DoorDash is looking to solve the problem of building autonomous delivery robots from the ground-up as part of its core delivery platform, and is hiring an Infrastructure Software Engineer to develop and improve the infrastructure that enables large scale simulation testing, continuous integration, and machine learning.
Requirements
- 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
- C++
- SQL
Responsibilities
- Design and implement infrastructure to enable autonomous vehicle development, including large-scale distributed simulation execution, ingest, processing, and organization of petabyte-scale datasets, and 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
- Have significant scope and decision-making responsibility
- Operationalize large-scale systems
- Develop and improve infrastructure for continuous integration and machine learning
- Work with multiple stakeholders including Product, Engineering, and Operations
Other
- A B.S., M.S., or PhD. in Computer Science, Robotics or related technical field
- 16 weeks of paid parental leave
- Wellness benefits, commuter benefits match, paid time off and paid sick leave
- 401(k) plan with employer matching
- Medical, dental, and vision benefits
- Flexible paid time off/vacation
