Software Engineer - Data Platform

About the role

The Role

What You'll Do

• Scope, architect, implement, and deploy critical AI and data infrastructure applications that will drive revenue and make a positive impact in the world.
• Build and own 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 — so that ML and operations research models run reliably in production.
• Create and contribute to data frameworks that span on-premises and cloud infrastructure, improving the efficacy of logging machine data, while working with data infrastructure to triage issues and resolve.
• Solve our most challenging machine data and AI integration problems, utilizing optimal ETL patterns, frameworks, query techniques, and retrieval architectures sourcing from structured and unstructured data sources.
• Collaborate with machine engineers, operations research scientists, product managers, and data scientists to understand data and AI needs, translating complex systems into tools people actually use.
• Get to build alongside an incredible team of software engineers, mechanical engineers, operators, and the best machinists/CAM programmers in the world.

What We're Looking For

• 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).
• Experience building AI infrastructure in production: RAG pipelines, vector databases (such as Pinecone, Weaviate, Chroma, or equivalent), embedding systems, or semantic search.
• Hands-on MLOps experience: owning the full lifecycle of ML models from training through deployment and monitoring (SageMaker, Ray, MLflow, or equivalent).
• Extremely well versed with data querying techniques across NoSQL and SQL platforms.
• Have a Bachelor's degree in Computer Science and/or equivalent experience.
• Have a solid understanding in building data architecture and pipelines.
• Be self-motivated and eager to get hands-on and tackle challenges independently while working collaboratively toward identified objectives.
• Deploy your broad experience and big picture view to fix undreamed of problems with innovative solutions.
• Feel passionate about making things move in the real world with software.
• Be excited to work in a fast-paced environment with high-stakes and quick iteration cycles.
• Be a highly effective communicator when speaking or writing, especially when presenting technical information.

Pay

Compensation

For this role, the target salary range is $120,000 - $200,000 (actual range may vary based on experience). This is the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the range may be modified in the future. An employee's pay position within the salary range will be based on several factors, including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs.

Benefits

Benefits

• Medical, dental, vision, and life insurance plans for employees
• 401k
• Relocation support may be provided for certain situations, based on business need
• Flexible vacation policy
• Equity

ITAR Requirements

ITAR Requirements

• To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.
• Learn more about the ITAR here.

Equal Opportunity Employer

Equal Opportunity Employer

Hadrian Is An Equal Opportunity Employer

The Company does not unlawfully discriminate on the basis of race inclusive of traits historically associated with race (including, but not limited to, hair texture and protective hairstyles, such as braids, locks and twists), color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, transgender status, national origin (including, in California, possession of a drivers license), ancestry, citizenship, age, physical or mental disability, height or weight, medical condition, family care status, military or veteran status, marital status, domestic partner status, sexual orientation, genetic information, exercise of reproductive rights, any other basis protected by local, state, or federal laws, or any combination of the above characteristics.