Platform Software Lead – Physical AI
Velaura AI develops ultra-low-power silicon and software technologies for AI compute infrastructure. Its solutions serve hyperscale data centers and Physical AI applications such as robotics, autonomous systems, drones, and edge devices.
Maintainer signals as of 8/23/2026
Funding history
About Velaura AI, Inc.
Velaura AI is an AI compute infrastructure company developing ultra-low-power silicon and software technologies. Its Titan Core™ platform uses proprietary digital chip IP, low-voltage libraries, EDA flows, and design methodologies to improve performance per watt in AI accelerators while maintaining performance, yield, and reliability. The company also applies this technology to Physical AI systems, including industrial robots, autonomous machines, drones, humanoids, and edge devices. Velaura engages hyperscalers, XPU companies, and developers of next-generation AI infrastructure and Physical AI solutions.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
Define and build the software foundation for Velaura’s Physical AI platform across SDKs, runtimes, drivers, firmware, developer tools, compiler and scheduling work, robotics integration, AI deployment, and performance optimization.
Requirements
- Platform software development
- Runtime systems
- SDK development
- Firmware development
- Driver development
- System software
- Operating systems
- Software architecture
- Performance optimization
- Compilers
- Graph execution frameworks
- AI deployment stacks
- Hardware/software co-design
- Heterogeneous computing
- Software engineering
- Debugging
- Problem-solving
- Embedded systems
- Robotics
- Autonomous systems
- GPUs
- AI accelerators
- Mobile computing
- Edge computing
- Real-time systems
- Safety-critical systems
Responsibilities
- Define software architecture for SDKs, runtime software, drivers, firmware, and developer tools
- Drive compiler, runtime, scheduling, memory management, and workload orchestration technologies
- Lead hardware/software co-design across architecture, execution models, memory hierarchy, and system optimization
- Enable AI workload deployment in robots, drones, AMRs, and autonomous systems
- Drive integration with ROS2, DDS, and related robotics software ecosystems
- Build profiling, performance analysis, and optimization infrastructure
- Establish software engineering processes
- Build a world-class platform software team
Benefits
- Medical coverage
- Dental coverage
- Vision coverage
- Paid time off
- Flexible work arrangements
- Professional development opportunities
- Performance-based incentives
- Equity participation
Hiring Process
Velaura may use AI tools to review applications, analyze resumes, assess responses, and identify potential inconsistencies or verification signals. These tools assist the recruitment team, while final hiring decisions are made by humans.