AMD

1 month ago

GPU AI Compute Architecture Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 14 hours agoStatus: Live

Job Summary

Founding member of a core team to define the future of hardware and software AI compute solutions at AMD. Lead software-hardware co-design, influence GPU AI workloads, and collaborate with architecture engineers to optimize current and next-generation GPUs. Drive open-source contributions and client projects while shaping new technologies for future compute platforms.

Location: San Jose

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Collaborate with AMD architecture engineers on GPU software and hardware design decisions.
•Co-optimize AI workloads on current and next generation GPUs.
•Contribute to client projects and open-source AI frameworks, driving features and adoption.
•Design and develop new technologies for future compute platforms.
•Participate in new hardware bring-up and validation.

Key Requirements

•End-to-end development experience in startup/GPU AI hardware, including programming models, GPU microarchitectures, tapeout, and bring-up.

Experience:AIGPUHardwareStartupGPU AI

Education:Bachelor's

Skills:CommunicationCollaborationProblem-solvingLeadershipTeamwork

Languages:English

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