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Runware

Generative AI platform with fast inference

Lead / Senior Cooling Systems Design Engineer

Thermal & Fluids EngineeringConfirmed live in the last 24 hours
Full-timeBucharest, Romania

About the Job

Requirements

  • An engineering degree in mechanical engineering, thermal engineering, refrigeration, or a related discipline, or equivalent practical experience.
  • Strong fundamentals in thermodynamics, heat transfer, and fluid mechanics, with substantial equipment design expertise in at least one of the described cooling technologies: dry cooling or compressor-based refrigeration.
  • Evidence of cooling systems personally designed, supported through fabrication, and successfully tested.
  • Ability to turn calculations into manufacturable designs and complete, accurate engineering documentation.
  • Experience designing equipment for applicable European and US requirements and collaborating across mechanical, electrical, controls, and manufacturing disciplines.
  • Proficiency in relevant engineering calculation, equipment selection, simulation, and mechanical CAD tools. Examples include REFPROP, Güntner Product Calculator, Ansys Fluent, and SolidWorks; equivalent tools are welcome. Understanding of the physics, assumptions, boundary conditions, and limitations behind calculations, and recognizing when further validation is needed.

Responsibilities

  • Translate cooling loads, ambient conditions, temperature limits, space constraints, efficiency targets, and noise requirements into clear engineering specifications and justified design margins.
  • Perform heat balances, heat-transfer calculations, heat-exchanger sizing, airflow calculations, hydraulic calculations, and pressure-drop analysis, accounting for fluid properties and realistic operating conditions.
  • Select and size components within the specialist area, including coils, fans, pumps, compressors, valves, expansion devices, piping, and insulation, using supplier performance data and operating limits.
  • Evaluate full-load and part-load performance, extreme ambient conditions, and energy consumption. Develop thermal and fluid models, validate assumptions, and use simulation where it improves design decisions.
  • Produce detailed layouts, 3D assemblies, fabrication drawings, piping and instrumentation diagrams, refrigeration schematics where applicable, bills of materials, component schedules, and technical specifications.
  • Define materials, dimensions, tolerances, connections, joining methods, service clearances, and assembly requirements so manufacturing teams can build and inspect the equipment.
  • Develop control sequences, operating envelopes, sensor requirements, alarms, interlocks, and protection functions with electrical and controls engineers, including startup, shutdown, and fault behavior.
  • Work directly with suppliers and manufacturing teams to resolve fabrication issues and improve designs for assembly, maintenance, cost, and repeatable production.
  • Plan prototype testing and instrumentation. Compare measured capacity, temperatures, flow, pressure drop, power consumption, and noise against predictions; investigate discrepancies and refine the design.
  • Prepare commissioning procedures, acceptance criteria, and controlled production documentation.
  • Identify applicable European and US requirements covering refrigerants, pressure equipment, product safety, electrical integration, energy efficiency, and environmental compliance. Work with certification specialists and test laboratories to establish requirements and evidence for each product. For refrigerant systems, assess relevant EU F-gas and US EPA Technology Transitions and SNAP requirements according to equipment category and intended application.

About the Company

Runware

Generative AI platform with fast inference

Runware.ai provides a fast, cost-effective platform to deploy AI-generated content through an API that hides infrastructure complexity. It runs AI workloads on custom hardware in renewable-energy data centers using the Sonic Inference Engine, with real-time WebSocket connections for low-latency, scalable performance. It differentiates itself with a proprietary engine, dedicated hardware, built-in redundancy, autoscaling, GPU allocation, and access to over 188,000 models, enabling seamless integration without ML expertise. Its goal is to democratize access to generative AI for businesses by making it easy to add AI capabilities without heavy hardware costs or specialized know-how.

Company size
51-200
Company stage
Series A
Total funding
$66M
Headquarters
London, United Kingdom
Founded
2023

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