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Quant Engineer Jobs in California (NOW HIRING)

SpaceXAI

Analytics Engineer - X

San Francisco, 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

San Jose, 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 · On-site

$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

PIMCO

Quantitative Research Analyst

Newport Beach, CA · On-site

Strong programming skills and numerical problem-solving techniques; proficiency with Python with a preference for experience with high frequency data * Excellent analytical and quantitative skills ...

PIMCO

Quantitative Research Analyst

Newport Beach, CA · On-site

Strong programming skills and numerical problem-solving techniques; proficiency with Python with a preference for experience with high frequency data * Excellent analytical and quantitative skills ...

Poesis

Head of Engineering

San Francisco, CA · On-site

$250K - $280K/yr

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 ...

Poesis

Engineering Lead, Agents

San Francisco, CA · On-site

$180K - $280K/yr

We're looking for an experienced software engineer to help lead our agent engineering efforts. As ... Experience working directly with researchers or quantitative developers as a technical partner

Hudson River Trading

Research Engineer

London, CA

Hudson River Trading (HRT) is a quantitative trading firm at the forefront of technological ... These roles require exceptional programming fundamentals, a strong user focus, and the ability to ...

Waymo

Safety Engineer

San Diego, CA · Hybrid

An advanced degree in Computer Science, Robotics, Engineering or other relevant technical field OR 4 years of practical experience involving safety risk assessments and quantitative statistical ...

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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.

Analytics Engineer - X

SpaceXAI

San Francisco, CA

$180K - $440K/yr

Full-time

Posted yesterday

New

SpaceX rating

8.8

Company rating: 8.8 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

15th of 72 rated aerospace companies

Job description

SpaceXAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.

ABOUT THE ROLE:

We are seeking a skilled Analytics Engineer to build and maintain robust data systems that enable high-impact quantitative analysis and business decision-making. This role combines strong software engineering practices with expertise in large-scale data processing and advanced analytical methods to deliver reliable, scalable solutions across the organization. This is an opportunity to work on mission-critical systems that power quantitative decision-making at global scale.

RESPONSIBILITIES:
  • Design, implement, and optimize end-to-end data pipelines for processing high-volume datasets using tools such as Spark, Kafka, Flink, etc.
  • Develop quantitative models and statistical frameworks to support experimentation, forecasting, and performance measurement.
  • Build and maintain data infrastructure that ensures data quality, consistency, and accessibility for analytical workflows.
  • Collaborate with product engineering, product, and operations teams to translate business requirements into production-grade data systems and insights.
  • Conduct A/B tests, causal analysis, and performance evaluations to drive measurable improvements in key metrics.
  • Implement monitoring, alerting, and automation for data systems to support real-time decision support.
  • Mentor team members on best practices for scalable data engineering and quantitative problem-solving.
BASIC QUALIFICATIONS:
  • 4+ years of experience building production data pipelines and infrastructure at scale.
  • Strong proficiency in Python, SQL, and distributed computing frameworks (e.g., Spark, Flink, Hadoop).
  • Demonstrated expertise in statistical methods, predictive modeling, hypothesis testing, and experimental design.
  • Solid understanding of cloud services for data storage, processing, and orchestration.
  • Bachelor's or Master's degree in Computer Science, Statistics, Applied Mathematics, or related quantitative field.
  • Excellent problem-solving skills with a focus on delivering business impact through reliable systems
PREFERRED SKILLS AND EXPERIENCE:
  • Prior work in consumer technology, or social media domains.
  • Experience with real-time streaming systems and low-latency data processing.
  • Contributions to open-source data tools or publications on large-scale analytics systems.
  • Track record of reducing operational costs or improving system efficiency through data optimizations.
  • Have the ability to bridge engineering excellence with rigorous analytical approaches.
COMPENSATION AND BENEFITS:

$180,000 - $440,000 USD

Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.

SpaceXAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

What SpaceX employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About SpaceX

Sourced by ZipRecruiter

Industry

Aerospace product and parts manufacturing, data services, guided missile and space vehicle manufacturing and satellite telecommunications

Company size

1,001 - 5,000 Employees

Headquarters location

Hawthorne, CA, US

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