Astera Labs
AI infrastructure
DistinguishedEngineer–ServerFirmware&SystemArchitecture
Neural analysis suggests this role is
optimal for Distinguished candidates.
“Distinguished Engineer – Server Firmware & System Architecture at Astera Labs. Skills: Server Firmware Architecture, System Architecture, AI Infrastructure, Rack-Scale Design, High-Speed Connectivity. 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”
What You'll Achieve.
Unlock the full potential of modern AI; Enable organizations to unlock the full potential of modern AI; Unify diverse components into cohesive, flexible systems that deliver end-to-end scale-up, and scale-out connectivity; Enable customers to deploy tailored architectures to meet their unique infrastructure requirements; Shape what comes next in AI infrastructure; Directly enabling hyperscale AI training and inference workloads
Industry & Context.
What They're Looking For.
Must Have
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, 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, programming experience in C/C++ and low-level system software, Proven track record of leading cross-functional, large-scale architecture initiatives
Nice to Have
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
What You'll Do.
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
and accelerator scalability
Architect solutions for GPU/accelerator-dense systems optimized for AI training and inference workloads
Lead integration of connectivity solutions — retimers
and fabric controllers — aligned with Astera Labs' product ecosystem
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
Own end-to-end AI platform performance strategy including PCIe topology optimization
and CPU performance tuning for AI orchestration workloads
Drive memory performance optimization across DDR
and emerging memory expansion technologies
Lead performance tuning for multi-accelerator systems (GPU/ASIC/FPGA)
high-throughput data pipelines
and distributed AI workloads
How You'll Work.
Team & Collaboration
Partner with silicon vendors (CPU, GPU, AI accelerators), connectivity ecosystem partners, OEMs, ODMs, and hyperscalers; Collaborate with silicon vendors; Collaborate with connectivity ecosystem partners; Collaborate with OEMs; Collaborate with ODMs; Collaborate with hyperscalers
Communication Scope
Represent Astera Labs as a recognized thought leader in AI infrastructure and platform innovation
Process & Methodology
Leading cross-functional, large-scale architecture initiatives, Define multi-year technical roadmaps, Influence executive strategy
Full Job Description
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. Role Overview Astera Labs is at the epicenter of the AI infrastructure revolution, building the intelligent connectivity solutions that power the world's most advanced data centers. As AI workloads scale to unprecedented levels, the demand for purpose-built, rack-scale platforms that seamlessly integrate high-speed connectivity, firmware intelligence, and composable architectures has never been greater — and neither has the opportunity to shape what comes next. The AI Platform Solutions Group is seeking a Distinguished Engineer to serve as the technical visionary for next-generation AI infrastructure, spanning server firmware, high-speed connectivity, and rack-scale system design. In this role, you will define the end-to-end architecture for AI platforms that integrate cutting-edge technologies such as PCIe Gen5/6, composable rack architectures, and advanced interconnect solutions including Astera Labs' portfolio of retimers, switches, and fabric controllers. This is a high-impact, high-visibility role where you will drive innovation across silicon integration, platform firmware, system performance, and rack-level orchestration — directly enabling hyperscale AI training and inference workloads. You wil
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