Senior Software Engineer, Machine Learning Infrastructure, Generative AI

DoorDash, Inc

Quick summary

Work type
On-site
Location
San Francisco, CASunnyvale, CASeattle, WA
Salary
$137,100–$201,600 / yr
Posted
today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $209k
This role $169k
$122k most similar roles pay here $277k

This role pays less than 77% of similar roles. Most pay $172,123–$245,287 — the shaded band above. At the midpoint, this role pays about $169k versus about $209k for comparable roles.

Based on 240 similar postings.

Employer

About DoorDash, Inc

DoorDash, Inc. is an American company operating online food ordering and food delivery. It trades under the symbol DASH. With a 56% market share, DoorDash is the largest food delivery platform in the United States.

DoorDash, Inc currently has 238 open roles on FindRole.

Listed pay typically runs $130,600–$192,000 across 147 roles with salary data.

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View all roles at DoorDash, Inc

At a glance

TL;DR · Senior Software Engineer, Machine Learning Infrastructure, Generative AI

As a Senior Software Engineer on DoorDash’s GenAI Platform team, you will lead the design and architecture of production infrastructure for Generative AI, focusing on real-time GPU serving, high-throughput batch inference, and fine-tuning of open-weight models. Your daily tasks include setting technical direction across model serving and inference engines, training pipelines, GPU autoscaling, and observability, while also mentoring engineers. Ideal candidates have deep backend engineering experience in Python and distributed systems, with a track record of designing production services at scale. You should be hands-on with LLM inference and fine-tuning in production and possess strong technical leadership skills to mentor and guide teams effectively. The role involves working closely with ML engineers, product teams, and platform groups across DoorDash, Wolt, and Deliveroo to integrate emerging GenAI capabilities into robust platforms, pushing the boundaries of cost and performance optimization in a fast-evolving technical landscape.

What you'll do

  • Lead design of infrastructure for moving Generative AI ideas from prototype to production.
  • Own and evolve open-weights serving stack including real-time GPU endpoints and batch inference.
  • Architect scalable systems for model serving, batch inference, GPU autoscaling, and fine-tuning.
  • Push cost/performance frontier in GPU inference by optimizing latency and cutting costs significantly.
  • Build platforms supporting rapid experimentation while meeting production standards for monitoring and SLOs.
  • Set technical direction for DoorDash’s centralized GenAI platform including reinforcement learning techniques.

What we're looking for

  • 6+ years of industry experience in software engineering
  • Deep expertise in backend engineering with Python and distributed systems
  • Proven track record of designing and owning large-scale production services and APIs
  • Hands-on experience with LLM inference and fine-tuning in production environments
  • Demonstrated technical leadership in ambiguous, fast-moving technical areas
  • Experience operating complex systems in production, including observability and performance optimization
  • Mentoring engineers and transforming customer use cases into platform capabilities

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