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2 days ago
Job Title: Software Engineering Leadership
About the Role:We are seeking a highly skilled software engineering leader to join our team.
Key Responsibilities:- Design and implement robust test infrastructure to provide a reliable environment for developers and testers.
- Analyze, optimize, and improve current architecture of various components of test Infra tools, including integration.
- Implement containerized test infra with full on-prem/cloud portability compatible with various job management systems like LSF, SLURM, and Kubernetes orchestration framework.
- Develop strategies to leverage AI/ML models at various stages of testinfra.
- Drive and implement next-gen QOR (Quality of results for FPGA designs) regression execution and reporting.
- Oversee and provide development support to team members.
- Collaborate with cross-functional teams, provide technical support, and troubleshoot migration to next-generation tools, CI/CD, containerization, Kubernetes, and cloud tooling issues.
- Create comprehensive documentation, mentor junior team members, and conduct training sessions.
- 12+ years of professional technical experience and at least 5 years of experience in design and implementation of product developments.
- Experience in developing tools around test Infra automation.
- Expert in structured and OOP in Python.
- Proficiency in scripting and automation languages (e.g., Python, Bash, Csh).
- Linux and Windows shells working environment.
- Understanding of AI/ML principles and some experience in applying LLM and ML models in tool development.
- Experience with working in DevOps environments like GitHub, Perforce version control systems, containerization technologies like Docker, Kubernetes orchestration, and CI/CD pipelines using Jenkins or GitHub actions.
- Additionally, experience with monitoring and logging tools for containerized environments (e.g., Prometheus, Grafana, ELK Stack).
- Excellent problem-solving abilities with a keen eye for detail are highly valued.
- Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent.
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