--- title: 'Research Platform Engineer at Tower Research Capital' canonical: 'https://feeny.ai/job/research-platform-engineer-tower-research-capital-new-york-5pa6tzxh0250' type: 'job' last_seen: '2026-10-13' --- # Research Platform Engineer at Tower Research Capital - **Company:** Tower Research Capital - **Location:** New York, NY - **Posted:** 2026-10-02 - **Last confirmed live:** 2026-10-13 - **Apply:** https://www.tower-research.com/open-positions/?gh_jid=8095925 ## Job description Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world’s best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do — combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Summary As part of Tower Research's Core Engineering team, you will develop a multi-tenant research compute platform capable of dynamically orchestrating large scale ML workloads across a hybrid compute infrastructure of GPUs and CPUs. Your primary mission is to work closely with Quant Researchers, Portfolio Managers, and Infrastructure teams, to build a unified, elastic, and multi-tenant research substrate. ## Key Responsibilities - Elevating Researcher Experience: Design intuitive platform abstractions, APIs, scheduler wrappers, and a durable job control plane so researchers can seamlessly launch simulations, distributed training runs, and complex research pipelines without incurring infrastructure overhead - Architecting Multi-Tenant Scheduling & Isolation: Build a multi-tenant compute substrate combining HPC-grade batch scheduling (gang scheduling, topology awareness, fair share) with cloud-native flexibility, enforcing strict tenant isolation across trading desks - Enabling Multi-Datacenter & Multi-Cloud Compute Portability: Establish infrastructure agnostic execution abstractions that enable compute workloads to run transparently across multiple on-premise datacenters or burst into external cloud providers - Standardizing Workflow Orchestration: Evaluate, select, and integrate production-grade job graph orchestration engines to automate multi-stage feature, training, and backtesting pipelines - Building Fault-Tolerant Research Pipelines: Implement automated failure detection, retry-on-fault mechanisms, and high-performance checkpointing to ensure long-running distributed jobs survive hardware degradation and faults without manual intervention - Optimizing Data-Paths: Profile and eliminate I/O bottlenecks, ensuring distributed ML workloads align with high-speed network fabrics and high-performance storage - Delivering Observability & Cost Transparency: Implement comprehensive telemetry to track compute utilization, queue pressure, and GPU/CPU cost attribution, giving Portfolio Managers and Senior Management clear visibility into resource consumption and ROI Technical Requirements - HPC Administration: Deep experience with HPC job schedulers (e.g., Slurm), including gang scheduling, fair-share priority trees, topology-aware node allocation, and containerized HPC execution - Kubernetes-native Engineering: Advanced understanding of Kubernetes architecture, CRDs, HPC focused operators, admission controllers and GPU-native schedulers - Distributed ML Computing Frameworks: Familiarity with distributed computing frameworks (e.g., Ray) and deep learning frameworks (e.g., PyTorch, JAX) with multi-node scaling primitives - Workflow Orchestration Expertise: Hands-on experience evaluating, architecting, and operating job graph orchestration frameworks - Multi-Platform Architecture: Experience designing vendor-agnostic infrastructure layers, cloud-bursting strategies, and compute execution spanning multiple on-premise datacenters and public cloud environments - Storage & Network Performance: Familiarity with high-performance storage solutions and high-speed network fabrics for large scale research workloads - Compute Observability: Proven track record building cluster-wide telemetry and cost-attribution platforms for multi-tenant environments - Architectural Leadership Mindset: A strong platform engineering mindset focused on reducing friction for researchers while maintaining rigorous operational efficiency, cost transparency, and system scalability Anticipated annual base salary range $200,000-$300,000, plus eligible for discretionary bonus Tower’s headquarters are in the historic Equitable Building, right in the heart of NYC’s Financial District and our impact is global, with over a dozen offices around the world. At Tower, we believe work should be both challenging and enjoyable. That is why we foster a culture where smart, driven people thrive – without the egos. Our open concept workplace, casual dress code, and well-stocked kitchens reflect the value we place on a friendly, collaborative environment where everyone is respected, and great ideas win. Our benefits include: - Generous paid time off policies - Savings plans and other financial wellness tools available in each region - Hybrid working opportunities - Free breakfast, lunch, and snacks daily - In-office wellness experiences and reimbursement for select wellness expenses (e.g., gym, personal training and more) - Company-sponsored sports teams and fitness events (JPM Corporate Challenge, Cycle for Survival, Wall Street Rides FAR and more) - Volunteer opportunities and charitable giving - Social events, happy hours, treats, and celebrations throughout the year - Workshops and continuous learning opportunities At Tower, you’ll find a collaborative and welcoming culture, a diverse team and a workplace that values both performance and enjoyment. No unnecessary hierarchy. No ego. Just great people doing great work – together. Tower Research Capital is an equal opportunity employer. ## About Tower Research Capital ## Company Overview - **One-liner**: Tower Research Capital is an American quantitative trading firm that builds high-performance technology platforms for systematic trading across all asset classes, markets, and time horizons. - **Entity Type**: Private (Privately Held) - **Headquarters**: New York, New York, United States - **Founded**: 1998 - **Founders**: Mark Gorton, Alistair Brown ## Core Business - **Primary industry**: Financial Services (Quantitative Trading, High-Frequency Trading, Liquidity Provision) - **Target customers**: Institutional (the firm trades for its own capital; it provides a platform for systematic portfolio managers and quantitative trading teams) - **Mission or purpose statement**: To create an environment that empowers quantitative trading teams to innovate and reach their