Full-Stack Engineer - Fleet Management

Atoms•San Francisco, CA

5d•$176,000 - $220,000•Onsite

About The Position

Atoms is hiring a product-minded Full-Stack Engineer for its Fleet Management engineering team. The team builds software that helps operators understand, manage, and scale autonomous fleets in real-world environments, working across product, data, backend services, and user-facing applications. In this generalist role, you will build and own software used to manage autonomous fleets, working from user-facing workflows and interfaces through APIs, backend services, and data. You will take ambiguous operational problems from idea to production, own features end to end, and work wherever the problem requires. The position is based onsite at Atoms’ San Francisco office, with office-based teams working onsite five days a week. The base salary range is $176,000–$220,000 per year. Compensation is determined individually and may vary based on experience, skills, and qualifications. Equity awards may also be available. Benefits listed apply to USA full-time exempt employees and may change at the company’s discretion.

Requirements

Strong software engineering fundamentals and experience shipping production software.
Experience building across both frontend and backend systems, with depth in one area and the ability and willingness to work across the stack.
Experience with modern web applications, APIs, services, databases, and data-intensive product workflows.
Strong product instincts and ability to reason from a user or operational problem rather than a narrowly defined technical task.
Ability to operate effectively in an ambiguous, fast-moving environment with a high degree of ownership.
Strong communication and technical judgment, including the ability to explain tradeoffs clearly.
A track record of taking meaningful projects from concept through launch and iteration.

Nice To Haves

Experience building operational tooling, fleet-management systems, logistics platforms, robotics, or autonomous-vehicle products.
Experience with real-time or high-volume data systems.
Experience incorporating AI/ML capabilities or AI-enabled developer workflows into production products.
Startup or zero-to-one product engineering experience.

Responsibilities

Own features and product experiences end to end, from technical design through production deployment.
Build intuitive, high-quality interfaces for fleet operators and internal users.
Design and implement backend services, APIs, and data flows that power fleet-management workflows.
Work with operational and engineering stakeholders to translate complex real-world needs into simple, scalable product solutions.
Use modern AI-assisted engineering tools and emerging technologies to increase development velocity and improve product capabilities.
Make pragmatic architecture and implementation decisions while maintaining a high bar for reliability, maintainability, and user experience.
Debug across system boundaries and take ownership of issues through resolution.
Help shape engineering practices and technical direction as the Fleet Management product and team grow.