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We are hiring an Engineer to join our Data Engineering Infrastructure team, where you will help build and scale the storage and data platforms that power our HFT business. This is a hands-on role for someone who enjoys working close to the bare metal systems. Operating large-scale open-source storage, enterprise storage, tuning Linux systems for performance, automating infrastructure. As our data footprint grows, you will play a key part in keeping our infrastructure fast, reliable, and ready to scale. Your Core Responsibilities: Design, deploy, and operate large-scale data storage infrastructure, including Hadoop, enterprise storage and S3-compatible platforms Tune Linux systems for I/O throughput and overall performance Automate configuration and deployment using Ansible, Puppet or other automation platform Build observability into the platform with Prometheus and related tooling Partner with engineering teams to deliver reliable, well-architected data solutions with a focus on Storage and Kafka Familiarity with Kubernetes Your Skills & Experience: 5+ years of experience in systems engineering with a strong focus on data storage Strong Linux fundamentals, debugging skills, including performance tuning for I/O throughput Hands-on experience with Ansible and Puppet for configuration management and automation Familiarity with open-source, S3 API compliant, and enterprise storage technologies Working knowledge of the Hadoop ecosystem, including YARN Experience in Java and Python Comfort working with AI-assisted development tools such as Claude in an enterprise setting Experience with Prometheus-based monitoring and alerting The Base Salary range for the role is included below. Base salary is only one component of total compensation; all full-time, permanent positions are eligible for a discretionary bonus and benefits, including paid leave and insurance. Please visit Benefits - US | IMC Trading for more comprehensive information. Salary Range $175,000 — $225,000 USD About Us IMC is a research-driven trading firm where quantitative modeling, machine learning, and engineering shape how modern markets are traded. A stabilizing force in markets since 1989, we provide liquidity across trading venues, delivering the best outcome in value and risk management to investors. Using our own technology and capital, we build proprietary systems and algorithms that operate across global markets. Our researchers, traders, and engineers work as a collective, combining rapid experimentation, advanced infrastructure, and real-time feedback to turn insight into execution and execution into advantage.

Your IMC Journey as a Graduate Hardware Engineer As a Graduate Hardware Engineer at IMC, you’ll begin your career with a comprehensive five-week Global Trainee Programme led by our experienced engineers and traders, together with fellow graduates from our offices in Europe, the United States, and Asia-Pacific. After completing the programme, you’ll continue your professional development in your local office, working closely with your mentor, an experienced IMC engineer, to apply what you’ve learned to real-world, high-impact projects. Your work will go far beyond coding, you’ll gain a deep understanding of IMC’s field-programmable gate array RTL/FPGA development process, learn how technology drives our unique trading strategies, and collaborate with some of the brightest minds in both engineering and trading. Your Core Responsibilities Design, implement, and validate improvements to IMC’s FPGA trading systems Work hands-on with cutting-edge hardware and development tools to optimise system performance Participate in pair programming sessions, peer code reviews, and design discussions to ensure high-quality solutions Collaborate with traders and software engineers to deliver robust, low-latency systems Continue to grow through workshops, training sessions, and networking events with engineers across all IMC regions Your Skills and Experience Recently graduated (or graduating by 2027) with a degree in Computer Science, Software Engineering, Electrical Engineering, or a related discipline Experience with a hardware descriptive language such as VHDL, Verilog, or SystemVerilog Proficiency in at least one programming language (C++ or Python preferred) Strong analytical and problem-solving abilities with a passion for tackling complex technical challenges Collaborative mindset; you thrive in environments that value creativity, innovation, and teamwork A genuine interest in how technology shapes financial markets (no prior finance experience required) Available to start full-time in February or August 2027 Please note: If you have already applied for this position during the current recruitment season and were not selected, you may reapply when the next recruitment season begins in Summer 2027. We encourage you to focus on enhancing your skillset before reapplying. Due to current U.S. immigration and visa restrictions, some candidates may not be eligible to obtain the U.S. business visa required as part of our Global Traineeship Programme. As the programme includes mandatory training in the United States shortly after joining, we are unfortunately unable to proceed with applications from candidates who are unable to obtain the required visa within the programme timeline. If you are a dual passport holder of another nationality or a European citizen who wants to relocate back to Europe, you remain welcome to apply and should inform our campus recruitment team of your situation: CampusEU@imc.com . For more information on our technology interview process, please review our preparation guide here . About Us IMC is a research-driven trading firm where quantitative modeling, machine learning, and engineering shape how modern markets are traded. A stabilizing force in markets since 1989, we provide liquidity across trading venues, delivering the best outcome in value and risk management to investors. Using our own technology and capital, we build proprietary systems and algorithms that operate across global markets. Our researchers, traders, and engineers work as a collective, combining rapid experimentation, advanced infrastructure, and real-time feedback to turn insight into execution and execution into advantage.

