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Senior Software Engineer, Infrastructure – Labs
DoorDashInfrastructure Software Engineer at DoorDash Labs designing systems for autonomous delivery robots. Collaborating with teams to improve infrastructure for simulation testing and machine learning.
Posted 5/19/2026full-timeRemote • California • 🇺🇸 United StatesSenior💰 $159,800 - $235,000 per yearWebsite
Tech Stack
Tools & technologiesDockerKubernetesPythonRaySparkSQLTerraform
About the role
Key responsibilities & impact- Have significant scope and decision-making responsibility
- Design and implement infrastructure to enable autonomous vehicle development, including:
- Large-scale distributed simulation execution
- Ingest, processing, and organization of petabyte-scale datasets
- GPU-accelerated distributed computing for data preparation and training
- Design and implement robot data and metrics pipelines
- Collaborate with core autonomy teams: motion planning, perception, and simulation
Requirements
What you’ll need- A B.S., M.S., or PhD. in Computer Science, Robotics or related technical field
- In-depth knowledge of data structures and algorithms
- Strong Python programming experience
- Experience with operationalizing large-scale systems
- Experience with at least one distributed data processing framework (Ray, Spark, Flink, etc)
- Passionate about software quality and reliability
- Nice to have:
- C++
- SQL
- Kubernetes
- Docker
- Terraform
- Experience with GPU-accelerated systems
- Robotics domain experience/knowledge
Benefits
Comp & perks- 401(k) plan with employer matching
- 16 weeks of paid parental leave
- Wellness benefits
- Commuter benefits match
- Paid time off and paid sick leave in compliance with applicable laws
- Medical, dental, and vision benefits
- 11 paid holidays
- Disability and basic life insurance
- Family-forming assistance
- Mental health program
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonC++SQLdata structuresalgorithmsdistributed data processingGPU-accelerated computinglarge-scale systemsrobot data pipelinesmetrics pipelines
Soft Skills
decision-makingcollaborationpassion for software qualityreliability