Staff Software Engineer, Physical AI

About the role

We seek a Software Engineer to contribute to the next generation of Physical AI platforms on Arm. Your work will focus on building foundational software for AI tasks such as vision, robotics, speech, and intelligence based on sensor input. This software enables AI workloads to be deployed, managed, and used optimally on the device, independent of cloud services. You will focus on building platform-level services, developer tooling, and runtime infrastructure that boost developer efficiency and make advanced AI capabilities accessible through clean, stable abstractions. This is a high-impact role working on systems that sit at the intersection of distributed systems, edge computing, and AI infrastructure.

Responsibilities

• Build and implement reliable, scalable system services for physical AI workloads.
• Develop runtime infrastructure that enables deployment, lifecycle management, and updates of AI-powered components on-device.
• Develop abstractions that decouple applications from underlying AI frameworks, models, and hardware accelerators.
• Build APIs, SDKs, and developer tooling that streamline how engineers build and integrate AI-powered features.
• Improve end-to-end developer workflows, from local development to on-device deployment and updates.
• Build observability and diagnostics capabilities to help developers understand performance, failures, and system behavior.
• Build software that performs reliably under edge constraints such as limited resources, real-time requirements, and heterogeneous hardware.
• Contribute to system-level performance optimization across CPUs and AI accelerators.
• Ensure systems are maintainable, testable, and robust in production environments.
• Work closely with architects, product managers, and AI engineers to build platform capabilities and developer-facing abstractions.
• Collaborate across teams to build clean APIs, service boundaries, and integration points.
• Contribute to reference implementations, documentation, and example workflows.

Requirements

• 6+ years’ experience crafting and building systems software, platform services, or distributed systems in production.
• Proficiency in C/C++, Rust, Go, or Python (language choice depends on component).
• Solid understanding of: Linux-based systems; process isolation, IPC, and service lifecycles; API build and versioning.
• 3+ years’ experience building developer platforms, SDKs, or internal tooling.
• Strong fundamentals in algorithms, data structures, and performance optimization.
• Ability to work across multiple layers of the stack, from APIs down to system behavior.
• Excellent problem-solving, communication, and collaboration skills.

Skills

• Experience with container technologies and modern packaging/deployment approaches.
• Familiarity with edge computing, embedded Linux, or real-time systems.
• Exposure to AI/ML inference systems, even from a platform or infrastructure perspective.
• Experience with heterogeneous computing (CPUs, GPUs, NPUs