Embedded Software Engineer - LabsDoordashusa • San Francisco, California, United States
Embedded Software Engineer - Labs
Doordashusa
- San Francisco, California, United States
- San Francisco, California, United States
Über
About the Role: We are looking for a Senior/Staff Embedded Software Engineer to lead the development and bring‑up of ARM‑based microcontroller platforms across our robotics products. This is a high‑ownership role, directly responsible for building the low‑level firmware that powers our platforms. You will design, implement, and validate firmware for motion control, sensor integration, communications, power management, and safety‑critical functionality. This role comes with a strong expectation of hands‑on board bring‑up, low‑level debugging, and cross‑disciplinary collaboration with electrical and systems engineers.
Responsibilities
Own the firmware bring‑up and integration for new embedded platforms (e.g. ARM Cortex‑M series).
Develop and maintain bare‑metal firmware and RTOS‑based applications for robotic subsystems (motor control, sensors, telemetry, power systems).
Write and maintain robust, maintainable, and well‑documented C/C++ code for embedded targets.
Collaborate with the electrical engineering team on hardware bring‑up, schematic review, and system integration.
Lead system bring‑up, validation, and debug.
Contribute to firmware safety, reliability, and system‑level robustness.
Qualifications
Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, or a related field.
8+ years of hands‑on experience in embedded systems development.
Deep expertise in bare‑metal programming on ARM microcontrollers.
Strong proficiency in C/C++ for embedded targets and firmware design patterns.
Experience with hardware bring‑up and low‑level debugging on custom boards.
Solid understanding of digital electronics, buses (I2C, SPI, UART, CAN), and embedded peripherals.
Strong system‑level thinking, with an ability to work independently and take ownership across the full development cycle.
Must be comfortable regularly exercising discretion and independent judgment in performing job duties, including evaluating options, making informed decisions, and determining appropriate courses of action within the scope of assigned responsibilities.
Preferred Qualifications
Experience with RTOS (e.g. FreeRTOS, Zephyr) or Embedded Linux on constrained systems.
Familiarity with motor control, power systems, or battery management in robotics or automotive contexts.
Experience working closely with hardware teams, reading schematics, and performing board‑level debug.
Familiarity with safety‑critical systems, watchdogs, and fault handling.
Comfortable working in fast‑paced, high‑ownership engineering environments like those found in startups or advanced R&D teams.
Data Solutions Engineer About the Team: The Storage teams build and operate online stateful systems and abstractions that are reliable, efficient, secure and easy to use for DoorDash Engineering. The teams are responsible for understanding Product Engineering’s evolving needs and developing platform and infrastructure capabilities to serve them. The team currently supports CockroachDB, Cassandra, Kafka and Redis as well as data abstraction services to reduce the complexity of interacting with storage systems for Product Engineers.
About the Role: We’re hiring a Data Solutions Engineer with deep expertise in distributed databases, particularly Apache Cassandra, Redis, Kafka, and database agnostic abstractions. In this role, you will design, optimize, and scale distributed data access layers that power DoorDash’s most critical systems, ensuring high availability, low latency, and fault tolerance.
You’ll serve as a hands‑on architect and technical partner to product engineering and infrastructure teams, helping translate complex business requirements into resilient and scalable data models. Your work will directly influence the evolution of Taulu, DoorDash’s unified storage abstraction layer, by shaping best practices and identifying platform gaps through real‑world engagements.
Responsibilities
Design and implement highly scalable, fault‑tolerant distributed database solutions using Taulu, Apache Cassandra, Redis, Kafka, and other paved‑path storage solutions.
Architect and optimize multi‑region, globally distributed systems to meet our high standards for availability, latency, and throughput.
Lead data modeling, performance tuning, and capacity planning for large‑scale, mission‑critical storage workloads.
Partner with product engineering and infrastructure teams to deeply understand domain specific data needs and guide them in adopting paved‑path storage solutions.
Serve as the DRI for solutioning engagements, owning modeling in Taulu from experimentation through launch and scale.
Shape the evolution of Taulu by identifying abstraction gaps and converting customer feedback into platform improvements.
Apply workload‑aware design patterns, including caching strategies, partitioning, and consistency tuning to improve performance and efficiency.
Drive adoption of operational best practices across observability, schema design, capacity planning, and cost optimization across storage systems.
Promote clarity and continuity by contributing to solutioning playbooks, decision logs, and architectural documentation.
Qualifications
10+ years of experience designing and scaling distributed data systems, with deep expertise in NoSQL technologies like Apache Cassandra, DynamoDB, or ScyllaDB.
Strong command of distributed system concepts such as replication, partitioning, tunable consistency, and failure recovery.
Led data modeling efforts for high‑throughput, low‑latency workloads and understand the real‑world trade‑offs involved in NoSQL schema design.
Experienced with caching technologies like Redis or Memcached and know how to layer them effectively over storage systems to optimize for performance and cost.
Customer‑first mindset, and thrive when working closely with product and platform teams to translate complex requirements into clean, scalable data models.
Skilled at communicating complex architecture decisions and building alignment across infrastructure and product engineering organizations.
Track record of mentoring engineers, influencing data architecture at scale, and fostering best practices in reliability, observability, and data access patterns.
Document decisions, share learnings, and take pride in contributing to reusable playbooks and durable frameworks for others to build upon.
Bonus: worked on or contributed to open‑source distributed databases.
Benefits DoorDash offers a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, 16 weeks of paid parental leave, wellness benefits, commuter benefits match, paid time off and paid sick leave in compliance with applicable laws. DoorDash also offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family‑forming assistance, and a mental health program, among others.
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. Ranges are market‑dependent and may be modified in the future.
In addition to base salary, the compensation for this role includes opportunities for equity grants.
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 (e.g., stereotyping) from ever gaining a foothold in our office. 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.
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Sprachkenntnisse
- English
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