Hardware Architect (Mountain View) Job at Acceler8 Talent, Mountain View, CA

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  • Acceler8 Talent
  • Mountain View, CA

Job Description

3 days ago Be among the first 25 applicants

This range is provided by Acceler8 Talent. Your actual pay will be based on your skills and experience talk with your recruiter to learn more.

Base pay range

$250,000.00/yr - $350,000.00/yr

Additional compensation types

Stock options

Direct message the job poster from Acceler8 Talent

Building North American Semiconductor and Photonic design teams

Excited about building the next generation of AI hardware?

Do you love seeing your architecture realized as working silicon?

Acceler8 Talent is seeking an experienced Hardware Architect to join a startup based in Mountain View that is developing high-performance data center accelerators for the largest AI models.

As part of this dynamic and world-class team, the Hardware Architect will play a pivotal role in shaping the architecture for huge AI workloads, working across all stages of the chip design process to take the hardware from architectural spec all the way through to working silicon.

Responsibilities:

  • Deliver performant silicon architectures at the subsystem and full-chip level.
  • As the architecture is completed, contribute to shipping the product (SW/HW co-design, uArch, verification, implementation, and bring-up).
  • Use SystemC models to simulate and validate architectural changes and optimize performance.
  • Work closely with micro-architects, designers, physical designers, verification engineers and system SW engineers to create working silicon.

Qualifications:

  • MSEE or PhD in Electrical/Computer Engineering with 10+ years silicon design and architecture.
  • Experience driving silicon architecture from concept to working silicon, taking ownership for key features at a subsystem and/or chip-level.
  • Experience writing SystemVerilog, Python, C/C++, Rust, or Bluespec.
  • Track record of delivering innovative features and techniques in chips and systems related to ML, compute, networking, storage and related areas in shipping products
  • Experience with debugging architectural issues at silicon and system level with partner teams across: design, validation, system engineering, software and field support

If you're interested in building the future of AI compute, look no further!

Seniority level

  • Seniority level

    Mid-Senior level

Employment type

  • Employment type

    Full-time

Job function

  • Job function

    Engineering, Research, and Science
  • Industries

    Computers and Electronics Manufacturing, Semiconductor Manufacturing, and Computer Hardware Manufacturing

Referrals increase your chances of interviewing at Acceler8 Talent by 2x

Inferred from the description for this job

Medical insurance

Vision insurance

401(k)

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Job Tags

Full time, Relocation,

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