1 year ago
San Francisco, CA, USA or New York, NY, USAMid Level
H1B sponsor
Base Salary
$180k - $240k/yr
Responsibilities
- Architect and deploy massive-scale production workloads on Modal for AI companies and foundation labs.
- Lead technical discovery and architecture sessions with prospective and existing customers.
- Design migration paths from AWS, GCP, or Azure infrastructure to Modal's serverless platform.
- Collaborate with product and sales teams as an engineer and product stakeholder.
- Build relationships with CTOs, VPs of Engineering, and ML leads.
- Conduct technical demos, experiments, and proofs of concept.
Requirements
- At least 3 years of professional software engineering experience.
- Hands-on experience with AWS, GCP, or Azure, including compute, storage, networking, and container orchestration.
- Familiarity with distributed systems architecture, data pipelines, and infrastructure-as-code tools such as Terraform, Pulumi, or CloudFormation.
- Strong communication skills and the ability to explain systems architecture and tradeoffs to infrastructure teams and technical leadership.
- Genuine interest in working directly with customers.
- Experience leading large-scale migrations, contributing to open source, or developing notable side projects is a bonus.
- Willingness to work in person in New York City, San Francisco, or Stockholm.
Benefits
- In-person work in New York City, San Francisco, or Stockholm.
Tech Stack
Categories
Forward Deployed
About Modal
Modal builds a serverless compute platform for AI and data workloads, offering instant GPU access, sub-second container starts, and native storage to run inference, fine-tuning, and batch jobs. It sells a usage-based cloud service to developers and ML teams to deploy generative models and pipelines. Privately held and headquartered in New York City, its customers include companies like DoorDash and Ramp.