EDA Silicon Infrastructure Manager, Annapurna ML

Amazon.com Inc.; Austin (TX); Presencial; USD 185 000 - 250 000; Tempo integral

Resumo da oferta

Annapurna Labs is seeking an Engineering Manager to define strategy, roadmap, and execution for EDA infrastructure supporting SoC, IP, physical design, and verification teams. You will lead a team of 6–10 engineers, mentor leaders, and drive operational excellence while contributing hands-on during architecture reviews, on-call rotations, and incident response.

You will guide scalable compute clusters, storage, networking, and cloud-enabled platforms across pre- and post-silicon workflows,

Qualificações

• Experience leading software or systems engineering teams.
• Bachelor's degree in CS/EE or related field required.
• 10+ years in software development, systems engineering, or HPC/EDA compute environments.

Responsabilidades

• Build and mentor a 6–10 person team with a focus on operational excellence.
• Own multi-year EDA infra roadmap aligning with silicon goals.
• Balance hands-on technical leadership with people management.
• Define SLOs, capacity planning, and cost optimization for cloud/HPC infra.
• Collaborate with silicon, verification, software, and AWS teams across sites.
• Drive automation, CI/CD, and self-service platforms to reduce toil.

Conhecimentos

Team management

Linux/Unix

Strategic planning

Architecture leadership

Cloud infrastructure

SLA/OKR governance

Communication to leadership

EC2/AWS

CI/CD

Python/ scripting

Formação académica

Bachelor's degree in CS/EE or related field

Ferramentas

LSF

Slurm

Kubernetes

Jenkins

GitLab CI

Grid Engine

Terraform/ IaC

Descrição da oferta de emprego

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 verification teams. This is first and foremost a leadership and people management role: you will build, inspire, mentor, and grow a team of 6–10 engineers, set a high performance bar, develop the next generation of engineering leaders, and create a team culture rooted in operational excellence and customer obsession. You will own the team’s vision and success metrics, drive organizational alignment across globally distributed silicon development environments, and be accountable for the compute infrastructure, design-data-management methodologies, and automation your team delivers. While this role carries full management responsibility, it equally demands a hands‑on technical leader. You will roll up your sleeves alongside your team, participating in architecture reviews, deep dives, on‑call rotations, and incident response to maintain technical credibility and unblock engineers. You will guide the team in architecting scalable infrastructure including Linux‑based compute clusters, storage, networking, HPC, and cloud‑enabled hybrid platforms while optimizing silicon development flows spanning synthesis, place‑and‑route, STA, DFT, verification, emulation, and signoff. You will champion standardization, automation, and engineering productivity through self‑service platforms, CI/CD workflows, and tooling that eliminates operational overhead, partnering with CAD methodology teams, silicon engineering teams, and AWS services teams to deliver infrastructure that is scalable, reliable, and globally supportable.

Key job responsibilities

• Build, inspire, and develop a high-performing, globally distributed team of 6–10 software development engineers and systems engineers; set clear expectations, conduct regular performance reviews, and foster a culture of ownership, operational excellence, and customer obsession.
• Recruit, hire, and retain top engineering talent; own the hiring bar for your team and actively build a diverse pipeline of candidates who strengthen the organization.
• Coach and develop engineers at all levels; create individualized growth plans, identify future leaders, and invest in the career development of every team member to build the next generation of engineering leaders.
• Define the team’s vision, strategy, and multi-year roadmap for EDA infrastructure; align priorities with organizational goals and communicate the strategy clearly to stakeholders at all levels.
• Define and track success metrics for the team and the services it provides, using data-driven dashboards and AI-assisted analytics to inform priorities, measure impact, and hold the team accountable to results.
• Drive strategic infrastructure decisions that support customer needs across systems, pre-silicon, and post-silicon teams, balancing immediate delivery with long-term scalability and technical excellence.
• Partner directly with silicon design, verification, emulation, software, and AWS service teams to understand their workflows, pain points, and iteration cycles; align infrastructure roadmaps with program milestones, establish continuous feedback mechanisms, and drive unified outcomes across organizational boundaries.
• Present technical documents, weekly reports, and program status updates to senior leadership, clearly communicating progress, risks, trade-offs, and resource needs.
• Maintain hands‑on technical credibility by participating in deep dives, architecture reviews, on‑call rotations, and incident response; lead by example to unblock the team and make sound technical decisions.
• Guide the team in architecting and evolving the compute, storage, networking, and scheduling infrastructure (LSF, Slurm, Kubernetes) that underpins all phases of silicon development, from RTL through GDSII signoff, ensuring it scales across global sites.
• Own end‑to‑end platform delivery for cloud infrastructure (AWS) and high-performance computing clusters that support EDA workloads including simulation, synthesis, place‑and‑route, and verification.
• Own platform reliability, performance, and cost efficiency end‑to‑end; define and enforce SLOs, lead capacity planning, and drive cost optimization that maximizes engineering throughput.
• Establish incident management frameworks, lead postmortems, and codify operational excellence standards; create runbooks and preventive automation that improve system resilience and reduce mean time to recovery.
• Drive standardization and automation through self-service platforms, CI/CD pipelines, and infrastructure‑as‑code to eliminate manual toil in project onboarding, workspace provisioning, and infrastructure deployment.

A day in the life

As an EDA Silicon Infrastructure Manager at Annapurna Labs, your day is defined by leadership. You start the morning reviewing overnight job/ticket metrics and platform health dashboards, then lead a team standup to triage incidents, remove blockers, and align on sprint priorities. You hold a 1:1 with engineers to discuss their career growth trajectory and coach them on preparing for a promotion. Mid‑morning, you lead a capacity planning review for an upcoming tape‑out, guiding your engineers through compute and storage modeling while making resource allocation decisions. After lunch, you roll up your sleeves and join a hands‑on deep dive into a production incident, working side‑by‑side with your team to diagnose root cause and define corrective actions. Later, you lead a design review for a new automation service, coaching team members through architecture trade‑offs and ensuring alignment with the broader infrastructure strategy. You then meet with a partner team in silicon verification to understand their evolving workflow needs and translate those into infrastructure priorities for your team’s roadmap. You close the day by reviewing a weekly report for senior leadership, clearly communicating your team’s progress on key operational metrics, risks, and upcoming milestones. Throughout it all, you balance the demands of people leadership, including hiring, performance management, and team development, with the technical depth that keeps you credible and effective as a hands‑on engineering leader. Your leadership directly impacts the productivity of hundreds of engineers building breakthrough AWS silicon.

About the team

At Annapurna Labs, you will be at the heart of the infrastructure that powers breakthrough innovations in custom silicon for AWS. The ML Infrastructure team builds and operates the compute, storage, networking, CI/CD, and developer platforms that hundreds of chip designers and verification engineers depend on daily. We offer the resources and scale of AWS with the innovation culture and technical depth of a focused silicon team.

If you are passionate about leading high-performing engineering teams, thrive on solving complex infrastructure challenges at scale, and want to combine hands‑on technical leadership with people management to accelerate the next generation of AWS silicon, we want to hear from you.

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 Qualifications

• 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.

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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.

USA, TX, Austin - 184,900.00 - 250,200.00 USD annually