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Purpose-built connectivity solutions for intelligent systems
Distinguished Engineer – System & Rack Hardware Architecture
Location
United States
Posted
57 days ago
Salary
0
Seniority
Lead
Job Description
Distinguished Engineer – System & Rack Hardware Architecture
Astera Labs
• 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 • Lead system architecture and design for high-performance compute platforms optimized for AI and accelerator-driven workloads • Define and implement GPU-enabled server platforms for AI training, inference, and HPC workloads • Define the technical vision and multi-year product roadmap for AI infrastructure platforms.
Job Requirements
- 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.
Benefits
- 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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TensordyneTensordyne is a system solution company that specializes in the design of industry-leading high-performance, low-power AI inferencing. Our mission is to enable multimodal Generative AI inference acceleration at scale by providing safe, sustainable, high-performance AI-driven solutions for many markets. We are at the leading edge of advancing the latest research and product improvements for AI inference solutions that will make AI even more advantageous for compelling new applications. Well-funded, fast-paced startup company with headquarters in Sunnyvale, CA, and Munich, Germany. Many talented team members working remotely. Prioritize employees' well-being and their families. Value contributions and offer tailored benefits.
Role Description In this role, you will be responsible for DVT (Design Verification Testing) and Sustaining for early-stage validation and bring-up of Tensordyne’s next-generation hardware products for generative AI inference acceleration. You will drive hardware bring-up for new designs, debug issues, and ensure all systems meet performance and reliability specifications. Responsibilities include: - Creating and executing hardware test plans - Validating functionality - Identifying and root-causing failures - Making design changes - Managing part lifecycle - Building and maintaining benchtop test environments - Supporting reliability and stress testing across Tensordyne’s hardware portfolio Qualifications - B.S. degree in Electrical or Computer engineering - 5+ years of hardware validation and/or sustaining experience on board and system level products - Experience in creating test setups, writing test plans and reports - Strong knowledge of oscilloscopes, DMMs, power supplies, in-system programmers and analyzers - Demonstrable experience with EVT, DVT, PVT testing and certification processes - Self-starter and highly motivated to work in a dynamic start-up environment Requirements - Support all aspects of hardware system validation and sustaining of Tensordyne’s board and system level products - Gather requirements and specifications from engineering, product and operations teams for planning Hardware Validation and creating Test Plans - Hands on responsibility for board bring up, programming, performing functional test and design verification and board characterization - Support Compliance testing activities - Drive hardware parts selection and vendor qualification processes in collaboration with manufacturing operations - Analyze failures and find root causes for issues and drive them to resolution - Make necessary design changes and drive ECO/MCO releases - Support Diagnostic and Manufacturing Test development activities - Develop scripts and tools to automate test procedures and data analysis Benefits - Comprehensive benefits - Competitive compensation - Flexible spending options - Recognition programs Company Description Tensordyne is an AI system solution company that builds very high-performance, low-power generative AI inference systems. Our mission is to enable multimodal Generative AI inference acceleration at scale, with safe, sustainable, high-performance systems for our hyperscaler and neocloud data center customers. We are at the leading edge of advancing the latest research and product improvements for generative AI inference solutions. Tensordyne is a well-funded, fast-paced startup company with headquarters in both Sunnyvale, CA, and Munich, Germany. We also have many talented team members working remotely across North America and Europe. Tensordyne is an equal opportunity employer. We believe that a diverse team is better at tackling complex problems and coming up with innovative solutions.
Senior Embedded Firmware Engineer
Expert Executive Recruiters (EER Global)Your dream candidate is just around the corner.
• Projektowanie systemów, deterministyczna komunikacja, real‑time i odpowiedzialność za kluczowe elementy produktu • Rozwój firmware dla komponentów bezpieczeństwa oraz modułów komunikacyjnych • Praca z logiką czasu rzeczywistego , maszynami stanów i obsługą błędów • Tworzenie i utrzymanie sterowników sprzętowych



