Jobs / United States / Doordash INC
Software Engineer, Robotics Infrastructure - Autonomy & Robotics, DoorDash Air
Doordash INC · 🇺🇸 San Francisco, CA
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 396 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 147 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Doordash INC paid sponsored hires in similar roles88 certified filings for “Software Engineer” (Software Developers) in CA: $154k–$188k, median $188k. Most were filed at wage level I (41%) — 1 lottery entry, ≈15% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Doordash INC
The US Department of Labor certified 396 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 147 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Doordash INC →
About the role
About the Team DoorDash Labs is an independent team within DoorDash. We explore robotics and automation to transform last mile logistics in the long term. 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 a Robotics Infrastructure Engineer in our Autonomy Software team. In this role, you'll own, build, and manage the infrastructure that makes aerial autonomy development possible. You'll work on the onboard systems that keep a drone alive (process management, health monitoring, parameterization) and the development environment that makes the team fast (build systems, CI/CD, logging, debugging, regression testing). This is not cloud infrastructure. This is real-time, fault-tolerant, onboard software for vehicles that cannot gracefully restart at 50 meters altitude. You're excited about this opportunity because you will… • Play an integral role on a small and focused team • Develop and own critical onboard components: process management, health monitoring, configuration management, and message passing • Own the build system (C++, Python) and middleware layer (ROS2), including cross-compilation for Jetson targets • Design and maintain CI/CD pipelines and regression testing infrastructure • Build and manage the parameterization system, including schema definition, validation, migration, and deployment • Build robotics logging, plotting, and debugging tools that make the entire team more productive • Work closely with the simulation team to support SIL/HIL development workflows • Define reliability standards for onboard software: watchdogs, failover, and graceful degradation We're excited about you because… • You have prior experience at a robotics company in a similar infrastructure role • You have experience with robotics middleware (ROS2, LCM, eCal, Apex.AI) • You have experience with build systems and package managers (CMake, Bazel, Nix, Conan) • You have experience with NVidia Jetson and JetPack • You have experience with robotics logging and visualization (RViz, Foxglove, Rerun, Plotly) • You have strong C++ and Python skills, and you're comfortable with systems-level debugging • You love diving into build system and compiler internals (LLVM, linker behavior, optimization passes) • You want to own and define a critical layer of infrastructure, not just contribute to one • You get excited about rendering and plotting robot internals, and you treat observability as a first-class problem • You're driven by a passion for delivering outstanding customer experiences • You have a proactive approach to development, often crafting new tools • BS/MS/PhD in CS, EE, ME, Robotics, or related field Nice to have experience includes: • • Experience designing fault-tolerant systems for safety-critical applications (aerospace, automotive, medical) • Contributions to open-source robotics tooling • Experience with deterministic replay or time-travel debugging for robotics • Familiarity with DO-178C or similar certification-aware development processes • Experience with Nix for reproducible robotics builds • You have informed opinions on process supervision (systemd vs custom vs supervisord) and can articulate the tradeoffs • You've debugged DDS/middleware issues under real-time constraints on embedded hardware 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. Ranges are market-dependent and may be modified in the future. In addition to base salary, the c