We are seeking an experienced RTL Lead to help drive the implementation of Velaura’s next-generation Physical AI SoC. This role combines architectural influence with hands-on technical leadership. You will work closely with system architects, AI architects, performance modelers, and software engineers to transform innovative architectural concepts into production-quality silicon. The ideal candidate is equally comfortable discussing system-level tradeoffs and reviewing critical RTL microarchitecture. You should enjoy solving challenging technical problems, mentoring
engineers, and helping build a high-performance engineering culture.
- Responsibilities
● Lead RTL development across key portions of the Velaura SoC.
● Collaborate with architects to translate system requirements into robust microarchitectures.
● Drive hardware/software co-design across AI workloads, memory systems, runtime software, and system architecture.
● Partner closely with software teams to define programming models, execution flows, memory hierarchies, and performance-critical interfaces.
● Drive design decisions across compute engines, memory subsystems, interconnect, control logic, and system infrastructure.
● Develop high-quality, power-efficient, and scalable RTL implementations.
● Conduct architecture and RTL reviews to ensure performance, power, and area goals are achieved.
● Work closely with performance modeling, verification, physical design, and software teams throughout the development cycle.
● Help establish engineering processes and design methodologies as the organization grows.
● Mentor and develop other RTL engineers.
● Strong RTL design experience in complex SoCs, CPUs, GPUs, AI accelerators, networking devices, or related systems.
● Deep understanding of digital design fundamentals and microarchitecture.
● Experience with Verilog/SystemVerilog and modern RTL development methodologies.
● Familiarity with memory systems, interconnect fabrics, cache hierarchies, and system-level data movement.
● Experience balancing performance, power, area, and design complexity.
● Proven ability to drive complex technical projects from concept through silicon bring-up.
● Experience with hardware/software co-design and performance optimization across the full system stack.
● Familiarity with AI runtimes, operating systems, firmware, drivers, or other system software layers is highly desirable.
- Preferred Qualifications
● Experience with AI accelerators, machine learning hardware, or edge AI platforms.
● Experience with robotics, autonomous systems, automotive, aerospace, or other real-time computing environments.
● Knowledge of low-power design techniques and power management architectures.
At Velaura, we believe exceptional talent deserves exceptional rewards. Compensation for this role includes a base salary and very competitive equity compensation, allowing team members to share in the company’s long-term success.
The base pay listed represents a good faith estimate that the Company reasonably expects to pay for this position at the time of hire. Actual compensation will depend on multiple factors, including the candidate's skills, qualifications, relevant experience, and geographic location.
In addition to base salary and equity 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.
Velaura is an Equal Opportunity Employer that is committed to inclusion and diversity. Qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, disability or protected veteran status. We also take affirmative action to offer employment
opportunities to minorities, women, individuals with disabilities, and protected veterans.
Velaura is committed to working with qualified individuals with physical or mental disabilities. Applicants who would like to contact us regarding the accessibility of our website or who need special assistance or a reasonable accommodation for any part of the application or hiring process may contact us at: [email protected]. This contact
information is for accommodation requests only. Evaluation of requests for reasonable accommodation will be determined on a case-by-case basis.
Skills Required
- Strong RTL design experience in complex SoCs, CPUs, GPUs, AI accelerators, networking devices, or related systems
- Deep understanding of digital design fundamentals and microarchitecture
- Experience with Verilog/SystemVerilog and modern RTL development methodologies
- Familiarity with memory systems, interconnect fabrics, cache hierarchies, and system-level data movement
- Experience balancing performance, power, area, and design complexity
- Ability to drive complex technical projects from concept through silicon bring-up
- Experience with hardware/software co-design and performance optimization across the full system stack
- Familiarity with AI runtimes, operating systems, firmware, drivers, or other system software layers
- Experience with AI accelerators, machine learning hardware, or edge AI platforms
- Experience with robotics, autonomous systems, automotive, aerospace, or other real-time computing environments
- Knowledge of low-power design techniques and power management architectures
What We Do
Velaura AI develops ultra-low-power silicon and software for AI compute infrastructure, serving cloud, edge, and physical-AI applications. Its patented, energy-efficient digital-design technology and power-optimized architectures support next-generation AI accelerators, helping compute systems scale with lower energy use. Drawing on deep semiconductor expertise, the company aims to make AI computing more efficient across data centers and intelligent devices, with performance and sustainability central to its approach.
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