Platform Software Lead – Physical AI

Posted Yesterday
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Santa Clara, CA, USA
In-Office
200K-300K Annually
Entry level
Artificial Intelligence • Hardware • Software • Semiconductor
The Role
Define and build the software architecture underlying Velaura’s Physical AI platform, including SDKs, runtimes, drivers, firmware, compilers, developer tools, and workload orchestration. Lead hardware/software co-design, performance optimization, profiling, and integration with ROS2, DDS, robotics, drones, and autonomous systems. Establish engineering processes and help develop a high-performing platform software team enabling efficient AI deployment across heterogeneous computing systems.
Summary Generated by Built In
Role Overview
We are seeking a Platform Software Lead to help define and build the software foundation for Velaura’s next-generation Physical AI platform. This role sits at the intersection of silicon architecture, system software, AI workloads, robotics middleware, and developer experience. You will work closely with architects, performance modelers, and application developers to create a platform that enables efficient deployment of AI workloads in real-world robotic and autonomous systems. You will help define the architecture, not merely implement software on top of it. We welcome both experienced technical leaders and highly technical individual contributors who are passionate about
building systems from first principles.

    Responsibilities

    ● Define the software architecture for the Velaura platform, including SDKs, runtime software, drivers, firmware, and developer tools.

    ● Drive compiler, runtime, scheduling, memory management, and workload orchestration technologies that maximize system performance and efficiency.

    ● Lead HW/SW co-design efforts spanning architecture, execution models, memory hierarchy, and system-level optimization.

    ● Enable seamless deployment of AI workloads in robots, drones, AMRs, and autonomous systems.

    ● Drive integration with ROS2, DDS, and related robotics software ecosystems.

    ● Build profiling, performance analysis, and optimization infrastructure across the full software stack.

    ● Establish software engineering processes and help build a world-class platform software team.

    ● Developers can deploy AI workloads quickly and efficiently on Velaura platforms.

    ● Robotics developers can integrate the platform with minimal friction.

    ● The software stack extracts maximum performance and efficiency from the hardware.

    ● Hardware/software co-design becomes a key competitive advantage.

    Required Qualifications

    ● Strong experience developing platform software, runtime systems, SDKs, firmware, drivers, or system software.

    ● Deep understanding of operating systems, software architecture, and performance optimization.

    ● Experience with compilers, runtime systems, graph execution frameworks, or AI deployment stacks.

    ● Experience with hardware/software co-design and heterogeneous computing systems.

    ● Strong software engineering, debugging, and problem-solving skills.

    ● Ability to work effectively across architecture, hardware, and software teams.

    Preferred Qualifications

    ● Background in AI platform software, runtime systems and compilers, embedded systems and firmware, robotics and autonomous systems, GPUs and heterogeneous computing, AI accelerators, mobile and edge computing
    platforms, or real-time and safety-critical systems.

Why Velaura?

Velaura is building next-generation compute technology for cloud, edge, and Physical AI. Our solutions will enable robots, autonomous systems, drones, and other intelligent machines to operate efficiently in the physical world.
This is an opportunity to help build foundational technology at a time when the industry is undergoing fundamental change. You will work alongside experienced leaders, architects, engineers, and operators who have delivered industry-defining products across mobile, cloud, semiconductor, and AI platforms. If you enjoy solving difficult problems, working across disciplines, and helping shape the future of Physical AI, we would love to hear from you.

Equal Employment Opportunity and Accommodations

Velaura is an Equal Opportunity Employer that is committed to inclusion and diversity. Qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, disability or protected veteran status. We also take affirmative action to offer employment
opportunities to minorities, women, individuals with disabilities, and protected veterans.

Velaura is committed to working with qualified individuals with physical or mental disabilities. Applicants who would like to contact us regarding the accessibility of our website or who need special assistance or a reasonable accommodation for any part of the application or hiring process may contact us at: [email protected]. This contact
information is for accommodation requests only. Evaluation of requests for reasonable accommodation will be determined on a case-by-case basis.

Skills Required

  • Strong experience developing platform software, runtime systems, SDKs, firmware, drivers, or system software
  • Deep understanding of operating systems, software architecture, and performance optimization
  • Experience with compilers, runtime systems, graph execution frameworks, or AI deployment stacks
  • Experience with hardware/software co-design and heterogeneous computing systems
  • Strong software engineering, debugging, and problem-solving skills
  • Ability to work effectively across architecture, hardware, and software teams
  • Background in AI platform software, runtime systems and compilers, embedded systems and firmware, robotics and autonomous systems, GPUs and heterogeneous computing, AI accelerators, mobile and edge computing platforms, or real-time and safety-critical systems
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The Company
104 Employees
Year Founded: 2022

What We Do

Velaura AI develops ultra-low-power silicon and software for AI compute infrastructure, serving cloud, edge, and physical-AI applications. Its patented, energy-efficient digital-design technology and power-optimized architectures support next-generation AI accelerators, helping compute systems scale with lower energy use. Drawing on deep semiconductor expertise, the company aims to make AI computing more efficient across data centers and intelligent devices, with performance and sustainability central to its approach.

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