Senior Software Engineer, Autonomous Systems
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Palo Alto, CA, United States
1 day ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
4 years minimum
Working hours
Regular working hours
Job source
Tech stack
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
+5 more
Backend
Agentic-AI
Information Technology
Stream Processing
Microservices
Job 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.
Requirements
- 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.
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