Platform Software Lead – Physical AI
Velaura AI develops ultra-low-power compute technology for cloud, edge, and physical AI applications. It also offers Teraflux Bitcoin mining hardware, fleet-management software, and related support for mining operators.
Funding history
Projects
About Velaura AI
Velaura AI is a semiconductor and technology company that provides patented ultra-low-power silicon design technology, IP, toolflows, and custom chiplet solutions for AI compute platforms. Its customers include hyperscaler and XPU companies seeking reduced power consumption and higher compute efficiency. The company also builds Teraflux Bitcoin mining products, including air-, hydro-, and immersion-cooled miners, ASICs, modular containers, miner firmware, fleet-management software, and enterprise customer support.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You define and build the software foundation for a Physical AI platform. You shape software architecture across SDKs, runtimes, drivers, firmware, and developer tools; lead compiler and scheduling work; integrate robotics ecosystems; enable AI deployment; and build profiling and optimization infrastructure.
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 and DDS
- Build profiling, performance analysis, and optimization infrastructure
- Establish software engineering processes
- Build a platform software team
Benefits
- Medical coverage
- Dental coverage
- Vision coverage
- Paid time off
- Flexible work arrangements