RTL Engineer Memory Subsystem
Velaura
RTL Engineer Memory Subsystem
Velaura
Designs energy-efficient AI silicon and systems
Salary Range: 150000 to 250000 (Currency: USD) (Pay period: per-year-salary)
We are looking for a talented RTL Engineer to help build Velaura's next-generation Physical AI SoC, with a focus on the high-speed, low-power memory subsystem that feeds the chip.
In this role, you will work closely with architects, performance modelers, software engineers, verification engineers, physical design teams, and memory IP and PHY partners to transform innovative architectural concepts into production silicon. You will own significant portions of the memory subsystem design, contribute to microarchitectural decisions, and help deliver high-performance, power-efficient hardware that enables the next generation of intelligent physical systems.
Physical AI workloads are memory-bound: bandwidth, latency, and power in the memory path directly gate what the chip can do. If pushing modern memory technologies to their limits at high speed and low power is the kind of problem you want to own, this role is for you.
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.
Velaura AI designs and manufactures ultra-energy-efficient AI infrastructure, including 3nm ASIC chips, Teraflux mining systems, FluxVision fleet-management software, and AuraLinks rack-level networking. Customers deploy the hardware in data centers, while FluxVision monitors and manages fleets; EnergyTune and AutoTune dynamically adjust power to meet grid stability, and AuraLinks reduces bottlenecks in AI training and inference. The company differentiates itself with a team of silicon architects from Apple, Google, and Qualcomm, plus a patent-pending energy-management approach and a fully integrated hardware-software stack. Its goal is to enable massive AI deployment by delivering powerful, energy-efficient compute and networking that aligns with sustainable energy grids and domestically produced technology.
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