This role pays more than
86%
of similar roles. Most pay
$153,100–$223,800
— the shaded band above.
At the midpoint, this role pays about
$236k
versus about
$188k
for comparable roles.
Based on 240 similar postings.
Employer
About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has
896 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 876 roles with salary data.
As a Senior Data Center Cooling Systems Engineer, you will join the team to develop efficient liquid-cooling solutions for high-density computing across rack, facility, and campus infrastructure. You will be responsible for developing and evaluating single-phase liquid-cooling and pumped refrigeration systems while linking rack-level needs with heat rejection and plant controls. Your daily work involves using engineering analysis and simulation to study thermal performance, fluid flow, pressure, and system response. You will collaborate with suppliers and research partners to advance cooling products and translate technical findings into build requirements and technology roadmaps. Required expertise includes thermodynamics, fluid mechanics, and heat transfer. You will utilize tools such as Cadence Reality DC Build, Ansys, Siemens Simcenter STAR-CCM+, or Flownex to solve complex thermal challenges involving energy use, water consumption, reliability, acoustics, and waste-heat recovery in high-density environments.
Develop and evaluate single-phase liquid-cooling and pumped refrigeration systems for high-density computing.
Integrate rack-level cooling requirements with facility-scale heat rejection and plant controls.
Perform engineering analysis and simulations to study thermal performance, fluid flow, pressure, and system response.
Evaluate build options based on energy use, water consumption, reliability, footprint, noise, and cost.
Partner with suppliers and research collaborators to advance cooling and heat-rejection products.
Plan tests and compare simulation predictions against measured performance data.
Translate technical findings into build requirements, reference architectures, supplier specifications, and technology roadmaps.
What we're looking for
Master’s degree in Mechanical Engineering, Thermal Engineering, Energy Engineering, Refrigeration Engineering, or a similar field of study.
Over 12 years of experience in data center cooling, liquid cooling, refrigeration, thermal systems, heat rejection, or critical facilities.
Knowledge of thermodynamics, fluid mechanics, heat transfer, refrigeration cycles, and thermal-hydraulic systems.
Experience in at least one area: direct liquid cooling, pumped refrigeration, two-phase cooling, facility cooling, heat rejection, acoustics, or waste-heat recovery.
Experience with equipment such as coolant distribution units, chillers, pumps, heat exchangers, cooling towers, or dry coolers.
Experience with computational fluid dynamics or fluid-network modeling tools like Cadence Reality DC Build, Ansys, Siemens Simcenter STAR-CCM+, Flownex, or comparable software.
Ability to translate engineering analysis into practical builds, test plans, technical requirements, and implementation recommendations.
Clear communication skills and experience working with suppliers, research partners, and multi-functional engineering teams.
PhD in Mechanical Engineering, Thermal Sciences, Refrigeration, Energy Systems, or a related field (preferred).
Experience with hyperscale data centers, high-performance computing systems, or other high-density computing environments (preferred).
Experience with pumped two-phase refrigeration, flow boiling, advanced liquid cooling, or low-global-warming-potential refrigerants (preferred).
Experience addressing water use, facility noise, waste-heat recovery, or other community concerns (preferred).
Contributions to standards, patents, technical publications, or industry research communities (preferred).