Jobs at IMC Trading

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.

Recruiter responsible for full-cycle hiring across technology and business operations. Partners with hiring managers, develops sourcing strategies, builds talent pipelines, assesses candidates, manages recruitment agencies, delivers strong candidate experiences, and improves recruiting processes using data and market insights.

Designs, implements, maintains, and optimizes North American networking infrastructure connecting trading operations, data centers, exchanges, and global offices. Responsibilities include network architecture, engineering projects, performance optimization, monitoring, incident resolution, documentation, reporting, and support for UNIX, Windows, SAN, and data center deployments. The role also requires troubleshooting advanced network technologies and mentoring junior network team members.

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.

Conduct quantitative research on exchange technology and large datasets, design strategies for ultra-low-latency trading, and develop AI agents, ETL pipelines, and Python algorithms. Reverse-engineer and stress-test network and systems technologies, collaborating with traders and hardware and software engineers to optimize liquidity-taking and quoting strategies.

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The Quantitative Developer will develop systems from research to production, build simulation infrastructure, manage feature pipelines, and troubleshoot issues in quantitative trading environments.

As a Software Engineer, you will build AI systems to enhance developer workflows, implementing agents and servers, and ensuring code reliability through evaluation pipelines.

Design, build, and operate big-data and streaming platforms (Kafka, Hadoop, Dremio). Develop, deploy, and monitor data pipelines using Java, Python, Spark/Flink; collaborate on data modeling and ingestion, ensure data integrity and availability, act as a Big Data SME, and perform root-cause analysis.

Design and verify next-generation ASICs for latency-sensitive trading systems. Responsibilities include RTL development in SystemVerilog, verification and testing, debugging, integration, tooling and automation, and cross-team collaboration to meet performance and reliability goals.

Lead end-to-end IT audits globally to assess design and operating effectiveness of internal controls across technical platforms. Provide actionable recommendations, drive change, write clear reports, build relationships, and travel internationally (~25%).

Identify and engage experienced ML and quantitative research talent through creative sourcing channels, build pipelines, perform market mapping, partner with recruiters and hiring managers, and track sourcing metrics to inform hiring strategy.

This position is an opportunity to fill a form for future job matching after the ASPLOS Conference with IMC Trading.

Serve as a strategic HR advisor to NYC business leads, driving talent strategy, performance coaching, engagement, data-driven insights, change initiatives, employee relations, and cross-HR collaboration to improve retention, development, and organizational effectiveness.

As a Technical Product Manager, you will lead the development of trader-facing tools, collaborating with traders and engineers to enhance workflows and decision-making tools in trading.

Design, implement, and deploy ML inference engines on custom FPGA/ASIC hardware. Perform HW/SW co-design with traders and researchers, optimize neural networks for low latency, and build quantization/compression tools to translate ML frameworks to RTL for rapid production deployment.

The Lead UX Designer will define user interactions, enhance trading tools through research, and create efficient workflows, working closely with engineers and researchers.

This role involves ensuring system continuity in trading operations, developing automation tools, and improving system performance in a trading 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.

Maintains physical servers, network devices, cabling, racks, and IT infrastructure across colocation data centers. Responsibilities include installations, hardware troubleshooting, vendor RMAs, inventory and shipments, documentation, rack optimization, and coordination with colocation and remote-hands teams. The role also supports office IT infrastructure, requires local travel between facilities, occasional flexible hours, and the ability to lift up to 60 pounds.