Software Engineer - Data Platform

Job Description

Job Description

Hadrian is building autonomous factories that help aerospace and defense companies manufacture rockets, satellites, jets, and ships up to 10x faster and up to 2x cheaper. By combining advanced software, robotics, and full-stack manufacturing, we are reinventing how America produces its most critical parts.

We’re accelerating our mission with the launch of Factory 3 in Mesa, Arizona, a 290,000-square-foot facility creating 350 new jobs. We are expanding rapidly to support thousands of future hires, launching Hadrian Maritime to expand into naval production, and introducing a Factory-as-a-Service model that delivers complete systems instead of individual parts.

Hadrian is backed by leading investors including T. Rowe Price, Lux Capital, Founders Fund, and Andreessen Horowitz, our fast-growing team is united around reindustrializing American manufacturing for the 21st century and beyond.

The Role

As a foundational software engineer on our data platform engineering team, you will lead the charge on building the AI and data infrastructure that powers Hadrian's autonomous factories. This means writing software to aggregate, store, and make sense of data — and building the intelligent systems that sit on top of it.

Examples of possible work include building RAG pipelines and vector search systems that give our AI models access to the right manufacturing knowledge at the right time, developing MLOps infrastructure to deploy and monitor production models, building software agents to get data off of machines, and creating certified datasets that enable operations research, machine intelligence, and business analytics at scale.

You will be challenged to think creatively and solve complex data and AI integration problems. You will work cross functionally with production experts, operations research scientists, software engineers, and machining specialists to develop novel solutions working toward fully automated factories.

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.

• Build and manage a robust data warehouse and write software to coordinate and deploy data pipelines.

• Conceptualize and own the data architecture for multiple large-scale projects.

• 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

• 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).

• 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).

• Have experience with IaC and GitOps tooling (We use Terraform extensively and have centralized on Kubernetes/Argo/Helm).

• Extremely well versed with data querying techniques across NoSQL and SQL platforms.

• Have a Bachelor's degree in Computer Science and/or equivalent experience.

• Solid understanding in building data architecture and pipelines.

• Are self-motivated and eager to get hands-on and tackle challenges independently while working collaboratively toward identified objectives.

• Work with a platform mentality -- driven to find the right architecture and plan up front and solve problems with the long term in mind.

• Take responsibility and ownership finding solutions no matter what.

• 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.

• Are excited to work in a fast-paced environment with high-stakes and quick iteration cycles.

• Are a highly effective communicator when speaking or writing, especially when presenting technical information.

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.

• 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

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.

Hadrian uses AI-assisted tools in our recruiting and hiring processes to help our team work more efficiently. This may include tools that help organize and analyze recruiting data, as well as an AI-powered notetaker that can record and transcribe interviews and help coordinate feedback. These tools support our team and are not used to make hiring decisions. All candidate evaluations and hiring decisions are performed by humans. If an interview will be recorded, you will be notified in advance and may opt out at any time with no impact on your candidacy. Candidate data processed through these tools is subject to the same protections described in our Privacy Policy.

It is the Company’s policy to provide equal employment opportunity for all applicants and employees. 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. When necessary, the Company also makes reasonable accommodations for disabled candidates and employees, including for candidates or employees who are disabled by pregnancy, childbirth, or related medical conditions.