About Velaura
Velaura is building the next generation of compute platforms for Physical AI.
As AI moves beyond the datacenter into robots, autonomous mobile systems, drones, and other embodied systems, traditional compute architectures are increasingly constrained by power, memory bandwidth, latency, real-time requirements, and functional safety considerations.
Our mission is to develop the foundational compute technologies that enable intelligent systems to operate efficiently in the physical world.
We are assembling a team of exceptional architects and engineers to rethink how AI, sensing, memory, and control interact within a modern computing platform.
The Role
We are looking for talented RTL Engineers to help build Velaura’s next-generation Physical AI SoC.
In this role, you will work closely with architects, performance modelers, software engineers, verification engineers, and physical design teams to transform innovative architectural concepts into production silicon.
You will own significant portions of the design, contribute to microarchitectural decisions, and help deliver high-performance, power-efficient hardware that enables the next generation of intelligent physical systems.
We welcome engineers at all experience levels who are passionate about building great hardware and solving challenging technical problems.
Responsibilities
- Design, implement, and optimize RTL for key portions of the Velaura SoC.
- Collaborate with architects to develop robust and efficient microarchitectures.
- Participate in hardware/software co-design discussions spanning AI workloads, memory systems, runtime software, and system architecture.
- Work with software teams to define hardware interfaces, execution flows, memory hierarchies, and performance-critical interactions.
- Contribute to compute engines, memory subsystems, interconnect fabrics, control processors, DMA engines, power-management logic, and other core SoC infrastructure.
- Optimize designs for performance, power, area, scalability, and reliability.
- Partner closely with verification and physical design teams throughout the development cycle.
- Analyze performance bottlenecks and propose architectural and implementation improvements.
- Leverage modern engineering tools, including AI-assisted development workflows, to improve productivity, quality, and design exploration.
- Participate in design reviews and contribute to a culture of technical excellence.
Desired Experience
- Experience designing RTL for complex digital systems.
- Strong understanding of computer architecture, microarchitecture, and digital design fundamentals.
- Experience with Verilog/SystemVerilog and modern RTL design methodologies.
- Familiarity with performance, power, and area tradeoffs.
- Understanding of memory systems, interconnects, caches, DMA engines, or accelerator architectures.
- Experience with hardware/software co-design and system-level performance optimization.
- Strong debugging and problem-solving skills.
- Ability to work effectively in a collaborative, multidisciplinary engineering environment.
Relevant Backgrounds
- CPUs
- GPUs
- AI accelerators
- Networking and communications silicon
- Storage and data movement architectures
- Robotics and autonomous systems
- Automotive and advanced driver-assistance systems (ADAS)
- Aerospace and defense systems
- Real-time and safety-critical computing
- Functional safety architectures and methodologies
Nice to Have
- Experience with AI, machine learning, or edge AI hardware.
- Familiarity with robotics, drones, autonomous vehicles, or industrial automation systems.
- Knowledge of low-power design techniques and power management architectures.
- Exposure to performance modeling, emulation, FPGA prototyping, or silicon bring-up.
- Experience using modern AI tools and workflows to accelerate engineering productivity.
Why Velaura?
This is an opportunity to help build a new class of computing architecture at a time when the industry is undergoing fundamental change.
You will work alongside experienced leaders and architects who have delivered industry-defining products across mobile, cloud, and AI platforms.
If you enjoy building hardware, tackling difficult technical challenges, and helping shape the future of Physical AI, we would love to hear from you.