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Quant Engineer Jobs in California (NOW HIRING)

Jobtailor

Head of Engineering

San Francisco, CA · On-site

$180 - $240/hr

Partner closely with researchers, quantitative developers, and leadership to translate research into production * Define and evolve engineering processes that allow the team to ship quickly, reliably ...

PIMCO

Quantitative Research Analyst

Newport Beach, CA · On-site

PhD preferred * 2-5 years of relevant experience as a commodity quant supporting a sell-side ... Advanced programming ability in Python with experience delivering reliable analytical or research ...

PIMCO

Quantitative Research Analyst

Newport Beach, CA · On-site

PhD preferred * 2-5 years of relevant experience as a commodity quant supporting a sell-side ... Advanced programming ability in Python with experience delivering reliable analytical or research ...

SpaceXAI

Analytics Engineer - X

Palo Alto, CA

$180K - $440K/yr

Develop quantitative models and statistical frameworks to support experimentation, forecasting, and ... Collaborate with product engineering, product, and operations teams to translate business ...

New

SpaceXAI

Analytics Engineer - X

Palo Alto, CA

$180K - $440K/yr

Develop quantitative models and statistical frameworks to support experimentation, forecasting, and ... Collaborate with product engineering, product, and operations teams to translate business ...

New

SpaceXAI

Analytics Engineer - X

Mountain View, CA

$180K - $440K/yr

Develop quantitative models and statistical frameworks to support experimentation, forecasting, and ... Collaborate with product engineering, product, and operations teams to translate business ...

New

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Showing results 21-40

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Quant Engineer information

What is the salary of a quant engineer?

The salary of a quant engineer typically ranges from $100,000 to $200,000 annually, with higher compensation for those with advanced degrees, extensive experience, or specialized skills in programming languages like Python or C++. In addition to base salary, many quant engineers receive bonuses and performance incentives, especially in financial firms or hedge funds.

What are the key skills and qualifications needed to thrive as a quant engineer, and why are they important?

To thrive as a Quant Engineer, you need strong quantitative and programming skills, typically supported by a degree in mathematics, physics, computer science, or a related field. Proficiency in programming languages such as Python, C++, or Java, as well as familiarity with statistical analysis tools and financial modeling systems, is essential. Analytical thinking, problem-solving abilities, and effective communication distinguish top performers in this role. These skills enable Quant Engineers to develop robust models and algorithms that drive accurate trading strategies and risk management in fast-paced financial environments.

What is a quant engineer?

Quant Engineers, or quantitative engineers, are professionals who apply mathematical models, statistical techniques, and computer programming to solve complex problems in finance and related industries. They often work on designing trading algorithms, risk management tools, and pricing models for financial instruments. Quant Engineers typically have strong backgrounds in mathematics, computer science, and finance, and are skilled in programming languages such as Python, C++, or R. Their work helps financial firms make data-driven decisions and optimize strategies in highly competitive markets.

What is the difference between Quant Engineer vs Quant Analyst?

AspectQuant EngineerQuant Analyst
Required CredentialsDegree in Math, Finance, or Computer Science; often requires programming skillsDegree in Finance, Economics, or Math; less emphasis on programming
Work EnvironmentDevelops models, algorithms, and software tools for trading and risk managementAnalyzes data, interprets models, and provides insights for trading strategies
Employer & Industry UsageFinancial firms, hedge funds, investment banksFinancial firms, asset management, hedge funds

While both roles involve quantitative analysis, Quant Engineers focus on building and implementing models and software, whereas Quant Analysts primarily analyze data and interpret models to inform trading decisions. The roles often overlap but differ in technical depth and responsibilities.

How do quant engineers typically collaborate with traders and other team members to develop and implement trading strategies?

Quant Engineers work closely with traders, researchers, and software developers to design, test, and refine quantitative trading models. They often translate mathematical models into efficient code, analyze large datasets, and ensure strategies are both robust and scalable for real-time trading environments. Frequent communication is key, as Quant Engineers must gather requirements from traders, iteratively backtest ideas, and adapt models based on feedback and market changes. This collaborative process helps ensure strategies are both scientifically sound and practically viable for deployment.

What are popular job titles related to Quant Engineer jobs in California?

For Quant Engineer jobs in California, the most frequently searched job titles are:

What job categories do people searching Quant Engineer jobs in California look for?

The top searched job categories for Quant Engineer jobs in California are:

What cities in California are hiring for Quant Engineer jobs?

Cities in California with the most Quant Engineer job openings:

Quant Engineer jobs near you
Infographic showing various Quant Engineer job openings in California as of August 2026, with employment types broken down into 88% Full Time, 5% Part Time, 2% Temporary, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.

Senior Software Engineer, Statistical Evaluation and Sampling

Waymo

Mountain View, CA • On-site

$204K - $259K/yr

Full-time

Re-posted 23 days ago

Job description

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.
Waymo's Release Evaluation org ensures that each version of the Waymo Driver is safe before it hits the road. We build automated pipelines to solve the long tail of rare and exceptional scenarios in autonomous driving, looking for needles in a haystack under both time and resource constraints. Within Release Evaluation, the Sampling and Efficiency team applies importance sampling techniques and machine learning to maximize the statistical efficiency of these discovery pipelines.
You will:
  • Develop importance sampling techniques that enable our evaluation pipelines to deliver better signals with fewer resources.
  • Find signals in our logs and simulations that might help us to more efficiently discover rare and important events.
  • Build systems that systematically optimize multiple objectives under resource constraints.
  • Collaborate with other engineers, data scientists, statisticians and the leadership team to deliver evaluation products and help make data driven decisions.
  • Champion code health and best practices in a large and complex code base

You have:
  • BS in Computer Science, Robotics, Statistics, Physics, Math or another quantitative area
  • Fluency with probability and statistics
  • Strong self-motivation to navigate complex systems and pursue open-ended problems to completion
  • 5+ years of experience with
    • Navigating and modifying a large code base containing a variety of languages, such as C++, Python and SQL
    • Performing statistical analyses
    • Building data processing pipelines
    • Writing, reviewing, and merging code following industry standards for code health and maintainability

We prefer:
  • 7+ years of industry experience (or 3+ years post-doc experience) in a quantitative engineering role. This includes a proven track record as a technical lead navigating complex, multi-language codebases (C++, Python, SQL) to drive the end-to-end experimental lifecycle: developing hypotheses, designing and executing large-scale experiments, and building robust data pipelines
  • Experience programming in C++
  • Experience developing and evaluating sampling methods
  • Experience designing, training, evaluating, and applying ML models
  • Experience working in the AV industry
  • PhD in a quantitative field

The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.
Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.
Salary Range
$204,000-$259,000 USD

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