Group Manager – Scalable Algorithms, Modeling, and SimulationNational Laboratory of the Rockies • New York, New York, United States
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Group Manager – Scalable Algorithms, Modeling, and Simulation
National Laboratory of the Rockies
- New York, New York, United States
- New York, New York, United States
À propos
CO - Golden
Position Type:
Regular
Hours Per Week:
40
Job Description 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. NLR’s Computational Science Center conducts research to advance the science of computing across advanced computer science, visualization, data science, AI/ML, applied math, and computational science, as well as providing computing expertise to the NLR community and staffing for project execution.
The core mission of the Scalable Algorithms, Modeling, and Simulation (SAMS) group is at the intersection of applied mathematics and computational science for research; it includes basic and applied research in numerical methods, algorithms, and simulation code capability to address challenges in a wide variety of fluid flow regimes, including both internal and external flows in support of the NLR mission. The SAMS group is a broad, multidisciplinary organization, containing key institutional capabilities in fluid mechanics, computer science, applied mathematics, and simulation science. Collaboration is at the heart of our work – our researchers partner with scientists across NLR to deeply understand their computational challenges and co‑develop tailored solutions, including cross‑cutting capabilities for fluid mechanics simulation that enables rapid progress and deployment in the NLR mission space.
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.
Honor NLR’s employment opportunity, affirmative action, and anti‑sexual‑harassment programs, policies, and procedures.
Basic Qualifications
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 and/or significant leadership in an individual contributor role required. Degree in appropriate field may be required.
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.
Must meet educational requirements prior to employment start date.
Additional 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.
Ability 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.
Preferred Qualifications
Thought leadership in multi‑disciplinary collaborations.
Past leadership accomplishments, including managing a multi‑disciplinary team.
Understanding of energy systems and technologies, artificial intelligence, HPC, or other relevant fields aligning with NLR’s mission.
Experience in business development and/or management across multiple sectors and diverse clients.
Exceptional leadership potential, including conceptual thinking ability; differentiated interpersonal, collaborative, and negotiating skills; ability to inspire and motivate personnel and model critical leadership skills and values; ability to engage effectively with both computational and analysis communities.
Initiative, creativity, and communication skills necessary to effectively propose new or expanded research efforts to the DOE as well as industrial and academic partners.
Preferred ability to obtain a DOE‑sponsored security clearance.
Benefits Summary Benefits include 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; and tuition reimbursement. Some positions may be eligible for, but are not guaranteed, performance‑, merit‑, and achievement‑based awards that include a monetary component. Limited‑term positions are not eligible for long‑term disability or tuition reimbursement.
* Based on eligibility rules
Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, domestic partner status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws.
Reasonable Accommodations Reasonable Accommodations (http://www.nrel.gov/careers/employment-policies.html)
E-Verify E-Verify is a registered trademark of the U.S. Department of Homeland Security. This business uses E-Verify in its hiring practices to achieve a lawful workforce.
Badging Requirement NLR is subject to Department of Energy (DOE) access restrictions. All employees must also be able to obtain and maintain a federal Personal Identity Verification (PIV) card as required by Homeland Security Presidential Directive 12 (HSPD-12), which includes a favorable background investigation.
Drug Free Workplace NLR is committed to maintaining a drug‑free workplace in accordance with the federal Drug‑Free Workplace Act and complies with federal laws prohibiting the possession and use of illegal drugs. Under federal law, marijuana remains an illegal drug. If you are offered employment at NLR, you must pass a pre‑employment drug test prior to commencing employment. Unless prohibited by state or local law, the pre‑employment drug test will include marijuana. If you test positive on the pre‑employment drug test, your offer of employment may be withdrawn.
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Compétences linguistiques
- English
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