HPC Software Engineer 3- Research Computing

Pacific Northwest National Laboratory
Tallahassee, United States of America
yesterday

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Junior
Compensation
$ 133K

Job location

Tallahassee, United States of America

Tech stack

Adobe Analytics
C
Artificial Intelligence
Systems Engineering
Computer Programming
Python
Machine Learning
Package Management Systems
Software Engineering
Software Systems
PyTorch
Large Language Models
Containerization
Information Technology
Data Management
Slurm
Machine Learning Operations

Job description

Research Computing advances scientific discovery by providing researchers computational tools to accelerate their research outcomes. We support computationally enabled science by providing researchers access to computational building blocks (e.g., HPC, Machine Learning environments, Data Management Tools etc.). We also provide services, expertise, and support to researchers to optimize their use of our capabilities (e.g., HPC & Machine Learning Consulting, and machine Learning workflow management, etc.), all while fostering a culture of computing through interdisciplinary collaboration and access to computational resources.

We are seeking an HPC Software engineer to join project teams building HPC and AI/ML solutions to support a broad variety of scientific domains.

The scope of work will be diverse and will include joining existing project teams across the research directorates, engaging and understanding their domain and project needs. Then designing, building, and implementing applications and pipelines to support their various needs.

The work will also include implementing broadly applicable operational solutions to support ranges of projects and domains. This may include pipelines, automation, containerization, and various technologies and platforms.

An element of the work will also be joining existing research efforts and developing software and algorithms to support the project research focus. Additionally, this will include helping domain scientists leverage various ML techniques.

You must understand and have experience in a mix of technologies such as, Python, C, PyTorch, and OpenMPI. Experience with HPC system engineering is required. For aspects of the work, experience and interest in Machine Learning workflows, and large language models will be an advantage. In addition, it would be advantageous to have experience in other scientific or engineering domains and mathematics.

Initially, you will join existing project teams, and as such, you will be expected to operate within specific guidelines and coding standards. As a level 3, you will be increasingly responsible for building your own opportunities within PNNL, leading other team members in developing technical solutions, and developing opportunities for other staff to follow. Additionally, you are expected to mentor others and lead tasks on projects.

Requirements

  • PhD and 1 year of Software Engineering experience -OR-
  • MS/MA and 3 years of Software Engineering experience -OR-
  • BS/BA and 5 years of Software Engineering experience -OR
  • AA and 14 years of Software Engineering experience in designing, architecting, programming, deploying, and automating software solutions in support of scientific research or consumer digital product development -OR-
  • HS/GED and 16 years of Software Engineering experience in designing, architecting, programming, deploying, and automating software solutions in support of scientific research or consumer digital product development, * Experience with HPC software builders, such as Spack.
  • Knowledge of and experience supporting Slurm.
  • Experience participating in working with scientists and engineers of various scientific domains and being able to bridge between the various domains and computer and data science.
  • Experience working with project teams, especially including domain scientists, understanding scientific realms, and applying computer science and mathematical principles in support of the scientific mission of the project.
  • Experience with building large language models to support research.

Hazardous Working Conditions/Environment

Benefits & conditions

PNNL lists the full pay range for the position in the job posting. Starting pay is calculated from the minimum of the pay range and actual placement in the range is determined based on an individual's relevant job-related skills, qualifications, and experience. This approach is applicable to all positions, with the exception of positions governed by collective bargaining agreements and certain limited-term positions which have specific pay rules.

As part of our commitment to fair compensation practices, we do not ask for or consider current or past salaries in making compensation offers at hire. Instead, our compensation offers are determined by the specific requirements of the position, prevailing market trends, applicable collective bargaining agreements, pay equity for the position type, and individual qualifications and skills relevant to the performance of the position.

Minimum Salary

USD $133,100.00/Yr.

Maximum Salary

USD $210,400.00/Yr.

About the company

At PNNL, our core capabilities are divided among major departments that we refer to as Directorates within the Lab, focused on a specific area of scientific research or other function, with its own leadership team and dedicated budget. Our directorates related to Mission Support & Operations include Office of General Counsel, Business Services, Communications and External Engagement, Operational Systems, Communications and Information Technology, and Performance Management. At PNNL, our Computing and Information Technology organization is redefining how we work and innovate by reimagining the digital workplace. We empower research and streamline operations-making both faster, smarter, and more efficient-so our professionals can tackle some of the world's toughest challenges in science, energy, and national security. Our experts in AI, cybersecurity, design, and engineering work side by side, using real-time insights and human-centered design to break down barriers. Ready to make your mark on tomorrow? Come work with us. Research Computing empowers researchers by removing technical barriers to discovery. We provide access to cutting-edge resources, including high-performance computing (HPC), GPU-accelerated compute, scientific software, research data management (featuring the PNNL Research Library), and cloud computing. Through events like TechFest, which brings staff together to showcase projects and discuss new research possibilities, we cultivate a vibrant culture of computing and drive interdisciplinary collaboration to advance computationally enabled science., Pacific Northwest National Laboratory (PNNL) is a world-class research institution powered by a highly educated, diverse workforce committed to the values of Integrity, Creativity, Collaboration, Impact, and Courage. Every year, scores of dynamic, driven people come to PNNL to work with renowned researchers on meaningful science, innovations and outcomes for the U.S. Department of Energy and other sponsors; here is your chance to be one of them! At PNNL, you will find an exciting research environment and excellent benefits including health insurance, and flexible work schedules. PNNL is located in eastern Washington State-the dry side of Washington known for its stellar outdoor recreation and affordable cost of living. The Lab's campus is only a 45-minute flight (or ~3 hour drive) from Seattle or Portland, and is serviced by the convenient PSC airport, connected to 8 major hubs., Please be aware that the Department of Energy (DOE) prohibits DOE employees and contractors from having any affiliation with the foreign government of a country DOE has identified as a "country of risk" without explicit approval by DOE and Battelle. If you are offered a position at PNNL and currently have any affiliation with the government of one of these countries, you will be required to disclose this information and recuse yourself of that affiliation or receive approval from DOE and Battelle prior to your first day of employment.

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