Empire AI · 20 hours ago
Manager, Computational Science Research Computing (AI Focus)
NYC Metro Area
Full-time
Hybrid
Mid, Senior Level
$100K/yr - $250K/yr
5+ years expEmpire AI is establishing New York as the national leader in responsible artificial intelligence. The Manager, Research Software Engineering will support AI-driven research across New York State’s public and private research institutions, collaborating with researchers to design and optimize computational workflows for various disciplines.
Computer Software
Hiring Manager
Bang Adamcik
Responsibilities
Collaborate with researchers to design, implement, and tune computational workflows across HPC and AI systems
Support GPU-accelerated applications, parallel computing, and distributed machine learning training pipelines
Enable scalable, reproducible workflows using tools such as Slurm, Dask, Apptainer, Snakemake, or Nextflow
Partner with research teams across institutions to co-develop technical components of research projects
Act as a technical co-PI or collaborator on funded projects, contributing to research design and implementation
Assist with data wrangling, model training, and performance benchmarking in collaboration with faculty
Contribute to the preparation of grant proposals by drafting technical narratives, budget justifications, and cyberinfrastructure plans
Co-author or support preparation of publications, white papers, and presentations
Help translate research outputs into reusable software modules or scalable workflows
Provide subject matter expertise in AI/ML tools, GPU optimization, and data-intensive computing
Work with system administrators and architects to identify user needs and ensure platform alignment
Evaluate new software tools and frameworks for readiness, compatibility, and performance
Provide informal mentoring to junior researchers, postdocs, and students working on computational projects
Deliver technical workshops or tutorials for domain scientists adopting advanced computing tools
Contribute to cross-institutional knowledge-sharing and training initiatives
Participate in strategic infrastructure planning or pilot projects
Contribute to institutional initiatives in responsible AI, compliance, or interdisciplinary data science
Qualification
Required
Ph.D. in a STEM discipline involving computational research (e.g., Computer Science, Physics, Bioinformatics, Applied Math, Engineering), or a Master's degree with significant experience
5+ years of experience supporting or conducting research using HPC, AI/ML, or large-scale data infrastructure
Demonstrated ability to support researchers in a collaborative, service-oriented environment
Proficiency with programming languages such as Python, R, or C/C++
Experience with Linux environments and job scheduling systems (e.g., Slurm)
Preferred
Advanced knowledge of deep learning frameworks (e.g., PyTorch, TensorFlow) and scientific computing tools (e.g., NumPy, scikit-learn, CUDA, MPI)
Experience developing scalable workflows for multi-node GPU clusters
Familiarity with research data lifecycle management, FAIR principles, and secure data handling (e.g., HIPAA, NIST 800-171)
Experience writing or supporting competitive federal proposals (e.g., NSF, NIH, DOE)
Background in reproducible research practices, version control (e.g., Git), and containerized computing
Contributions to open-source scientific software projects or community research tools
Company
Empire AI
Launched in April 2024 by Governor Kathy Hochul, Empire AI is a bold partnership of public and private universities in New York that will establish a state-of-the-art artificial intelligence computing center at SUNY’s University at Buffalo to facilitate statewide innovation, research, and development of AI technologies.
2-10 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase