Edge AI Research Scientist

Edge AI Research Scientist (MTS-C)

What We Do:

At the SEI’s Enabling Edge Intelligence (E2I) team, we bridge the gap between breakthrough edge AI research and operational, real-world deployment. Our multi-disciplinary team of software engineers, researchers, and data scientists designs and optimizes intelligent edge systems for resource-constrained environments where reliability, safety, and performance are primary drivers. We focus on three core areas:

• Evolving Systems for Next-Gen AI: Pioneering methods to integrate emerging paradigms like small language models (SLMs), agentic AI, and hardware-aware runtime optimization.
• Seamless Cloud-to-Tactical Integration: Driving effective deployment of intelligent capabilities across the full compute continuum—from enterprise cloud down to the tactical edge.
• Mission-Critical Infrastructure: Architecting resilient capabilities and infrastructure that keep edge operations running reliably in real-world scenarios.

Position Summary:

We are seeking a visionary an Edge AI Research Scientist to develop, mature, prototype, and transition technology that redefines edge intelligence and delivers tangible impact to critical missions. In this role, you will lead high-visibility research initiatives, striking a balance between solving immediate, real-world customer challenges and pioneering long-term solutions to complex technical bottlenecks. You will serve as a lead technical voice — presenting groundbreaking work to executive stakeholders, defense and industry partners, and top-tier academic communities — while actively advancing our core research agenda in areas such as:

• Agentic systems for edge intelligence
• Software engineering to support edge missions
• Resource management for edge systems
• Adaptive systems for mission resilience

As a member of the AI-Native Software Engineering (AISE) Directorate, you will also collaborate within the AISE Lab, directly shaping and mastering state-of-the-art AI-assisted tools and workflows that are actively transforming the modern software engineering lifecycle.

Requirements:

• Education & Experience: PhD in Computer Science, Software Engineering, Machine Learning, or a related field with 2+ years of experience in edge AI system engineering—or equivalent experience (e.g., 8+ years demonstrated experience in developing and transitioning innovative technical solutions to operational practice).
• Empirical Research: Proven track record of rigorous empirical research design, experimentation, and quantitative validation.
• Communication: Exceptional written and oral communication skills, with a proven ability to translate complex research into compelling technical narratives.

Desired Experience, Knowledge, Skills, and Abilities:

• Operational Deployment: Practical experience building and deploying edge AI software (or systems with similar hardware/network constraints) into real-world operational environments.
• Academic Leadership: Proven ability to publish and present research findings at premier software engineering, edge computing, or AI conferences and journals.
• Research Funding: Track record of crafting, winning, and executing research proposals or securing funding from government agencies or strategic industry partners.
• Analytical & Interpersonal Leadership: Outstanding analytical capabilities paired with strong interpersonal skills to collaborate effectively across multi-disciplinary teams.

Other Requirements:

• Travel: Ability to travel (~10%) to present at top-tier venues including but not limited to conferences, collaborate with sponsors, and attend strategic offsite meetings.
• Onsite Presence: Willingness and capability to work onsite at the SEI main office in Pittsburgh, PA (5 days/week).
• Security Clearance: You will be subject to a background investigation and must be able to obtain/maintain a Department of War security clearance.

.

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.

At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it’s about finding the perfect fit for your professional growth and personal aspirations.

Are you interested in an exciting opportunity with an exceptional organization?! Apply today!

Location

Pittsburgh, PA

Job Function

Software/Applications Development/Engineering

Position Type

Staff – Regular

Full Time/Part time

Full time

Pay Basis

Salary

More 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