Digital ASIC Design Engineer

job
  • AI Tech Suite
Job Summary
Location
California ,MO 65018
Job Type
Contract
Visa
Any Valid Visa
Salary
PayRate
Qualification
BCA
Experience
2Years - 10Years
Posted
15 Mar 2025
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Job Description

Blumind is a Canadian deep-tech startup developing all-analog AI neural network architecture for efficient power consumption without compromise. Their AMPL technology delivers high-performance inferencing with up to 1000x lower power than digital approaches and ultra-low latency. Applications include always-on audio and video inferencing, keyword detection, voice UI, time series data classification, visual wake word, and image classification. Their products include ultra-low power devices (BM110 and BM210), AMPL IP/chiplets, and software solutions for rapid deployment. Blumind targets various industries such as wearables, connected home, industrial, agriculture, medical, security & safety, smart mobility, and mil-aero.

Blumind offers all-analog AI solutions with ultra-low power, low latency, and cost-effective designs for various applications.

Qualifications:

BSEE or MSEE focused on Digital IC design

Experience Requirements:

  1. 7+ years and have completed at least 1 complete product design cycle
  2. Prior technical leadership and start-up work experience is a plus

Other Requirements:

  1. Expert Verilog, SystemVerilog, Perl, TCL and Python skills
  2. RTL design and verification at chip level and block level
  3. Experience working on mixed-signal ASIC developments with knowledge of how to interface with and verify mixed-signal blocks
  4. Low power design techniques such as clock gating, power islands etc.
  5. Experience with industry standard RTL simulation, lint, debug, synthesis, DFT/ATPG and static timing closure tools
  6. Evaluation and integration of 3rd party IP such as microcontrollers, IOs etc.
  7. Understanding of compute and AI processing architectures is preferred
  8. Customer support and/or silicon bring-up

Responsibilities:

Creating the novel Blumind machine learning inference engine and transforming Edge AI.

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