Autonomy Engineer

Carnegie Mellon University; Arlington (VA); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Medical Insurance

Retirement Benefits

Tuition Benefits

Paid Time Off

Life Insurance

Transit Pass

Job summary

Carnegie Mellon University’s SEI AI Division seeks an autonomy engineer to lead and conduct engineering research for government needs. You will focus on enhancing simulation capabilities and applying tools to autonomy-related projects, partnering with interdisciplinary teams to turn research into prototype operational capabilities for defense customers.

You will mentor teammates, contribute to software design sessions, and drive execution across software, hardware, and AI pipelines using modern

Qualifications

• Extensive research or engineering in applied autonomy and AI.
• Experience with ML for autonomy and uncrewed systems.
• Strong systems engineering background across lifecycle stages.

Responsibilities

• Lead interdisciplinary teams to turn research into prototype capabilities for government customers.
• Conduct and lead prototyping in AI for autonomy and uncrewed systems.
• Plan and execute a research and engineering strategy aligning with national defense needs.
• Collaborate with researchers, government customers, and stakeholders to define challenges and directions.
• Mentor team members and contribute to design sessions and knowledge sharing.

Skills

Deep Technical Knowledge

Modeling & Simulation

Robotics & Autonomy

Machine Learning

System Evaluation

Applied Full-Stack Implementation

Communication and Collaboration

Dedication

Creativity and Innovation

Knowledge and Learning

Docker

MLFlow

Weights & Biases

Education

Bachelor's degree in Computer Science

Master's degree in Computer Science

PhD in Computer Science

Tools

NVIDIA Issac Sim

Docker

Azure

AWS

GCP

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, and identify and investigate emerging AI and AI-adjacent technologies that are rapidly transforming the technology landscape.

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 is familiar with Navy, Marine, Air Force, Army, Space Force, DARPA, IARPA, Service Labs, or other government research sponsors.

Benefits

Joining the CMU team opens the door to an array of exceptional benefits. Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits, take well-deserved breaks with ample paid time off and observed holidays, and rest easy with life and accidental death and disability insurance. Additional perks include a free Pittsburgh Regional Transit bus pass, access to our Family Concierge Team to help navigate childcare needs, fitness center access, and much more! For a comprehensive overview of the benefits available, explore our Benefits page.

Equal Opportunity Statement

Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran. Statement of Assurance.

Location

Arlington, VA, Pittsburgh, PA

Job Function

Software/Applications Development/Engineering

Position Type

Staff – Regular

Full Time/Part time

Full time

Pay Basis

Salary