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Quant Engineer Jobs in Seattle, WA (NOW HIRING)

Zoox

Senior Product Security Engineer - QRA

Seattle, WA · On-site

$217K - $307K/yr

Perform Quantitative Risk Assessment by quantifying security related safety risks, collaborating ... Interface with a multitude of engineering teams within Product Security as well as across software ...

Zoox

Senior Product Security Engineer - QRA

Seattle, WA

$217K - $307K/yr

Perform Quantitative Risk Assessment by quantifying security related safety risks, collaborating ... Interface with a multitude of engineering teams within Product Security as well as across software ...

F5, Inc.

Network Support Engineer II

Seattle, WA · On-site

$138K - $142K/yr

Master's degree (or its foreign degree equivalent) in Computer Science, Computer Networking, Technology, Engineering (any field) or a related quantitative discipline and three (3) years of experience ...

Ai2

Senior Research Engineer, Olmo + Molmo

Seattle, WA · On-site

$118K - $163K/yr

The Senior Research Engineer will be responsible for training Ai2's flagship open models, owning ... related quantitative field (or equivalent experience) • A minimum of 2 years of software ...

Ai2

Senior Research Engineer, Olmo + Molmo

Seattle, WA · On-site

$118K - $163K/yr

The Senior Research Engineer will be responsible for training Ai2's flagship open models, owning ... related quantitative field (or equivalent experience) • A minimum of 2 years of software ...

Ai2

Senior Research Engineer, Olmo + Molmo

Seattle, WA · On-site

$118K - $163K/yr

As a Senior Research Engineer, you will be responsible for training Ai2's flagship open models and ... related quantitative field (or equivalent experience) • A minimum of 2 years of software ...

Adobe

Data Science Engineer

Seattle, WA

$130K - $156K/yr

Degree ina quantitative fieldlike statistics, economics, applied math, operations research or engineering preferred, or related work experience * Knowledge of Microsoft Office, specifically Power ...

TekWissen LLC

Data Engineer III

Redmond, WA · On-site

$83/hr

Master's degree in a quantitative field such as statistics, mathematics, data science, engineering, or computer science * Experience in aerospace, manufacturing, test processes and/or test systems ...

Protingent

Materials Engineer

Bellevue, WA · On-site

$52 - $85/hr

Materials Engineer Position Description: Protingent Staffing has an exciting contract Materials ... Perform quantitative and statistical analysis on test data and generate technical reports to ...

City of Federal Way

Traffic Engineer

Federal Way, WA · On-site

$105K - $133K/yr

Reviews engineering plans for compliance with engineering standards and project requirements ... Where guidelines are not applicable or definitive, base decisions on qualitative and quantitative ...

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Showing results 21-40

All JobsQuant Engineer JobsQuant Engineer Jobs in Seattle, WA

Quant Engineer information

See Seattle, WA salary details

$43.2K

$103K

$171.3K

How much do quant engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for quant engineer in Seattle, WA is $103,035.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,400.00 and $113,800.00 per year, depending on experience, location, and employer.

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 Seattle, WA? For Quant Engineer jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Quant Engineer jobs in Seattle, WA look for? The top searched job categories for Quant Engineer jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Quant Engineer jobs? Cities near Seattle, WA with the most Quant Engineer job openings:
Quant Engineer jobs near you

Senior Product Security Engineer - QRA

Zoox

Seattle, WA • On-site

$217K - $307K/yr

Full-time

Medical, Life, PTO

Posted 7 days ago

Job description

The Product Security Threat Analysis and Security Standards team is responsible for conducting structured security analyses of Zoox products and applying security standards judiciously throughout the System Development Life Cycle at Zoox. In this role, you'll bring a robust background in systems engineering, coupled with a demonstrated passion and concrete expertise in cybersecurity.
You should possess proven skills in translating your analysis into high-quality written deliverables. Additionally, you should have a demonstrated ability to identify and evaluate threats across both wireless and wired communication channels in automotive systems.
In this role, you will:
  • Perform Quantitative Risk Assessment by quantifying security related safety risks, collaborating with cross functional teams particularly safety teams to ensure alignment with safety and security objectives while supporting risk-informed engineering decisions.
  • Carry out security analysis, threat modeling, and risk assessment for a complex product ecosystem consisting of a custom-designed and built vehicle fleet as well as a portfolio of cloud services.
  • Define cybersecurity requirements and maintain a catalog of cybersecurity controls to establish secure baselines.
  • Interface with a multitude of engineering teams within Product Security as well as across software and hardware engineering. Build and maintain a strong understanding of the underlying engineering constraints and factor that understanding into the analysis and recommendations.
  • Analyze existing and emerging standards in cybersecurity (both general and domain-specific) and distill the analysis into a plan for adoption that is well-grounded and focused on tangible business impact.

Qualifications
  • Master's degree in CS or related engineering field (software, hardware, systems) and 7+ years of experience
  • A strong general systems engineering background along with a demonstrated passion and concrete expertise in cybersecurity
  • Prior experience with quantitative risk assessment frameworks (eg: EPSS, Attack trees/graph quantification, Monte Carlo simulations, Bayesian networks)
  • Prior experience with the security analysis of complex embedded systems and a demonstrated skill in turning the analysis into high-quality written deliverables
  • Pragmatic adoption of AI/LLM toolchains for security analysis and authoring high quality regulatory work products

Bonus Qualifications
  • Direct, demonstrated experience with (including the practical application of) ISO 21434, UNECE R155, NIST CSF, SOC2 Type2 (and similar frameworks and standards) will be considered an advantage.
  • Experience with the security analysis of complex cyber-physical systems and automotive Systems on Chips (SoCs), including on-chip security features and various onboard communication interfaces (e.g., UDS, JTAG, CAN/LIN, I2C, SPI)
  • Familiarity with common cloud deployment architecture and frameworks

$217,000 - $307,000 a year
Base Salary Range
There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.
Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.
About Zoox
Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We're looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.
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Accommodations
If you need an accommodation to participate in the application or interview process please reach out to [email protected] or your assigned recruiter.
A Final Note:
You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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