The Systems Development team builds and maintains the platform that is shared by all Systems teams to provision, monitor, and manage HRT’s server and network infrastructure. As a Systems Software Engineer with a focus on Security, your main focus will be tool development in Python and Go to engineer creative solutions to security challenges. You’ll improve and integrate our existing tools and libraries across the platform, as well as design and build new ones to make trading, research, installation, and monitoring systems easier to manage, more secure, and more reliable. Strong Python skills and development experience are required, along with Unix experience and interest in the security space.

This role offers a unique opportunity to make a significant impact on a critical part of our existing and growing infrastructure. Your responsibilities will vary, but a typical day in the life might look like:

• Building and maintaining tools and software features to automate systems engineering workflows related to secure machine provisioning, monitoring, metrics collection, maintenance, secrets management, and network configuration
• Troubleshooting software bugs on a fleet of Linux machines, including application, network, operating system, and/or kernel issues
• Writing configuration management code to build, deploy, and maintain new services
• Helping to set the general direction for the Systems Python platform
• Working across HRT’s engineering teams to help create solutions to a variety of security challenges

Qualifications

Required:

• Strong Python programming
• Ability to debug and analyze problems quickly
• Ability to learn at a fast pace and apply new skills effectively
• Strong grasp of computer science fundamentals and software design patterns
• Solid understanding of Linux/UNIX operating systems 
• Interest in and awareness of security best practices

Preferred:

• Understanding of Debian operating system
• Familiarity with systems configuration management and monitoring technologies 
• Familiarity with continuous integration and continuous deployment tools and processes
• Understanding of networking protocols

Profile

• BS and/or MS in computer science or a related field
• 2+ years of relevant experience, including programming in Python
• Experience using automation to solve problems and improve process efficiency
• Acts effectively as a team player, but also works well independently 
• Skilled at juggling multiple tasks while maintaining meticulous attention to detail
• Familiarity with open-source software

Hudson River Trading (HRT) is a quantitative trading firm at the forefront of technological innovation. We build and deploy cutting-edge systems within one of the world’s most advanced computing environments to power our global trading operations. Our bottom-up approach to projects and collaborative coding environment empower talented engineers to make significant contributions and see their impact daily. At HRT, you'll be challenged to solve the most complex problems in trading alongside many of the brightest minds in the field.

We are always seeking highly motivated and skilled Software Engineers across many different teams at HRT. These roles demand exceptional programming fundamentals, sharp debugging abilities, and strong critical thinking and communication skills. Engineers at HRT work on a wide variety of platform and trading-adjacent projects. Examples include:

• Improving scheduling efficiency of distributed computations, speeding up research iteration.
• Enhancing developer experience through language tooling, jupyter extensions, and AI tools.
• Leveraging LLMs to make operational support tasks faster and more efficient.
• Profiling computer usage at all levels, from system calls to large scale distributed computations.
• Building systems to interact with trading venues and monitor risk.

Responsibilities

• Design, develop, and maintain robust, efficient, and scalable software systems.
• Debug complex issues across distributed systems in a time-sensitive environment.
• Contribute to all phases of the software development lifecycle, from ideation to deployment and support.
• Deliver exceptional experiences for internal users; your success will be directly tied to your ability to understand the needs of the people around you and apply your technical skills to efficiently meet them.

Qualifications

• Completed a Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field. If you are currently pursuing your Bachelor's degree, please apply to our Campus/New Grad opportunities.
• Previous experience at a top-tier finance or technology company with an excellent track record of rapid advancement and superlative reviews.
• Experience with applications of cutting-edge technology is preferred; being a core contributor to said technology is even better.
• Candidates should be prepared for technical interviews in Python. While there is no hard language requirement for these roles, proficiency in one this language will be assessed during the interview process.
• Kindness and empathy is a real requirement. No “smart jerks” at HRT. 
• Strong understanding of data structures, algorithms, and design principles.
• Excellent communication skills, both written and verbal.
• HRT ships every day. The ability to thoughtfully, methodically, and reliably deploy new software and features is a critical skill. 
• If you have management experience, that’s always a bonus – but even so, expect to code!

The estimated base salary range for this position is 200,000 to 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.

For more info about interviewing at HRT, see this blog!

The Research and Development (R&D) team at Hudson River Trading (HRT) builds and maintains the computers, networks, data storage, operating systems, and software that allow our trading strategies and research environment to operate worldwide 24/7. The Storage team within R&D manages hundreds of petabytes of storage to facilitate industry-leading AI/ML-based trading.

