of successful implementations. You have designed and implemented complex machine learning functions and architectures tailored to specific autonomous systems. You are familiar with simulation environments and their role in training and testing machine learning models.
  • System Evaluation: You have designed and conducted system evaluation activities for ML components to assess operational fit and readiness. You have experience working with model experimentation software, such as MLFlow or Weights & Biases for rigorous model development and selection.
  • Applied Full-Stack Implementation: You have strong development experience and can design and implement software and systems resources for packaging and managing requirements for AI and ML prototypes. You frequently use tools like Docker to manage software resources and pipeline orchestration. You may have experience building applications in cloud platforms (Azure, AWS, Google Cloud Platform).
  • Communication and Collaboration: You have strong written and verbal communication skills and can interact collaboratively and diplomatically with customers and colleagues. You grasp the big picture, direction, and goals of an effort while focusing great attention to detail. You can present complex ideas to people who may not have a deep understanding of the subject area.
  • Dedication: You can meet deadlines while multi-tasking-sometimes under pressure and with shifting priorities.
  • Creativity and Innovation: You are creative and curious, and you are inspired by the prospect of collaborating with premier members of the technical staff and other visionaries at Carnegie Mellon and other universities and organizations. You quickly learn new procedures, techniques, and approaches. You are forward-looking and can connect research and engineering with practical challenges.
  • Knowledge and Learning: You possess broad technical interests along with a deep knowledge of a particular field such as machine learning, autonomy and adaptive systems, or data analytics.

Preferred Experience:
  • Thought Leadership and Publications: You have a track record of synthesizing lessons learned from research or engineering activities for publication. You have a reputation for the highest level of research and engineering integrity. You have demonstrated contributions and have published research, code (e.g., models, data, software applications), or technical perspectives.
  • Familiarity with Emerging Trends and Opportunities: You are familiar with technical challenges and emerging trends in computing and information science, and you are aware of opportunities in industry and government.
  • Technical Leadership: You have led technical projects and have experience collaborating across research teams and mentoring other researchers.
  • Proposals: You have formulated and delivered successful research and engineering proposals to funding agencies and led the resulting projects.
  • Government Projects: You have worked or are familiar with Navy, Marine, Air Force, Army, Space Force, DARPA, IARPA, Service Labs, or other government research sponsors.

Location
Arlington, VA, Pittsburgh, PA
Job Function
Software/Applications Development/Engineering
Position Type
Staff - Regular
Full time/Part time
Full time
Pay Basis
SalaryMore Information:
  • Please visit "Why Carnegie Mellon" to learn more about becoming part of an institution inspiring innovations that change the world.
  • Click here to view a listing of employee benefits
  • Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.
  • Statement of Assurance

Apply