Having the best technology drives our business. As a Hardware Engineer at IMC, you are responsible for spotting new opportunities, solving problems and developing new technologies. Our Hardware development process is innovative, pragmatic and fun, even as complexity grows. You will collaborate with team members and receive support from both a mentor and a lead who will oversee your projects and professional development. Your Core Responsibilities: Enhance your knowledge of trading, algorithm complexity, system design, and coding Work within different systems involving a mix of software and cutting-edge hardware technologies Develop hardware designs and tests Drive projects from ideation to production Explore innovative low-latency techniques to implement within our trading system Build relationships across our technology and trading teams Your Skills and Experience: Current university student graduating between September 2026 – July 2027 that is pursuing a degree in Electrical Engineering, Computer Engineering, or a related degree Strong analytical skills and a desire to solve complex problems programmatically Proficient in SystemVerilog, Verilog, VHDL, or other RTL programming (additional software experience is a plus; C++, Python, or similar) Desire to collaborate with non-engineers in a dynamic environment Interest in the Financial Markets; previous knowledge is NOT required Must be available for full-time employment starting in February or August 2027 You may submit one application per role each year. We strongly encourage you to focus on applying to a single role that best matches your skills and interests. Though you may apply to multiple roles, please note that each application will be evaluated based on the specific criteria established for that particular role. If you have already applied for this position during the current recruitment season and were not selected, you may reapply when the next recruitment season begins in 2027. The Base Salary range for the role is included below. Base salary is only one component of total compensation; all full-time, permanent positions are eligible for a discretionary bonus and benefits, including paid leave and insurance. Please visit Benefits - US | IMC Trading for more comprehensive information. Base Salary: $200,000 About Us IMC is a research-driven trading firm where quantitative modeling, machine learning, and engineering shape how modern markets are traded. A stabilizing force in markets since 1989, we provide liquidity across trading venues, delivering the best outcome in value and risk management to investors. Using our own technology and capital, we build proprietary systems and algorithms that operate across global markets. Our researchers, traders, and engineers work as a collective, combining rapid experimentation, advanced infrastructure, and real-time feedback to turn insight into execution and execution into advantage.

