Data Center Mechanical Engineer

Jane Street Jane Street · Quant · New York, NY · Real Estate Engineering

Seeking an experienced Data Center Mechanical Engineer to manage cooling infrastructure for high-density AI workloads, supporting trading operations. This role involves designing, implementing, and monitoring power and cooling systems, bridging theoretical design with practical compute needs, and collaborating with ML researchers and engineers. Requires deep understanding of data center infrastructure from power distribution to chip level, with a focus on GPU/HPC systems.

What you'd actually do

  1. Working closely with internal engineers as well as external vendors and consultants to design, implement, and monitor the operation of our data center power and cooling systems
  2. Consulting internally with technology stakeholders to understand our compute needs and how they translate to our infrastructure needs
  3. Develop and review design documentation, including cooling and power calculations, CFD studies, failure analysis, etc.
  4. Work with our internal controls and monitor team to strategize on the control sequence of operation and monitoring approaches
  5. Be able to abstract complex cooling constraints into clear, concise constraints for other technology teams to consume

Skills

Required

  • Mechanical, computer, or electrical engineering degree
  • 10+ years of experience in thermal/mechanical engineering or data center engineering
  • Direct experience with multi-megawatt GPU deployments and high-density computing environments
  • Hands-on experience working in data centers and a deep understanding of hardware engineering and data center operations
  • Strong project management skills
  • Ability to balance systems-level, operational thinking with practical engineering
  • Comfort with making decisions in the face of ambiguity and negotiating ideas across a diverse set of groups
  • Intellectual humility, curiosity, and a collaborative spirit

Nice to have

  • deep understanding of the full data center infrastructure stack
  • understands how a data center is designed, built, and used for the most demanding AI workloads
  • operation, management, and monitoring of the thermal environment
  • bridge the gap between theory and practice
  • design, implement, and monitor the operation of our data center power and cooling systems
  • understand our compute needs and how they translate to our infrastructure needs
  • cooling and power calculations, CFD studies, failure analysis
  • control sequence of operation and monitoring approaches
  • abstract complex cooling constraints into clear, concise constraints for other technology teams to consume
  • research and develop future data center solutions
  • Building and leading an interdisciplinary team that includes ML researchers and engineers
  • Bridging the knowledge gap between data center infrastructure and GPU/HPC systems
  • support our ML/compute cluster
  • Designing and overseeing the implementation of cooling systems for high-density GPU and trading systems
  • support data centers in other areas, with a special focus on our ML and compute clusters
  • transform the way we think about power usage in our data centers
  • innovator in this space
  • build something truly exceptional

What the JD emphasized

  • deep understanding of the full data center infrastructure stack
  • demanding AI workloads
  • deep familiarity of the work within the facility
  • bridge the gap between theory and practice
  • ML researchers and engineers
  • Bridging the knowledge gap between data center infrastructure and GPU/HPC systems
  • support our ML/compute cluster
  • high-density GPU and trading systems
  • special focus on our ML and compute clusters
  • transform the way we think about power usage in our data centers
  • innovator in this space
  • build something truly exceptional