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Senior/Principal Computer Scientist - Optimization & Operations Researcher

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Sandia National Laboratories

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Location:
United States , Albuquerque

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Contract Type:
Not provided

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Salary:

117500.00 - 235700.00 USD / Year

Job Description:

The Discrete Math and Optimization Department advances mathematical and computational capabilities to address Sandia's critical mission challenges. We are seeking an innovative Computer Science- Optimization and Operations Researcher to lead R&D efforts within our diverse team.

Job Responsibility:

  • Designing and implementing novel optimization algorithms and advanced operations research methods
  • Applying mathematical modeling to critical domains, including power grid modeling and analysis, cybersecurity, process systems engineering, and national security logistics
  • Developing robust, scalable software tools that empower mission partners and advance the capabilities of the global scientific community
  • Collaborating across disciplines to bridge the gap between theoretical mathematics and practical, real-world applications and solutions
  • Sharing results via high-impact publications and presentations to funding agencies, stakeholders, and the broader research community

Requirements:

  • Bachelor's degree in a relevant discipline and five (5) years of directly relevant experience, or an equivalent combination of directly relevant education and engineering or scientific experience that demonstrates the knowledge, skills, and ability to perform independent research and development
  • Ability to obtain and maintain a DOE Q clearance
  • Graduate degree in Computer Science or a highly related field where an independent research project was a graduation requirement
  • Strong verbal and written communication skills, ability to work effectively in multidisciplinary teams, and a passion to improve and expand technical skills
  • PhD in Applied Mathematics, Computer Science, Engineering, Operations Research, or a closely related quantitative field, along with a Bachelor's degree in a STEM discipline
  • Demonstrated experience with major optimization paradigms, including Linear Programming (LP), Mixed-Integer Programming (MIP), Stochastic Programming, and/or Nonlinear Programming (NLP), or advanced Constraint Programming
  • Proficiency in Python and experience with modern software development and engineering practices, including version control (e.g., GitLab), testing, and collaborative coding workflows
  • A record of peer-reviewed publications and presentations at major scientific conferences demonstrating research leadership, combined with a history of successful project delivery, implementation, and/or technology transfer
  • Proven experience as a constructive and inclusive team lead or member within a diverse, interdisciplinary research environment, demonstrating responsibility and responsiveness in project execution
  • Expertise in theoretical and computational aspects of Mixed Integer Programming (MIP), Stochastic Programming, and other algorithms for discrete optimization
  • Applied experience in one or more critical areas: process systems engineering, dynamic optimization and control, and/or electric grid modeling and analysis
  • Competence and familiarity with high-performance scientific computing, experience leveraging optimization solvers (e.g., CPLEX, Gurobi, and Ipopt) and modeling environments (e.g., Pyomo and JuMP), and proficiency in programming languages for scientific computing (e.g., C/C++ and Julia)
  • A track record of contributing to open-source research software and leveraging high-performance computing environments to solve complex optimization problems
  • Proven ability to engage effectively with program managers, funding agencies, and other stakeholders to align research goals with mission priorities
What we offer:
  • Challenging work with amazing impact that contributes to security, peace, and freedom worldwide
  • Extraordinary co-workers
  • Some of the best tools, equipment, and research facilities in the world
  • Career advancement and enrichment opportunities
  • Flexible work arrangements for many positions include 9/80 (work 80 hours every two weeks, with every other Friday off) and 4/10 (work 4 ten-hour days each week) compressed workweeks, part-time work, and telecommuting (a mix of onsite work and working from home)
  • Generous vacation, strong medical and other benefits, competitive 401k, learning opportunities, relocation assistance and amenities aimed at creating a solid work/life balance

Additional Information:

Job Posted:
January 18, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:
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