Role Overview
We are looking for a Senior RTL Engineer to help build Velaura’s next-generationPhysical AI SoC. In this role, you will work closely with architects, performancemodelers, software engineers, verification engineers, and physical design teams totransform innovative architectural concepts into production silicon. You will ownsignificant portions of the design, drive microarchitectural decisions, and help deliverhigh-performance, power-efficient hardware that enables the next generation ofintelligent physical systems.
Responsilibities
- Own the design, implementation, and optimization of RTL for key portions of the Velaura SoC.
- Collaborate with architects to develop robust and efficient microarchitectures, and drive microarchitectural decisions within your areas of ownership.
- 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 SoCinfrastructure.
- Optimize designs for performance, power, area, scalability, and reliability.
- Partner closely with verification and physical design teams throughout thedevelopment cycle, and mentor junior engineers on design methodology andmicroarchitecture.
- Analyze performance bottlenecks and propose architectural and implementationimprovements.
- Leverage modern engineering tools, including AI-assisted developmentworkflows, to improve productivity, quality, and design exploration.
- Participate in and lead design reviews, contributing to a culture of technicalexcellence.
Required Qualifications
- 8+ years (or equivalent depth) designing RTL for complex digital systems, withdemonstrated ownership of significant blocks or subsystems through tapeout.
- Strong understanding of computer architecture, microarchitecture, and digitaldesign fundamentals.
- Expert-level Verilog/SystemVerilog and modern RTL design methodologies (lint,CDC, synthesis-aware coding, low-power intent).
- Strong grasp of performance, power, and area tradeoffs, and experience makingdata-driven microarchitecture decisions.
- Understanding of memory systems, interconnects, caches, DMA engines, oraccelerator architectures.
- Experience with hardware/software co-design and system-level performanceoptimization.
- Strong debugging and problem-solving skills.
- Ability to work effectively in — and technically lead within — a collaborative,multidisciplinary engineering environment.
Preferred Qualifications
- Deep expertise in memory subsystem design: caches, coherency, memorycontrollers (e.g., LPDDR/DDR/HBM), on-chip SRAM organization, addresstranslation, and memory protection.
- Hands-on experience designing or significantly extending DMA engines, data-movement accelerators, or similar high-bandwidth data-path logic —including descriptor-based DMA, multi-channel arbitration, QoS, and outstanding-transaction management.
- Working knowledge of standard interconnect and coherency protocols (e.g., AXI, CHI, ACE) and their performance implications.
- Experience with SMMU/IOMMU design or integration, virtualization, and DMA isolation for safety or security.
- Familiarity with RAS features in memory and data paths, such as ECC, poisoning, and error reporting.
- Experience with NoC fabrics, virtual channels, and QoS mechanisms for memory traffic.
- Knowledge of functional safety (e.g., ISO 26262/ASIL) as it applies to memoryand data-path design.
- Experience with AI, machine learning, or edge AI hardware, especially tensordata-movement patterns and tiling strategies.
- 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 engineeringproductivity.
- Background in CPUs and memory subsystems, GPUs, AI accelerators,networking and communications silicon, storage and data movementarchitectures, robotics and autonomous systems, automotive and advanceddriver-assistance systems (ADAS), aerospace and defense systems, real-timeand safety-critical computing, or functional safety architectures andmethodologies.
$200,000 - $500,000 a year
Compensation & Benefits
At Velaura, we believe exceptional talent deserves exceptional rewards. Compensationfor this role includes a competitive base salary, performance-based incentives, andequity participation, allowing team members to share in the company’s long-termsuccess.
Your base pay will depend on your skills, qualifications, experience, and location
In addition to compensation, Velaura offers a comprehensive benefits package that mayinclude medical, dental, and vision coverage; paid time off; flexible work arrangements;professional development opportunities; and other benefits designed to support thewell-being and growth of our team.
Velaura is committed to pay equity and transparency and regularly benchmarkscompensation to ensure we remain competitive in the market.
Why Velaura?
Velaura is building next-generation compute technology for cloud, edge, and PhysicalAI. Our solutions will enable robots, autonomous systems, drones, and other intelligentmachines to operate efficiently in the physical world.
This is an opportunity to help build foundational technology at a time when the industryis undergoing fundamental change. You will work alongside experienced leaders,architects, engineers, and operators who have delivered industry-defining productsacross 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.
Equal Employment Opportunity and Accommodations
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 orprotected 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 mentaldisabilities. Applicants who would like to contact us regarding the accessibility of ourwebsite or who need special assistance or a reasonable accommodation for any part ofthe application or hiring process may contact us at: careers@velaura.ai. This contact
information is for accommodation requests only. Evaluation of requests for reasonableaccommodation will be determined on a case-by-case basis.