Senior Technical Lead - Post Silicon Validation

HCL Technologies Limited; United States; In loco; USD 120.000 - 160.000; Tempo pieno

Descrizione del lavoro

HCL Technologies Limited in the United States is seeking a Senior Technical Lead for Post Silicon Validation to lead automation efforts in data center networks. You will design, implement, and maintain automated test scripts and frameworks to validate new silicon and product features.

Collaborate with engineering leads to translate test plans into robust tests, run validation in lab environments, and drive improvements in coverage and reporting through CI/CD pipelines and Linux-based tooling.

Competenze

• 5–10 years in test automation or software engineering.
• Proficiency in Python for test automation.
• Strong networking fundamentals (data center networks, TCP/IP, BGP/OSPF).

Mansioni

• Develop, implement, and maintain automated test scripts and frameworks for data center product validation.
• Execute network tests including traffic generation and switch validation in data center environments.
• Perform manual testing where automation is not yet available.
• Contribute to and reuse the automation framework.
• Translate test designs into robust automated test suites with engineers.
• Support test execution in lab environments for NPIs.
• Identify opportunities to improve test coverage and reporting.

Conoscenze

Python

Networking fundamentals

CI/CD

Linux/Unix

Test automation

Formazione

Bachelor's degree in CS/EE/Networking

Master's degree (preferred)

Strumenti

Ixia

Spirent

Descrizione del lavoro

Career Opportunities: Senior Technical Lead - Post Silicon Validation (187629)

Requisition ID187629-Posted10/29/2026

We are seeking two skilled Automation Engineers with a strong networking background to join
our customers' Data Center Network Engineering Product Introduction team. These roles are
critical to bridging the gap between test design and test automation. You will work closely with
full-time engineering leads who design test plans for new data center products, and your
primary responsibility will be to automate those tests and execute validation in a data center
networking environment

Key Responsibilities

• Test Automation: Develop, implement, and maintain automated test scripts and frameworks for data center network product validation
• Network Testing: Execute network tests including traffic generation between servers, packet drop analysis, and switch validation in data center environments
• Manual Testing: Perform manual testing as needed for platforms where automation is being developed or where coverage gaps exist
• Framework Development: Contribute to and leverage the automation framework for test automation
• Collaboration: Work closely with full-time engineering leads to translate test designs and manual test plans into robust automated test suites
• Lab Environment: Support test execution in lab environments for new data center product introductions (NPI)
• Continuous Improvement: Identify opportunities to improve test coverage, automation efficiency, and reporting

Skill Requirements

• 5 to 10 years of professional experience in test automation or software engineering
• Strong proficiency in Python or similar scripting/programming languages used for test automation
• Solid understanding of networking fundamentals including:
• Data center network architectures
• Switches and routing protocols
• Network traffic analysis and packet-level troubleshooting
• TCP/IP, BGP, OSPF, or similar networking protocols
• Experience with test automation frameworks and CI/CD pipelines
• Ability to write, maintain, and debug automated test scripts
• Familiarity with Linux/Unix environments

Other Requirements

• Experience with data center network testing or network product validation
• Experience with network traffic generation tools (e.g., Ixia, Spirent, or similar)
• Knowledge of data center switch platforms and configurations
• Bachelor's or Master's degree in Computer Science, Electrical Engineering, Networking, or a related field
• Experience working in large-scale data center environments