Jobs at IMC Trading

Build software supporting AI-powered engineering workflows, including agent harnesses, developer workspaces, context delivery, MCP tooling, internal agents, and evaluation systems. Partner with engineering teams to define needs, own projects from design through rollout, and improve developer experience. Implement secure, reliable, observable integrations using strong software engineering practices, authentication, authorization, and secrets management.

Performance Engineer Interns conduct quantitative research on exchange and network technologies, design optimization strategies for electronic trading, develop AI agents, ETL pipelines, and Python algorithms, and reverse-engineer and stress-test low-latency systems. They collaborate with traders and hardware and software engineers to improve liquidity-taking, quoting, and ultra-low-latency trading strategies.

Partner with technology leaders and engineering teams on talent strategy, performance coaching, employee engagement, development, organizational change, and employee relations. Analyze people data to identify trends and proactively address talent challenges. Develop engagement plans, leader communications, and people initiatives while serving as a trusted advisor, change agent, and employee advocate across a fast-paced technology organization.

Architect and co-design machine learning models for custom hardware, accounting for latency, resource, and numerical constraints. Translate model requirements into hardware architecture decisions, collaborate with hardware engineers to implement and verify inference solutions, and deploy systems from proof of concept through production. Evaluate research in neural architecture search, ML systems, quantization, and compiler infrastructure for measurable performance improvements.

Supports global recruiting operations by improving processes, managing cross-functional projects, and enabling recruiters and coordinators. Evaluates AI and automation opportunities, pilots recruiting technology, partners with HRIS on ATS systems, creates documentation and training, and translates stakeholder feedback into operational improvements. Requires frequent travel to other offices and focuses on efficient, consistent recruiting outcomes across regions.

Conduct quantitative research for proprietary trading strategies by analyzing high-frequency market data, developing statistical and machine-learning models, building simulations and backtesting tools, and evaluating model performance. Collaborate with traders and developers to validate algorithms, improve pricing and execution, assess production readiness, prioritize research initiatives, and integrate validated models into low-latency trading systems. Mentor graduate researchers and interns.

Operate and improve global developer platform infrastructure supporting source control, CI/CD, artifact repositories, build systems, observability, and AI services. Responsibilities include reliability and performance optimization, high availability, disaster recovery, incident response, capacity planning, automation, on-call practices, cloud SaaS integration, and collaboration with global development teams. The role requires hands-on Linux, programming, Kubernetes, Docker, CI/CD, security, and infrastructure operations experience.

Designs, manages, and optimizes on-premises Kubernetes clusters and containerized applications. Responsibilities include CI/CD implementation, security configuration, infrastructure automation, storage and networking management, troubleshooting, upgrades, backups, and disaster recovery. The role collaborates with internal technology teams to provide reliable, scalable, and self-service platform capabilities.

Supports middle-office trade operations by reconciling trades, settlements, P&L, invoices, accounts, balances, and margin requirements. Investigates and resolves trade breaks, coordinates with trading, IT, clearing firms, and risk teams, and supports onboarding of exchanges and platforms. The role also manages datasets, produces reports, identifies automation opportunities, and contributes to operational improvements in a fast-paced financial markets environment.

Support researchers and ML engineers to optimize and scale HPC workloads on CPU/GPU infrastructure. Analyze performance, diagnose bottlenecks across storage, networking, and schedulers, implement profiling and benchmarking, influence platform design, and define best practices for shared compute environments while ensuring security and compliance.

Develop and maintain trading platform software and trading algorithms, identify technical opportunities, solve complex problems, and collaborate with traders, quantitative researchers, and engineers. The role involves working across the software development lifecycle, learning new technologies, and applying strong algorithmic and analytical skills in a dynamic financial markets environment.

Develop and automate verification solutions for complex hardware systems. Collaborate with RTL and software teams, create system- and block-level testbenches, use UVM and EDA tools, automate regression testing, and track coverage metrics through verification closure in a Linux environment.

Provides in-house corporate legal support for an international proprietary trading organization. Responsibilities include advising on corporate law, entity structures, intracompany transactions, tax matters, and organizational actions; drafting and negotiating agreements; preparing legal memoranda; and supporting contracts, regulatory safeguards, and cross-functional business objectives.

Conduct research on low-latency machine learning inference and hardware acceleration. Architect and implement an ML research project, collaborate with hardware engineers, evaluate neural architecture search and quantization methods, and deploy solutions on FPGAs or custom ASICs. Present findings and deliver a prototype or benchmark while assessing performance, engineering costs, and industry impact.

Own global strategic sourcing for storage infrastructure and SaaS categories, including vendor strategy, renewals, license optimization, consolidation, negotiations, consumption-based spend governance, and supplier relationships. Partner with engineering, infrastructure, security, and finance teams on storage and software investments. Lead vendor evaluations, monitor market trends, mitigate risk, and coach sourcing teams.

Own global hardware sourcing strategy across GPUs, servers, networking, storage, and enterprise equipment. Manage executive relationships with strategic vendors representing $300M-$500M+ in annual spend, negotiate complex supply agreements, secure constrained GPU and component allocations, optimize costs and total cost of ownership, and mitigate supply-chain risks. Partner with engineering, finance, and capacity planning leaders on infrastructure roadmaps and investment decisions while coaching sourcing teams globally.

Conduct quantitative research to design, implement, and deploy mathematical trading models. Build custom tools for exploratory analysis, apply rigorous quantitative techniques to solve complex problems, and collaborate with traders and developers to productionize models while maintaining best practices.

Develop and maintain backend systems, automation, databases, data pipelines, dashboards, and visualization tools supporting finance, trading, and operations teams. Improve processing efficiency, system performance, and data accessibility across a global business intelligence environment. Collaborate with BI developers and business stakeholders while working with large datasets. The role requires Python, SQL, cloud, containerization, CI/CD, and agentic coding tool experience.

Interest form for students who want to learn more about the 2027 US Chess Academy. Applicants join a prospect list and may receive information about upcoming opportunities, program updates, and how to play.

Build, operate, and scale large-scale data storage platforms (Hadoop, S3-compatible, enterprise storage). Tune Linux for I/O performance, automate deployments with Ansible/Puppet, implement observability with Prometheus, and partner with engineers on storage- and Kafka-focused data solutions. Familiarity with Kubernetes and development in Java/Python required.