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Shyld AI
Shyld AI

Robotic Software Engineer - US Remote

Location

Remote restrictions apply
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Salary Estimate

N/AIconOpenNewWindows

Seniority

N/A

Tech stacks

Software Development
Hardware
AI
+19

Permanent role
4 days ago
Apply now

About the Role

We are looking for a Robotics Software Engineer to lead the design, development, and evolution of the software stack powering our robotic and edge AI devices. This is a senior individual-contributor role for someone who is deeply technical, highly hands-on, and capable of providing strong technical leadership across the device software lifecycle.

This person will play a critical role in shaping our robotics software architecture, driving engineering quality and software development process visibility, and ensuring the team makes strong technical decisions as we scale. The ideal candidate is someone who can operate at both the code level and the system level: writing production code, reviewing architecture, guiding implementation direction, and helping the team deliver reliable, maintainable robotics software.

This is not a people-manager-first role. We are specifically looking for someone who remains ~80% hands-on in coding and technical implementation, while spending the rest of their time on architecture reviews, technical planning, development process improvements, and cross-functional engineering coordination.

What You’ll Do

  • Lead the design and development of core robotics/device software for our edge AI systems
  • Own and improve the software architecture for device-side systems, ensuring scalability, reliability, maintainability, and performance
  • Drive architecture reviews and technical design discussions for robotics and device software
  • Provide strong visibility into the software development process, including planning, execution, risks, dependencies, technical debt, and delivery health
  • Help establish and maintain a disciplined software development process for robotics engineering, including code quality, testing, release practices, and technical documentation
  • Write high-quality production code as a primary contributor (approximately 80% hands-on coding)
  • Develop and maintain ROS/ROS2-based applications, services, nodes, interfaces, and system integrations
  • Build robust software in Python for robotics workflows, device orchestration, sensor integration, system services, and operational tooling
  • Collaborate closely with AI, hardware, cloud, product, and frontend teams to ensure smooth end-to-end system behavior
  • Review pull requests and provide strong technical guidance on design, implementation, debugging, and engineering best practices
  • Help diagnose and resolve complex issues across robotics software, hardware interfaces, system performance, and field deployments
  • Contribute to system-level decisions around device orchestration, observability, telemetry, deployment workflows, and operational reliability
  • Improve engineering rigor around debugging, validation, testability, and production readiness for robotics systems

What We’re Looking For

Required Qualifications

  • BS, MS, or PhD in Computer Science, Robotics, Electrical Engineering, or a related field
  • Significant industry experience in robotics software engineering, device software, or autonomous systems
  • Strong expertise in ROS or ROS2; this is a core requirement
  • Deep expertise in Python and a strong track record of building production-grade systems with it
  • Proven experience building and shipping production-grade robotics software
  • Demonstrated ability to define and review software architecture for robotics or device-side systems
  • Experience working across hardware/software boundaries, including sensors, peripherals, device communication, and real-world system constraints
  • Strong understanding of software engineering fundamentals: modular design, concurrency, debugging, testing, version control, CI/CD, code reviews, and maintainability
  • Ability to drive clarity, rigor, and visibility across the software development lifecycle from design through implementation and release
  • Strong communication skills and the ability to influence technical decisions across teams

Preferred Qualifications

  • Experience with edge AI devices, perception systems, or real-time computer vision pipelines
  • Experience deploying software on Linux-based embedded or edge platforms such as NVIDIA Jetson or similar systems
  • Familiarity with hardware interfaces, device health monitoring, telemetry, and field debugging
  • Experience in robotics software architecture spanning sensing, orchestration, perception, and system integration
  • Experience improving engineering process in fast-moving startup environments
  • Background in reliability-critical, healthcare, or regulated environments

About Shyld AI

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