As a Graduate Machine Learning Researcher at IMC, your work will directly impact our global trading strategies. You will apply advanced machine learning, statistical, and computational techniques to solve complex, real-world trading problems, contributing to trading strategies across global equities, futures, and options markets. Machine Learning Researchers work closely with Traders and Developers in an environment where problem solving, innovation and teamwork are recognized and rewarded. Your Core Responsibilities: Design, implement, and evaluate machine learning models for trading applications, with successful research deployed into production Apply rigorous statistical techniques to measure performance, control overfitting, and understand model risk and interpretability Investigate novel machine learning approaches through rigorous experimentation and analysis in real trading environments Communicate research progress and outcomes effectively, ensuring knowledge transfer within the team and across departments Collaborate closely with traders, researchers, and engineers to translate research into production trading systems Your Skills and Experience: PhD in Machine Learning, Computer Science, Electrical Engineering, Mathematics, Statistics, Physics or a related quantitative field Strong foundations in machine learning, probability, and statistics, with experience applying advanced ML techniques to solve challenging research or real-world problems Demonstrated hands-on research experience in deep learning fundamentals such as neural network architectures, sequence modeling, training dynamics, or optimization Proficiency in Python and modern machine learning frameworks such as PyTorch, Tensorflow, and/or JAX Demonstrated research excellence through publications, preprints, research internships, or significant research projects; publications at venues such as NeurIPS, ICML, ICLR, or equivalent conferences are highly preferred Ability to commence full-time employment in February or August 2027 You may submit one application per role each year. We strongly encourage you to focus on applying to a single role that best matches your skills and interests. Though you may apply to multiple roles, please note that each application will be evaluated based on the specific criteria established for that particular role. If you have already applied for this position during the current recruitment season and were not selected, you may reapply when the next recruitment season begins in 2027. The Base Salary range for the role is included below. Base salary is only one component of total compensation; all full-time, permanent positions are eligible for a discretionary bonus and benefits, including paid leave and insurance. Please visit Benefits - US | IMC Trading for more comprehensive information. Base Salary: $300,000 About Us IMC is a research-driven trading firm where quantitative modeling, machine learning, and engineering shape how modern markets are traded. A stabilizing force in markets since 1989, we provide liquidity across trading venues, delivering the best outcome in value and risk management to investors. Using our own technology and capital, we build proprietary systems and algorithms that operate across global markets. Our researchers, traders, and engineers work as a collective, combining rapid experimentation, advanced infrastructure, and real-time feedback to turn insight into execution and execution into advantage.

As a Graduate Machine Learning Researcher at IMC, your work will directly impact our global trading strategies. You will apply advanced machine learning, statistical, and computational techniques to solve complex, real-world trading problems, contributing to trading strategies across global equities, futures, and options markets. Machine Learning Researchers work closely with Traders and Developers in an environment where problem solving, innovation and teamwork are recognized and rewarded. Your Core Responsibilities: Design, implement, and evaluate machine learning models for trading applications, with successful research deployed into production Apply rigorous statistical techniques to measure performance, control overfitting, and understand model risk and interpretability Investigate novel machine learning approaches through rigorous experimentation and analysis in real trading environments Communicate research progress and outcomes effectively, ensuring knowledge transfer within the team and across departments Collaborate closely with traders, researchers, and engineers to translate research into production trading systems Your Skills and Experience: Currently in your final year of study, graduating in 2027 A minimum of an MSc (PhD preferred) in Machine Learning, Statistics, Deep Learning, Probabilistic Programming, or a related quantitative field Strong foundations in statistics and machine learning, with a demonstrated research track record in ML, deep learning, or another quantitative field Proficiency in fundamental ML frameworks like Pytorch and experience in Python Solid understanding of statistics Desirable: publications in respected journals covering deep learning or time-series modeling No prior finance knowledge or experience required Ability to commence full-time employment in February or August 2027 You may submit one application per role each year. We strongly encourage you to focus on applying to a single role that best matches your skills and interests. Though you may apply to multiple roles, please note that each application will be evaluated based on the specific criteria established for that particular role. If you have already applied for this position during the current recruitment season and were not selected, you may reapply when the next recruitment season begins in August 2027. We encourage you to focus on enhancing your skillset before reapplying. Please note that, due to current regulations with the Immigratie en Naturalisatiedienst (IND), IMC is unable to obtain immigration sponsorship for candidates who currently have citizenship from Russia, Belarus or Iran, and attend university in one of the aforementioned countries. We greatly appreciate your understanding and hope to consider you for future opportunities. If you have citizenship from Ukraine, you will need to confirm that you currently hold a biometric passport so that IMC can obtain the correct immigration sponsorship for you. Please confirm by emailing CampusEU@imc.com . If you are currently residing or attending university outside of Russia, Belarus, or Iran, and have existing work authorisation in the Netherlands or are eligible to work without sponsorship, we encourage you to apply and inform our campus recruitment team of your situation: CampusEU@imc.com . About Us IMC is a research-driven trading firm where quantitative modeling, machine learning, and engineering shape how modern markets are traded. A stabilizing force in markets since 1989, we provide liquidity across trading venues, delivering the best outcome in value and risk management to investors. Using our own technology and capital, we build proprietary systems and algorithms that operate across global markets. Our researchers, traders, and engineers work as a collective, combining rapid experimentation, advanced infrastructure, and real-time feedback to turn insight into execution and execution into advantage.

