Senior Research Engineer I

University of Southern California•Arlington, VA

14h•Onsite

About The Position

The Senior Research Engineer implements technical solutions to novel research problems while working under minimal supervision. This role collaborates closely with senior research staff to transform advanced research ideas into scalable, production-ready implementations. The ideal candidate brings deep technical expertise, leadership capability, and experience developing AI/ML-enabled systems within integrated research environments. This position plays a critical role in translating research into impactful technical solutions and may oversee junior staff and research contributors. The position requires U.S. citizenship with active Top Secret (TS) clearance and SCI eligibility . The University of Southern California’s Information Sciences Institute (ISI) is a world-renowned research organization at the forefront of computer science, artificial intelligence, and advanced information technologies. ISI conducts groundbreaking research in AI/ML, knowledge graphs, large-scale systems, and applied computing solutions that address complex, real-world challenges. We are seeking a Senior Research Engineer to join our dynamic research team and contribute to the design, development, and implementation of innovative research systems and technologies. This position is located at our Arlington, VA office. USC is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other characteristic protected by law or USC policy. USC observes affirmative action obligations consistent with state and federal law. USC will consider for employment all qualified applicants with criminal records in a manner consistent with applicable laws and regulations, including the Los Angeles County Fair Chance Ordinance for employers and the Fair Chance Initiative for Hiring Ordinance, and with due consideration for patient and student safety. Please refer to the Background Screening Policy Appendix D for specific employment screen implications for the position for which you are applying. We provide reasonable accommodations to applicants and employees with disabilities. Applicants with questions about access or requiring a reasonable accommodation for any part of the application or hiring process should contact USC Human Resources by phone at (213) 821-8100, or by email at uschr@usc.edu . Inquiries will be treated as confidential to the extent permitted by law. Notice of Non-discrimination Employment Equity Read USC’s Clery Act Annual Security Report USC is a smoke-free environment Digital Accessibility If you are a current USC employee, please apply to this USC job posting in Workday by copying and pasting this link into your browser: https://wd5.myworkday.com/usc/d/inst/1$9925/9925$142381.htmld

Requirements

Master’s degree in Computer Science, Engineering, or a related technical field
Combined experience/education may substitute for minimum education requirements
Minimum 8 years of relevant professional experience 10+ years preferred
Extensive experience supporting integrated AI/ML systems
Proficiency in one or more programming languages (e.g., Python, C++, Golang)
Experience with Linux environments
Experience with Docker containers and deployment
Experience with CI/CD workflows using Git
Experience developing integrated AI/ML systems and model evaluation frameworks
Experience creating evaluation datasets for AI/ML technologies
Strong understanding of software development lifecycles
Excellent written and verbal communication skills
Ability to independently manage complex technical assignments
Strong analytical and problem-solving capabilities
U.S. citizenship with active Top Secret (TS) clearance and SCI eligibility

Nice To Haves

Experience with Knowledge Graphs for large-scale inference and reasoning
Experience with AI, machine learning, deep learning (e.g., TensorFlow, PyTorch, HuggingFace)
Experience in very large-scale system integration
Proven leadership ability
Experience working in a university or research environment

Responsibilities

Implement research solutions using one or more programming languages (e.g., Python, C++, Golang).
Design, develop, and deploy systems using state-of-the-art engineering practices.
Independently implement solutions addressing targeted research system issues.
Review and provide technical feedback on implementations developed by others.
Maintain best practices in software design, implementation, and engineering.
Work closely with senior researchers to translate domain-specific needs into implemented solutions.
Apply extensive subject-matter expertise across multiple research areas.
Contribute technical innovations to research prototypes and applied projects.
Provide technical mentorship to junior engineers and researchers.
Offer formal or informal supervision within project teams.
Establish and promote engineering best practices across projects.
Summarize technical progress for reports and project documentation.
Participate in cross-group and external collaborator meetings.
Present research and technical work to external audiences.
Contribute to publications and conference submissions as appropriate.
Stay current with emerging technologies through literature review, conferences, and workshops.
Identify and evaluate new technologies to support research objectives.