PNNL is seeking to advance groundbreaking technologies that support national security initiatives by developing revolutionary capabilities for processing multi-modal intelligence data with unprecedented speed and scale.
Requirements
- Fluency in Python, with proficiency in C-Sharp/.Net, Go, JavaScript/TypeScript, [Java, C/C++, Rust]
- AWS/Azure architecture, Kubernetes orchestration, Infrastructure as Code, [GCP, Multi-cloud, Edge computing]
- S3, Elasticsearch/OpenSearch, PostgreSQL, MongoDB, Redshift, Delta Lake, Vector stores
- Agentic AI systems, LLMs, model deployment & orchestration, MLOps platforms, distributed training, model serving at scale, vector databases, graph analytics
- Data fusion, GEOINT processing, signals analysis, threat correlation
- Spark/Databricks, Kafka/streaming, data lake/mesh architectures, real-time analytics, distributed computing
- Agile/SAFe methodologies, GitLab Enterprise, advanced CI/CD, security-first DevOps
Responsibilities
- Architect and lead the development of mission-critical AI systems
- Design systems at scale in support of mission objectives
- Drive technical strategy for some of the nation's most sophisticated intelligence and security applications
- Take ownership from concept to deployment
- Translate cutting-edge research into production-ready systems deployed in highly secure environments
- Develop scalable microservices architectures that coordinate across multiple domains
- Build robust API gateways for classified environments
Other
- Mid-career Software Engineer
- Mentor and develop staff
- Collaborate with research scientists and domain experts
- Maintain the entrepreneurial mindset that turns breakthrough research into operational reality
- This position is based in Seattle, WA and requires an onsite presence Monday through Thursday, with Friday as required by business needs.
