Role Overview
We are looking for a System Engineer to join our R&D team and play a key role in designing and delivering customized solutions for our customers. This position combines technical system design with cross-functional collaboration, particularly during the presales phase.
Key Responsibilities
- Lead system engineering and architecture design for customer-specific solutions
- Collaborate with Sales and partners during the presales phase to ensure successful deal execution
- Analyze customer requirements and identify critical design challenges
- Investigate and resolve complex system-level issues
- Work closely with multidisciplinary R&D teams to refine and optimize product designs
- Contribute as an active and collaborative member of the engineering team
Qualifications
- B.Sc. in Mechanical Engineering (required)
- 2–5 years of experience in system engineering or a related field
- Strong knowledge of heat transfer, thermodynamics, and fluid mechanics
- Excellent problem-solving and analytical skills
- Strong communication and interpersonal abilities
- Fluent English (written and spoken)
Why Join ZutaCore?
At ZutaCore, you’ll work on cutting-edge technology in a fast-paced, innovative environment. We offer the opportunity to make a real impact in a rapidly evolving industry while growing alongside a talented and passionate team.
Skills Required
- B.Sc. in Mechanical Engineering
- 2-5 years of experience in system engineering or a related field
- Strong knowledge of heat transfer, thermodynamics, and fluid mechanics
- Excellent problem-solving and analytical skills
- Strong communication and interpersonal abilities
- Fluent English (written and spoken)
What We Do
ZutaCore’s waterless, direct-to-chip liquid cooling, with its exclusive pool boiling technology, represents a fundamental shift from traditional air or single-phase liquid cooling. Instead of moving heat away gradually, it removes it instantly at the source by turning liquid into vapor, keeping processors consistently cool even under the most extreme workloads. For operators, the impact is immediate: Higher performance per rack — Run more AI and HPC workloads in the same footprint. Lower energy costs — Drive PUE and pPUE closer to the ideal of 1.0, cutting power bills dramatically. Greater reliability — Eliminate risks of condensation, corrosion, or hardware damage. Sustainability gains — Reduce both water and electricity use, accelerating ESG progress.
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