Lead Software Engineer - Seattle

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.

Are you someone who is interested in operationalizing AI in support of National Security Missions? At PNNL, we help bring analytical tools and predictive models into deployed national security systems.

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 / C#
• Apply good design and innovative problem-solving skills to solve challenging technical problems
• Initiate personal direction and goals
• 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
• Desire to mentor and grow junior staff

Qualifications

Minimum Qualifications:

• BS/BA and 7 years of relevant experience -OR-
• MS/MA or higher and 5 years of relevant experience -OR-
• PhD and 3 years of relevant experience -OR-
• AA and 16 years of relevant experience -OR-
• HS/GED and 18 years of relevant experience
• Qualifying software development experience in designing, architecting, programming, deploying, and automating software solutions in support of scientific research or consumer digital product development may be counted

Preferred Qualifications:

• Degree in computer science, software engineering, or related field
• Strong understanding of software engineering and data management best practices
• Strong cloud architecture and implementation experience
• Experience transitioning research code (such as pytorch and tensorflow) to a deployed system
• Familiar with machine learning algorithms with hands-on experience in machine learning pipeline development
• 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, data, and ML engineers who come to work every day to do something that makes a difference.