Senior Software Engineer, Infrastructure - Labs
DoorDash · Remote (United States) · 311 Autonomy
About this role
DoorDash is hiring a senior-level Infrastructure Engineer in the software engineering function as a remote position. The posting calls out experience with Python, SQL, Kubernetes, Docker. Compensation is listed at $159,800–$235,000 per year.
- Role
- Infrastructure Engineer
- Function
- software engineering
- Level
- senior
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Remote (United States)
- Work mode
- Remote
- Department
- 311 Autonomy
More roles at DoorDash
Job description
from DoorDash careers
About the Team
DoorDash Labs is an independent team within DoorDash. We are working on building autonomous delivery robots from the ground-up as part of DoorDash's core delivery platform. If you have a passion for applying robotics solutions in a service used by millions of people, then we want to talk to you!
About the Role
We’re hiring an Infrastructure Software Engineer. In this role, you’ll work with multiple stakeholders, including Autonomy Engineering and Operations, to develop and improve our infrastructure. The Infrastructure team designs, builds, and operates the infrastructure that enables large-scale simulation testing, continuous integration, and machine learning.
You’re excited about the role because you will…
- 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
We’re excited about you because you have…
- 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)