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Quant Developer Internship Jobs in Seattle, WA (NOW HIRING)

Performance Modeling Engineer ~2

Seattle, WA ยท On-site

$293K - $385K/yr

Strong analytical and problem-solving skills with comfort working in quantitative environments ... Internship or early professional experience in performance engineering, infrastructure, or systems ...

Project Engineer

Bothell, WA ยท On-site

$80K - $90K/yr

Perform internal training relative to operations as needed for Sales, PM interns and PC'S. * Assist ... Strong quantitative analysis and critical thinking skills . * Ability to learn the specifications ...

Project Engineer

Bothell, WA ยท On-site

$80K - $90K/yr

Perform internal training relative to operations as needed for Sales, PM interns and PC'S. * Assist ... Strong quantitative analysis and critical thinking skills. * Ability to learn the specifications ...

... quantitative field. Some opportunities may require a specific degree level, area of study or ... Relevant experience can come from coursework, research, internships, placements, personal projects ...

... interns in the areas of natural language processing, natural language generation, and deep learning ... engineers to solve and contribute to the innovative products we are building. You will be ...

The internship is structured to provide a blend of research, analysis, and practical application ... Ability to research, analyze, and succinctly report qualitative and quantitative results * Ability ...

... using quantitative approaches * Experience building large-scale machine learning systems and ... Demonstrated software engineer experience via an internship, work experience, coding competitions ...

The internship is structured to provide a blend of research, analysis, and practical application ... Ability to research, analyze, and succinctly report qualitative and quantitative results * Ability ...

Showing results 21-40

Quant Developer Internship information

What is a quant developer internship?

A Quant Developer Internship is a temporary position, usually for students or recent graduates, that offers hands-on experience in quantitative finance and software development. Interns work with quantitative analysts and developers to design, implement, and optimize financial models and trading algorithms. The role typically involves programming, data analysis, and collaborating with other teams to solve real-world financial problems. This internship is an excellent opportunity for those interested in combining finance, mathematics, and computer science in a professional setting.

What are the key skills and qualifications needed to thrive as a quant developer intern?

To thrive as a Quant Developer Intern, you need a strong background in mathematics, statistics, and programming, typically demonstrated through a degree in quantitative fields like computer science, mathematics, or engineering. Familiarity with programming languages such as Python, C++, or Java, and experience using financial modeling tools or libraries are highly valued. Analytical thinking, attention to detail, and effective communication are critical soft skills for collaborating with teams and interpreting complex data. These skills and qualities are essential for developing robust quantitative models and contributing effectively to quantitative research and trading strategies.

What are some common challenges faced during a quant developer internship, and how can interns overcome them?

Quant Developer Interns often encounter challenges such as adapting to complex financial models, working with large datasets, and mastering specialized programming languages like Python or C++. To overcome these, interns should proactively seek guidance from senior team members, participate in regular code reviews, and allocate time to strengthen their understanding of both financial concepts and software development best practices. Collaboration and open communication within the team are crucial for navigating technical obstacles and successfully delivering project tasks.

What is the difference between Quant Developer Internship vs Quant Analyst Internship?

AspectQuant Developer InternshipQuant Analyst Internship
Required CredentialsTypically pursuing or holding a degree in Computer Science, Mathematics, or related fieldsUsually pursuing or holding a degree in Finance, Economics, or related fields
Work EnvironmentHands-on coding, software development, and algorithm implementationData analysis, financial modeling, and strategy development
Employer & Industry UsageUsed in hedge funds, investment banks, and trading firms focusing on technology-driven rolesCommon in asset management firms, hedge funds, and financial institutions focusing on market analysis

While both internships involve finance and quantitative skills, Quant Developer Internships focus more on programming and software development, whereas Quant Analyst Internships emphasize financial analysis and modeling. Candidates should choose based on their strengths in coding versus financial analysis.

Is it hard to get a quant developer internship?

Securing a quant developer internship is competitive due to high demand for strong programming skills in languages like Python, C++, and MATLAB, as well as a solid understanding of mathematics and finance. Candidates often need relevant coursework, prior experience, and strong problem-solving abilities to stand out in the application process.

What are the most commonly searched types of Quant Developer jobs in Seattle, WA?

The most popular types of Quant Developer jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Quant Developer Internship jobs?

Cities near Seattle, WA with the most Quant Developer Internship job openings:

Infographic showing various Quant Developer Internship job openings in Seattle, WA as of September 2026, with employment types broken down into 87% Full Time, and 13% Part Time. Highlights an 87% In-person, and 13% Remote job distribution.

Performance Modeling Engineer ~2

Seattle, WA โ€ข On-site

OpenAI
Scientific Research and Development Servicesย โ€ขย 201 - 500 employees

$293K - $385K/yr

Full-time

Re-posted 22 days ago


Job description

About the Team
OpenAI's Hardware organization develops system and infrastructure solutions designed for the unique demands of advanced AI workloads. We work closely with architecture, infrastructure, and vendor teams to evaluate system performance and guide critical design decisions.
Our team focuses on building and applying performance modeling frameworks to understand system behavior, quantify tradeoffs, and support next-generation infrastructure design.
About the Role
We are seeking an Performance Modeling Engineer to support the development and application of modeling tools used to evaluate AI system performance and inform architectural decisions.
In this role, you will partner closely with Senior Performance Modeling Engineers and the Performance Modeling Lead to analyze system behavior, run simulations and analytical models, and help evaluate tradeoffs across compute, memory, networking, and storage. You will contribute to building modeling frameworks while developing a strong foundation in system architecture and AI infrastructure.
This role is ideal for early-career engineers with 1-2 years of experience in software engineering, systems analysis, or performance modeling who are excited to grow in large-scale infrastructure and hardware/software systems.
This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance.
Key Responsibilities
  • Support the development and maintenance of performance modeling tools and frameworks
  • Assist in building models to evaluate system behavior across compute, memory, networking, and interconnect subsystems
  • Help analyze distributed system scaling behavior and identify performance bottlenecks
  • Run simulations and analytical models to support architecture and infrastructure decisions
  • Partner with senior engineers to evaluate design tradeoffs across hardware and system components
  • Interpret modeling outputs and help translate findings into clear recommendations
  • Validate models using benchmarking data and real system performance measurements
  • Improve modeling workflows, documentation, and usability for broader team adoption
  • Collaborate cross-functionally with hardware, infrastructure, and architecture teams
  • Continuously build technical depth across AI infrastructure, system architecture, and performance analysis

Qualifications
  • 1-2 years of experience in software engineering, systems modeling, performance analysis, or related technical work
  • Strong programming skills and experience building technical tools, scripts, or frameworks
  • Familiarity with system architecture fundamentals such as compute, memory, and networking
  • Ability to reason about system performance, bottlenecks, and scaling behavior
  • Strong analytical and problem-solving skills with comfort working in quantitative environments
  • Ability to learn quickly and work effectively across technical teams

Preferred Skills
  • Exposure to AI/ML workloads, distributed systems, or large-scale infrastructure
  • Experience with simulation tools, benchmarking, profiling, or performance analysis
  • Familiarity with data center systems, server architecture, or hardware platforms
  • Interest in system architecture and hardware/software co-design
  • Internship or early professional experience in performance engineering, infrastructure, or systems design

About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
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At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.