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# Senior Software Engineer, Autonomous Systems

- **Company:** True
- **Location:** Palo Alto, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Systems Engineering, C++ (Programming Language), Middleware, Python (Programming Language), Machine Learning, Software Engineering, Toolchain, Rust (Programming Language), Large Language Models, Backend, Agentic-AI, Information Technology, Stream Processing, Microservices
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25303_83ff4def0641baeaca1788f795dc4abe

## About the Role

* Four to ten years of backend or service-layer software engineering experience, with recent hands-on individual contributor work.
 * Experience owning core backend services such as microservices, APIs, or middleware, and building real-time messaging between live external services.
 * Proficiency in Rust, Python, C++, or Java, plus a degree in computer science or a related technical field.
 * Professional experience in autonomy, such as autonomous vehicles, drones, robotics, or factory automation. Experience should include shipped software beyond algorithms, simulation, or ML research alone.
 * Experience delivering software in a fast-moving prototype-to-field environment. Familiarity with LLM integrations, AI agents, or toolchains is useful.
 * US work authorization, US citizenship, and eligibility to obtain a security clearance are required. Visa sponsorship is not available.

## Description

Join a customer-facing product engineering team building cloud and edge software for command and control of autonomous systems. Your work will connect sensors, robotic platforms, and AI-assisted decision-making to support demanding operational missions., * Design, build, and optimize backend and service-layer software for mission-critical autonomous systems.

 * Develop real-time data processing for heterogeneous sensors, including state estimation and threat detection.
 * Build LLM- and AI-enabled systems that assess situations and support timely operational decisions.
 * Integrate sensors, effectors, and autonomous platforms, including individual vehicles and coordinated groups.
 * Engineer scalable, reliable, and fail-safe services for high-stakes environments.
 * Work with robotics, hardware, sensing, and systems engineering teams to deliver integrated solutions.