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Full Time High Frequency Trading Software Engineer Jobs

Quanta Search

High Frequency Quant Trader

Chicago, IL · On-site

Our client is a diversified trading firm with over 3 decades of experience bringing sophisticated ... Strong programming skills with the ability to explore large datasets required Thank you for ...

Atto Trading

C++ Developer

New York, NY

$175K - $250K/yr

Atto Trading, a dynamic quantitative trading firm founded in 2010 and leading in global high-frequency strategies, is looking for a C++ Software Engineer to join our team in New York.We are expanding ...

Atto Trading

C++ Developer

New York, NY · On-site

$175K - $250K/yr

Atto Trading, a dynamic quantitative trading firm founded in 2010 and leading in global high-frequency strategies, is looking for a C++ Software Engineer to join our team in New York.We are expanding ...

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All JobsFull Time High Frequency Trading Software Engineer Jobs

Full Time High Frequency Trading Software Engineer information

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$63.5K

$147.5K

$205.5K

How much do full time high frequency trading software engineer jobs pay per year?

As of Jul 4, 2026, the average yearly pay for full time high frequency trading software engineer in the United States is $147,524.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,000.00 and $173,000.00 per year, depending on experience, location, and employer.

What does a Full Time High Frequency Trading Software Engineer do?

A Full Time High Frequency Trading (HFT) Software Engineer designs, develops, and maintains the ultra-low latency software systems that power automated trading strategies in financial markets. Their primary responsibilities include optimizing code for speed, ensuring system reliability, and working closely with quantitative analysts and traders to implement new algorithms. They often work with languages like C++ or Java and use specialized networking techniques to minimize delays. The goal is to enable trading firms to execute large volumes of trades at the fastest possible speeds, often competing with other firms in microseconds. This role requires a deep understanding of computer science, networking, and financial markets.

Can you make $500,000 as a software engineer?

Full-time high frequency trading software engineers can potentially earn $500,000 or more annually, especially with experience, performance bonuses, and profit-sharing in trading firms. Compensation often depends on skill level, the firm's size, and the success of trading strategies, with top earners in the industry reaching or exceeding this level. However, such high salaries are typically associated with senior roles and high-performance environments.

How much do high frequency trading engineers make?

High frequency trading software engineers typically earn between $150,000 and $300,000 annually, with experienced professionals and those in major financial hubs earning higher salaries. Compensation often includes bonuses and profit sharing, reflecting the competitive and specialized nature of the role.

What engineers make $500,000 a year?

Full-time high frequency trading software engineers can earn $500,000 or more annually, especially those with advanced skills in algorithm development, low-latency programming, and experience with trading platforms. Compensation often includes base salary, bonuses, and profit sharing, reflecting the high-stakes nature of the industry.

What are some typical challenges Full Time High Frequency Trading Software Engineers face when optimizing trading systems?

Full Time High Frequency Trading (HFT) Software Engineers often encounter challenges related to minimizing latency and maximizing system throughput. They must continuously fine-tune algorithms and network infrastructure to achieve ultra-low latency, while ensuring system stability and reliability under extreme loads. Additionally, staying ahead of rapid technological advancements and adapting to evolving regulatory requirements are ongoing aspects of the role. Collaboration with traders, quants, and infrastructure teams is crucial to align technical solutions with trading strategies and business objectives.

What is the salary of HFT software engineer?

A full-time high-frequency trading (HFT) software engineer typically earns between $150,000 and $300,000 annually, depending on experience, location, and the firm's size. Compensation often includes bonuses and stock options, especially at top trading firms, and requires strong programming skills in C++ and low-latency systems knowledge.

What are the key skills and qualifications needed to thrive as a Full Time High Frequency Trading Software Engineer, and why are they important?

To excel as a Full Time High Frequency Trading Software Engineer, you need advanced programming skills (especially in C++ or Java), a strong background in algorithms, and a solid understanding of computer science fundamentals, often paired with a degree in a related field. Familiarity with low-latency systems, network protocols, and experience using specialized trading platforms and performance profiling tools are typically required. Exceptional problem-solving, adaptability, and the ability to collaborate under pressure are standout soft skills in this role. These abilities are crucial for building and maintaining ultra-fast, reliable trading systems that compete effectively in financial markets.

What is the difference between Full Time High Frequency Trading Software Engineer vs Quantitative Trading Software Engineer?

AspectFull Time High Frequency Trading Software EngineerQuantitative Trading Software Engineer
Required CredentialsBachelor's or Master's in Computer Science, Engineering, or related field; programming skills in C++, Python; knowledge of trading systemsSimilar credentials; strong math background, programming skills, and experience with trading algorithms
Work EnvironmentFast-paced trading firms, financial institutions, high-performance computing environmentsQuant firms, hedge funds, financial institutions, research-focused settings
Employer & Industry UsageUsed in high-frequency trading firms, investment banks, proprietary trading desksCommon in quantitative hedge funds, asset managers, and trading firms

While both roles require strong programming skills and financial knowledge, the Full Time High Frequency Trading Software Engineer focuses on developing ultra-low latency trading systems for high-speed markets, whereas the Quantitative Trading Software Engineer emphasizes designing and implementing trading algorithms based on quantitative research. Both roles are integral to trading firms but differ in their primary focus and technical approach.

What cities are hiring for Full Time High Frequency Trading Software Engineer jobs? Cities with the most Full Time High Frequency Trading Software Engineer job openings:
What are the most commonly searched types of High Frequency Trading Software Engineer jobs? The most popular types of High Frequency Trading Software Engineer jobs are:
What states have the most Full Time High Frequency Trading Software Engineer jobs? States with the most job openings for Full Time High Frequency Trading Software Engineer jobs include:
Full Time High Frequency Trading Software Engineer jobs near you

C++ Quantitative Developer - HFT - Global Hedge Fund - Bonhill Partners

Bonhill Partners

Manhattan, NY • On-site

$54 - $72.75/hr

Full-time

Posted 7 days ago

Job description

C++ Quantitative Developer – High-Frequency Trading | Global Hedge Fund

Bonhill Partners are supporting a leading global hedge fund in their search for a C++ Quantitative Developer to join their High-Frequency Trading (HFT) team. This is a unique opportunity to work at the cutting edge of quantitative trading, leveraging your expertise to optimize performance in a fast-paced, data-driven environment.

Key Responsibilities:

  1. Design and implement a low-latency, high-frequency trading platform, handling real-time market data and executing trades globally.
  2. Contribute to the development of a research platform.
  3. Optimize parallel computation problems, ensuring efficient data sharing across distributed systems.
  4. Enhance the computational efficiency of machine learning algorithms.

Key Requirements:

  1. Strong experience in C++ and proficiency in Python.
  2. Deep understanding of data structures, algorithms, and object-oriented programming.
  3. Familiarity with cloud computing frameworks (AWS, GCP, or similar) is a plus.
  4. Linux and Bash scripting expertise.
  5. Experience with Go and Rust is advantageous.
  6. Exceptional problem-solving skills and a detail-oriented mindset.

This is an exciting chance to join a top-tier hedge fund at the forefront of algorithmic trading and quantitative research. If you're interested, please apply.

Looking forward to connecting!

Apply