DoorDash
Software Engineer, Infrastructure - Autonomy & Robotics
DoorDash, San Francisco, California, United States, 94199
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 Product, 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) Passionate about software quality and reliability Nice to have:
C++ SQL Kubernetes Docker Terraform Experience with GPU-accelerated systems Robotics domain experience/knowledge
Compensation
The successful candidate's starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee’s work location. In addition to base salary, the compensation for this role includes opportunities for equity grants. DoorDash cares about you and your overall well-being. That’s why we offer a comprehensive benefits package for all regular employees that includes a 401(k) plan with an employer match, paid time off, paid parental leave, wellness benefits, and several paid holidays. Our Commitment to Diversity and Inclusion
We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status.
#J-18808-Ljbffr
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 Product, 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) Passionate about software quality and reliability Nice to have:
C++ SQL Kubernetes Docker Terraform Experience with GPU-accelerated systems Robotics domain experience/knowledge
Compensation
The successful candidate's starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee’s work location. In addition to base salary, the compensation for this role includes opportunities for equity grants. DoorDash cares about you and your overall well-being. That’s why we offer a comprehensive benefits package for all regular employees that includes a 401(k) plan with an employer match, paid time off, paid parental leave, wellness benefits, and several paid holidays. Our Commitment to Diversity and Inclusion
We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status.
#J-18808-Ljbffr