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
As our government customers adopt AI technologies 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
Are you creative, curious, energetic, collaborative,
technology-focused, and hard-working?
Are you interested in making a difference by bringing innovation to
government organizations and beyond?
Apply to join our team.
As an AI Autonomy Engineer
you will identify, shape,
apply, conduct, and lead engineering research that matches critical
U.S. government needs.
- BS in Computer Science or related discipline with eight (8)
years of experience; OR MS in the same fields with five (5) years
of experience; OR PhD with three (3) years of experience.
- 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
- You will be subject to a background investigation and must be
eligible to obtain and maintain a Department of Defense security
- Applicants for this position must be currently legally
authorized to work for CMU in the United States. CMU will not
sponsor or take over sponsorship of an employment visa for this
- Solution D evelopment: You’ll work with and lead
interdisciplinary teams to turn research results into prototype
operational capabilities for government customers and
- Hands-on P rototyping: You’ll conduct and lead novel
prototyping in applied artificial intelligence with a focus on a
utonomy and u ncrewed systems (multi-domain)
- Strategy : You’ll work with AI Division leaders and
colleagues to plan, develop, and carry out an overall research
strategy, and to influence the national research agenda regarding
- Collaboration : You'll actively participate on teams of
AI/ML engineers, researchers, designers, and technical leads.
You'll build relationships and collaborate with external thought
leaders, government customers, and other stakeholders to understand
challenges, needs, possible solutions, and research and engineering
- Mentoring: You'll contribute to improving the overall
technical capabilities of the team by mentoring and teaching
others, participating in technical design and planning sessions,
and sharing insights and wisdom across the SEI AI Division.
Knowledge, Skills, and Abilities:
- Deep T echnical K nowledge: You have performed
extensive research or engineering activities in applied AI/ML . You
have demonstrated applying system s engineering principles and
collaborated across multi- disciplinary project teams. You have
supported multiple phases of the engineering lifecycle and
understand the r equirements for successful deployment and
operation of complex systems.
- Robotics & Autonomy: You have a strong understanding
of robotics principles and design techniques for air, sea, or land
- based vehicles. You have experien ce applying A I technology
within th ese domain s and understand the related implications and
challenges. Your experience includes areas such as sensor fusion,
navigation, collision avoidance, object search/tracking,
multi-agent collaboration, and human-machine teaming .
- Reinforcement Learning : You have p rofound
understanding of re inforcement l earning principles and have a s
trong grasp of multi-agent reinforcement learning techniques,
including decentralized and centralized training approaches . You
have experience in applying reinforcement learning techniques to
real-world problems, showcasing a track record of successful
implementations. You have design ed and implement ed complex
reinforcement learning reward functions and architectures tailored
to specific autonomous systems. You are familiar with simulation
environments and their role in training and testing reinforcement
learning models .
- Test & Evaluation: You have designed and conducted
test and evaluation activities for AI/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/ML
prototypes. You frequently use tools like Docker to manage software
resources and pipeline orchestration. You may have experience
building applications in c loud platforms (Azure, AWS, Google Cloud
- 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 diverse audiences, from subject matter experts to high-level
strategic decision makers .
- 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, mission applications .
- Knowledge and Learning: You possess broad technical
interests along with a deep knowledge of a particular field such as
autonomy and adaptive systems, electronic warfare, predictive
maintenance, or natural language generation .
Other Requirements :
- Thought Leadership and P ublications : 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 (thought leadership)
- Familiarity with E merging T rends and O pportunities :
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 L eadership : You have led technical projects
and have experience collaborating across teams and mentoring other
researchers or engineers .
- Proposals : You have formulated and delivered successful
research proposals to funding agencies and led the resulting
- Government projects : You have worked or are familiar
with Navy, Marines, Air Force, Army, Space Force, DARPA, IARPA,
Service Labs, or other government research sponsors
Arlington, VA, Pittsburgh, PA
Staff – Regular
Full time/Part time
Salary More Information:
- Please visit “ Why Carnegie Mellon ” to learn more about
becoming part of an institution inspiring innovations that change
- Click here to view a listing of employee benefits
- Carnegie Mellon University is an Equal Opportunity
- Statement of Assurance