Information Technology System Architect

Zyoin Group

Bengaluru

On-site

INR 4,000,000 - 6,000,000

Full time

14 days+
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Job summary

Zyoin Group is seeking a senior IT infrastructure and systems engineering leader in Bengaluru to shape and operate the company’s high-performance compute and storage platforms for EDA workloads.

The role emphasizes ownership, automation, and scalable architectures across on-prem and cloud deployments, with a focus on reliability, cost efficiency, and rapid delivery in a fast-paced startup environment.

Qualifications

  • Bachelor’s degree in Computer Science, Electrical Engineering, or related field.
  • 15+ years of experience in IT infrastructure / systems engineering, preferably in semiconductor or EDA environments.

Skills

Compute clusters
Job schedulers
Large-scale infra
Networking fundamentals
Cloud (AWS)
Ownership mindset
Automation & scalability

Education

Bachelor’s degree in CS/EE or related

Tools

EDA tools (Synopsys Cadence Siemens/Mentor)

Job description

  • Bachelor’s degree in Computer Science, Electrical Engineering, or related field
  • 15+ years of experience in IT infrastructure / systems engineering, preferably in semiconductor or EDA environments
  • Strong experience with:
  • EDA tool environments (Synopsys, Cadence, Siemens/Mentor)
  • Compute cluster management and job schedulers (LSF, Slurm, etc.)
  • Experience managing large-scale compute and storage systems
  • Strong understanding of networking fundamentals (high-performance networks preferred)
  • Experience with cloud platforms (AWS preferred)
Preferred Qualifications
  • Experience supporting SoC design teams (RTL, DV, Analog)
  • Familiarity with analog simulation environments and their compute demands
  • Experience with hybrid cloud architectures
  • Exposure to GPU infrastructure and AI/ML workloads
  • Experience with security and compliance in IP-sensitive environments
Key Attributes
  • Strong ownership and end-to-end accountability mindset
  • Ability to balance technical depth with strategic decision-making
  • Bias toward automation, scalability, and efficiency
  • Strong problem-solving and operational excellence
  • Comfortable working in a fast-paced startup environment
Success Metrics
  • Reliable, scalable infrastructure supporting high engineering productivity
  • Optimized EDA license utilization and cost efficiency
  • Effective cloud vs on-prem strategy with measurable ROI
  • Minimal downtime and high system availability
  • Secure and efficient AI infrastructure adoption
  • Ability to scale infrastructure seamlessly with company growth
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