We are seeking an experienced Storage Engineer who enjoys being challenged, appreciates an open and collaborative organizational structure, and thrives in a fast-paced environment. In this role, you will manage our existing storage infrastructure and be responsible for the design, automation, and management of future storage solutions to support our large-scale research environment. This is an exciting opportunity to join a small team focused on HPC storage and help set the direction for storage solutions at HRT. You’ll have freedom to research, propose, and test new hardware and software to improve the performance and usability of our research environment.

Responsibilities

• Design, deploy and manage a variety of storage solutions
• Troubleshoot complex storage, OS, and networking issues
• Build tools to improve the performance and monitoring of storage clusters
• Research and experiment with new storage solutions

Qualifications

• Knowledge of distributed file systems used for large-scale cluster computing (Lustre, CephFS, GPFS, etc.) 
• Ability to design a home grown NAS storage solution with redundancy and high availability
• 3+ years of experience in HPC-like environments with large scale storage deployments greater than 1PB
• 3+ years of experience with scale-out enterprise storage solutions such as Isilon, VAST, NetApp, and Pure
• Extensive experience with Linux troubleshooting and NFS
• Strong knowledge of Linux, ZFS, and other Linux filesystems
• Proficient in Python and shell scripting 
• Strong cross-functional communication skills
• Ability to analyze and solve problems quickly in a fast-paced environment
• Exceptional time management skills and the ability to balance independent and collaborative workflows 
• Eager to learn and apply new skills

The estimated base salary range for this position is 150,000 to 250,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.

Hudson River Trading (HRT) is seeking a Software Engineer focused on GPU reliability to join our Systems Development team. The Systems Development team builds and maintains the platform that is shared by all Systems teams to provision, monitor, and manage HRT’s server and network infrastructure. In this role, your main focus will be to develop tools in Python to analyze the performance of GPU hardware and build creative solutions to improve observability, reliability, and efficiency of the fleet. You’ll work closely with other engineering teams to deeply understand research and trading workflows and ensure that GPU infrastructure is utilized optimally. Strong Python skills and development experience are required, along with Unix experience and a background of managing GPU hardware at scale.

Responsibilities

This role offers a unique opportunity to make a significant impact on a critical part of our existing and growing infrastructure. Your responsibilities may vary day to day, but will include:

• Building and maintaining tools and software features to automate systems engineering workflows related to GPU management, monitoring, metrics collection, maintenance, and network configuration
• Troubleshooting software and hardware bugs on a fleet of GPU devices, including application, network, operating system, and/or kernel issues
• Working across HRT’s engineering teams to tune workloads and processes to use GPUs more efficiently 
• Analyzing GPU job statistics to identify trends and areas for improvement

Qualifications

Required:

• BS and/or MS in computer science or a related field
• 2+ years of relevant experience, including programming in Python and managing GPUs
• Experience using automation to solve problems and improve process efficiency
• Experience working with, troubleshooting, tuning, and deploying various types of GPU hardware
• Strong grasp of computer science fundamentals and software design patterns
• Solid understanding of Linux/UNIX operating systems 
• Familiarity with open-source software
• Ability to debug and analyze problems quickly
• Skilled at balancing multiple tasks while maintaining meticulous attention to detail
• Ability to operate effectively as a team player and also work independently 
• Ability to learn at a fast pace and apply new skills effectively

Preferred:

• Understanding of Debian operating system
• Familiarity with systems configuration management and monitoring technologies 
• Familiarity with continuous integration and continuous deployment tools and processes
• Understanding of networking protocols

The estimated base salary range for this position is 200,000 to 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. 

This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package which includes medical, dental, vision, basic life insurance, and enrollment in our company’s retirement savings plans. Employees will receive sick and parental leave, as well as other paid time off (including 20 vacation days and 10 paid holidays in the US). Please note that benefits and time off policies will vary across non-US locations.

Hudson River Trading (HRT) is looking for Systems Engineers to join our growing Research & Development team. This team builds and maintains exceptionally large and growing distributed compute clusters, multi petabyte-scale storage layers, operating systems, automation software, and development tools. We have incredibly large GPU and CPU compute clusters, larger than most national labs. We are building or have built our own on-prem data centers globally and have teams focused on industry leading compute, network, storage and power optimization. Our people and our compute capabilities are our two most important differentiators, and that is where we are investing the most.

As a full-time Systems Engineer, you’ll work on projects that impact our live trading and research and allow them to run worldwide 24/7. A typical day could include scaling and keeping our HPC environment running smoothly or designing and building services to improve HRT’s research environment, but responsibilities are broad! Your day could also consist of hardware and software installation and configuration, remote administration, monitoring, new hardware and software testing, automation and tool development, and performance tuning. 

