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 .
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.
