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

DoorDash

San Francisco (CA)

On-site

USD 137,100 - 201,600

Full time

14 days+

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Benefits offered by this job

401(k) plan with employer matching
16 weeks of paid parental leave
Wellness benefits
Paid time off and sick leave

Job summary

DoorDash is looking for a talented engineer to join its GenAI Platform team in San Francisco. This role focuses on developing production infrastructure for Generative AI, including real-time GPU serving and batch inference. Ideal candidates will have a strong background in Python and distributed systems and experience with LLM inference.

The position offers competitive compensation, including a salary range of $137,100–$201,600, along with comprehensive benefits such as a 401(k) plan, paid parental leave, and wellness programs.

Qualifications

  • 3+ years of industry experience in software engineering.
  • Strong backend engineering fundamentals, especially in Python.
  • Experience building production services and APIs.

Responsibilities

  • Build the infrastructure for Generative AI related products.
  • Work on real-time GPU serving and batch inference.
  • Design scalable systems for model serving and fine-tuning.

Skills

Python
Distributed systems
LLM inference
Backend engineering

Education

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

Tools

Kubernetes
AWS/GCP

Job description

DoorDash is looking for a talented engineer to join its GenAI Platform team in San Francisco. This role focuses on developing production infrastructure for Generative AI, including real-time GPU serving and batch inference. Ideal candidates will have a strong background in Python and distributed systems and experience with LLM inference.

The position offers competitive compensation, including a salary range of $137,100–$201,600, along with comprehensive benefits such as a 401(k) plan, paid parental leave, and wellness programs.

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