Having the best technology drives our business. As a Software Engineer at IMC, you will drive the development of our cutting-edge trading algorithms. You will be responsible for spotting new opportunities, solving problems and developing innovative technologies. Software development here is innovative, pragmatic and fun, even as complexity grows. Your Core Responsibilities: Build and maintain our trading platform and software stack Bring our trading strategies and technology platform to the next level Collaborate with Traders, Quant Researchers and other Engineers both locally and globally Develop expertise within the entire software development lifecycle Learn new technologies and programming languages in a dynamic environment Your Skills and Experience: Current university student graduating between September 2026 – July 2027 that is pursuing a degree in Computer Science, Engineering, or a related technology field Must have strong knowledge of algorithms and data structures Proficiency in a programming language is required (Java or C++ preferred) Strong analytical skills and interest in solving complex problems programmatically Desire to interact and work closely with non-engineers in a dynamic environment Interest in the Financial Markets; previous knowledge is NOT required Must be available for full-time employment starting in February or August 2027 You may submit one application per role each year. We strongly encourage you to focus on applying to a single role that best matches your skills and interests. Though you may apply to multiple roles, please note that each application will be evaluated based on the specific criteria established for that particular role. If you have already applied for this position during the current recruitment season and were not selected, you may reapply when the next recruitment season begins in 2027. The Base Salary range for the role is included below. Base salary is only one component of total compensation; all full-time, permanent positions are eligible for a discretionary bonus and benefits, including paid leave and insurance. Please visit Benefits - US | IMC Trading for more comprehensive information. Base Salary: $200,000 #LI-DNP About Us IMC is a research-driven trading firm where quantitative modeling, machine learning, and engineering shape how modern markets are traded. A stabilizing force in markets since 1989, we provide liquidity across trading venues, delivering the best outcome in value and risk management to investors. Using our own technology and capital, we build proprietary systems and algorithms that operate across global markets. Our researchers, traders, and engineers work as a collective, combining rapid experimentation, advanced infrastructure, and real-time feedback to turn insight into execution and execution into advantage.

Your IMC journey as a Graduate Software Engineer will begin with a five-week Global Trainee Programme led by our seasoned engineers and traders alongside graduates from all three IMC regions: Europe, the United States, and Asia-Pacific. During this traineeship, you’ll deepen your knowledge about trading and financial markets, understand the tools and systems used at IMC, and learn how to write production software, craftsmanship and advanced topics in C++, Java or Python. Your training will continue back at your local office (Amsterdam or Aarhus), where you’ll receive support from your dedicated mentor, an experienced software engineer at IMC. What happens next is up to you – on our Execution teams you might build anything from advanced networks to proprietary algorithms, while on our Strategy teams you could design systems powering big data and cutting-edge analytics. YOUR CORE RESPONSIBILITIES Develop cutting-edge technology in advanced algorithms Support the development of our trading platform and software stack Gain experience across the entire software development lifecycle Collaborate with traders, quant researchers, and hardware engineers to improve our systems YOUR SKILLS AND EXPERIENCES In your ultimate year of study in computer science, software engineering, or a related field graduating, and are seeking to join IMC full-time in February or August 2026 Proficiency in C++ or Java is required. Additionally, experience with Python is preferred A working knowledge of algorithms and data structures First-class analytical skills and a desire to solve complicated problems programmatically A genuine interest in financial markets (no prior knowledge or experience is required) Please note: You’ll have the opportunity to complete the recruitment process in your preferred programming language (Java or C++). Please note, however, that exclusive use of one language cannot be guaranteed. If you have already applied for this position during the current recruitment season and were not selected, you may reapply when the next