Platform Software Lead – Physical AI

Platform Software Lead

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.

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.

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.

At Velaura, we believe exceptional talent deserves exceptional rewards. Compensation for this role includes a competitive base salary, performance-based incentives, and equity participation, allowing team members to share in the company's long-term success. Your base pay will depend on your skills, qualifications, experience, and location. In addition to compensation, Velaura offers a comprehensive benefits package that may include medical, dental, and vision coverage;

paid time off; flexible work arrangements; professional development opportunities; and other benefits designed to support the well-being and growth of our team. Velaura is committed to pay equity and transparency and regularly benchmarks compensation to ensure we remain competitive in the market.

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.