Forward Deployed Engineer - Systems
Modal Labs · New York · San Francisco
CHECKED 14H AGO
Infrastructureonsite$180k–$240k
At a glance
Highlights
- Partner with leading AI companies to architect massive-scale production workloads.
- Help build the new infrastructure layer powering low-latency inference at scale.
- Work at the intersection of deep infrastructure and direct customer impact.
What they offer
- Equity
Ideal candidate
Curious, customer-energized engineer who loves deep infrastructure problems and translating complex tradeoffs for technical leaders. You thrive partnering directly with frontier AI teams to solve hard, real-world challenges.
Requirements
- 3+ years of professional software engineering experience
- Hands-on experience with cloud platforms (AWS, GCP, Azure) including compute, storage, networking and container orchestration (Docker, Kubernetes)
- Familiarity with distributed systems architecture, data pipelines and Infrastructure as Code (Terraform, Pulumi, CloudFormation)
- Strong communicator able to go deep on systems architecture and articulate tradeoffs to technical leadership
- Genuine interest in working directly with customers to understand and solve their problems
Lab profile
About Modal Labs
Serverless cloud infrastructure for AI workloads with instant GPU compute.
What they build
- Serverless GPU cloud platform
- Python SDK
- Cloud sandboxes
Known for
- Systems engineering at scale
- ML performance optimization
- Developer-first experience