AMD

3 months ago

Sr. Silicon Design Engineer: Hardware-Software Co-Design

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Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Senior Silicon Design Engineer at AMD focusing on hardware-software co-design for Instinct GPUs. You will build performance models bridging GPU microarchitecture, AI frameworks, and ROCm software, evaluate hardware features, and drive silicon roadmap decisions through software-grounded analysis across the stack from kernels to kernel drivers.

Location: Bellevue

Workplace: Onsite

Employment Type: Full time

Job Function: Design (Product/UX/UI/Visual)

Key Responsibilities

•Hardware-Software Co-Design & Performance: Leverage detailed performance models that bridge GPU microarchitecture and software execution to drive software optimization and hardware design feedback.
•AI workload analysis: Analyze and characterize AI workloads (training and inference) against AMD Instinct microarchitecture to identify performance bottlenecks and inform silicon roadmap decisions.
•Cross-team collaboration: Collaborate directly with AMD GPU hardware and firmware teams to evaluate proposed hardware features and assess how memory subsystem, cache coherence, or execution units affect workloads.
•Feedback loop ownership: Own the feedback loop between workload characterization and hardware design by building methodology, tooling, and benchmarks that enable fast, evidence-driven decisions across Instinct generations.
•Compiler & Runtime Infrastructure: Contribute to the IREE compiler and ROCm stack, design backend optimizations, runtime API extensions, and compute runtime paths; work at the Linux kernel level to improve asynchronous execution and reduce latency.

Key Requirements

•5+ years of industry experience at the boundary of GPU compute hardware and AI systems software.
•Strong computer architecture foundation: memory consistency and coherence models, GPU microarchitecture, pipelining, and the ability to reason precisely about what hardware is doing on a given workload.
•Proficiency in C and C++ in system-level contexts, and Python for tooling, analysis, and framework-level work.
•Experience with GPU programming via CUDA and/or HIP, including writing and optimizing compute kernels beyond library calls.
•Familiarity with Linux kernel internals relevant to GPU compute: DRM/GEM subsystem, kernel-mode driver interfaces, memory management, and userspace-kernel interaction patterns.

Experience:5+ yearsGPU computeAI systems softwareHPC

Education:Bachelor's in Computer Science, Computer Engineering

Skills:CollaborationCommunicationProblem-solvingAnalyticalTeamwork

Languages:English

Tech Stack:ROCmIREEPyTorchTritonCUDAHIPLinuxDRMGEM

Company Brief

AMD

Designs and produces semiconductor products including CPUs, GPUs, and adaptive SoCs for consumer, enterprise, and embedded markets, competing across PCs, data centers, and gaming industries.

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1969

Glassdoor: 3.9

Website LinkedIn

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AMD