Senior​/Principal Computer Science, Computational Modeling- Hybrid

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Sandia National Laboratories is the nation’s premier science and engineering lab for national security and technology innovation, with teams of specialists focused on cutting-edge work in a broad array of areas. Some of the main reasons we love our jobs:

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*

World-changing technologies. Life-changing careers. Learn more about Sandia at: http://(Use the "Apply for this Job" box below)..gov

* These benefits vary by job classification.

What Your Job Will Be Like:

We are seeking a Member of Staff

We have two teams that are seeking a member of staff to develop and produce state-of-the-art methods for solving computational mechanics optimization problems in several areas. This includes inverse problems, Optimal Experimental Design (OED), and computational design with topology and shape optimization. Work requires being located (or relocating) near Albuquerque, New Mexico (or Livermore CA) such that one could report to work at Sandia National Labs as needed for team activities as needed.

Depending on team and focus, on any given day, you may be called on to:

Develop fundamental algorithm research on inverse methods, optimal design of experiments, shape and topology optimization oriented towards C++ implementation in a massively parallel computing environment.

Team across computational and experimental groups at Sandia to optimize design and testing workflows, fuse test data and simulations for parameter estimation, computational non-destructive evaluation, and design of experiments.

Implement research ideas in a massively parallel C++ computing environment.

Integrate AI/ML strategies with optimization-based solutions for design and inverse problems.

Work well with a team of people focused in this area of research.

Publish research in leading technical journals and present work at premier conferences and workshops.

The selected applicant can work a combination of onsite and offsite work. The selected applicant must live within a reasonable distance for commuting to the assigned work location when necessary.

Salary Range:

$138,600 - $235,700

* Salary range is estimated, and actual salary will be determined after consideration of the selected candidate's experience and qualifications, and application of any approved geographic salary differential.

Qualifications We Require:

A 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 such as:

Experience with fields of optimization.

Experience with computational mechanics concepts and application.

Experience with scientific programming including some exposure to and C++ and scripting language

Ability to acquire a DOE Q-level security clearance

Qualifications We Desire:

The ideal R&D S&E Computer Science Engineer candidate for Sandia National Laboratories will in addition possess the following:

Graduate degree in Computer Science or a highly related field where an independent research project was a graduation requirement (e.g., independent project, thesis, or dissertation).

Demonstrated software development skills and familiarity with modern software development practices and tools (e.g., Agile).

Strong verbal and written communication skills, ability to work effectively in multidisciplinary teams, and a passion to improve and expand technical skills.

Also, for this posting we are seeking individuals with the following experience:

PhD in Computer Science, Engineering or related STEM field using computer science, or Masters equivalent experience.

Good communication, presentation, and technical writing skills

Strong background in applied mathematics, mechanics, and software development

Depth and breadth in several aspects of computational mechanics (e.g., equations solvers, element formulations, multi-scale approaches, data structures, coupled physics)

Experience with adjoint-based optimization techniques and application of these methods for solving complex design and inverse problems

Experience with software design/architecture/testing skills

Experience with software quality and…