ZipRecruiter

Log In

1

Information Entropy Jobs in California (NOW HIRING)

Stanford University

Biostatistician 2

Stanford, CA · On-site

$115K - $134K/yr

Application of causal inference methods such as entropy balancing, instrumental variables ... The Cardinal at Work website ( provides detailed information on Stanford's extensive range of ...

Stanford University

Biostatistician 2

Stanford, CA · On-site

$115K - $134K/yr

Duties include: • Application of causal inference methods such as entropy balancing, instrumental ... The Cardinal at Work website ( provides detailed information on Stanford's extensive range of ...

All JobsInformation Entropy JobsInformation Entropy Jobs in California

Information Entropy information

What is the difference between Information Entropy vs Data Analyst?

AspectInformation EntropyData Analyst
Required CredentialsMathematics, Information TheoryStatistics, Data Analysis Certifications
Work EnvironmentResearch, academia, tech companiesBusiness, finance, healthcare sectors
Industry UsageData compression, cryptography, information theoryData interpretation, reporting, decision-making

Information Entropy focuses on quantifying information content and uncertainty in data, often used in theoretical and technical contexts. Data Analysts interpret and visualize data to support business decisions. While both work with data, Information Entropy is more theoretical, whereas Data Analysts apply data insights practically in various industries.

What are popular job titles related to Information Entropy jobs in California?

For Information Entropy jobs in California, the most frequently searched job titles are:

What job categories do people searching Information Entropy jobs in California look for?

The top searched job categories for Information Entropy jobs in California are:

What cities in California are hiring for Information Entropy jobs?

Cities in California with the most Information Entropy job openings:

Information Entropy jobs near you
Infographic showing various Information Entropy job openings in California as of August 2026, with employment types broken down into 1% As Needed, 69% Full Time, 25% Part Time, and 5% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution.

Analog IC Layout Engineer

Neuralink

South San Francisco, CA • On-site

Full-time

Re-posted yesterday

Job description

Team Description:

The Brain Interfaces Soc Department delivers chip architecture and silicon implementation of neural recording and stimulation system-on-chip (SoC) for high-bandwidth brain-computer interfaces. We have crafted a team of exceptional engineers whose mission is to push the frontiers of what is possible today and define the future.

Job Description and Responsibilities:

We are looking for experienced and hands-on engineers with a creative and initiative mindset, who are interested in exploring the next-generation chip design with advanced architectures and hardware accelerators with a goal of enhancing the energy efficiency, information entropy, and scalability of our wireless brain-computer interfaces towards the physical limit of silicon technology. The ideal candidates are energetic people who get excited about building things, are highly analytical, and enjoy tackling new problems. You will have the opportunity to collaborate closely with chip designers, electrical engineers, algorithms engineers, and software engineers on a small, agile team. As an Analog IC Layout Engineer, your responsibilities will include:

  • Crafting state-of-the-art layouts for mixed-signal and analog circuits
    • Amplifiers
    • Filters
    • Switched capacitor circuits
    • Oscillators
    • Data converters
    • Power management circuits
  • Reviewing layout floorplans and analyzing high-fidelity circuits with circuit engineers
  • Physical verification of custom IC mask layouts (LVS, DRC, ERC)

Required Qualifications:

  • Bachelor of Science in Computer Engineering or related field
  • 2+ years of experience in analog and mixed-signal IC layout design
  • 1+ year experience with FinFET technologies
  • Ability to identify the best approach to solving problems

Preferred Qualifications:

  • Programming/scripting knowledge in SKILL, TCL, Shell, C/C++, and/or Python
  • Proven expertise in implementing analog and mixed-signal layout designs, achieving tight matching, low noise, and low power consumption
  • Understanding on failure-prone circuit and layout structures
  • Experience with analog DFM standards
  • Experience with layout P-cell design and implementation
  • Experience with layout automation 

Apply