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Hedge Fund Software Engineer Remote Jobs in California

Fuku

Software Engineer

San Francisco, CA · On-site +1

B achelor's degree in Computer Science, Software Engineering, or a related field. * P roven ... F lexible working hours and remote work options. * G enerous paid time off and holiday leave. * A ...

Decile Group

Senior Fund Accountant (Remote)

Palo Alto, CA · On-site +1

$90K - $125K/yr

We operate an integrated platform for modern venture capital , spanning education, software, and ... our product, engineering, and operation teams. Decile Group provides a fast-paced startup ...

Decile Group

Senior Fund Accountant (Remote)

Palo Alto, CA · On-site +1

$90K - $125K/yr

We operate an integrated platform for modern venture capital , spanning education, software, and ... our product, engineering, and operation teams. Decile Group provides a fast-paced startup ...

Civic Canvas

Software Engineer

Los Angeles, CA · Remote

$105K - $130K/yr

This is a remote position. We are seeking a talented Software Engineer to join our engineering team and help design, build, and support modern, scalable software solutions. This role is ideal for a ...

Bluon

Collaborate with our local and remote developer team * Help document our app * Perform routine software maintenance Skills Knowledge and Expertise * Strong skills in React.js or similar modern ...

NextDeavor Inc.

Mid Level Software Engineer

Irvine, CA · Remote

$100K - $115K/yr

Mid Level Software Engineer Full-time Remote Exclusive confidential search -- details shared with qualified applicants. Become a Key Player as a Mid Level Software Engineer You will contribute to ...

DocuSign

Software Engineer

San Francisco, CA · On-site +1

Employee divides their time between in-office and remote work. Access to an office location is ... software engineering experience building production services or applications using OO languages ...

Civic Canvas

Software Engineer

Los Angeles, CA · Remote

$105K - $130K/yr

We are seeking a talented Software Engineer to join our engineering team and help design, build ... REMOTE Benefits 401(k) Parental leave Health insurance Paid time off Employee discount Vision ...

Gnostech LLC

Software Engineer III

San Diego, CA · On-site +1

$125K - $175K/yr

Hybrid or remote work is not authorized Job Title * Software Engineer III Salary * $125,000 - $175,000 Shift * N/A Travel * Yes, may involve several Contiguous United States (CONUS)/Outside ...

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Hedge Fund Software Engineer Remote information

What does a remote hedge fund software engineer do?

A remote hedge fund software engineer designs, develops, and maintains software systems that support trading, risk management, data analysis, and other key functions at a hedge fund. They work with technologies like Python, C++, or Java to build applications that process large volumes of financial data and help traders make informed decisions. Their responsibilities may include automating trading strategies, ensuring system reliability, and collaborating with quantitative analysts and portfolio managers—all while working from a remote location.

What are the key skills and qualifications needed to thrive as a remote hedge fund software engineer?

To thrive as a Hedge Fund Software Engineer (Remote), you need strong programming skills (often in Python, C++, or Java), a solid understanding of algorithms, data structures, and a relevant degree in computer science or a related field. Experience with financial systems, low-latency trading platforms, cloud computing, and familiarity with tools like Git and SQL are typically required, while certifications such as AWS Certified Solutions Architect can be beneficial. Excellent problem-solving, self-motivation, and clear communication skills are essential for collaborating across distributed teams and managing complex projects independently. These competencies ensure the reliability, efficiency, and scalability of trading systems, which are critical for maintaining a hedge fund's competitive edge.

What are some unique challenges faced by remote hedge fund software engineers compared to those in traditional finance software roles?

Remote Hedge Fund Software Engineers often encounter the challenge of collaborating with globally distributed teams while building and maintaining high-performance, low-latency trading systems. In addition to strong technical skills, effective communication and proactive problem-solving are crucial, as engineers must coordinate closely with traders, quants, and other stakeholders virtually. The fast-paced, results-driven hedge fund environment can require quick adaptation to ever-changing requirements and tight deadlines. However, this also offers exposure to cutting-edge technologies and the opportunity to directly impact trading performance from a remote setting.

What is the difference between Hedge Fund Software Engineer Remote vs Quantitative Analyst Remote?

