Jobs at Zoox

19,167 open positions

Zoox, a pioneer in autonomous vehicle technology, was acquired by Amazon in 2020 and now focuses on designing and operating a fully autonomous fleet for on-demand mobility. The company builds end‑to‑end software stacks, from perception and planning algorithms to low‑latency control systems, and runs a fleet of self‑driving vehicles in dedicated test zones.

Zoox hires engineers, data scientists, robotics specialists, safety and testing engineers, product managers, UX designers, and operations staff. Candidates can expect a multidisciplinary environment where rapid prototyping, rigorous safety validation, and continuous deployment are standard. Projects often involve real‑time sensor fusion, reinforcement learning for driving policies, and large‑scale simulation.

Job Transparency provides transparent salary ranges for each Zoox position and aggregates employee sentiment from verified reviews. By seeing exact compensation and detailed workplace feedback, you can benchmark Zoox against similar roles, negotiate better offers, and assess whether the company’s culture aligns with your career goals before applying.

No open positions at Zoox right now.

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Frequently Asked Questions

What is it like to work at Zoox?
Working at Zoox means collaborating with cross‑functional teams that include software, hardware, and safety experts. The company culture emphasizes autonomy, experimentation, and data‑driven decision making. Employees often participate in safety reviews, simulation sessions, and field test drives. The environment is fast‑paced but supports continuous learning, with access to internal conferences, hackathons, and mentorship programs.
What types of positions are available at Zoox?
Zoox offers roles across software engineering (frontend, backend, systems), machine learning and AI, robotics and control, safety engineering, data science, product management, UX/UI design, and operations. The company values candidates who can work in small, autonomous squads, solve complex real‑world problems, and adapt to evolving technical requirements.
How can I stand out as an applicant for Zoox?
To differentiate yourself, showcase hands‑on experience with autonomous vehicle components or large‑scale machine‑learning pipelines. Highlight any safety‑critical projects, simulation work, or contributions to open‑source robotics libraries. Prepare concrete examples of problem‑solving, and demonstrate curiosity by discussing recent advancements in perception, planning, or reinforcement learning that could enhance Zoox’s fleet. Finally, align your personal values with Zoox’s mission of building safe, efficient, and accessible autonomous transportation.

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