EDA Silicon Infrastructure Manager, Annapurna ML

Annapurna Labs is looking for an experienced Engineering Manager to think big in defining the strategic direction, roadmap, and execution for EDA infrastructure supporting SoC, IP, physical design, and Basic qualifications: - Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers - Bachelor's degree or above in computer science, electrical engineering, or related field - 3+ years of managing system or software development teams experience - 5+ years of deploying and operating in a Linux/Unix environment experience - Experience with at least one modern language such as Java, C++, or C# including object-oriented design and scripting languages and their associated development environments - Experience in any of the following: Cloud Architecture, Systems Design, Software Development, Infrastructure Architecture, Data Engineering or DevOps - Experience communicating results to senior leadership, or experience communicating complex information and solutions to senior stakeholders and influencing decisions - • 10+ years of experience in software development, systems engineering, EDA infrastructure, or engineering compute environments - • Strong background in high-performance computing (HPC) environments and networked file systems (NFS, Lustre, or similar). - • Familiarity with semiconductor development workflows and EDA tools including simulation, synthesis, place-and-route, static timing analysis, and formal verification. - • Experience with job scheduling systems such as LSF, Slurm, or Grid Engine. - • Experience with CI/CD systems such as Jenkins, GitLab CI, or similar platforms. Preferred: - • Experience with AWS cloud infrastructure at scale, including deep knowledge of EC2, VPC, IAM, S3, and related services. - • Experience with Kubernetes or container orchestration platforms for infrastructure workloads. - • Experience with EDA vendor toolchains and licensing models (Synopsys, Cadence, Siemens EDA). - • Experience developing CAD methodology and engineering automation for RTL-to-GDSII flows. - • Track record of leveraging automation and AI/ML to improve engineering productivity and operational efficiency. - • Experience designing and operating observability platforms including dashboards, alerting, and data pipelines for infrastructure metrics. - • Experience with high-performance storage architectures and optimizing data movement for large-scale compute workloads. - • Experience managing cloud and EDA license costs and delivering measurable savings. - • Experience delivering technical training to engineering teams and developing comprehensive documentation. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, TX, Austin - 184,900.00 - 250,200.00 USD annually