Full-Time

Mixed Signal Design Engineer

Confirmed live in the last 24 hours

Normal Computing

Normal Computing

11-50 employees

Develops generative AI for enterprises

Enterprise Software
AI & Machine Learning

Junior, Mid

London, UK

Category
Electronics Design Engineering
Electrical Engineering
Required Skills
Verilog
Python
Perl
Requirements
  • Experience working on analog-to-digital and/or digital-to-analog converters that push the envelope in terms of performance, power consumption, accuracy, or area.
  • Proficiency with VerilogA for modeling analog and mixed-signal circuits and devices, and experience leveraging those models to deliver system-level performance estimates.
  • Experience in Verilog and/or SystemVerilog.
  • Experience in scripting languages, including Python, Perl, and/or TCL.
  • Proficiency with Cadence Virtuoso for design and layout of analog blocks.
  • Understanding of design and layout techniques to minimize mismatch and parasitics while maximizing performance.
  • Strong understanding of design for manufacturability, transistor mismatch, and yield.
  • Excellent communication skills and the ability to work well on a small, interdisciplinary team.
Responsibilities
  • You will play a key role in the entire development process of our silicon, from idea to architecture to implementation to tape-out.
  • Contribute new ideas for potential thermodynamic computing technologies and architectures.
  • Implement analog and mixed-signal components in Cadence Virtuoso, potentially including analog-to-digital converters, amplifiers, memory cells, and oscillators.
  • Perform layout, parasitic extraction, and optimization of Normal’s thermodynamic computing circuits.
  • Participate in the tape-out, bring-up, and testing of Normal’s silicon.

Normal Computing develops generative AI specifically for critical enterprise applications, focusing on large-scale enterprises like Fortune 500 companies in sectors such as semiconductor manufacturing, supply chain management, banking, and government. Their technology, based on Probabilistic AI, utilizes statistical analysis to predict outcomes, allowing businesses to have greater control over the reliability, adaptivity, and auditability of their AI models. This approach addresses the significant risks that have hindered AI adoption in these industries. Unlike many competitors, Normal Computing tailors its AI solutions to meet the specific needs of its clients, operating on a subscription or contract basis. The goal of Normal Computing is to mitigate risks associated with AI implementation, making it a more viable option for enterprises.

Company Stage

Grant

Total Funding

$80.7M

Headquarters

New York City, New York

Founded

2022

Growth & Insights
Headcount

6 month growth

27%

1 year growth

43%

2 year growth

411%
Simplify Jobs

Simplify's Take

What believers are saying

  • Selected for ARIA's £50M Scaling Compute Program, boosting funding and visibility.
  • Raised $8.5M in seed funding, supporting R&D and platform development.
  • Growing demand for energy-efficient AI solutions aligns with their thermodynamic AI focus.

What critics are saying

  • Rapid AI advancements may render their technology obsolete without continuous innovation.
  • Reliance on thermodynamic computing poses risks if it fails to deliver as promised.
  • Focus on large enterprises may limit market reach and expose to economic downturns.

What makes Normal Computing unique

  • Normal Computing uses Probabilistic AI for reliable, adaptive enterprise applications.
  • Their thermodynamic computer enhances AI reliability and controls, reducing hallucinations.
  • Founded by ex-Google Brain and X engineers, they have a strong AI pedigree.

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