Sr Systems Engineer
9 days ago Shanghai, China
About us
Cadence is a pivotal leader in computational software.
- Size: 10,000+ employees
- Industry: Technology: Manufacturing
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At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.
Job Description
Position Requirements:
Education & Experience
Duties & Skills
Specific Ongoing Duties
We're doing work that matters. Help us solve what others can't.
Job Description
Position Requirements:
Education & Experience
- Four Year degree (Computer Science, Information Systems or relational functional field) and/or equivalent combination of education or work experience.
- 6-8 years of professional experience in the field of Information Technology and preferably in EDA industry
- Experience with Linux system admin, performance fine tuning, compiler optimization, kernel, tcp/ip fine tuning. Knowledge of cpu/memory internals and processes would be an advantage.
- Operating system platform technology knowledge from major vendors and open source solutions, including Linux, LSF, Slurm, Elastic Search, Jenkins, etc.
- Experience with Cloud Computing architecture in a hybrid model will be a significant benefit.
- Should have good scripting knowledge and DevOps skills for automation tasks
- Hands-on experience and Good knowledge with troubleshooting various user job issues in a Compute farm.
- Should have good communication skills both verbal and written
- Should be self-driven and dynamic in a fast-paced environment.
Duties & Skills
- Provide Day to Day Farm support to Linux based Compute Farm (OnPrem & Cloud)
- Able to support the system upgrades and work load migrations, acceptance testing, and maintenance.
- Able to understand R&D specific requirements and current technology trends.
- Virtualization & Cloud knowledge would be an advantage.
Specific Ongoing Duties
- Provide system/farm, storage, and networking expertise for timely resolution of R&D user issues in compute farms.
- Work closely with R&D user community to improve user productivity and farm resource utilization.
- Regular knowledge transfers to direct team and cross-functional peers in IT.
- Automate the repeated activities to create bandwidth.
- Work with global teams in different time zones to achieve common goals.
We're doing work that matters. Help us solve what others can't.
Additional Information
- Posted: 9 days ago