Principal AI Infrastructure & Hardware Program Management

Remote, USA
Posted Jun 12, 2026
Full-time

Astera Labs (NASDAQ: ALAB) provides rack-scale AI infrastructure through purpose-built connectivity solutions. By collaborating with hyperscalers and ecosystem partners, Astera Labs enables organizations to unlock the full potential of modern AI. Astera Labs’ Intelligent Connectivity Platform integrates CXL®, Ethernet, NVLink, PCIe®, and UALink™ semiconductor-based technologies with the company’s COSMOS software suite to unify diverse components into cohesive, flexible systems that deliver end-to-end scale-up, and scale-out connectivity. The company’s custom connectivity solutions business complements its standards-based portfolio, enabling customers to deploy tailored architectures to meet their unique infrastructure requirements. Discover more at www.asteralabs.com.

About the Role

We are seeking a highly experienced and results-driven leader to drive our global AI, Storage, and Networking hardware design programs. This role will be responsible for end-to-end program leadership across complex, multi-disciplinary initiatives, ensuring successful delivery of cutting-edge products in a fast-paced, innovation-driven environment.

You will work closely with executive leadership, Tier-1 customers, and cross-functional global teams to deliver next-generation infrastructure solutions, including advanced AI platforms.

Key Responsibilities

Program Leadership & Execution

Lead and manage global AI, Storage, and Networking hardware design programs, ensuring on-time delivery, scope control, and budget adherence

Drive program governance, risk management, and execution excellence across all phases of product development

Provide regular program updates, risk assessments, and financial reporting to executive leadership through structured reviews (e.g., Leadership Program Reviews)

Product Innovation & Delivery

Oversee the successful launch of complex hardware platforms, including AI GPU-based systems

Manage high-priority, resource-constrained programs while maintaining quality and schedule commitments

Enable innovation in next-generation AI infrastructure and high-performance computing platforms

UALink Switch Tray Development (Rack-Scale AI Systems)

Lead end-to-end program management for UALink / PCIe Gen6 switch tray development supporting rack-scale AI platforms and GPU clusters

Coordinate design, validation, and manufacturing readiness of switch trays across EVT, DVT, and PVT phases

Drive integration of switch silicon, retimer cards, cabling, and system-level connectivity within full rack-scale architectures

Collaborate with ODMs and partners to align on design specifications, cost models, and development schedules

Manage technical trade-offs across performance, signal integrity, power delivery, thermals, and scalability for high-density GPU deployments

Customer & Partnership Management

Partner with Tier-1 customers to deliver Joint Design Manufacturing (JDM) programs

Ensure alignment with customer-specific requirements in design, supply chain, and quality

Build strong customer relationships and act as a trusted advisor throughout the product lifecycle

Global Cross-Functional Leadership

Lead globally distributed teams across engineering (HW/SW), supply chain, manufacturing, and quality organizations

Coordinate teams across multiple regions (e.g., North America and Asia) to drive seamless execution

Guide programs through EVT, DVT, and PPVT phases, ensuring technical validation across electrical, thermal, power, signal integrity, and mechanical domains

Qualifications

12+ years of experience in hardware program management, preferably in AI, servers, storage, or networking

Proven track record of delivering complex global hardware programs from concept to production

Experience leading cross-functional teams across multiple geographies

Strong background in product development lifecycle (EVT, DVT, PPVT)

Experience working with Tier-1 customers and JDM models

Demonstrated ability to manage program financials, timelines, and risks at scale

Excellent communication skills with experience presenting to senior executives

Preferred Qualifications

Experience with AI GPU platforms or high-performance computing infrastructure

Familiarity with AMD, NVIDIA, or similar AI hardware ecosystems

Experience with PCIe Gen6, CXL, or UALink-based connectivity architectures

Exposure to industry forums such as OCP (Open Compute Project)

MBA or advanced technical degree

We know that creativity and innovation happen more often when teams include diverse ideas, backgrounds, and experiences, and we actively encourage everyone with relevant experience to apply, including people of color, LGBTQ+ and non-binary people, veterans, parents, and individuals with disabilities.

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