Software Engineer, Research Infrastructure
Build and scale reliable research infrastructure and distributed systems for evolving AI research workflows. The role independently leads complex technical projects, makes foundational architectural decisions, and partners with researchers and engineering teams.
About the job
Responsibilities
- Design, build, and scale infrastructure and systems supporting rapidly increasing usage and evolving workloads.
- Independently scope and lead complex, ambiguous, multi-month engineering projects from initial concept through production.
- Drive cross-organizational alignment on technical direction across multiple stakeholders and teams.
- Make architectural decisions shaping research infrastructure and tooling.
- Partner with researchers to understand workflows and anticipate changing requirements.
- Iterate quickly using pragmatic, first-principles solutions and fast feedback loops.
- Own reliability and scalability as system load, usage, and complexity increase.
- Establish technical standards and best practices; mentor engineers.
Requirements
- Experience designing, building, and operating large-scale distributed systems or production infrastructure.
- Track record of independently scoping and delivering complex, ambiguous, multi-month technical projects.
- Strong software engineering fundamentals and hands-on coding ability.
- Experience making architectural decisions adopted by other engineers and teams.
- Strong written and verbal communication skills, including cross-team alignment.
- Ability to work effectively in ambiguous, fast-changing environments.
- Bachelor's degree or equivalent combination of education, training, and experience in a relevant field.
Nice-to-haves
- Infrastructure or platform experience supporting research or machine learning workflows.
- Experience addressing reliability and architectural challenges in rapidly scaling systems.
- Experience with distributed systems, cloud infrastructure, and infrastructure-as-code.
- Familiarity with compute, tooling, and workflow needs of large-scale machine learning research.
- Experience in a startup or startup-like environment.
- Experience as a technical lead or mentor.
Compensation
- Annual salary: $405,000–$625,000 USD.
Skills
Distributed Systems, Cloud Infrastructure, Infrastructure-As-Code, Machine Learning, Research Infrastructure, Scalability, Reliability Engineering, Software Architecture, Production Systems, System Design, Software Engineering, Technical Leadership
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