About Xsight Labs

Xsight Labs is a pre-IPO silicon startup based in Israel with development offices in Kiryat Gat, Tel Aviv, Haifa, Boston MA, Durham NC, and San Jose CA. Named one of the 10 hottest semiconductor startups of 2025, Xsight is developing and delivering revolutionary new silicon devices to address the cloud data center core and edge at scale. Xsight is well funded by some of the leading investments firms in the world including Intel Capital, Microsoft, Fidelity, and Atreides.

Join us and help shape the future of cloud infrastructure!

About the Role

As an Automation Engineer in our growing Automation & QA team, you will define, design and implement test automation infrastructure. Develop and maintain automation libraries the supports test developers. Support and resolve automation execution issues and bugs.

Position Scope

Collaborate with stakeholders to collect automation requirements and manage them. Integrate automated tests into CI/CD pipelines and ensure reliable execution.

Improve automation infrastructure, tools, and processes. Reuse smartly existing infrastructure and codebase

Required Experience

• 3+ years’ experience in a similar role.
• Experience with building and maintaining automation infrastructure in embedded environment.
• Experience with complex embedded setups that include multiple devices and embedded DUT.
• Good familiarity with Linux, Python, Automation tools
• Previous work with Atlassian (JIRA, Confluence) – Advantage
• Previous work with git, Jenkins, dockers, containers – Advantage
• Previous experience with REST API client / server, DBs - Advantage

Required Skills

• Good communication skills, structured and detailed.
• Excellent technical problem-solving and debugging abilities
• Self-driven, fast learner comfortable working in complex, low-level systems
• Ownership mindset with ability to drive issues from root cause to resolution
• Support oriented, collaborative.
• A team player - sharing knowledge and supporting cross functional partners to ensure high quality product delivery.

Education

Bachelor’s degree in computer science, Software Engineering, or a related technical field.