GenAI Platform Engineer: Open-Weights Serving & Fine-Tuning

DoorDash; Sunnyvale (CA); On-site; USD 137,100 - 201,600; Full time

Benefits offered by this job

401(k) plan with employer matching

Paid parental leave

Comprehensive benefits package

Job summary

DoorDash is looking for an engineer to join their GenAI Platform team, focusing on production infrastructure for Generative AI. The role entails building systems for real‑time GPU serving and fine‑tuning, aiming to enhance business impact from AI.

The ideal candidate has strong backend skills, experience with LLM inference, and a proven track record in scalable, high-performance systems development. A degree in Computer Science or equivalent is required.

Qualifications

• 3+ years of industry experience in software engineering.
• Experience with LLM inference and/or fine‑tuning of open‑weight models in production.
• Strong backend engineering fundamentals, especially in Python and distributed systems.

Responsibilities

• Build the infrastructure for Generative AI at DoorDash.
• Design scalable, high‑performance systems for model serving.
• Partner closely with ML engineers, product engineers, and data scientists.

Skills

Backend engineering fundamentals

Python

Distributed systems

Production services

Data pipelines

LLM inference

Education

B.S., M.S., or Ph.D. in Computer Science or equivalent

Tools

Kubernetes

AWS/GCP

Job description

DoorDash is looking for an engineer to join their GenAI Platform team, focusing on production infrastructure for Generative AI. The role entails building systems for real‑time GPU serving and fine‑tuning, aiming to enhance business impact from AI.

The ideal candidate has strong backend skills, experience with LLM inference, and a proven track record in scalable, high-performance systems development. A degree in Computer Science or equivalent is required.