Overview
Protecting U.S. residents and visitors is among our nation’s highest priorities. As adversaries gain access to sophisticated technologies and materials, the threats grow more dynamic and complex—from cyber and nuclear to chemical and biological weapons of mass effect and other forms of terrorism. The PNNL national security mission employs our researchers, tools, and technologies to play a key role in advancing the ability to identify and secure nuclear materials, detect weapons of mass effect, manage nonproliferation treaties, secure our nation's borders, and protect critical infrastructures. PNNL’s scientific discovery and capabilities—rooted in innovative theory, methods, algorithms, and tools—are enabling stronger, more resilient technologies and systems to safeguard national security. Coupled with decades of radiological and nuclear materials expertise, advanced computing and threat analysis capabilities, and a broad fundamental science base, we are identifying and countering emerging threats that have significant impact at home and around the globe.
Do you want a career that you can look back on and say to yourself ‘I did something that mattered’? Are you tired of supporting efforts that drive corporate profits? If you answered yes, come to PNNL. As a member of PNNL’s Software Engineering and Architectures (SEA) team you will play a crucial role in developing cutting edge software, scalable data architecture & pipelines, and AI/ML solutions in support of some of the nation’s biggest and most complex challenges.
Responsibilities
- Identify mission challenges and formulate engineering solutions methodically
- Embrace software engineering excellence and delivering quality results at scale
- Employ expertise with a high-level programming language such as Python
- Apply good design and innovative problem-solving skills to solve challenging technical problems
- Stay current about data management and database technology developments
- Initiate personal direction and goals
- Possess interest and/or experience mentoring junior scientists and engineers
- Demonstrate outstanding verbal and written communication skills and the ability to work in a collaborative environment
- Be passionate and self-motivated with good time management skills
Qualifications
Minimum Qualifications:
- BS/BA and 5+ years of relevant work experience -OR-
- MS/MA and 3+ years of relevant work experience -OR-
- PhD with 1+ year of relevant experience
Preferred Qualifications:
- Degree in computer science, software engineering, or related field
- 5+ years of experience in designing or deploying large-scale and high-performance ETL pipelines and analytics
- 5+ years Python or other software development experience
- Strong understanding of software engineering and data management best practices
- Strong cloud architecture and implementation experience
- Cloud and database certifications are a plus
- Familiar with machine learning algorithms with hands-on experience in machine learning pipeline development is a plus
- Active Federal Q Clearance and ability to maintain such clearance
If this sounds like you, come and join a team of 90+ mission driven software and data engineers who come to work every day to do something that makes a difference.
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