Founding Engineer - MLOps

about 1 month ago
Full time role
Hybrid · Remote · San Francisco, CA, US... more

About Us

Adapt is solving one of the biggest challenges with current AI systems - latency. We are building the infra for real-time AI for applications in gaming, AR/VR, robotics, and more.

Adapt is led by an experienced team of researchers and engineers with collective experience from MIT, Google, and Microsoft. Our team is based in San Francisco and values empathy, deep technical knowledge, and autonomy. 

Janak earned his bachelor's and master's degrees from MIT and built grid-scale AI algorithms and infra at Autogrid (acq. Schneider). Sahil is a published researcher who led AI infra efforts at Google and Microsoft.

Role Description

As a Founding Engineer, you will play a pivotal role in shaping the company's technical direction.

You will get to build and scale our GPU infrastructure for real-time AI performance, engage directly with our customers, and contribute heavily to the architectural roadmap. Your technical leadership will be instrumental in supporting and growing our engineering and product teams.

This role requires a proactive individual comfortable working in a fast-paced environment with frequently shifting priorities.

Benefits

  • Competitive salary + Equity

  • Health, dental, and vision insurance.

  • Bonuses based on performance

  • We are a company founded by immigrants, and we are committed to providing support to immigrant workers throughout their journey.

Requirements

  • 2+ years of experience contributing to the architecture and design of resilient, large scale distributed systems

  • Strong understanding of public cloud features (e.g. SDN, block storage, distributed file systems, identity management)

  • Strong understanding of IaC technologies like Docker, Kubernetes, Nomad, Terraform and Firecracker

  • Strong understanding of standard Observability tools such as Grafana, Prometheus etc.

Nice-to-haves

  • Prior experience working on GPUs / CUDA

  • Experiences in end-to-end ML application development, including data engineering, model tuning, and model serving

  • Enjoy moving fast and making a large business impact