AMD

2 weeks ago

AI Engineer, Recursive Self-Improvement for Compute

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 hours agoStatus: Live

Job Summary

Build recursive self-improvement systems for compute workloads by creating agentic optimization loops that propose improvements, verify correctness, measure impact, learn from failures, and iterate reliably. Convert engineering workflows into repeatable optimization cycles with candidate generation, automated validation, scoring, and fast feedback. Work across AI systems, performance engineering, and hardware-aware workflows to improve the next generation of compute platforms.

Location: Santa Clara

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Build agentic and learning-driven optimization loops for compute workloads and hardware engineering workflows.
•Develop systems that generate, compile, test, benchmark, profile, and iterate on candidate improvements with minimal human intervention.
•Convert engineering workflows into verifiable tasks with clear graders, harnesses, metrics, and failure feedback.
•Collaborate with AI researchers on reward design, reward shaping, reward hacking analysis, long-horizon optimization, and model improvement loops.
•Mentor other engineers and help set technical direction for self-improving AI systems for compute.

Pay and Benefits

Salary: USD 178,500 - 306,000 annually

Key Requirements

•Strong software engineering experience in Python and at least one systems language such as C++, C, HIP, or CUDA.
•Experience building AI/ML/agentic/optimization/automation systems evaluated with objective metrics.
•Ability to design reliable experiment loops, benchmark harnesses, validation workflows, and correctness/performance evaluation pipelines.
•Strong technical judgment in debugging, profiling, root-cause analysis, and performance-oriented iteration.
•Clear communication skills and ability to work across AI research, hardware, software, and partner-facing teams.

Experience:AIMachine learningReinforcement learningGPU computingCompilersHardware/software co-design

Education:Bachelor's in Computer Science, Computer Engineering, Electrical Engineering, Machine Learning, or related field

Skills:CollaborationCommunicationTechnical judgmentMentorship

Tech Stack:PythonC++CHIPCUDAROCmTritonPyTorchJAXTensorFlowDistributed trainingGPU kernelsCPU performance engineeringCompilersProfilersBenchmarkingReinforcement learningReward modeling

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