AspectHedge Fund Software Engineer RemoteQuantitative Analyst Remote
Required CredentialsComputer Science degree, programming skills, financial knowledgeMathematics, statistics, programming skills, finance background
Work EnvironmentCollaborative teams, remote software development projectsData analysis, model development, remote research
Employer & Industry UsageHedge funds, asset management firms, fintech companiesHedge funds, investment firms, financial institutions
Search & Comparison IntentUnderstanding software engineering roles in hedge fundsComparing quantitative analysis roles in finance

Hedge Fund Software Engineers and Quantitative Analysts both work in finance but focus on different areas. Software engineers develop and maintain trading platforms, while quantitative analysts create models for investment strategies. Both roles often require programming skills and finance knowledge, but their daily tasks and objectives differ.

What are the most commonly searched types of Hedge Fund Software Engineer jobs in California?

The most popular types of Hedge Fund Software Engineer jobs in California are:

What are popular job titles related to Hedge Fund Software Engineer Remote jobs in California?

For Hedge Fund Software Engineer Remote jobs in California, the most frequently searched job titles are:

What job categories do people searching Hedge Fund Software Engineer Remote jobs in California look for?

The top searched job categories for Hedge Fund Software Engineer Remote jobs in California are:

What cities in California are hiring for Hedge Fund Software Engineer Remote jobs?

Cities in California with the most Hedge Fund Software Engineer Remote job openings:

Hedge Fund Software Engineer Remote jobs near you

Software Engineer

Dreams 2 Reality Recruitment

Mountain View, CA • Remote

$80 - $100/hr

Other

Posted yesterday

New

Job description

Engagement: Project-Based
Location: Remote — U.S.
Commitment: 20 hours/week
Compensation: $80–$100/hour

About the Role

We are looking for an experienced Software Engineer with expertise in reinforcement learning, AI evaluation, or coding agents to help build next-generation software engineering environments and benchmarks.

You will design realistic, challenging coding tasks that require AI models to work through complex software repositories, debug issues, implement features, refactor code, and reason across multiple steps. Unlike simple coding exercises, these environments are designed to evaluate sustained software engineering ability in realistic development workflows.

This is a hands-on, project-based opportunity for an experienced engineer who enjoys working at the intersection of software engineering, reinforcement learning, AI agents, and evaluation.

What You’ll Do

  • Design and develop long-horizon coding tasks that require multi-step reasoning and implementation across real codebases
  • Build reinforcement learning environments and software engineering task suites for AI models
  • Create robust tests, graders, and evaluation frameworks to reliably measure task completion and code quality
  • Develop challenging scenarios involving debugging, feature development, refactoring, testing, and repository-level reasoning
  • Create realistic tasks that require AI agents to understand and modify unfamiliar codebases
  • Analyze model performance and evaluation results to identify weaknesses and opportunities for improvement
  • Iteratively improve task difficulty, quality, diversity, reliability, and resistance to shortcut solutions
  • Apply strong software engineering judgment to ensure tasks reflect realistic development practices

Required Qualifications

  • 8 years of professional software engineering experience
  • Hands-on experience designing or developing reinforcement learning tasks, coding evaluations, AI benchmarks, or agentic coding environments
  • Experience working extensively in complex production codebases
  • Strong skills in software testing, debugging, architecture, and code quality
  • Familiarity with modern reinforcement learning concepts and iterative model improvement workflows
  • Ability to design realistic, measurable engineering tasks that are resistant to shortcut solutions
  • Strong ability to understand unfamiliar repositories and identify meaningful engineering challenges
  • Excellent written and technical communication skills
  • Availability to contribute 20 hours per week

Preferred Qualifications

  • Experience building long-horizon coding evaluations, benchmarks, or AI agent tasks
  • Experience with DeepSWE-style coding evaluations or similar repository-level software engineering benchmarks
  • Background developing evaluation infrastructure for AI coding agents or software engineering models
  • Experience with reinforcement learning training or evaluation platforms such as Mercor, Handshake AI, Turing, or Micro1
  • Experience analyzing AI model performance and using evaluation results to improve training or task design

Why Join

This is an opportunity to work on challenging problems at the intersection of software engineering, reinforcement learning, and artificial intelligence.

Your work will directly contribute to the environments, evaluations, and benchmarks used to measure and improve AI systems#39; ability to perform complex, real-world software engineering tasks.

Apply