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Syntiant

Edge AI processors and scalable models

Physical Design Engineer

Silicon & ASIC DesignConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

  • An advanced degree in electronics engineering and at least 5 years of experience in physical design and implementation.
  • Expertise in the complete RTL-to-GDSII flow and industry-standard electronic design automation tools for physical design and timing signoff, focused on improving performance, power, and area.
  • Knowledge of physical-design standards and practices, including physically aware synthesis, floor-planning, place and route, metal fill, chip finishing, signal-integrity checks, static and dynamic EMIR-Drop analysis, and formal ESD verification.
  • Experience building chip floorplans, including partitions and power grids.
  • Experience with signoff ECO flows to fix timing, noise, IR-Drop, and EMIR violations.
  • Experience debugging and fixing chip- or block-level LVS, DRC, and PERC issues using industry-standard physical-design verification tools.
  • Experience with UPF flow.
  • Experience communicating with foundries on tape-out forms and checks, including jobview.
  • Experience with package and RDL routing design.
  • Experience with programming and scripting languages such as Python, Perl, and Tcl.

Responsibilities

  • Drive next-generation physical design work to achieve best-in-class PPA for next-generation ASICs.
  • Implement the RTL-to-GDSII physical-design flow, including synthesis, pad ring, floorplan, placement, clock-tree synthesis, detailed routing and optimization, and physical signoff verification.
  • Work with the physical verification team to clean up layout violations.
  • Work with the foundry to complete tape-out-related forms and checks.

Desired Qualifications

  • Experience with scan insertion and ATPG pattern generation.
  • Experience with power-analysis flows.

About the Company

Syntiant

Edge AI processors and scalable models

Syntiant creates edge AI hardware and software that run deep learning models on-device in power-limited products. Its Neural Decision Processors and scalable neural models are designed to operate in compute-constrained environments and can run on a wide range of hardware—from the smallest MCUs to large GPUs—without relying on cloud servers. This lets devices like smart home gear, cars, personal devices, and industrial products perform intelligent tasks locally, saving battery power and reducing cloud costs. Syntiant differentiates itself by offering hardware-agnostic, scalable ML models that deliver much higher efficiency and throughput for edge inference across diverse platforms. The company’s goal is to enable practical on-device AI across multiple industries, improving user experience while lowering energy usage and cloud dependence.

Company size
201-500
Company stage
Late Stage VC
Total funding
$120.1M
Headquarters
Irvine, CA
Founded
2017

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