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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.

Chief of Staff serving as a strategic and operational partner to trading leadership. Coordinates cross-functional initiatives, manages milestones and stakeholders, supports budgeting, vendor oversight, staffing, strategic planning, communications, and process improvement. Performs daily PnL reconciliation checks and escalates discrepancies. The role requires strong analytical, financial, organizational, communication, and stakeholder-management skills, with an in-office presence in Chicago four days per week.

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.