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Velaura

Designs energy-efficient AI silicon and systems

RTL Lead

Silicon & ASIC DesignConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaIn-person

About the Job

Requirements

  • 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.

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.

Desired Qualifications

  • 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.

About the Company

Velaura

Designs energy-efficient AI silicon and systems

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.

Company size
51-200
Company stage
Series A
Total funding
$424M
Headquarters
Santa Clara, CA
Founded
2022

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