Software Engineer (Data Platform)

Join Hadrian, a company focused on revolutionizing manufacturing through advanced AI and data infrastructure. As a Software Engineer on the data platform engineering team, you will be responsible for building the AI and data infrastructure that powers autonomous factories. You will work cross-functionally with production experts, operations research scientists, software engineers, and machining specialists to develop novel solutions. The role offers a competitive benefits package, including 100% coverage of platinum medical, dental, vision, and life insurance plans, a 401k, a relocation stipend, and a flexible vacation policy.

• Architect, implement, and deploy critical AI and data infrastructure applications that drive revenue and make a positive impact.
• Build and manage RAG pipelines and vector search systems that enable intelligent retrieval of manufacturing knowledge across Hadrian's data estate.
• Design and manage MLOps infrastructure — training pipelines, model deployment, monitoring, and orchestration — to ensure reliable operation of ML and operations research models.
• Are excited to work in a fast-paced environment with high-stakes and quick iteration cycles
• Experience building AI infrastructure in production: RAG pipelines, vector databases (such as Pinecone, Weaviate, Chroma, or equivalent), embedding systems, or semantic search
• Solid understanding in building data architecture and pipelines
• Have a Bachelor's degree in Computer Science and/or equivalent experience
• Have extensive experience shipping modern, data-centric applications (our data systems use Argo-Workflows, Dagster, Superset, Aurora, RDS, S3, and back-ends are Go and Python, with gRPC/Avro and Kafka as our messaging platform)
• Have experience with IaC and GitOps tooling (We use Terraform extensively and have centralized on Kubernetes/Argo/Helm)
• Are a highly effective communicator when speaking or writing, especially when presenting technical information
• Feel passionate about making things move in the real world with software
• Extremely well versed with data querying techniques across NoSQL and SQL platforms
• Take responsibility and ownership finding solutions no matter what
• Hands-on MLOps experience: owning the full lifecycle of ML models from training through deployment and monitoring (SageMaker, Ray, MLflow, or equivalent)
• Work with a platform mentality -- driven to find the right architecture and plan up front and solve problems with the long term in mind
• Deploy your broad experience and big picture view to fix undreamed of problems with innovative solutions
• Are self-motivated and eager to get hands-on and tackle challenges independently while working collaboratively toward identified objectives