Applied AI Engineer, Top Hardware Priorities

AMD
Santa Clara
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningEducation: bachelorsSkills: ["Correctness","Validation","Collaboration","Communication","Debugging"]

Build applied AI workflows for high-priority hardware and software engineering problems, turning manual processes into AI-assisted systems for candidate generation, correctness validation, quality measurement, and automated debugging. Work across design optimization, verification, simulation, firmware, performance debugging, routing, issue triage, and compute library optimization. Partner with domain owners to define success metrics and develop toolchains that connect LLMs/agents to engineering systems with reliability, auditability, and measurable outcomes.

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FursaFursa
AMD
AMD
3 weeks ago

Applied AI Engineer, Top Hardware Priorities

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live

Job Summary

Build applied AI workflows for high-priority hardware and software engineering problems, turning manual processes into AI-assisted systems for candidate generation, correctness validation, quality measurement, and automated debugging. Work across design optimization, verification, simulation, firmware, performance debugging, routing, issue triage, and compute library optimization. Partner with domain owners to define success metrics and develop toolchains that connect LLMs/agents to engineering systems with reliability, auditability, and measurable outcomes.
Location: Santa Clara
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Build applied AI workflows for hardware and software engineering priorities, including optimization, verification, debugging, simulation, and automation.
  • •Convert manual engineering processes into structured tasks with inputs, candidate generation, validation, scoring, logging, and reproducible comparisons.
  • •Partner with domain owners to define success metrics such as correctness, performance, resource usage, quality, latency, coverage, engineer time saved, or issue classification accuracy.
  • •Develop tools enabling AI agents to use compilers, simulators, formal checks, profilers, benchmark harnesses, ticket systems, and engineering knowledge sources.
  • •Create human-in-the-loop workflows and improve model/agent performance through prompts, tool interfaces, retrieval, evaluation datasets, graders, and structured feedback.

Key Requirements

  • •Strong software engineering experience in Python and at least one systems language such as C++, C, HIP, CUDA, or Rust.
  • •Experience building applied AI/ML, agentic, automation, or developer tooling systems for technical users.
  • •Ability to work with complex engineering tools, logs, tests, benchmark harnesses, and validation workflows.
  • •Strong debugging and root-cause analysis skills across software systems, AI workflows, or hardware-adjacent tooling.
  • •Excellent collaboration and communication with domain experts, engineering leads, research teams, and program stakeholders.
Experience:Hardware-adjacentApplied AIMLAgentic systemsDeveloper toolingGPU/CPU performance
Education:Bachelor's in Computer Science, Computer Engineering, Electrical Engineering, Machine Learning, or related field
Skills:CorrectnessValidationCollaborationCommunicationDebugging
Languages:English
Tech Stack:PythonC++CHIPCUDARustLLMsAgentsCompilersSimulatorsFormal checksProfilerBenchmark harnessesTicket systemsRetrievalEvaluation datasetsGradersLLM-as-judgeRLRTL

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
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Glassdoor: 3.9
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