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About the Role
Develop a multi-tenant research compute platform capable of dynamically orchestrating large scale ML workloads across a hybrid compute infrastructure of GPUs and CPUs. Work closely with Quant Researchers, Portfolio Managers, and Infrastructure teams, to build a unified, elastic, and multi-tenant research substrate.
Responsibilities
- Design intuitive platform abstractions, APIs, scheduler wrappers, and a durable job control plane for seamless researcher simulation and training launches.
- Build a multi-tenant compute substrate combining HPC-grade batch scheduling with cloud-native flexibility, enforcing strict tenant isolation.
- Establish infrastructure agnostic execution abstractions for compute workloads across multiple on-premise datacenters or external cloud providers.
- Evaluate, select, and integrate production-grade job graph orchestration engines to automate multi-stage pipelines.
- Implement automated failure detection, retry-on-fault mechanisms, and high-performance checkpointing for long-running distributed jobs.
- Profile and eliminate I/O bottlenecks, ensuring distributed ML workloads align with high-speed network fabrics and high-performance storage.
- Implement comprehensive telemetry to track compute utilization, queue pressure, and GPU/CPU cost attribution.
Requirements
- Deep experience with HPC job schedulers (e.g., Slurm), including gang scheduling, fair-share priority trees, topology-aware node allocation, and containerized HPC execution.
- Advanced understanding of Kubernetes architecture, CRDs, HPC focused operators, admission controllers and GPU-native schedulers.
- Familiarity with distributed computing frameworks (e.g., Ray) and deep learning frameworks (e.g., PyTorch, JAX) with multi-node scaling primitives.
- Hands-on experience evaluating, architecting, and operating job graph orchestration frameworks.
- Experience designing vendor-agnostic infrastructure layers, cloud-bursting strategies, and compute execution spanning multiple on-premise datacenters and public cloud environments.
- Familiarity with high-performance storage solutions and high-speed network fabrics for large scale research workloads.
- Proven track record building cluster-wide telemetry and cost-attribution platforms for multi-tenant environments.
- A strong platform engineering mindset focused on reducing friction for researchers while maintaining rigorous operational efficiency, cost transparency, and system scalability.
Location
- NYC’s Financial District
Work Type
- Hybrid working opportunities
Salary/Compensations
- $200,000-$300,000
Benefits
- 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
- Company-sponsored sports teams and fitness events
- Volunteer opportunities and charitable giving
- Social events, happy hours, treats, and celebrations throughout the year
- Workshops and continuous learning opportunities
About the Company
- Tower Research Capital is a leading quantitative trading firm founded in 1998, built on a high-performance platform and independent trading teams with a 25+ year track record of innovation.
- Tower is home to some of the world’s best systematic trading and engineering talent, empowering portfolio managers to build their teams and strategies independently.
- Engineers thrive at Tower while developing electronic trading infrastructure at a world class level, solving challenging problems in low-latency programming, FPGA technology, hardware acceleration and machine learning.
- Ongoing investment in top engineering talent and technology ensures our platform remains unmatched.
- Every employee plays a role in our success; Business Support teams are essential to building and maintaining the platform that powers everything we do.
- Business Support teams enable our trading and engineering teams to perform at their best.
- Employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential.
- 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.
- We believe work should be both challenging and enjoyable, fostering 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.
- 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.
Equal Opportunity
- Tower Research Capital is an equal opportunity employer.