Responsibilities

• Plan/execute technical projects to make our Linux trading systems (hardware, network, OS, etc) faster, adaptable, and more maintainable
• Manage and optimize large scale distributed compute/HPC clusters
• Automate/troubleshoot a broad range of technical infrastructure 
• Troubleshoot hardware and software issues
• Operating system installation and upgrading
• Performance testing and tuning
• Scripting to automate repetitive tasks
• Working with vendors to resolve issues

Qualifications

• 5+ years of relevant experience
• Expertise in installation, configuration, and troubleshooting of Linux systems
• Comfortable using Linux/UNIX command line tools
• Experience with configuration management tools
• Python and Shell scripting experience
• Attention to detail needed to manage and debug production services
• Strong communication and organization
• You enjoy tinkering with technology in your spare time
• Exceptional communication skills - this role will require cross-collaboration with various stakeholders across HRT
• You are resourceful, have a sense of urgency, and are motivated to make things better and to always be learning
• Ability to context switch to work on several projects at once 
• Experience and knowledge of Debian/Ubuntu is a plus
• GPU Optimization experience is a plus

The estimated base salary range for this position is 150,000 to 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.

Hudson River Trading (HRT) is looking for GPU Systems Engineers to help scale and evolve our exceptionally sophisticated HPC/AI research environment. 

Joining our Research and Development team, you will collaborate with experts responsible for the compute, storage, operating systems, and automation tools that enable our trading and research to run 24/7 across the globe. We design, grow, and operate infrastructure at a large scale, including triple-digit petabyte-scale storage and massive CPU and GPU clusters in globally distributed data centers. As such, this is a high-impact role with broad scope, from HPC/AI cluster design and performance tuning, to troubleshooting and automation for thousands of nodes.

Responsibilities

• Design, build, and optimize large-scale distributed GPU compute clusters
• Identify and resolve GPU workloads’ performance bottlenecks across compute, storage, and networking layers
• Collaborate with research and development teams to profile, benchmark, and fine-tune GPU-based workloads
• Automate system deployment, monitoring, and troubleshooting across thousands of nodes
• Collaborate with research, and engineering teams to support evolving workloads
• Own critical infrastructure projects — from concept to implementation and support
• Test and deploy new hardware and software, and partner with vendors to resolve complex issues

Qualifications 

• 5+ years of experience in large-scale Linux systems engineering in HPC, AI or distributed infrastructure roles.
• Extensive experience in Linux system installation, performance tuning, and troubleshooting
• Expertise in troubleshooting distributed GPU workloads
• Deep knowledge around GPU optimization and performance  
• Proficiency in Python scripting and automation frameworks 
  • CUDA or C/C++ experience is a plus
• Experience with NVIDIA technologies beyond CUDA, such as NCCL, GPUDirect RDMA, and NVLink 
• Familiarity with configuration management tools (e.g. Salt, Ansible, Puppet, Chef)
• Comfortable diagnosing complex system issues at the hardware, OS, and network levels
• Strong communication and organizational skills; able to collaborate across diverse technical teams
• Thrive in fast-paced environments and excited by high-impact work

The estimated base salary range for this position is 150,000 to 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. 

This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package which includes medical, dental, vision, basic life insurance, and enrollment in our company’s retirement savings plans. Employees will receive sick and parental leave, as well as other paid time off (including 20 vacation days and 10 paid holidays in the US). Please note that benefits and time off policies will vary across non-US locations.

Hudson River Trading (HRT) is a quantitative trading firm at the forefront of technological innovation. We build and deploy cutting-edge systems within one of the world’s most advanced computing environments to power our global trading operations. Our non-siloed, collaborative coding environment empowers talented engineers to make significant contributions and see their impact daily. At HRT, you'll be challenged to solve the most complex problems in trading alongside many of the brightest minds in the field.

We are seeking highly motivated and skilled Research Engineers who will work very closely with our Algo Developer (Quant Research) trading teams. These roles require exceptional programming fundamentals, a strong user focus, and the ability to thrive in a fast-paced environment with constantly evolving requirements. Multitasking and context switching are inherent aspects of this role, through which you will gain insight into the ideation and execution of some of the world's most sophisticated trading strategies.  