greatest potential, powered by a high-performance technology platform [tower-research.com](https://tower-research.com/) ## Products & Services - **Quantitative Trading Platform**: A proprietary, high-performance technology stack supporting every aspect of trading and research — market access, data management, quantitative research, compute infrastructure, compliance, and risk management. - **Systematic Portfolio Management**: A platform that allows dozens of independent trading and research teams to build and execute strategies while benefiting from economies of scale. - **Liquidity Provision**: Market-making and liquidity services across a massive range of asset classes, products, regions, and venues. - **Tower Ventures**: An investment arm for evaluating business opportunities and supporting new ventures. ## Market Standing - **Valuation/Market Cap**: Not publicly available (private company) - **Key Metric**: Annual Revenue of $600.0M (estimated, per LinkedIn data) [linkedin.com](https://www.linkedin.com/company/tower-research-capital) - **Notable Investors/Partners**: The firm is founder-owned; no external venture investors listed. Key partners include exchanges and trading venues globally. - **Growth Signals**: Headcount of 997 employees (+15.3% YoY, +191 people); operates in 21 countries with 11 offices (New York, Chicago, South Charleston, Montreal, London, Amsterdam, Gurgaon, GIFT City, Singapore, Hong Kong, Shanghai); 64 active job postings; 204,460 LinkedIn followers (+20.7% yearly growth) [linkedin.com](https://www.linkedin.com/company/tower-research-capital) ## Competitive Advantages - **25+ Year Track Record**: One of the longest-standing quantitative trading firms, with a proven ability to adapt to new market opportunities. - **Platform-First Model**: Unlike many hedge funds, Tower provides a shared high-performance platform (technology, data, infrastructure, risk management, compliance) that allows independent trading teams to focus purely on alpha generation. - **Continuous Investment**: Robust, ongoing investment in market access, data, research, compute infrastructure, low-latency technology, and machine learning. - **Team-Based Structure**: Dozens of independent trading and research teams operate autonomously while benefiting from the firm’s scale, creating an entrepreneurial environment within a stable organization. - **Cutting-Edge Engineering**: Engineers work on the latest advances in machine learning, wireless telecommunication, hardware acceleration, and low-latency programming. ## Strategic Focus - **Talent Acquisition**: Continuous investment in top trading, engineering, and business support talent as the firm’s primary growth driver. - **Technology Leadership**: Building the fastest, most scalable, highest-performing trading technology stack in the industry. - **Global Expansion**: Operating across 21 countries with a growing presence in key financial hubs (GIFT City, Singapore, etc.). - **Diversification**: Expanding across asset classes, products, regions, and venues to capture new market opportunities. ## Why Work Here - **Culture**: Values excellence, teamwork, integrity, respect, and innovation. Described as a stimulating, results-oriented environment that values entrepreneurs and self-starters [tower-research.com](https://tower-research.com/about-us/) - **Work Style**: Team-based structure with autonomy and independence; cross-functional collaboration encouraged. "Calm and Focus" is a stated value — the firm emphasizes maintaining composure when the unexpected occurs [tower-research.com](https://tower-research.com/careers/) - **Remote/Hybrid**: "Possibilities for hybrid work" are mentioned as a perk [tower-research.com](https://tower-research.com/careers/) - **Perks**: - Discretionary and team-based bonuses - 5 weeks of paid vacation per year - Robust medical benefits plans - 401(k) with company matching (US employees) - Complimentary in-office meals daily - Regular social gatherings and events - Professional development workshops - Donation matching program - **Engineering Culture**: Engineers work on cutting-edge problems in machine learning, wireless telecom, hardware acceleration, and low-latency programming. The interview process is described as straightforward — "no gotcha questions, random logic problems, or abstract, overly academic discussions" [tower-research.com](https://tower-research.com/careers/) - **Career Growth**: Commitment to supporting employee growth with professional development workshops and a focus on helping employees reach their full potential. ## Sources 1. [tower-research.com](https://tower-research.com/) 2. [tower-research.com/about-us/](https://tower-research.com/about-us/) 3. [tower-research.com/careers/](https://tower-research.com/careers/) 4. [linkedin.com/company/tower-research-capital](https://www.linkedin.com/company/tower-research-capital) ## Other roles at Tower Research Capital - [Director, Business Management](https://feeny.ai/job/director-business-management-tower-research-capital-new-york-f93cb6q1g1j2) — New York, NY - [Développeur de logiciels / Software Developer](https://feeny.ai/job/developpeur-de-logiciels-software-developer-tower-research-capital-montreal-mtz3kmje91t1) — Montréal, Canada - [Analyst, Business Management](https://feeny.ai/job/analyst-business-management-tower-research-capital-singapore-b24gvk94btbv) — Singapore - [Systems Developer, PAAS / Développeur de systèmes, PAAS](https://feeny.ai/job/systems-developer-paas-developpeur-de-systemes-paas-tower-research-capital-p79xvfjsfpp5) — Montréal, Canada - [Trading Operations Specialist](https://feeny.ai/job/trading-operations-specialist-tower-research-capital-grand-cayman-rxf6692g1b7v) — Grand Cayman, Cayman Islands - [Manager, Procurement](https://feeny.ai/job/manager-procurement-tower-research-capital-new-york-9b6eqmctr3s7) — New York, NY - [Software Engineer, C++ - Graduate Opportunity](https://feeny.ai/job/software-engineer-c-graduate-opportunity-tower-research-capital-hong-kong-bvgsaf9mt5h9) — Hong Kong, Singapore - [Trading Operations Engineer](https://feeny.ai/job/trading-operations-engineer-tower-research-capital-singapore-geh6m649dnwk) — Singapore - [Data Center Engineer](https://feeny.ai/job/data-center-engineer-tower-research-capital-hong-kong-nmwr1qhhtqan) — Hong Kong, Singapore - [Director, Business Management - APAC Equities](https://feeny.ai/job/director-business-management-apac-equities-tower-research-capital-hong-kong-r19sw850cpcz) — Hong Kong, China / Shanghai, China