At DoorDash, the interview process starts with a meticulous resume screening, followed by an Online Assessment (OA) which tests coding skills and problem-solving abilities. Candidates who perform well are then invited to one or two phone screens which focus on technical aptitude and cultural fit.
The onsite interview rounds are typically three to four in number, involving a mix of coding exercises, system design challenges, and behavioral questions. These sessions tend to have a high level of difficulty, designed to assess not just technical prowess but also ability to adapt and innovate in fast-paced environments.
At DoorDash, the initial screening begins with a careful review of resumes, focusing on relevant experience and technical skills. This step determines who will be invited to complete an Online Assessment (OA).
Candidates who pass the OA may then advance to a preliminary screening call. This conversation, typically 30-45 minutes, assesses fit and motivation, further screening candidates before the technical interviews.
At DoorDash, the interview process typically begins with one or two phone screens. These initial calls are crucial as they focus on basic technical skills and problem-solving abilities. Each phone screen usually lasts about 45 minutes.
During these interviews, candidates are expected to solve programming problems and may also be tested on system design principles, depending on the position. Be prepared to code in real-time and explain your thought process as you work through each problem.
During the onsite rounds at DoorDash, candidates generally face four to six interviews, covering coding, system design, and behavioral aspects. These sessions assess technical skills as well as cultural fit, emphasizing problem-solving and teamwork.
Coding interviews focus on algorithms and data structures, system design interviews deal with scalability and architecture, and behavioral interviews explore past experiences and alignment with DoorDash’s values. The process is rigorous but clearly structured to evaluate both skills and potential cultural contribution.
After completing the interview rounds at Doordash, candidates may undergo team matching and meetings with executives. This phase often includes offer negotiations before finalizing employment details.
At DoorDash, it’s advisable to sharpen your skills in Depth-First Search and Breadth-First Search, which stand out as particularly prominent problem patterns. The company also shows a strong inclination towards Basic DSA and Advanced Data Structures. While you refine these areas, bear in mind that problems related to Advanced Data Structures appear less frequently, but their occasional presence could offer a unique challenge. Understanding these nuances in problem distribution can strategically prepare you for what to expect and demonstrate your adaptability and problem-solving acumen during the interview.
At DoorDash, the coding interviews generally pose a moderate challenge, akin to what you might expect at larger FAANG companies. Expect problems to require much more thought and intricacy than basic data structures and implementation problems. Similar to top tier tech companies, DoorDash interview questions are found to be medium-hard most of the time.
Describe a time when you had to adapt to a significant change in a project. How did you handle it?
Tell me about a challenging technical problem you solved.
Can you give an example of how you have contributed to improving the efficiency of a process or system?
Describe a time when you had to collaborate with a cross-functional team to implement a solution that improved operational efficiency.
Tell me about a challenging project where you worked under a tight deadline.
Can you share an experience where you had to adapt to a significant change in a project, similar to how DoorDash might pivot in response to new market conditions or user data?
Tell me about a time when you had to quickly adapt to a significant change in a technology project. How did you handle the transition?
Describe a project where you played a key role in optimizing or redesigning a system to improve its performance and efficiency.
How would you approach improving the delivery dispatch algorithm to minimize delivery times using your software engineering skills at DoorDash?