Research Engineers at HRT work on a wide variety of projects. Examples include:

• Designing highly customized quantitative systems that enable Algo Developers to easily express and backtest new predictive signals.
• Building world-class research tooling to speed up Algo Developers’ research iteration.
• Aiding the development and deployment of very large deep learning models for HRT’s live trading.
• Improving HRT’s monetization systems which turn our predictions into profitable trades.
• Evaluating sim vs. live differences to improve the fidelity of our simulations.
• Building systems to monitor and manage live trading.
• Specializing in specific time horizons, from high frequency trading to mid-to-low frequency hedge fund-style strategies.
• Working across a very wide variety of asset classes (from equities to fixed income to options) and regions (from North America to Asia Pacific) – you’ll interact with markets across the world!

Responsibilities

• Design, develop, and maintain robust, performant, and scalable software systems.
• Optimize existing codebases for performance, reliability, and efficiency.
• Debug complex issues across distributed systems in a time-sensitive environment.
• Optimize both the mechanics and ergonomics of Algo Developer research workflows; this requires developing a deep intuition for research methodologies.
• Balance the short term goals of individual trading teams with the longer term goals of HRT’s generalized trading platforms across trading teams. Because we don’t work in a pod environment, REs on different trading teams are expected to share technology and ideas.

Qualifications

• Completed a Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field. If you are currently pursuing your Bachelor's degree, please apply to our Campus/New Grad opportunities.
• Previous experience at a top-tier finance or technology company with an excellent track record of rapid advancement and superlative reviews.
• Experience with supporting internal users is preferred; bonus if you have real hands-on experience with quant research and/or ML/Deep Learning platforms.
• Experience with python numerical, ML and data-oriented libraries is a big plus (e.g. pandas, scikit, pytorch, etc.)
• Candidates should be prepared for technical interviews in either Python or C++. While there is no hard language requirement for RE roles, proficiency in one of these languages will be assessed during the interview process.
• Kindness and empathy is a real requirement. No “smart jerks” at HRT. 
• Strong understanding of data structures, algorithms, and design principles.
• Excellent communication skills, both written and verbal.
• HRT ships every day. The ability to thoughtfully, methodically, and reliably deploy new software and features is a critical skill. 
• If you have management experience, that’s always a bonus – but even so, expect to code!

The estimated base salary range for this position is 200,000 to 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.

For more info about interviewing at HRT, see this blog!

Hudson River Trading (HRT) is a quantitative trading firm at the forefront of technological innovation in global financial markets. We build and deploy cutting-edge systems within one of the world’s most sophisticated computing environments for large-scale research and trading. Our research cluster is the backbone of our success—an HPC environment with GPU and CPU fleets larger than many national labs—and our people are our most important differentiator.

We are seeking a Hardware Strategy & Technology Partnership Lead to bridge the gap between hardware engineering and the technology supply chain. In this role, you will be the primary architect of HRT’s relationships with OEMs, ODMs, and silicon vendors. The ideal candidate understands the CSPs’ business models and how they differentiate, and possesses the expertise to navigate both the bare-metal world and the hyper-scaler ecosystem to ensure HRT always has a competitive edge in compute power and efficiency. You understand the "chip and server" business at a molecular level—not just what an R200 GPU or a Venice processor can do, but how the supply chain, the margins, and vendor roadmaps dictate the industry’s future.

Responsibilities

• Strategic Relationship Management: Lead HRT’s primary relationships with top-tier silicon (CPU/GPU/Storage), server and cloud vendors. Partner with their engineering and product teams to influence roadmaps and secure early access to next-gen tech.
• Vendor Negotiations: Own the end-to-end commercial and technical negotiation process. Leverage your deep understanding of BOM (Bill of Materials) costs and industry margins to drive the best outcomes for HRT’s global infrastructure.
• Supply Chain Intelligence: Act as our internal "SemiAnalysis/SemiAccurate" equivalent. Stay ahead of industry trends, tracking foundry shifts, packaging innovations, and geopolitical impacts on the hardware market to advise our leadership on long-term strategy. Help us decide when to build, when to go to the cloud, and how to optimize our footprint across global data centers.
• Cross-Functional Collaboration: Work side-by-side with our R&D and Trading Tech engineers and data center teams to deeply understand HRT's technology and business, and translate that knowledge into long-term strategic and acquisition planning.

Qualifications

• Deep Industry Knowledge: You have a "feet on both sides" profile, with a background that likely includes time at a major hardware vendor, a hyper-scaler, or a top-tier industry research firm.
• Technical Fluency: You can talk shop with hardware engineers about PCIe lanes, memory bandwidth, and thermal envelopes, but you can also walk into a boardroom and negotiate a multi-million dollar master purchase agreement.
• Market Strategy: You have a proven track record of solving complex infrastructure needs for large-scale compute environments.
• Entrepreneurial Spirit: You are a self-starter who is motivated by the excitement of being at the cutting edge of automation and hardware efficiency.

