A remote role at Astera Labs.
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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/UAlink-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
System Architecture & Platform Leadership
Lead system architecture and design for high-performance compute platforms optimized for AI and accelerator-driven workloads
Design and integrate PCIe-based subsystems including GPU, accelerator, and high-speed I/O components leveraging PCIe Gen5/6 technologies
Define and implement GPU-enabled server platforms for AI training, inference, and HPC workloads
Architect and optimize high-speed Ethernet networking interfaces (25G/100G/400G+) within platform designs
Define the technical vision and multi-year product roadmap for AI infrastructure platforms
Platform Management & Cross-Functional Leadership
Define and implement platform management solutions including BMC integration, telemetry, health monitoring, and system-level diagnostics
Collaborate with cross-functional teams spanning hardware, firmware, BIOS, and OS to ensure seamless platform integration
Partner with silicon vendors, OEMs, and hyperscalers on custom platform development aligned with Astera Labs' connectivity ecosystem
Drive performance optimization across PCIe topology, accelerator interconnects, and memory subsystems
Own end-to-end AI platform performance strategy including PCIe topology optimization, bandwidth scaling, latency reduction, and CPU performance tuning for AI orchestration workloads
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
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
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.
Astera Labs
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4 open roles on Sydicom
Astera Labs, Inc. is an American fabless semiconductor manufacturer and artificial intelligence company. The company specializes in designing high-speed connectivity solutions for data centers and AI infrastructure. The company has been listed on the Nasdaq since March 2024.
Source: Wikipedia