recruitment season begins in September 2026. We encourage you to focus on enhancing your skillset before reapplying. Due to U.S. consulate restrictions, candidates from certain nations (including Russia, Belarus, and Iran) are required to apply for their visa in a designated third country or to prove strong ties with a country of residency. Since the global traineeship begins shortly after employment starts, there is not enough time to establish the ties with the Netherlands which is needed for approval. As a result, we are unable to proceed with your candidacy for the graduate traineeship programme at this time. We greatly appreciate your understanding and hope to consider you for future opportunities. If you are a dual passport holder of another nationality or a European citizen who wants to relocate back to Europe, you remain welcome to apply and should inform our campus recruitment team of your situation: CampusEU@imc.com . For more information on our technology interview process, please review our preparation guide here . About Us IMC is a research-driven trading firm where quantitative modeling, machine learning, and engineering shape how modern markets are traded. A stabilizing force in markets since 1989, we provide liquidity across trading venues, delivering the best outcome in value and risk management to investors. Using our own technology and capital, we build proprietary systems and algorithms that operate across global markets. Our researchers, traders, and engineers work as a collective, combining rapid experimentation, advanced infrastructure, and real-time feedback to turn insight into execution and execution into advantage.

At IMC, technology is not a department; it's at the heart of everything we do. Developed in-house, our innovative software makes millions of trading decisions daily, and we win by making better and faster decisions than our competition. IMC's Amsterdam-based C++ Execution development teams work on software that sits directly in the latency-critical loop of our technology stack and touches every part of our organisation. We connect IMC to exchanges around the world, process massive volumes of market data in real time, execute complex trading algorithms, and integrate advanced hardware solutions where software alone isn't fast enough. Your Core Responsibilities As a software engineer, you'll work in multidisciplinary teams alongside other engineers, traders, researchers, and quants, both locally and across our global offices, taking ownership of end-to-end product development, from requirements gathering to production. You'll write reliable, high-performance software while balancing time to production with quality and testability. Advanced automated testing lets us deploy to production daily. Within a complex landscape of varying systems and technologies, you'll be constantly challenged to consider trade-offs between latency, throughput, simplicity, scalability and maintainability. Building and maintaining the systems that connect IMC to exchanges: parsing market data feed, managing order entry, and keeping us fast and reliable on the path where latency counts. Implementing and optimising execution logic in close collaboration with traders and quants, translating trading ideas into production code. Working with our hardware teams to integrate FPGA-based systems and low-latency network solutions into our trading stack. Measuring, profiling and improving the performance of our systems. Developing expertise across the entire software development lifecycle, learning from experienced engineers along the way. Your Skills and Experience 2-3 years of full-time professional work experience post-graduation Bachelor’s or Master’s degree in Engineering, Computer Science or a related field Strong knowledge of algorithms and data structures Solid programming skills in modern C++ (C++17 or later) An interest in how software actually runs on hardware: memory, caches, networking A high degree of flexibility and adaptability: willing and able to deal with uncertainty and ambiguity in a rapidly evolving environment Ability to solve problems creatively and proactively Curiosity and a willingness to learn. Interest in financial markets; previous knowledge is not required. About Us IMC is a research-driven trading firm where quantitative modeling, machine learning, and engineering shape how modern markets are traded. A stabilizing force in markets since 1989, we provide liquidity across trading venues, delivering the best outcome in value and risk management to investors. Using our own technology and capital, we build proprietary systems and algorithms that operate across global markets. Our researchers, traders, and engineers work as a collective, combining rapid experimentation, advanced infrastructure, and real-time feedback to turn insight into execution and execution into advantage.