Research Software Engineer - Robotics & Simulation (Data Science and AI Institute)

Special knowledge, skills, and abilities required

• Expert-level knowledge of Python (preferred) and/or C++ and willingness to learn other languages as needed.
• Expert-level knowledge of multiple modern AI/ML, vision, NLP, bioinformatics and/or mathematical or computational libraries.
• Familiarity with software containerization technologies such as Docker and Singularity.
• Familiarity with RESTful web service principles and development.
• Familiarity with SQL and relational database principles and development.
• Fluency in the Linux operating system and related tools.
• Familiarity with modern software engineering best practices, such as Git source control, peer code review, test-driven development, build automation and continuous integration / continuous delivery.
• Familiarity with cloud development and deployment.
• Demonstrated leadership and self-direction.
• Willingness to teach others both informally and in short course format.
• Willingness to continually learn new tools and techniques as needed.
• Excellent verbal and written communication.
• Masters in a quantitative discipline, such as Computer Science, Engineering, Physics or Bioinformatics with strong scientific computing and/or mathematics background
• Three (3) years experience working in software development and in large projects and three (3) year's experience in development and application of,
• AI/ML - developing, training and applying state of the art models in practical scientific applications aligned with DSAI domains, or
• Data science - modeling, transforming, applying ETL pipelines, and similar operations to complex data sets at scale.
• Additional education may substitute for required experience, and additional related experience may substitute for required education beyond a high school diploma/graduation equivalent, to the extent permitted by the JHU equivalency formula.
• PhD in a quantitative discipline (highly preferred).
• Exceptional ML skills and experience.
• Experience with,
• Nvidia ML software ecosystem.
• Nvidia Issac robotics simulation and learning platform
• Fluid dynamics and biomechanical simulations.
• Optimization and GPU acceleration of simulations.
• Five (5) years’ experience as above in either AI/ML or data science concentration.
• Experience developing, training, fine-tuning and applying LLMs and/or foundational models.
• Experience deploying AI models onto clinical platforms.
• Experience with large scale scientific simulations or simulations of air/terrestrial/sea vehicles.
• Familiarity with data formats common in scientific domains such as medical imaging, genomic sequences, proteins, chemical structures, geospatial, oceanographic, and heath record data.
• Experience in CUDA GPU programming.
• Experience authoring open-source Python packages in PyPI.
• Experience in open-source project governance.
• Experience in open-source community adoption initiatives.

Job Posting Title (Working Title): Research Software Engineer - Robotics & Simulation (Data Science and AI Institute) Role/Level/Range: APPTSTAF/01/ST Starting Salary Range: Commensurate w/exp.

Employee group: Full Time Schedule: M-F, 37.5 hrs wkly FLSA Status: Exempt Location: Hybrid/MT Washington Campus Department name: DSAI Institute Personnel area: Whiting School of Engineering