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Entry Level High Frequency Trading Software Engineer Jobs

Hyphen Connect Limited

$109K - $149K/yr

Expert-level proficiency in C++ or Rust programming ... Strong background in high-frequency trading (HFT) or market making. * Experience with low-latency ...

w3r Consulting

Senior Software Engineer

O Fallon, MO · On-site

$114K - $151K/yr

Responsible for performance engineering of the enterprise software architecture. * Significant code ... switching, high frequency trading systems or global real-time event streaming systems etc.

Wolverine

Software Engineer - Trading Systems

Chicago, IL · On-site

$100K - $140K/yr

As a Software Engineer at Wolverine, you'll contribute to the design and development of high-performance applications that support our trading strategies. You'll work closely with experienced ...

Optiver

Senior Software Engineer C++

Austin, TX

$121K - $160K/yr

Optiver is looking for Senior Software Engineers to join our High-Frequency Trading (HFT) team in Austin, TX. Our HFT team is comprised of software engineers and researchers who design, improve and ...

Carnegie Affiliates

C++ Socket Level Developer

New York, NY

$53.50 - $72.25/hr

Design and implement a high-frequency trading platform, Develop systems that provide easy access to ... Strong skills in Mult-ithreading and Socket Level programming A strong background in data ...

Optiver

Senior Software Engineer C++

Austin, TX · On-site

$121K - $160K/yr

Optiver is looking for Senior Software Engineers to join our High-Frequency Trading (HFT) team in Austin, TX. Our HFT team is comprised of software engineers and researchers who design, improve and ...

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Entry Level High Frequency Trading Software Engineer information

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$24K

$104.9K

$189K

How much do entry level high frequency trading software engineer jobs pay per year?

As of Jun 14, 2026, the average yearly pay for entry level high frequency trading software engineer in the United States is $104,863.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,000.00 and $120,000.00 per year, depending on experience, location, and employer.

What is the difference between Entry Level High Frequency Trading Software Engineer vs Quantitative Trading Analyst?

AspectEntry Level High Frequency Trading Software EngineerQuantitative Trading Analyst
Required CredentialsBachelor's in Computer Science, Engineering, or related field; programming skills in C++, PythonBachelor's in Finance, Economics, or Mathematics; strong analytical and statistical skills
Work EnvironmentFast-paced trading firms, technology-driven teams, focus on software developmentTrading desks, research teams, focus on data analysis and strategy development
Employer & Industry UsageFinancial firms specializing in high-frequency trading, hedge funds, proprietary trading firmsInvestment banks, hedge funds, trading firms, financial institutions

While both roles operate within the trading industry, the Entry Level High Frequency Trading Software Engineer primarily focuses on developing and maintaining trading algorithms and infrastructure, whereas the Quantitative Trading Analyst emphasizes analyzing data and developing trading strategies. Both require strong technical skills, but their daily tasks and focus areas differ significantly.

What does an Entry Level High Frequency Trading Software Engineer do?

An Entry Level High Frequency Trading (HFT) Software Engineer designs, develops, and maintains software systems that enable firms to execute trades at extremely high speeds in financial markets. Their work focuses on optimizing algorithms, improving code efficiency, and reducing system latency to gain a competitive edge. They often work closely with quantitative analysts and traders to implement and test trading strategies, maintain trading infrastructure, and troubleshoot issues that arise during live trading sessions.

What are some common challenges faced by entry-level software engineers in high frequency trading, and how can they prepare for them?

Entry-level software engineers in high frequency trading (HFT) often face challenges such as optimizing code for ultra-low latency, understanding complex financial products, and adapting to a fast-paced, highly collaborative environment. To prepare, candidates should develop strong programming skills (especially in C++ or Python), gain familiarity with network protocols, and practice writing performance-critical code. Engaging in mock coding interviews, studying real-world trading systems, and seeking mentorship from experienced engineers can also help new hires adjust quickly and excel in their roles.

What are the key skills and qualifications needed to thrive as an Entry Level High Frequency Trading Software Engineer, and why are they important?

