C

CScale

Optical interconnects for large-scale AI infrastructure

Emulation Prototyping Engineer

Hardware Validation & TestingConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

  • Strong exposure to emulation platforms: Cadence Palladium, Synopsys ZeBu, or Mentor Veloce.
  • Strong proficiency in C/C++ and RTL partitioning for emulation platforms.
  • Ability to drive validation activities, including bootloader bring-up and execution of real-world workloads.
  • Experience with waveform analysis, transaction-level debugging, and log parsing.
  • Experience with emulation and virtual models, and FPGA prototyping.

Responsibilities

  • Define emulation methodology for data center SoCs with CPU, network-on-chip/crossbar, Ethernet, and high-speed I/O.
  • Develop partitioning strategies, set up emulation environments using Palladium, Veloce, or ZeBu, and partition RTL for hardware-based platforms.
  • Port large-scale SoCs and IPs onto emulators, bring up the platform, and debug interface and functional issues involving firmware and hardware.
  • Integrate and develop synthesizable monitors/checkers, VIP transactors, and network-on-chip bridges for MAC/PHY and DDR.
  • Prototype emulation for bootloader bring-up, SoC configuration, first power-on sequences, clock/reset validation, and strap/fuse programming.
  • Own stress testing and data-path completeness, including Ethernet PHY/MAC link bring-up and loopback tests; validate DMA descriptors and interrupts.
  • Automate emulation regression flows using TCL, Python, and Perl scripting, and optimize for coverage and debug time.
  • Collaborate with verification, firmware, software, and architecture teams on pre-silicon validation and bring-up.

Desired Qualifications

  • Understanding of SystemVerilog/UVM, SVA, and coverage-driven verification.
  • Python/TCL scripting experience and post-silicon bring-up experience.

About the Company

CScale

Optical interconnects for large-scale AI infrastructure

CScale builds optical interconnects for large-scale AI computing. Its integrated light engines power gigawatt-scale AI facilities by containing optical failures and keeping compute running across thousands of closely connected accelerators. The hardware provides high-bandwidth, ultra-low-latency optical links to connect accelerators across racks, making data movement between chips dependable for continuous AI workloads. Unlike many data-center components that rely on electronic signaling, CScale focuses on silicon photonics and photonic hardware to deliver scalable, reliable communication at scale. Founded in 2023 in Palo Alto, the company exited stealth in 2026 and has investors including NVIDIA and Intel Capital. Its goal is to enable uninterrupted AI training and inference across large AI infrastructure by delivering dependable optical interconnects that scale as data-center needs grow.

Company size
51-200
Company stage
Series C
Total funding
$145M
Headquarters
Palo Alto, CA
Founded
2023

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