Engineering Manager, Reliability Engineering – EDA Infrastructure

This is a fully remote position, open to applicants in California, +3 more states.

📋 Description

• Lead a team and take ownership of the roadmap for operational processes and platforms, overseeing everything from requirements and delivery to adoption and outcomes.

• Establish the technical direction, prioritize tasks, and guide execution across engineering and operational domains.

• Collaborate with infrastructure, product, and security teams to create uniform practices for incident response, maintenance, on-call duties, issue management, and customer service readiness.

• Recruit and nurture engineers and technical leads, forming a team with clear ownership and accountability.

• Align priorities among teams, communicate progress and risks, and provide technical guidance during significant incidents.

• Enhance reliability and minimize manual tasks through automation, AI, and insights gained from operational events.

• Develop and maintain systems that support chip development.

⛳️ Requirements

• Bachelor's degree or equivalent experience.

• Over 10 years of experience in software engineering or a related field.

• More than 5 years of engineering leadership experience managing teams or complex technical programs.

• Familiarity with operational processes and the platforms that support them, including roadmap development, delivery, adoption, and enhancement.

• Strong technical judgment in software architecture, platform integration, and engineering trade-offs.

• Excellent communication skills with engineers, cross-functional partners, and executive stakeholders.

• Proven track record in developing engineers, expanding teams, and achieving results under pressure.

• Established standards for service readiness, including service ownership, support coverage, and reliability goals.

• Experience in building, integrating, and scaling platforms related to incident management, maintenance, customer experience management, on-call duties, and production readiness.

• Experience utilizing AI or LLMs to enhance triage, knowledge retrieval, incident analysis, or automation.

• Background in supporting EDA, large-scale computing, or hybrid infrastructure with intricate dependencies and stringent availability requirements.

🏝️ Benefits

• Equity.

• Comprehensive benefits package.