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Delos Data

Inference-optimized AI hardware and interconnects

ASIC Architect

Silicon & ASIC DesignConfirmed live in the last 24 hours
Full-timePalo Alto, CA, USAHybrid

About the Job

Requirements

  • A bachelor’s degree in Electrical Engineering, Computer Engineering, or Computer Science is required.
  • At least 7 years of experience in ASIC architecture, micro-architecture, or high-level design is required.
  • Strong proficiency in SystemVerilog or Verilog and C/C++ or SystemC for modeling is required.
  • Deep knowledge of computer architecture, including CPU/GPU cores, caches, fabric, and memory hierarchies, is required.
  • Experience with industry-standard protocols such as Ethernet, PCIe, or UAL is required.
  • Familiarity with EDA tools such as Synopsys Design Compiler, Cadence Genus, or similar is required.
  • Experience with performance modeling and analysis tools is required.

Responsibilities

  • Define, architect, and guide the development of next-generation, high-performance ASICs, translating high-level system requirements into detailed architectural specifications and balancing power, performance, and area trade-offs.
  • Define architecture for IP blocks, subsystems, and full SoC integration for advanced AI accelerators, networking, and datacenter computing workloads.
  • Lead the creation of Architectural Design Specifications and Micro-architecture Specifications for complex ASICs, including high-speed interconnect fabric and I/O protocols such as Ethernet, PCIe, and UCIe.
  • Develop high-level performance models using SystemC/TLM, C++, or Python to analyze workload behaviors and validate architectural assumptions.
  • Optimize chip-level and block-level architecture to meet power, performance, and area goals.
  • Partner with RTL design, verification, physical design, firmware, and software teams to ensure seamless implementation and validation.
  • Drive architectural trade-off studies and lead design reviews.
  • Define advanced power-management strategies, including DVFS, power domains, and clock gating.
  • Mentor junior engineers and contribute to technical leadership across the organization.

Desired Qualifications

  • A master’s degree or PhD in Electrical Engineering, Computer Engineering, or Computer Science is desired.
  • Experience designing AI/ML accelerators or high-performance networking silicon is desired.
  • A proven record of shipping high-performance silicon from concept to tape-out is desired.
  • Familiarity with pre-silicon emulation platforms is desired.
  • Strong scripting skills in Python, Tcl, or Perl for automation are desired.
  • The ability to articulate complex architectural concepts is desired.
  • Proactive problem-solving and the ability to work with minimal oversight are desired.
  • Strong leadership and mentorship capabilities are desired.

About the Company

Delos Data

Inference-optimized AI hardware and interconnects

Delos Data builds hardware and infrastructure optimized for AI inference in enterprise data centers, focusing on high‑performance servers and interconnects. It achieves this by engineering how compute is distributed and how memory is interconnected, using chiplet integration and advanced packaging, with architecture, design, and validation of dedicated networking and hardware plus software for real-time visibility. It differentiates itself by pursuing inference-specific needs instead of using components meant for HPC, cloud, or AI training, prioritizing low-latency interconnects and high memory bandwidth for always-on deployments. The goal is to provide reliable, scalable AI inference infrastructure with predictable performance and real-time monitoring at scale.

Company size
11-50
Company stage
Early VC
Total funding
$100M
Headquarters
Palo Alto, CA
Founded
2025

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