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Math Computer Science Jobs in Sunnyvale, CA (NOW HIRING)

Cadence Design Systems Inc.

AI Engineer

San Jose, CA · On-site

$101K - $188K/yr

We use advanced math, computer science, graph theory and machine learning to solve the routing problem. Basic Requirements: Educational Background * BS/MS/Phd in Computer Science, Applied Mathematics ...

Bolt Graphics

Computational Scientist - FDTD

Sunnyvale, CA · On-site

$150K - $220K/yr

Advanced degree (Master's or PhD) in Physics, Mathematics, Computer Engineering, Computer Science, or a related field with a strong focus on computational electromagnetics. * FDTD Expertise: Strong ...

Cadence

Software Engineer II

San Jose, CA

$101K - $188K/yr

We use advanced math, computer science, graph theory and machine learning to solve challenging problems. Many of our customers (top semiconductor companies), government research agencies and ...

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All JobsMath Computer Science JobsMath Computer Science Jobs in Sunnyvale, CA

Math Computer Science information

See Sunnyvale, CA salary details

$26.4K

$69.1K

$110.9K

How much do math computer science jobs pay per year?

As of Jun 9, 2026, the average yearly pay for math computer science in Sunnyvale, CA is $69,054.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,800.00 and $82,200.00 per year, depending on experience, location, and employer.

What is the difference between Math Computer Science vs Data Scientist?

AspectMath Computer ScienceData Scientist
Required CredentialsDegree in Math, Computer Science, or related fieldsDegree in Statistics, Computer Science, or related fields
Work EnvironmentResearch labs, tech companies, academiaBusiness, tech firms, analytics teams
Employer & Industry UsageUniversities, research institutions, tech companiesCorporations, startups, consulting firms
Common Search & Comparison IntentUnderstanding technical roles, skills, and educationData analysis, modeling, and business insights

Math Computer Science focuses on theoretical and applied aspects of mathematics and computer science, often emphasizing algorithms, proofs, and computational theory. Data Scientists apply statistical and programming skills to analyze data, generate insights, and support decision-making. While both roles require strong analytical skills and programming knowledge, Math Computer Science leans more toward research and development, whereas Data Science is more business and application-oriented.

What are the key skills and qualifications needed to thrive as a Math Computer Scientist, and why are they important?

To thrive as a Math Computer Scientist, you need a strong background in mathematics, algorithms, programming, and typically a degree in computer science, mathematics, or a related field. Proficiency in programming languages such as Python, C++, or Java, and experience with mathematical software like MATLAB or Mathematica, are commonly required. Analytical thinking, problem-solving, and effective communication are essential soft skills for collaborating on complex projects and presenting findings. These skills are important to design efficient algorithms, solve computational problems, and contribute effectively to research and development in technology-driven environments.

How do professionals in Math Computer Science typically collaborate with other departments within an organization?

Professionals in Math Computer Science often work closely with teams such as data science, engineering, finance, and product development. Their strong analytical and programming skills enable them to design algorithms, optimize processes, and interpret data, which are essential for cross-functional projects. Regular collaboration may involve participating in meetings, contributing to code reviews, and providing mathematical insights to support decision-making. Building effective communication skills is important, as explaining complex concepts to non-technical colleagues is a common part of the role.

What are Math Computer Science jobs?

Math Computer Science jobs are roles that blend mathematics and computer science skills to solve complex problems, often involving algorithms, data analysis, software development, and mathematical modeling. Professionals in this field may work as data scientists, software engineers, cryptographers, quantitative analysts, or researchers. These jobs typically require strong analytical thinking, proficiency in programming languages, and a solid understanding of mathematical concepts. Industries such as technology, finance, healthcare, and academia frequently hire people with this background. These roles often involve designing efficient algorithms, analyzing large datasets, and creating models to predict outcomes or optimize processes.
What cities near Sunnyvale, CA are hiring for Math Computer Science jobs? Cities near Sunnyvale, CA with the most Math Computer Science job openings:
Math Computer Science jobs near you
Infographic showing various Math Computer Science job openings in Sunnyvale, CA as of June 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, 1% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $69,054 per year, or $33.2 per hour.
AI Engineer

AI Engineer

Cadence Design Systems Inc.

San Jose, CA • On-site

$101K - $188K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.

The Cadence Virtuoso platform powers all of the latest design innovations in consumer, mobile and enterprise electronics worldwide. We are looking for a passionate software developer to join Virtuoso place and route infrastructure team and improve our place route foundation. We use advanced math, computer science, graph theory and machine learning to solve the routing problem.

Basic Requirements:

Educational Background

  • BS/MS/Phd in Computer Science, Applied Mathematics, Data Science, or a related field.
  • Strongfoundation in machine learning, deep learning, and natural language processing (NLP) and LLM.

Technical Skills

  • Proficiency in Python and experience with frameworks like PyTorch, TensorFlow, SciKit, etc.
  • Basic understanding of Retrieval-Augmented Generation (RAG) and vector databases.
  • Comfortable working with LLM APIs and integrating them into applications.
  • A solid understanding of machine learning concepts (e.g., supervised/unsupervised learning, NLP, computer vision) and algorithms is crucial.
  • Proficiency in Python is essential. C++ also valuable.
  • Domain knowledge in analog circuits design and layout, and VLSI design flow is preferred

Problem-Solving & Collaboration

  • Ability to work in a fast-paced research and development environment.
  • Strong analytical thinking and debugging skills.
  • Experience with rapid prototyping in open-source AI/ML projects.

The annual salary range for California is $101,500 to $188,500. You may also be eligible to receive incentive compensation: bonus, equity, and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the salary range is a guideline and compensation may vary based on factors such as qualifications, skill level, competencies and work location. Our benefits programs include: paid vacation and paid holidays, 401(k) plan with employer match, employee stock purchase plan, a variety of medical, dental and vision plan options, and more.

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