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Entry Level High Frequency Trading Software Engineer Jobs

This role sits combines deep knowledge of software engineering, hardware, and market microstructure ... Prior experience at a market making firm, high-frequency trading firm, or exchange technology ...

New

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 ...

Software Engineer - Trading Systems

Chicago, IL ยท 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 ...

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 ...

Senior Software Engineer C++

Austin, TX ยท 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 ...

Junior Algorithmic Trader

Chicago, IL

$69K - $89K/yr

... software and build and improve trading strategies. As a Junior Algorithmic Trader, you will have ... From researching and analyzing high-frequency tick data and trading performance, to building ...

... high-frequency trading system Qualifications Responsibilities: * Implement, test, and deploy ... Understanding of network programming * Excelent written and verbal communication skill Additional ...

We are seeking a Machine Learning Engineer to join the High Frequency Trading Technology team. This ... Experience with machine learning software libraries such as TensorFlow or PyTorch * Experience ...

We are seeking a Machine Learning Engineer to join the High Frequency Trading Technology team. This ... Experience with machine learning software libraries such as TensorFlow or PyTorch * Experience ...

FPGA Engineer

Chicago, IL ยท On-site

$180K - $280K/yr

... high frequency trading. We are looking for talented hardware engineers with a track record of ... You probably enjoy solving complex system problems where hardware and software come together to ...

... high frequency trading. We are looking for talented hardware engineers with a track record of ... You probably enjoy solving complex system problems where hardware and software come together to ...

FPGA Engineer

Chicago, IL ยท On-site

$180K - $280K/yr

... high frequency trading. We are looking for talented hardware engineers with a track record of ... You probably enjoy solving complex system problems where hardware and software come together to ...

FPGA Engineer

New York, NY ยท On-site

$180K - $280K/yr

... high frequency trading. We are looking for talented hardware engineers with a track record of ... You probably enjoy solving complex system problems where hardware and software come together to ...

Showing results 21-40

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 Aug 15, 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 high frequency trading software engineers, 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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Infographic showing various Entry Level High Frequency Trading Software Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, 3% Contract, and 1% Nights. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $104,863 per year, or $50.4 per hour.

Low Latency MM Engineer

G-20 Group

New York, NY โ€ข On-site

Full-time

Posted yesterday

New


Job description

About G20 Group

G-20 Group is a cross-asset trading firm headquartered in Switzerland, trading delta-one and derivatives markets globally. We combine startup agility with institutional-grade experience in proprietary trading, technology, and quantitative finance.

Role Overview

We are hiring for a Low Latency Market Making Engineer to design, build, and continuously optimize the systems responsible for quote generation and order execution within microsecond-level latency tolerances. This role sits combines deep knowledge of software engineering, hardware, and market microstructure, and requires close collaboration with traders and quantitative researchers to translate strategy requirements into production systems capable of achieving favorable queue position across trading venues.

Responsibilities

  • Design, build, and maintain ultra-low-latency market making systems, including order entry, market data processing, risk controls, and quote and order management functionality
  • Continuously profile and optimize the tick-to-trade path, from network interface through kernel to application, with close attention to CPU cache behavior, memory layout, branch prediction, and lock-free data structures
  • Collaborate with hardware engineers, or develop FPGA logic directly depending on background, to minimize latency in critical-path processing
  • Own exchange connectivity, including implementation and maintenance of FIX, ITCH/OUCH, or proprietary binary protocols for order entry and market data feeds
  • Partner with traders and quantitative researchers to implement and calibrate quoting logic, risk controls, and inventory management in production environments
  • Build and maintain simulation, backtesting, and replay infrastructure to validate strategy and system changes prior to live deployment
  • Monitor live trading systems, diagnose latency regressions and operational anomalies in real time, and lead root-cause resolution efforts
  • Contribute to capacity planning and infrastructure decisions relating to co-location, network topology, and hardware upgrades
  • Uphold rigorous engineering standards, including code review, testing, deployment safety, and change management practices appropriate for systems executing live capital.

Requirements

  • Currently pursuing or recently completed a degree in Computer Science, Engineering, Mathematics, Data Science, Economics, Business, or a related field, top-tier university preferred
  • Strong proficiency in C++ (modern C++17/20 preferred), with the ability to reason about assembly output and compiler behavior
  • Thorough understanding of computer architecture, including CPU caches, NUMA, memory ordering, and kernel bypass networking technologies (e.g., Solarflare/OpenOnload, DPDK, or comparable solutions)
  • Experience with low-latency networking and associated protocols (TCP/UDP internals, multicast, kernel bypass) as well as exchange connectivity protocols such as FIX, ITCH, or OUCH
  • Solid understanding of Linux internals, including scheduling, interrupt handling, NUMA pinning, and huge pages, with demonstrated experience tuning production systems at the operating system level
  • Working knowledge of market microstructure, including order books, matching engine behavior, queue position, adverse selection, and inventory risk management practices employed by market makers
  • Experience with FPGA development (Verilog/VHDL) is advantageous, though not a strict requirement for all candidates
  • Demonstrated experience working on systems where microsecond- or nanosecond-level performance was critical, such as high-frequency trading, market making, exchange technology, or comparable latency-sensitive domains (telecommunications, high-performance computing, real-time systems)
  • Strong debugging and profiling capabilities using tools such as perf, VTune, or custom tracing and timestamping infrastructure
  • Strong communication skills and the ability to collaborate effectively with trading personnel under time-sensitive conditions during market hours.

Preferred / Desirable Experience

  • Experience building or tuning matching engines or exchange-side systems
  • Exposure to FPGA-based trading systems or programmable networking hardware (e.g., Solarflare, Exablaze, Arista MetaWatch)
  • Prior experience at a market making firm, high-frequency trading firm, or exchange technology vendor.

Locations and Right to work: This role can be based out of our Zurich, London, New York or Hong Kong office. Only candidates who possess the pre-existing right to work in one of the locations above without company sponsorship need apply.

Join G-20 and be a part of a team that is at the forefront of financial markets, driving innovation and excellence in the sector.