Group Manager – Scalable Algorithms, Modeling, and Simulation

About the role

The National Laboratory of the Rockies (NLR) is seeking an accomplished leader for the role of Group Manager within the Computational Science Center (CSC) with foci on Scalable Algorithms, Modeling, and Simulation.

Responsibilities

• Provide vision, strategic planning, and leadership to the group and center around scalable algorithms, modeling, and simulation.
• Work closely with other group managers to develop computational strategy writ large to address the NLR mission.
• Keep up to date with advancements in technologies related to the focus of the SAMS group.
• Develop strategic staffing plans and recruit world-class talent.
• Hold regular team meetings to review strategic priorities, promote team cohesion, and provide growth paths for staff.
• Effectively manage the group with respect to finances, performance reviews, and other administrative functions necessary for proper execution.
• Actively support workforce development by providing coaching, mentoring, training, and other development opportunities for staff and managers.

Requirements

• Group Manager II Level: Bachelor’s Degree and 9-years’ experience in technically related research discipline; Or, Master’s Degree and 7-years’ experience in technically related research discipline; Or, PhD and 4-years’ experience in technically related research discipline. Previous management, budget development or significant leadership in an individual contributor role required.
• Group Manager III Level: Bachelor’s Degree and 14-years’ experience in technically related research discipline; Or, Master’s Degree and 12-years’ experience in technically related research discipline; Or, PhD and 9-years’ experience in technically related research discipline. Previous management, budget development required.

Qualifications

• Passion for delivering on the practical realities of future computing, including novel computing paradigms, massive heterogeneity, and evolving software stacks, with science as the main driver.
• Experience integrating AI/ML with simulation and modeling workflows and advancing AI-enabled computational science.
• Demonstrated success in leading or contributing to proposal development and funding capture.
• Strong analytical skills and creative thinking abilities.
• Evidence of impactful ideas realized in code, publications, benchmarks, or deployed capabilities; willingness to iterate, learn from failure, and refine designs.
• Track record of research and/or technology innovation in computational science or related discipline.
• Able to lead and direct personnel with diverse skills, work styles, and values, both directly and through subordinate management.
• Excellent customer and solution-oriented problem-solving skills.
• Ability to lead and influence across organizational boundaries in a matrixed research environment.
• Ability to develop and maintain positive relationships internally to NLR and externally with sponsors and research partners.
• Ability to bridge gaps between domain language (engineering, science) and computing solution language.
• Excellent oral and written communication skills.
• Excellent organization, project management, budgeting, interpersonal and communication skills.
• Proven problem-solving and negotiation skills.
• Ability to collaborate with individuals at all levels of the organization.
• Demonstrated ability to effectively lead and direct personnel with diverse skills, work styles and values, both directly and through subordinate management.
• Demonstrated skill in dealing with legal and ethical management issues and practices.
• Broad and in-depth knowledge of the issues and best practices in the applicable field of expertise.

Skills

• Deep understanding of computational simulation concepts, such as scalable CFD discretization and algorithms, multiphysics/multiregime fluid modeling, linear and nonlinear solvers at scale, time integration and stability, geometry, meshing, and adaptation pipelines, high-performance computing and performance portability, and cross-domain co-design and impact.

Benefits

• Medical, dental, and vision insurance.
• Short*-and long-term disability insurance.
• Pension benefits*.
• 403(b) Employee Savings Plan with employer match*.
• Life and accidental death and dismemberment (AD&D) insurance.
• Personal time off (PTO) and sick leave.
• Paid holidays.
• Tuition reimbursement*.