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About the position
The High Performance Computing Technical Staff for AI/ML position at Los Alamos National Laboratory focuses on expanding the laboratory's capabilities in artificial intelligence and machine learning within high-performance computing environments. The role offers opportunities for immediate impact and long-term career growth, with responsibilities varying based on the level of the position (Scientist 2 or Scientist 3). The selected candidates will engage in DevOps, technical support, data science, software development, and strategic planning, while also mentoring students and collaborating with peers.
Responsibilities
- DevOps including CI/CD.
- Technical support for both HPC Division peers and users.
- Data science and data analysis.
- Software development through the full cycle, including requirements generation, design, documentation, implementation, code review, integration/testing, profiling/tuning, debugging, etc.
- Evaluation of technologies, products, workflows, research products, etc., and development of recommendations.
- Representing HPC-ENV at workshops, meetings, conferences, etc.
- Contributing to strategy planning and best practices development.
- Mentoring students.
Requirements
- Demonstrated effective written and oral communication/teamwork abilities.
- Demonstrable accomplishments in Python programming.
- Experience with AI, ML, and/or statistics principles, workflows, and tools (PyTorch, TensorFlow, scikit-learn, NLTK, etc.).
- Proficiency in UNIX shells (Bash, Zsh, Fish, etc.) and command line programs.
- Experience with containers and container technologies (Charliecloud, Docker, Podman, Singularity/Apptainer, LXC, etc.).
- For Scientist 3: Demonstrable accomplishments as technical lead on a project.
- For Scientist 2: Bachelor's degree in a STEM field and 4 years of related experience.
- For Scientist 3: Master's degree in a STEM field and 6 years of relevant experience.
Nice-to-haves
- Experience in large-scale production computing environments, including HPC.
- Background in customer service and/or public-facing roles.
- Familiarity with DevOps principles, tools, and workflows.
- Experience evaluating software and/or computing systems on performance metrics.
- Skills in data analysis, including cleaning, pre-processing, feature engineering, model training/validation.
Benefits
- PPO or High Deductible medical insurance with a large nationwide network.
- Dental and vision insurance.
- Free basic life and disability insurance.
- Paid childbirth and parental leave.
- Award-winning 401(k) with 6% matching plus 3.5% annually.
- Learning opportunities and tuition assistance.
- Flexible schedules and time off (PTO and holidays).
- Onsite gyms and wellness programs.
- Extensive relocation packages (outside a 50 mile radius).
