Research Platform Engineer — Hybrid ML/HPC & Multi-Tenant

Tower Research Capital

New York (NY)

Presencial

USD 200 000 - 300 000

Tempo integral

há 23 horas
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Uma candidatura completa num minuto

Currículo e carta de apresentação personalizados, prontos a enviar.

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Vantagens oferecidas por esta oferta de emprego

Generous paid time off policies
Savings plans and other financial welI
Hybrid working opportunities
Free breakfast, lunch, and snacks
In-office wellness experiences
Company-sponsored sports teams and фит
Volunteer opportunities and charitable
Social events and learning
Workshops and continuous learning

Resumo da oferta

Tower Research Capital is a leading quantitative trading firm with a high-performance platform and independent trading teams. Tower has a 25+ year track record of innovation and a global footprint.

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.

Qualificações

  • Deep experience with HPC job schedulers like Slurm and related concepts.
  • Advanced understanding of Kubernetes architecture and GPU-native schedulers.
  • Experience with distributed ML frameworks (Ray) and DL frameworks (PyTorch/JAX).
  • Hands-on experience evaluating and operating job graph orchestration frameworks.

Responsabilidades

  • Elevate Researchers' Experience with platform abstractions and durable job control.
  • Architect multi-tenant scheduling and isolation across trading desks.
  • Enable cross-datacenter and cloud portability for compute workloads across on-prem and cloud.
  • Standardize workflow orchestration for multi-stage ML pipelines.
  • Build fault-tolerant pipelines with checkpointing and retries.
  • Optimize data paths with high-speed storage and networks.
  • Deliver telemetry and cost attribution for resource usage.

Conhecimentos

HPC Administration
Kubernetes-native Engineering
Distributed ML Computing
Workflow Orchestration
Multi-Platform Architecture
Storage & Network Performance
Compute Observability
Architectural Leadership

Ferramentas

Slurm
Kubernetes
Ray
PyTorch
JAX

Descrição da oferta de emprego

Tower Research Capital is a leading quantitative trading firm with a high-performance platform and independent trading teams. Tower has a 25+ year track record of innovation and a global footprint.

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.

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