IC Physical Design Engineer (India)

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2 Locations
In-Office
Hardware • Software
The Role

Physical Design Engineer

Summary

Join an ambitious and highly experienced team of silicon and hyperscale data center systems experts as a Physical Design Engineer. Our team is motivated by a singular mission: to revolutionize the performance and scalability of next-generation distributed computing infrastructure. You have the opportunity to build a groundbreaking new category of product, working alongside some of the industry's most talented hardware and software engineers to create truly disruptive infrastructure solutions that delight our customers.

We are looking for talented, motivated engineers with experience in physically implementing large-scale networking and computing semiconductor products, and who are looking to grow in a fast paced, dynamic startup environment. We are looking for experienced physical design engineers who have the range to contribute across the full lifecycle of complex chip development, from CAD tool flow setup, early floorplan exploration in conjunction with microarchitecture development, through block partitioning, power planning, clock network design and construction, through P+R, timing closure, package design, PI/SI analysis, physical verification, and tapeout.
This role is based in India in either Hyderabad or Bangalore. Hybrid/remote is supported but preference will be for candidates who are capable of regular in-office participation in either of the above locations.

Roles and Responsibilities

  • Build and support the CAD tool flow for physical implementation in a cloud-first development environment.
  • Work with architects and microarchitects on the chip-level floorplan and block partitioning.  Evaluate tradeoffs in functional partitioning, block size, and interface complexity with other stakeholders.
  • Define and construct the major physical structures, including the clock and reset architecture, the power delivery network, and interconnect topologies.
  • Execute on block-level, cluster-level, and top-level physical implementation, from synthesis, floorplan and power plan, through P+R, through timing closure, physical verification, and tapeout.
  • Interface with foundry and library partners on 3rd party IP and process technology issues, including updates to device models, IP integration requirements, and pre-tapeout signoff.

Skills/Qualifications:

  • Proven industry experience and successful track record in the physical implementation of large,  high-performance network switching/routing fabrics (Ethernet, Infiniband, HPC), Network Interface Controllers, Smart-NICs, CPUs, or GPUs in the latest silicon process nodes.
  • Deep experience with the latest CAD tools through the entire physical design workflow, e.g., Cadence Genus and Innovus, Synopsys ICC2/FusionCompiler, Tempus, PrimeTime SI, PrimeTime PX, StarRC, ICV, Calibre.
  • Strong familiarity with various analysis tools such as Redhawk, Voltus.
  • Experience with circuit analysis using HSPICE is a plus.
  • Expert knowledge of SystemVerilog, as well as Perl, Python or other scripting languages.
  • Minimum BSEE/CE + 10 years or MSEE/CE + 5 years experience.
  • Proven track record of execution on products which have shipped in high-volume.

Company Background

We are a well-funded, stealth-mode startup based in Mountain View, CA, founded by senior technical and business executives hailing from category leaders in infrastructure semiconductors and hyperscale cloud services, and backed by top-tier investors with an immensely successful formula & track record on early-stage investments. We are a diverse team of expert chip/software/systems architects and developers who excel in hardware/software solution co-design. Our team has built, and delivered into production, technologies that process over half of the world's global data center traffic.

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The Company
HQ: Mountain View, CA
77 Employees
Year Founded: 2019

What We Do

We develop groundbreaking hardware, software, and system technologies that solve the critical bottlenecks in next-generation computing workloads - at any scale - across hyperscale cloud, edge, enterprise, 5G/6G, and automotive infrastructure.

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