What You Will Do
W-13 requires a dedicated computer science support staff member interested in working closely with engineering analysts. In this role you will work to develop and maintain more complete software packaging and distribution practices for in-house software projects comparable to the open source community. You will also serve as a Conda packaging subject matter expert for pure Python C++ and mixed Python and C++ software while helping us to maintain a secure work environment. In this role you will enable the weapons engineering simulation community to provide agile responsive and efficient simulation results with sufficiently predictive quantified uncertainty useful for engineering decisions for weapon design and system behavior by:
Growing the developer operations and compute environment management of W-13
Establishing and maintaining a Conda channel where software projects can be deployed against multiple sets of upstream dependencies for better and automated environment dependency resolution
The inclusion of C++ compiler and library management in addition to Python package management
Scientist 1 ($85400 - $139600)
Work collaboratively with group members to develop apply and optimize computational engineering scripts and software
Assist group members with the management of large-scale data analysis of simulation results to draw conclusions about and optimize computational performance
Scientist 2 ($94100 - $155700)
Serve as group Subject Matter Expert on scientific programming techniques large-scale data analysis methods and Software Quality Assurance practices
Serve as group Subject Matter Expert on software best practices and as group liaison with other LANL computing organizations
Work with group management to develop and execute strategic plans
Lead and participate in brainstorming sessions to determine optimal use of computational systems
Drive the implementation of long term and group wide computational solutions and analysis workflow best practices
What You Need
Minimum Job Requirements:
Experience with Code Development
Thorough experience with modern programming languages ( e.g. Python C++ MATLAB Julia) and their application to scientific computing (e.g. automation pre/post processing data analysis file I/O and parallel computing)
Configuration Management
Thorough experience with software configuration management and associated tools (e.g. git gitlab conda); Demonstrated proficiency in the use of high-performance computing architectures and knowledge of the drawbacks and benefits of such architecture with respect to simulation.
Communication and Teamwork
Excellent oral and written communication skills particularly in technical reports and presentations; experience meeting deliverable deadlines both independently and as part of a team
Additional Requirements at the Scientist 2 Level:
Technical Leadership
Demonstrated and proven experience leading projects integrating and coordinating work and working with customers to define computational tasks and plan deliverables
Developer Operations
Experience with Developer Operations (DevOps) including the deployment of custom software solutions continuous integration and deployment and maintenance of deployed software.
Education at the Scientist 1 level: Position requires a Bachelors Degree in Engineering or a STEM field from an ABET accredited institution and 2 years of related experience; or an equivalent combination of education and experience directly related to the occupation.
Education at the Scientist 2 level : Position requires a Bachelors Degree in Engineering or a STEM field from an ABET accredited institution and 4 years of related experience; or an equivalent combination of education and experience directly related to the occupation. At this level a Masters degree may be preferred.
Desired Qualifications:
System Administration and Management
Experience or training in system administration for Linux servers; managing software projects.
Active Q clearance or equivalent
DOE Q or DOD Top Secret security clearance within the last five years
Location: This position will be located in Los Alamos NM.
COVID Vaccine :
The COVID vaccine is mandatory for all Laboratory employees on-site contractors and on-site subcontractors unless granted an accommodation under applicable state or federal law. This requirement will apply to those working on-site those teleworking and all new hires.
Position commitment: Regular appointment employees are required to serve a period of continuous service in their current position in order to be eligible to apply for posted jobs throughout the Laboratory. If an employee has not served the time required they may only apply for Laboratory jobs with the documented approval of their Division Leader. The position commitment for this position is 1 year.
Note to Applicants: For full consideration applicants must submit a resume and a comprehensive cover letter that specifically addresses each of the requirements.
Where You Will Work
Located in beautiful northern New Mexico Los Alamos National Laboratory (LANL) is a multidisciplinary research institution engaged in strategic science on behalf of national security. Our generous benefits package includes:
PPO or High Deductible medical insurance with the same large nationwide network
Dental and vision insurance
Free basic life and disability insurance
Paid childbirth and parental leave
Award-winning 401(k) (6% matching plus 3.5% annually)
Learning opportunities and tuition assistance
Flexible schedules and time off (paid sick vacation and holidays)
Onsite gyms and wellness programs
Extensive relocation packages (outside a 50 mile radius)
Additional Details
Directive 206.2 - Employment with Triad requires a favorable decision by NNSA indicating employee is suitable under NNSA Supplemental Directive 206.2 . Please note that this requirement applies only to citizens of the United States. Foreign nationals are subject to a similar requirement under DOE Order 142.3A.
Clearance: Q (Position will be cleared to this level). Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements
for access to classified matter. This position requires a Q clearance which requires US Citizenship except in extremely rare circumstances. Dependent upon position additional authorization to access nuclear weapons information may be required that may or may not be available to dual citizens depending upon the circumstances.
Eligibility requirements: To obtain a clearance an individual must be at least 18 years of age; U.S. citizenship is required except in very limited circumstances. SeeDOE Order 472.2 for additional information.
New-Employment Drug Test: The Laboratory requires successful applicants to complete a new-employment drug test and maintains a substance abuse policy that includes random drug testing.
Regular position: Term status Laboratory employees applying for regular-status positions are converted to regular status.
Internal Applicants: Regular appointment employees who have served the required period of continuous service in their current position are eligible to apply for posted jobs throughout the Laboratory. If an employee has not served the required period of continuous service they may only apply for Laboratory jobs with the documented approval of their Division Leader. Please refer to PolicyPolicy P701for applicant eligibility requirements.
Equal Opportunity: Los Alamos National Laboratory is an equal opportunity employer and supports a diverse and inclusive workforce. All employment practices are based on qualification and merit without regard to race color national origin ancestry religion age sex gender identity sexual orientation or preference marital status or spousal affiliation physical or mental disability medical conditions pregnancy status as a protected veteran genetic information or citizenship within the limits imposed by federal laws and regulations. The Laboratory is also committed to making our workplace accessible to individuals with disabilities and will provide reasonable accommodations upon request for individuals to participate in the application and hiring process. To request such an accommodation please send an email to applyhelp@lanl.gov or call 1-505-665-4444 option 1. Employment Status
Full Time
Appointment Type
Regular
Regular
Contact Details
Contact Name Johnson Dana Elizabeth
Email danaj@lanl.gov
Work Telephone
Vacancy Name: IRC97895
Organization Name W-13 / Advanced Engineering Analysis
Minimum Salary
Maximum Salary
The work we do at Los Alamos National Laboratory delivers science and technology to protect our nation and promote world stability. In the Advanced Engineering Analysis Group (W-13) we lead the development of computational engineering solutions and expertise in support of national security challenges.
We strive to provide our national security customers with timely and accurate answers to complex engineering problems by creatively combining cutting-edge numerical tools across collaborative teams. Our customers include the nuclear weapons program the Department of Homeland Security and the Department of Defense among others. Our group expertise includes structural mechanics structural dynamics heat transfer radiation transport thermodynamics hydrodynamics probabilistic methods material modeling and numerical analysis.
There is a push in the weapons engineering community to increase the impact of modeling and simulations on weapons design qualification and surveillance. To achieve this goal the weapons engineering simulation community must provide agile responsive and efficient simulation results with sufficiently predictive quantified uncertainty useful for engineering decisions for weapon design and system behavior. Many software tools computing environments databases interfaces and workflows are required across several divisions and groups to realize this vision. Within this vision the Advanced Engineering Analysis group W-13 is tasked with developing computational capabilities and capacity that confidently and sufficiently reproduce all material interface part assembly and system response when subject to all environments.
Req ID: IRC97895
Category: Science
