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Salary: USD 176,000 - 220,000 / annual
Atoms is building Physical AI—real-world robots for industries including food, mining, and transport. The company integrates hardware, software, AI, operations, and manufacturing to deploy autonomous systems at scale.
The Fleet Management engineering team builds software systems that help operators understand, manage, and scale autonomous fleets in real-world environments. You will work across product, data, backend services, and user-facing applications to turn complex operational problems into reliable, high-leverage software.
As a Back-End Engineer, you will design, build, and operate backend services and APIs powering fleet-management products. You'll develop reliable data models, pipelines, and service integrations for operational and fleet data. You will own backend systems from architecture and implementation through deployment, observability, and ongoing operation. Your work will include designing systems for reliability, scalability, debuggability, and clear operational ownership; partnering with full-stack and product engineers to define clean interfaces; working directly with engineering and operational stakeholders to understand real-world requirements; using modern AI-assisted engineering tools; investigating complex production issues across services and system boundaries; and contributing to technical direction and engineering standards as the platform grows.
The team values engineers comfortable owning problems beyond a narrow technical boundary, moving quickly, and staying close to users.
REQUIREMENTS:
- 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 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 track record of driving meaningful technical projects from design through production
NICE TO HAVE:
- 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
