Job Description
Required 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
- Strong experience with:
- EDA tool environments (Synopsys, Cadence, Siemens/Mentor)
- Linux system administration
- 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
- Scripting skills (Python, Bash, etc.) for automation
- 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
Job location: Bangalore
Workmode: Hybrid
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