Top Tech Jobs & Startup Jobs

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%).

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.

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.

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

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.

The Senior Data Analyst will build dashboards, develop ETL pipelines, provide insights on workforce trends, and collaborate with HR and Finance stakeholders.

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.

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.