Original listing text, shown exactly as published by the company.
Key Responsibilities
- AI Platform & Rack-Scale Architecture
- Define the end-to-end architecture for AI platforms, from node-level design to rack-scale composable systems
- Drive adoption of PCIe-based fabrics for disaggregated compute, memory, and accelerator scalability
- Architect solutions for GPU/accelerator-dense systems optimized for AI training and inference workloads
- Lead integration of connectivity solutions — retimers, switches, and fabric controllers — aligned with Astera Labs' product ecosystem
- Firmware & Platform Leadership
- Drive innovation in server BIOS/UEFI architecture, OpenBMC-based platform management, Redfish APIs for scalable infrastructure control, and lifecycle provisioning frameworks
- Lead system bring-up and ensure seamless firmware-hardware-software integration across complex AI platforms
- Define the technical vision and multi-year firmware roadmap for AI infrastructure platforms
- Performance & Optimization
- Own end-to-end AI platform performance strategy including PCIe topology optimization, bandwidth scaling, latency reduction, and CPU performance tuning for AI orchestration workloads
- Drive memory performance optimization across DDR, NUMA, and emerging memory expansion technologies
- Lead performance tuning for multi-accelerator systems (GPU/ASIC/FPGA), high-throughput data pipelines, and distributed AI workloads
- Ecosystem & Industry Leadership
- Collaborate with silicon vendors (CPU, GPU, AI accelerators), connectivity ecosystem partners, OEMs, ODMs, and hyperscalers
- Influence industry standards across OpenBMC, Redfish, OCP, and related consortia
- Mentor senior engineers and grow deep technical bench strength across the organization
- Represent Astera Labs as a recognized thought leader in AI infrastructure and platform innovation
Basic Qualifications
- Bachelor's degree in Computer Science, Electrical Engineering, Computer Engineering, or a related field
- 15+ years of experience in system architecture, server firmware, or platform engineering
- Deep expertise in server BIOS/UEFI, OpenBMC and BMC firmware stacks, and Redfish or datacenter management frameworks
- Strong knowledge of PCIe architecture and performance optimization (Gen4/5/6)
- Experience with CPU, memory, and system-level performance tuning for high-performance computing or AI platforms
- Strong programming experience in C/C++ and low-level system software
- Proven track record of leading cross-functional, large-scale architecture initiatives
Preferred Qualifications
- Master's degree or PhD in Computer Science, Electrical Engineering, or a related field
- Experience with rack-scale composable infrastructure and disaggregated architectures
- Background in AI training clusters, accelerator-based systems, or hyperscale datacenter design
- Expertise in high-speed interconnect solutions such as retimers, switches, and fabric ICs
- Experience with platform lifecycle management systems and fleet-level automation
- Contributions to industry standards bodies or open-source firmware ecosystems
- Demonstrated ability to define multi-year technical roadmaps and influence executive strategy
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.
