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Quant Swe Jobs in California (NOW HIRING)

AgentMail, Inc

Founding Engineer

San Francisco, CA · On-site

$150K - $250K/yr

Founded by a team of experts in their own respects(Quant, SWE, Private Equity), the team has top-tier talent from startups and big companies alike, with backgrounds from Optiver, NVIDIA, Amazon ...

Third Wave Automation

SWE Generalist

Union City, CA · On-site

They are seeking a strong SWE Generalist to lead the development of a major component of their ... quantitative discipline Company : Third Wave Automation provides cloud robotics and machine ...

Apple

Applied AI Engineer

Cupertino, CA · On-site

... related quantitative field with 3+ years of experience in applied AI, machine learning, or ... SWE etc. Communicate results and insights effectively to partners and senior leaders, as well as ...

Apple

Applied AI Engineer

Cupertino, CA

$184K - $277K/yr

... related quantitative field with 3+ years of experience in applied AI, machine learning, or ... SWE etc. Communicate results and insights effectively to partners and senior leaders, as well as ...

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All JobsQuant Swe JobsQuant Swe Jobs in California

Quant Swe information

What are the key skills and qualifications needed to thrive as a Quantitative Software Engineer, and why are they important?

To thrive as a Quantitative Software Engineer, you need strong programming skills (often in Python, C++, or Java), a solid foundation in mathematics and statistics, and typically a degree in computer science, mathematics, engineering, or a related field. Familiarity with specialized tools like MATLAB, NumPy, Pandas, and version control systems, as well as experience with financial data platforms, is often required. Analytical thinking, attention to detail, and effective communication are essential soft skills for collaborating within cross-functional teams and delivering robust solutions. These skills and qualities are critical for building, optimizing, and maintaining complex models and systems that drive financial decision-making.

What are some common challenges faced by Quantitative Software Engineers when working with large-scale financial data sets?

Quantitative Software Engineers often encounter challenges related to the volume, velocity, and variety of financial data. Ensuring data integrity and accuracy is critical, as small discrepancies can significantly impact trading strategies. Additionally, optimizing algorithms for speed and scalability to process real-time market data is essential, often requiring close collaboration with data engineers and quantitative analysts. These professionals must also stay updated with the latest technologies to efficiently manage and analyze complex data environments.

What are Quant Swe jobs?

Quant Swe, short for Quantitative Software Engineer, are professionals who develop and maintain software systems used in quantitative finance. They combine expertise in programming, mathematics, and finance to build tools for data analysis, trading algorithms, and risk management. Quant Swe roles often require knowledge of programming languages such as Python, C++, or Java, and familiarity with financial markets and mathematical modeling. These engineers collaborate closely with quantitative analysts and traders to implement models and ensure high-performance computing solutions.

What is the difference between Quant Swe vs Quant Analyst?

AspectQuant SweQuant Analyst
Required CredentialsDegree in Math, CS, or Engineering; often requires programming skillsDegree in Finance, Economics, Math; may require certifications like CFA
Work EnvironmentTechnical, coding-focused, often in tech or finance firmsResearch-driven, financial modeling, client interaction
Employer & Industry UsagePrimarily in hedge funds, prop trading, quant firmsInvestment banks, asset management, hedge funds
Common Search & ComparisonYesYes

Quant Software Engineers focus on developing and maintaining trading algorithms and systems, emphasizing programming and technical skills. Quant Analysts analyze financial data, develop models, and support trading strategies. While both roles require strong quantitative skills, Quant Swe are more technical and coding-oriented, whereas Quant Analysts focus on financial analysis and modeling.

What are popular job titles related to Quant Swe jobs in California? For Quant Swe jobs in California, the most frequently searched job titles are:
What job categories do people searching Quant Swe jobs in California look for? The top searched job categories for Quant Swe jobs in California are:
What cities in California are hiring for Quant Swe jobs? Cities in California with the most Quant Swe job openings:
Quant Swe jobs near you
Infographic showing various Quant Swe job openings in California as of July 2026, with employment types broken down into 91% Full Time, 6% Part Time, 1% Temporary, and 2% Contract. Highlights an 90% Physical, 4% Hybrid, and 6% Remote job distribution.

Senior Engineer, Backend/Infra

AgentMail, Inc

San Francisco, CA • On-site

$250K - $400K/yr

Full-time

Medical, Dental, Vision

Posted 6 days ago

Job description

Location: San Francisco, CA
Type: Full-time, on-site
TLDR: we are seeing a surge in market demand as agents become real first-class citizens of the internet, and we are aggressively hiring in order to keep up. We're coming up with solutions in a problem space where no one in Silicon Valley knows the answer to either: how to build something agents want. If you like owning things 0 -> 1, lets chat.
AgentMail is building an API designed to give inboxes to AI agents and be the sole identity + communication provider. It isn't AI for your email, it's email for your AI.
We're looking for a founding engineer with strong backend and infra instincts to help build the primitives agents will use to communicate, authenticate, and operate in the real world. This is a role for someone who likes systems work: APIs, distributed infrastructure, reliability, developer tooling.
Company highlights:
  • World-Class Team: Founded by a team of experts in their own respects(Quant, SWE, Private Equity), the team has top-tier talent from startups and big companies alike, with backgrounds from Optiver, NVIDIA, Amazon, Modern Treasury, KKR.
  • Hypergrowth: We've doubled our user count every 2 weeks since January, and don't plan on slowing down any time soon. As agents will outnumber humans very soon, we see this multiple changing in the range of orders very soon.
  • Competitive-edge: We are the sole identity provider for agents. Just like you have a Gmail, agent's will need an AgentMail.
What you'll do
  • Lead and manage a team of 4-6 engineers
  • Design APIs and abstractions that are intuitive for both humans and AI Agents
  • Build high-performant, low-latency systems with the idea that agents are the end-users in mind
  • Get your hands dirty by touching our core infrastructure that processes hundreds of thousands of emails per day.
  • Think creatively about being the bridge between cutting edge AI capabilities with something as primitive as email(an oxymoron we know)
  • Own projects end-to-end, from system design to production rollout
  • Write clear, maintainable code and strong technical documentation
  • Be the frontline for feedback from our customers - we'll trust you to be our spokesperson
What we're looking for
  • You want to solve problems end-to-end: every engineer owns a part of the product and needs to make decisions across the frontend, infrastructure, backend, and UX.
  • You have a high bar for quality: At a startup, speed is the only advantage we have over big-tech companies. But even more important is to care about your output and obsess about details.
  • You are a clear thinker and communicator: We have daily standups and weekly syncs in which we expect you to communicate tradeoffs, problems, and blockers directly.
  • You are highly technical: preferred you have prior experience shipping production software by real users as a software engineer at a tech company or startup. But hustlers are always appreciated.
Bonus points
  • Experience with cloud infrastructure, distributed systems, or developer tools
  • Experience with messaging, email, auth, or protocol-heavy systems
  • Experience building for AI/LLM use cases

Qualifications:
  • Has 3+ years of work experience as an engineer working on infrastructure at a tech company
  • Has architected software used in production by millions of users
Compensation:
  • $250k - $400k base salary
  • 1.0% - 2.0% equity
  • Breakfast, lunch, and dinner (Doordash)
  • Medical, dental, and vision insurance
  • Equinox membership

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