Posted 19 days ago
Lead System Engineer
AI Summary
Leads system-level design, architecture, thermal-hydraulic engineering, validation and reliability of liquid cooling distribution units (CDUs) for data centre and AI/HPC applications. Coordinates with controls, suppliers and manufacturing through product development.
About this role
Key Responsibilities
System Architecture & Design
- Lead overall CDU system design and architecture development from concept through production.
- Define thermal, hydraulic, mechanical, electrical, and controls requirements.
- Develop system specifications, performance requirements, and validation plans.
- Perform system trade-off studies balancing performance, reliability, serviceability, cost, and scalability.
- Establish platform architecture for future CDU product families.
Thermal & Hydraulic Engineering
- Design liquid cooling loops for direct-to-chip and rear-door heat exchanger applications.
- Perform thermal performance calculations and heat rejection analysis.
- Size and select:
- Pumps
- Plate Heat Exchangers
- Expansion Tanks
- Valves
- Flow Sensors
- Air Separators
- Filters and Strainers
- Evaluate pressure drop, flow distribution, NPSH, and pump operating envelopes.
- Define operational limits including:
- Cooling capacity
- ATD
- Flow loading
- Temperature ranges
- Glycol concentrations
Modelling & Simulation
Knowledge of - CFD tools, MATLAB, Simulink1D Flow Network Model, CAD, Will be added advantage, Refrigeration Cycle Simulation
Develop and validate system models against physical test data.
Create correction-factor methodologies and system performance prediction tools.
Support digital twin and predictive engineering initiatives.
Product Validation & Qualification
- Define DVT and regulatory test plans.
- Lead system qualification activities.
- Correlate test results with analytical models.
- Investigate performance deviations and root causes.
- Drive reliability growth and design robustness.
Controls & System Integration
- Work closely with controls and software teams.
- Define control sequences for:
- Pump modulation
- Flow control
- Temperature control
- Redundancy management
- Fault detection
- Validate system operation during transient and fault conditions.
Reliability & Serviceability
- Drive serviceability-focused designs.
- Conduct:
- DFMEA
- Design Reviews
- Risk Assessments
- Failure Analysis
- Improve MTBF and field reliability.
- Develop innovative maintenance and modular service concepts.
Product Development Leadership
- Participate in New Product Development (NPD) programs.
- Mentor design engineers and SMEs.
- Interface with suppliers for component evaluation and qualification.
- Support manufacturing, sourcing, quality, and field service teams.
Innovation & Intellectual Property
- Identify patentable technologies and innovative system solutions.
- Drive invention disclosures and patent filings.
- Benchmark competitors and emerging cooling technologies.
Required Qualifications
Education
- B.E./B.Tech. or M.E./MTech. in:
- Mechanical Engineering
- Thermal Engineering
- Fluid Engineering
- Energy Systems
Experience
- 8-10 years of experience in thermal-fluid systems.
- 5+ years designing liquid cooling systems/CDUs/chillers/HVAC/ industrial fluid systems.
- Experience with AI/HPC/Data Centre cooling preferred.
Technical Skills
Strong Knowledge Of:
- Heat Transfer
- Fluid Mechanics
- Thermodynamics
- Pump Selection
- Heat Exchanger Design
- System Curves
- Pressure Drop Analysis
- Thermal Qualification
- Reliability Engineering
Standards Knowledge
- ASME
- ANSI
- AHRI
- UL
- CE
- IEC
- SEMI Standards
- Data Centre Cooling Best Practices
Preferred Experience
- Cooling Distribution Units (CDU)
- Direct-to-Chip Liquid Cooling
- Immersion Cooling
- Chilled Water Systems
- Data Centre Thermal Management
- AI Infrastructure Cooling
- High-Density Rack Cooling
Skills
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