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职位DoorDash

Operations Specialist, Autonomy Tech Support, Labs

DoorDash

Operations Specialist, Autonomy Tech Support, Labs

DoorDash

Tempe, AZ

·

On-site

·

Full-time

·

2d ago

! !

About the Team

Door Dash Labs is a team within Door Dash building autonomous delivery robots and other autonomy solutions from the ground up for Door Dash's core delivery platform. If you have a passion for applying robotics solutions to a service loved by millions of people, then we want to talk to you!

About the Role

As an Operations Specialist in Autonomy Tech Support at Door Dash Labs, you will ensure the successful daily operations of the robot fleet and guide communication between Operations and Engineering teams to track and resolve field operations issues. You will report into the Operations Manager, Autonomy Tech Support and you will be 100% in-office and will require early and late shifts and shifts including weekends.

You’re excited about this opportunity because you will…

  • Be a primary contact for escalated software and hardware issues encountered during autonomy operations and testing
  • Perform initial debugging and troubleshooting to capture important details to identify issue and implement resolution and mitigation steps
  • Document new symptoms or failure modes that emerge in the field and work with engineering to determine appropriate mitigation steps
  • Use trend analysis to report and triage anomalies, bugs and faults with necessary information to facilitate accurate Engineering investigation and resolution
  • Create resolution steps documentation and maintain knowledge base

We’re excited about you because…

  • Comfortable with Linux command line, GitHub, Jira, and Service software
  • Experience debugging and troubleshooting complex technical problems
  • Prior experience with autonomous vehicles and/or robotics
  • Willing to work flexible hours including weekends
  • You are genuinely curious about how things work (or why they don’t)

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only

We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.

The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey

About Door Dash

At Door Dash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods.

Door Dash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.

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. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.

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. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at Door Dash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination.

Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.

If you need any accommodations, please inform your recruiting contact upon initial connection.

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关于DoorDash

DoorDash

DoorDash

Public

A food delivery platform that connects customers with local and national businesses.

10,001+

员工数

San Francisco

总部位置

$56B

企业估值

评价

3.3

25条评价

工作生活平衡

3.2

薪酬

3.1

企业文化

2.8

职业发展

2.5

管理层

2.3

45%

推荐给朋友

优点

Flexible scheduling/hours

Good pay/earnings potential

Work at own pace

缺点

Too many dashers/oversaturation

Management issues

Inconsistent earnings/pay

薪资范围

16个数据点

Mid/L4

Mid/L4 · Analytics Engineer

2份报告

$203,128

年薪总额

基本工资

$156,252

股票

-

奖金

-

$179,660

$226,795

面试经验

2次面试

难度

3.0

/ 5

时长

14-28周

面试流程

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

常见问题

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Data Analysis