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Velaura

Designs energy-efficient AI silicon and systems

Senior Emulation Engineer

Hardware Validation & TestingConfirmed live in the last 24 hours
Full-timeSanta Clara, CA, USA$200k - $300k /yr

About the Job

Requirements

  • At least 10 years of experience in hardware emulation and/or verification of complex digital systems.
  • Hands-on experience setting up emulation flows on Palladium, Veloce, or Zebu.
  • Ability to debug compile and elaboration issues on emulation platforms.
  • Demonstrated ability to set up and optimize emulation regression flows for faster turnaround.
  • Strong grasp of computer, micro-, and SoC architecture and digital design fundamentals.
  • Solid understanding of CDC, clocking, and reset behavior in emulation bring-up.
  • Experience with SystemVerilog, UVM, C/C++, transactors, and assertions.
  • Understanding of memory systems, interconnects, caches, DMA engines, processors, or accelerators.
  • Experience debugging complex system-level issues across hardware and software.
  • Strong scripting and automation skills for build, regression, and CI pipelines.
  • Ability to work effectively in a multidisciplinary team.

Responsibilities

  • Set up, own, and maintain emulation flows for the SoC on Palladium, Veloce, and/or Zebu.
  • Bring up designs on the emulator and resolve compile/elaboration, capacity/partitioning, and design-mapping issues.
  • Build and maintain regression flows, optimizing compile time, run time, throughput, and capacity utilization.
  • Support hardware/software co-verification and pre-silicon software bring-up, including firmware, drivers, runtime, and operating systems.
  • Optimize on-emulator debugging, including waveform capture, triggers, and visibility, and drive fast root-cause analysis across hardware and software.
  • Verify performance, latency, bandwidth, quality of service, and real-time behavior under representative workloads.
  • Partner with architects, RTL, and verification engineers on emulation strategy, transactor requirements, and coverage goals.
  • Emulate compute engines, memory subsystems, interconnect fabrics, control processors, DMA engines, and other core SoC infrastructure.
  • Build automation, scripting, and continuous integration hooks for compile and regression pipelines.
  • Contribute to FPGA prototyping, pre-silicon validation, and post-silicon debugging.
  • Apply modern tools, including AI-assisted verification and debugging, to improve productivity, quality, and coverage.
  • Contribute to technical excellence and continuous improvement.

Desired Qualifications

  • Experience with design partitioning, capacity optimization, and multi-FPGA or multi-board emulation scaling.
  • Experience with FPGA prototyping and pre-silicon software bring-up environments.
  • Experience with hardware/software co-verification and system-level validation.
  • Familiarity with low-power methodologies and their verification/emulation criteria.
  • Experience with artificial intelligence, machine learning, or edge AI hardware.
  • Familiarity with robotics, drones, autonomous vehicles, or industrial automation systems.
  • Experience verifying or emulating quality-of-service, latency-sensitive, or real-time systems.
  • Exposure to performance modeling, profiling, and workload characterization.
  • Experience with one or more of the following standards: ISO 26262, IEC 61508, IEC 61511, or ISO 13849.
  • Experience using modern AI tools and workflows to accelerate engineering productivity.
  • Background in CPUs, GPUs, AI accelerators, networking and communications silicon, storage and data movement architectures, robotics and autonomous systems, automotive and ADAS platforms, aerospace and defense systems, real-time and safety-critical computing, or functional safety architectures and methodologies.

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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