Job Description

About Velaura AI

Velaura AI is building the next generation of compute platforms for artificial intelligence. As AI expands beyond the cloud into edge systems and physical environments, the constraints of energy efficiency, latency, and system architecture are becoming fundamental.

A particularly exciting frontier is embodied AI — systems that perceive, reason, and act in the real world. Robotics, autonomous mobile robots, drones, and other intelligent machines demand new approaches to compute that combine real-time responsiveness, energy efficiency, and advanced AI capabilities. Velaura combines deep semiconductor expertise with hardware-software co-design to deliver breakthrough performance per watt across cloud, edge, and embodied intelligence workloads.

The team is small and experienced, with a track record of designing and delivering some of the industry's most widely deployed compute platforms. The mission is to design silicon and systems from first principles for the next wave of AI applications.

The Opportunity

Velaura is looking for a Robotics & Autonomy Systems Architect who deeply understands how modern robotic and drone systems are designed and deployed. You will bridge the gap between real-world robotic systems and next-generation compute platforms — analyzing complete robotics stacks from sensors and perception through planning, control, and onboard compute, and translating those requirements into hardware and system architectures.

Your work will directly guide how Velaura's compute platforms are designed to support robotics, drones, and embodied AI applications. This role requires strong systems-level thinking and the ability to reason across hardware, software, and architecture boundaries. If you are energized by the challenge of shaping compute platforms for the next generation of intelligent machines, this is that role.

This is a Hybrid position.

What You'll Do

• •Analyze modern robotics and drone system architectures including sensing, perception, planning, control, and onboard compute
• •Understand how autonomy stacks process sensor data and translate those requirements into system-level compute needs
• •Map robotics and autonomy workloads onto compute platforms, identifying performance, latency, and power constraints
• •Work with hardware architects to define compute architectures optimized for robotics and embodied AI workloads
• •Evaluate real-world deployment requirements including reliability, real-time performance, safety, and energy efficiency
• •Collaborate with AI model architects and silicon designers to align robotics workloads with next-generation hardware capabilities
• •Develop system-level workload models representing robotics and drone use cases
• •Help guide product direction by identifying emerging requirements across robotics, AMRs, drones, and other embodied AI systems

You Should Have

• •Strong understanding of robotics or drone system architectures
• •Experience working with autonomy stacks including perception, sensor fusion, planning, and control
• •Experience with robotics frameworks such as ROS, Isaac, or similar autonomy platforms
• •Strong systems engineering mindset with the ability to reason about end-to-end system performance
• •Experience deploying or architecting compute platforms for robotics or autonomous systems
• •Ability to work across hardware, software, and system architecture teams

Nice to Have

• •Experience designing compute architectures for robotics or edge AI systems
• •Familiarity with sensor modalities such as cameras, lidar, radar, and IMUs
• •Experience with real-time systems and robotics control loops
• •Background in drones, autonomous vehicles, or industrial robotics
• •Understanding of how AI models integrate into robotics pipelines