AI Software Engineer - Richland

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.

National Interest Project Examples:

• Support detection and prevention of drugs and contraband at ports of entry through development and deployment of ML algorithms [Link]
• Develop large data pipelines to thwart funding for terrorists, nuclear proliferators, drug cartels, and rogue leaders [Link]
• Applying big data solutions to national security problems [Link]
• Applying image classification for nuclear forensics analysis [Link]
• Detect and respond to advanced cyber threats with at-edge computing [Link]
• Develop capabilities for scalable geospatial analytics [Link]
• Use remotely sensed imagery to identify and monitor the progression of wildfires [Link]
• Analyze the resiliency of the electric power grid to prevent large-scale outages [Link]
• Optimize building efficiency using IOT and ICS data with automated demand-response markets [Link]
• Model climate change and impacts to national security [Link]
• PNNL engineered a high-resolution radar imaging technology as a way to rapidly scan for potential threats [Link]

Core Technologies:

• Programming & Scripting – Python, C#/.Net, Bash, Powershell, java script, typescript, [Java, C/C++]
• Platforms – AWS, Azure, On-Prem, [IoT/ICS, GCP]
• Development/Lifecycle – Agile/Scrum/Kanban/others, Gitlab/Atlassian, CI/CD & Dev Sec Ops
• Paradigms – Rapid prototypes with ad-hoc CSP managed services, well-architected solutions using Infrastructure as Code, compliant deployments in highly-regulated environments
• Data & Storage – S3, Athena, Postgre
  
  SQL, Elasticsearch/Open Search, Dynamo, Redshift, MongoDB

Supplemental Technologies:

• Model serving tools (Sagemaker endpoints, Nvidia Triton Server, torchserve, kubeflow)
• Big data and distributed systems (Spark, Databricks, Athena)
• Analytics focused services in AWS or Azure (Redshift, Elasticsearch, Kafka, Sagemaker, EMR)

Data Complexities:

• Volume – large, terabytes and petabytes of data
• Variety – Images, audio, text, IoT, RF, GPS, edge sensors
• Velocity – Sub-second and lower frequency

How We Work:

Mission-Critical Development:

• Design, develop, test, and deploy software applications that directly contribute to the nation’s mission objectives.
• Collaborate with Government and Industry partners to understand mission needs, requirements, and translate them into robust and scalable software solutions.

Innovative Problem Solving:

• Tackle complex technical challenges with creativity and innovation.
• Propose and implement solutions that go beyond conventional approaches, ensuring the software we deliver is both efficient and impactful.

End-to-End Ownership:

• Take ownership of the entire software development lifecycle, from initial concept to deployment.
• Ensure the reliability, security, and performance of mission-critical software systems.

Collaborative Teamwork:

• Work in an agile environment with multidisciplinary teams, including software engineers, cloud engineers, machine learning engineers, data scientists/domain experts, UX/UI, front-end developers, scrums masters, product owners, and most importantly, USERS.
• Participate in code reviews and knowledge-sharing sessions to enhance the overall team skill set.

Continuous Learning:

• Stay up-to-date with industry trends and emerging technologies to bring innovative ideas to the table.
• Actively participate in training and development opportunities to enhance your skills and contribute to the team's growth.
• Have opportunities to attend conferences and engage in industry events.

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.

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…