Full-Time

IC 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

Entry

London, UK

Category
Hardware Engineering
Electronic Hardware Engineering
Hardware Validation & Testing
Required Skills
Verilog
Python
Perl
FPGA
Requirements
  • 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.
  • Understanding of transistor mismatch, yield, and design for manufacturability.
  • Experience in Verilog and/or SystemVerilog.
  • Understanding of best practices of testbench design.
  • Experience in scripting languages, including Python, Perl, and/or TCL.
  • 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 and testing.
  • Contribute new ideas for potential thermodynamic computing technologies and architectures.
  • Implement analog and mixed-signal components in Cadence Virtuoso, potentially including amplifiers, memory cells, and oscillators.
  • RTL design of digital components on our ASICs and in our FPGA test harness, potentially including serial and parallel interface controllers, signal processing algorithms, and calibration algorithms.
  • Support physical implementation of digital logic on ASICs and FPGAs using Cadence and Xilinx tools, respectively.
  • 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

46%

1 year growth

46%

2 year growth

487%
Simplify Jobs

Simplify's Take

What believers are saying

  • Normal Computing's innovative technology could lead to widespread adoption among Fortune 500 companies, significantly boosting revenue and market presence.
  • Their focus on risk management in AI applications makes them highly attractive to industries that have been hesitant to adopt AI due to potential risks.
  • The strong background of the founding team enhances credibility and attracts top-tier talent, fostering a culture of innovation and excellence.

What critics are saying

  • The high level of customization required for each client could limit scalability and strain resources.
  • Operating in a rapidly evolving AI market means Normal Computing must continuously innovate to stay ahead of competitors.

What makes Normal Computing unique

  • Normal Computing leverages Probabilistic AI to offer unprecedented control over AI model reliability, adaptivity, and auditability, setting it apart from traditional AI solutions.
  • The company's founders come from elite backgrounds at Google Brain, Palantir, and X, providing a strong pedigree and deep expertise in AI.
  • Normal Computing focuses on high-risk industries like semiconductor manufacturing and banking, where their risk-mitigating AI solutions are particularly valuable.

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