To thrive as an Entry Level High Frequency Trading Software Engineer, you need strong programming skills in languages such as C++ or Java, a solid foundation in algorithms, data structures, and a degree in computer science or a related field. Familiarity with Linux/Unix systems, version control tools like Git, and experience with low-latency networking are typically required, while knowledge of financial markets or trading systems is a plus. Outstanding problem-solving abilities, attention to detail, and the capacity to work well under pressure are crucial soft skills. These competencies are vital to developing, optimizing, and maintaining robust, high-performance trading systems in a fast-paced, competitive environment.
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Entry Level High Frequency Trading Software Engineer jobs near you
Infographic showing various Entry Level High Frequency Trading Software Engineer job openings in the United States as of June 2026, with employment types broken down into 6% Internship, 82% Full Time, 6% Part Time, and 6% Contract. Highlights an 100% In-person job distribution, with an average salary of $104,863 per year, or $50.4 per hour.

Software Engineer, New Grad

Andalusia Labs

San Francisco, CA

Other

Posted 6 days ago

Job description

New Grad Software Engineer

Andalusia Labs is building foundational economic infrastructure for programmable global markets, connecting capital, computation, and coordination across the internet. Our work sits at the intersection of distributed systems, finance, and machine intelligence, with the goal of growing the world's programmable GDP.

Our team has shipped massively scalable systems and products at Coinbase, Google, AWS, Microsoft, X, TikTok, Goldman Sachs, and High-Frequency Trading firms. We are backed by Coinbase, Mubadala, Lightspeed, Bain Capital, Pantera, Framework, Digital Currency Group, Proof Group, Nima Capital, Naval Ravikant, Arthur Hayes, and founders, GPs, and executives from organizations like Founders Fund, Google, and Coinbase.

Role

We are hiring a New Grad Software Engineer to help build systems that power programmable markets. You will contribute to core services, ship high-performance code, and learn across the stack. You will work alongside founders, senior engineers, and product partners to turn new primitives into production systems that handle high usage.

Responsibilities
  • Contribute to core services across networking, consensus and execution, tokenization, exchange, settlement, and data pipelines
  • Design, implement, and operate high-quality services in C++, Rust, Go, or Solidity with guidance from senior engineers
  • Profile and improve performance for throughput, tail latency, memory, storage, and network efficiency
  • Build correctness and safety with unit tests, property-based testing, fuzzing, static analysis, and thorough reviews
  • Support production reliability with clear SLOs, alerting, dashboards, and participation in incident response after onboarding
  • Create and maintain internal libraries, developer tooling, and CI to speed delivery and raise code quality
  • Write clear design docs that explain tradeoffs and support sound technical decisions
  • Collaborate with peers in design and code reviews and contribute to a high engineering bar
  • Partner with product, research, security, and go-to-market to scope milestones and ship new capabilities
  • Learn, model, and help implement financial primitives and risk logic with rigorous testing and telemetry
Requirements
  • BA/BS in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field, or equivalent practical experience
  • 0 to 2 years of experience through internships, research, or significant projects working with at least one of these languages (C++, Rust, Go, Solidity)
  • Strong understanding of distributed systems, data structures, algorithms, and software design
  • Experience building performant applications in internships, research, or significant projects
  • Exposure to compilers, runtimes, optimization, or static analysis through internships, research, or significant projects is a plus
  • Familiarity with Git, continuous integration, and automated testing for C++, Rust, Go, and or Solidity stacks
  • High ownership, ability to learn quickly with minimal guidance
  • Ability to work in a fast-paced environment and across the product engineering stack
  • Clear written and verbal communication
Bonus
  • MA/MS, PhD, or advanced degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field, or equivalent practical experience
  • Familiarity with cryptography, key management, TEEs, or zero-knowledge systems
  • Experience or coursework in fintech, algorithmic trading, or financial primitives
  • Experience with React, Node, and/or TypeScript
  • Interested in startups.

Apply