This job is accepting ongoing applications and there is no application deadline.

The estimated base salary range for this position is 200,000-300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience.

This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package which includes medical, dental, vision, basic life insurance, and enrollment in our company’s retirement savings plans. Employees will receive sick and parental leave, as well as other paid time off (including 20 vacation days and 10 paid holidays in the US). Please note that benefits and time off policies will vary across non-US locations.

In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

Hudson River Trading (HRT) is looking for a Senior Software Engineer to focus on our Treasury Infrastructure. Coders at HRT work on small, highly productive, and efficient teams that design, improve, and maintain the technology that powers worldwide trading — at HRT, the code you write is our business. You’ll have an opportunity to work closely with Treasury Quantitative Researchers and our Funding Team to design and develop HRT's Treasury Optimization and Research Platform.

We are looking for highly skilled programmers who love to code and solve complex problems, appreciate a culture of collaboration, and thrive in a performance-driven environment. You can always expect to be challenged by the ever-changing financial markets, and find yourself working on critical software in an extremely fast-paced, real-time environment.

Responsibilities

• Contribute to the engineering design and development of HRT’s Treasury Optimization Platform.
• Collaborate with Treasury Researchers on HRT’s Treasury Research Infrastructure.
• Collaborate with Quantitative Developers as well as our Funding and Finance teams on managing cash and collateral requirements.

Qualifications

• Completed a Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field. If you are currently pursuing your Bachelor's degree, please apply to our Campus/New Grad opportunities.
• Working experience in Python and good CS fundamentals.
• Proficiency with numerical computing libraries (Numpy, PyTorch, TensorFlow) is a plus.
• Knowledge of global portfolio financing and funding is a plus.
• Strong problem-solving skills and ability to work in a fast-paced environment.
• Excellent communication skills and ability to collaborate with engineers, researchers, and non-technical teams.

The estimated base salary range for this position is 200,000 to 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.

Working as a coder at Hudson River Trading (HRT) means working on a small, highly productive, and efficient team. You may see "trading" in our name and assume you'll be relegated to some dark corner to code for the "business," but that could not be further from the truth! 

At HRT, an automated trading firm based in NYC, the code you write *is* our business, so it is everyone's job to make sure our developers have everything they need to do their jobs well.

As a member of the AI Tools team, you will be responsible for increasing productivity across the company by integrating the newest AI tools into our users’ workflows. Whether it’s for a Python developer writing a web app, a C++ developer speeding up order execution, a researcher investigating trade signals, or even Business Development meeting with vendors - we are focused on deploying what works.

This is an exciting opportunity to help build and define the AI tooling ecosystem at HRT. You will have to navigate the rapidly evolving options in this space, and adapt them to our own internal systems. You might be fixing auth one day, comparing vendors the next, and coding a new MCP the third. 

Responsibilities

• Help us develop software that improves productivity for every office and department at HRT while using the latest technologies and techniques in software engineering and the broader AI tooling ecosystem.
• HRT has many high-impact areas where we are integrating AI tools; here’s what you could work on:
• Writing a custom MCP wrapper around internal resources.
• Fine-tuning a new code completion model.
• Deploying a new coding assistant across all developer and researcher environments.
• Developing evaluations and iterating on an autonomous coding agent.
• Collaborating with security to improve AI sandboxing.
• Presenting and educating users on best practices.

Profile

• You’re one of the top devs in your current organization, as measured by productivity, technical capability, and helpfulness to other devs.
• Experience deploying and maintaining applications. You’ve managed an application from the design phase through the production phase.
• You’re comfortable with defining direction in an environment of ambiguity and uncertainty. The AI tooling space changes rapidly.
• You really like to work with people who challenge you and make you better at what you do.
• In your spare time you code, tinker, read, explore, break things, and have an insatiable curiosity for all things AI and computer-related.

Qualifications

• Completed a Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field. If you are currently pursuing your Bachelor's degree, please apply to our Campus/New Grad opportunities.
• Python experience is required, daily use of most recent standards preferred.
• C++ and JavaScript (TypeScript, React) experience a plus.
• Experience with the AI tooling ecosystem (use coding assistants/agentic workflows, ideally have built your own customizations).
• Superior design, debugging, and problem solving skills.
• Knowledge of UNIX operating systems (we use Linux), system/processor performance, and network communication.

The estimated base salary range for this position is 200,000 to 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.