Back-End Engineer - Fleet Management

Atoms is building the machines that power the next era of progress.

Over the last decade, software has transformed the digital world. But the physical world, where food is made, minerals are mined, goods are moved, and industries are run, remains far less intelligent, far less efficient, and far more constrained. We’re changing that.

Atoms builds Physical AI— real-world robots for the industries that move civilization forward, starting with food, mining, and transport. Our systems are designed to understand, predict, and control the real world with precision, turning complex physical operations into something more reliable, more scalable, and more productive.

This work requires more than robotics. It requires deep integration across hardware, software, AI, operations, manufacturing, and real estate. We don’t just build machines in a lab. We deploy them into real environments, operate them, learn from them, and improve them until they work at scale.

We are roboticists, engineers, operators, and builders. We believe the next great technology companies will not only transform information, but the physical systems that shape everyday life.

If you want to work on hard problems with real-world impact, join us.

The Fleet Management engineering team builds the software systems that help operators understand, manage, and scale autonomous fleets in real-world environments. The team works across product, data, backend services, and user facing applications to turn complex operational problems into reliable, high-leverage software. We move quickly, stay close to users, and value engineers who are comfortable owning problems beyond a narrow technical boundary.

We are looking for a Back-End Engineer to build the services, APIs, data systems, and platform capabilities behind our Fleet Management product. You will work on systems that connect complex operational data to the software used to manage autonomous fleets in the field. We want a backend-focused engineer with strong generalist instincts, someone who can own a problem end to end, make sound architectural decisions, and partner closely with product-facing engineers and users.

• →Design, build, and operate backend services and APIs that power fleet-management products and workflows.
• →Develop reliable data models, pipelines, and service integrations for operational and fleet data.
• →Own backend systems from architecture and implementation through deployment, observability, and ongoing operation.
• →Design systems for reliability, scalability, debuggability, and clear operational ownership.
• →Partner with full-stack and product engineers to define clean interfaces and enable fast product development.
• →Work directly with engineering and operational stakeholders to understand real-world requirements and turn them into robust technical solutions.
• →Use modern AI-assisted engineering tools and emerging technologies to accelerate development and improve system capabilities.
• →Investigate complex production issues across services, data, and system boundaries and drive them to resolution.
• →Contribute to technical direction and engineering standards as the Fleet Management platform grows.

• Strong software engineering fundamentals and experience building production backend systems.
• Experience designing APIs, services, data models, and distributed or data-intensive systems.
• Strong understanding of system design, reliability, performance, and engineering tradeoffs.
• Experience working with databases and designing systems around complex or high-volume data.
• Generalist engineering instincts and a willingness to work outside a narrowly defined backend boundary when the problem requires it.
• Ability to operate effectively in an ambiguous, fast-moving environment with a high degree of ownership.
• Strong communication skills and a track record of driving meaningful technical projects from design through production.

• Experience with fleet-management, logistics, robotics, autonomous vehicles, or other operationally complex systems.
• Experience with real-time, streaming, telemetry, or event-driven architectures.
• Experience building data platforms or systems that support operational decision-making.
• Experience incorporating AI/ML capabilities or AI-enabled developer workflows into production systems.
• Startup or zero-to-one engineering experience.

This role is based in our San Francisco office. Atoms is a company driven by invention and continuous change - we are constantly reimagining our industries, building new products, and refining how we operate. We do our best work together. That’s why all of our office-based teams work onsite, five days a week.

The base salary range for this role is $176,000 - $220,000 per year.

Actual compensation will be determined on an individual basis and may vary depending on experience, skills, and qualifications.

Base salary is just one part of your total rewards package. You may also be eligible for equity awards.

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