AMD
Designs and sells processors, GPUs, accelerators
AI Model Optimization & Software Engineer Intern/Co-op
Hybrid or on-site work is required throughout the internship or co-op term.
About the job
- Currently enrolled in a U.S.-based PhD program in Computer Science, Computer Engineering, Artificial Intelligence, Machine Learning, Electrical Engineering, or a related technical field.
- Programming experience in Python and/or C/C++.
- Experience with one or more AI frameworks or runtimes, such as PyTorch, TensorFlow, JAX, ONNX Runtime, vLLM, or SGLang.
- Experience, coursework, research, or project work in AI model inference, training, fine-tuning, or performance optimization; quantization, low-precision computing, sparsity, pruning, or distillation; GPU or accelerator kernel development; AI frameworks, libraries, compilers, graph optimization, or execution runtimes; performance profiling, benchmarking, debugging, or workload analysis; parallel computing, distributed systems, or collective communications; MLOps, DevOps, automated evaluation, CI/CD, or containerized environments; or AI-assisted coding, coding agents, or agentic development workflows.
- Familiarity with software development tools such as Git, CMake, Make, Conda, Docker, or related development and build technologies.
- The position is not eligible for visa sponsorship.
- Develop, benchmark, and optimize AI software for training, fine-tuning, and inference across CPU, GPU, and accelerator platforms.
- Profile AI workloads, identify hardware and software bottlenecks, and implement performance improvements across compute, memory, communication, framework, and runtime layers.
- Design, prototype, and optimize GPU or CPU kernels using HIP, CUDA, OpenCL, Triton, or related accelerator programming models.
- Research and implement AI model optimization methods such as quantization, low-precision inference, sparsity, pruning, distillation, and parameter-efficient fine-tuning.
- Contribute to AI frameworks, libraries, execution runtimes, and deployment technologies such as PyTorch, TensorFlow, JAX, ONNX Runtime, vLLM, or SGLang.
- Develop or evaluate parallel and distributed computing methods, including collective communication operations and scalable training or inference techniques.
- Explore compiler, graph optimization, kernel-generation, and runtime technologies that improve the efficiency and portability of AI workloads.
- Build automated evaluation systems, containerized development environments, CI/CD pipelines, internal tools, and developer productivity solutions for AI workflows.
- Use AI-assisted development tools and coding agents to support software development, testing, debugging, and optimization.
- Collaborate with software engineers, researchers, architects, platform teams, and project stakeholders to advance next-generation AI software capabilities.
- Research publications, preprints, open-source contributions, or participation in the AI and machine learning developer community.
About the company
AMD is a semiconductor company that designs and sells processors, graphics cards, and accelerators for a range of customers, including data centers, AI developers, and enterprises. Its products include Ryzen CPUs for desktops, EPYC CPUs for data centers, and Radeon GPUs for gaming and professional visualization. AMD also offers the ROCm software stack and Instinct accelerators to boost AI and machine learning performance. The company earns revenue from hardware sales, technology licensing, and software that optimizes hardware performance. AMD differentiates itself through a broad portfolio that combines high-performance CPUs, GPUs, and AI accelerators, along with software ecosystems that optimize compute workloads. Its goal is to provide scalable, efficient computing power for gaming, data centers, and AI workloads while pursuing responsible corporate practices.
Company Size
10,001+
Company Stage
IPO
Headquarters
Santa Clara, California
Founded
1969
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Simplify's Take
What believers are saying
- Q2 2026 revenue rose 50% to $11.5 billion; data center hit $6.7 billion.
- Helios shipments began in late 2026, with MI450 production ramping into 2027.
- AMD raised 2030 TAM to $3 trillion at Citi on September 8, 2026.
What critics are saying
- Nvidia still controls AI software, networking, and entrenched hyperscaler procurement by 2026.
- MI450 delays would hit Q4 2026 revenue, then Anthropic's 2027 deployments.
- A failed ROCm ecosystem would leave AMD stranded against Nvidia's CUDA moat.
What makes AMD unique
- Lisa Su's AMD fused EPYC, Instinct, Pensando, and ROCm into Helios on July 2026.
- AMD won multi-gigawatt commitments from OpenAI, Meta, and Anthropic in 2026.
- Its EPYC CPUs diversify revenue beyond AI accelerators, unlike pure-play GPU vendors.
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Benefits
Hybrid Work Options
Growth & Insights and Company News
6 month growth
↑ 1%1 year growth
↑ 3%2 year growth
↓ -2%Advanced Micro Devices shares closed above $600 for the first time on 21 September, reaching $615.52 and pushing the chipmaker's market capitalisation past $1 trillion. The stock has surged 187% in 2026 through that close. AMD has split its stock six times historically, most recently in August 2000. Since then, shares have climbed from about $3 to over $600 under CEO Lisa Su, who took the helm in October 2014. The company has made no public comments about another split. The rally reflects strong business performance rather than share buybacks. Second-quarter revenue rose 50% year-over-year to a record $11.5 billion, with earnings per share climbing to $1.38 from $0.54. Data centre revenue jumped 107% to $6.7 billion, driven by EPYC server chips and Instinct AI accelerators. Management expects third-quarter revenue of approximately $13 billion, up 41% year-over-year.
Advanced Micro Devices has shifted focus from export control challenges that dominated discussions a year ago. In fiscal Q2 2025, management highlighted how US export restrictions effectively eliminated MI308 accelerator sales to China. Now, AMD leads with its rack-scale AI platform, Helios, which is in production. The company announced a partnership to deploy MI450 series GPUs at gigawatt scale, with the first deployment starting in the first half of 2027. Data centre revenue grew 107% year over year in fiscal Q2 2026, reaching a record $6.7 billion and representing 58% of quarterly sales. The segment previously affected by export controls now leads in both size and growth. The stock trades at 117 times trailing earnings, compared to 22.6 times for the S&P 500.
Advanced Micro Devices has joined the $1 trillion market value club this week, with shares climbing 14,000% since its initial public offering. The chipmaker has seen data centre revenue surge as its AI chip platforms compete with Nvidia's offerings. In its recent quarter, AMD's revenue grew 50% to around $11 billion, whilst data centre revenue jumped 100%. The company is a leader in central processing units, which are viewed as crucial for AI agents. Despite its strong position in AI chips and CPUs, AMD trades at 81 times forward earnings estimates, compared to 24 times for Nvidia. The article suggests investors may want to wait for a potential dip before buying, noting AMD doesn't warrant such a premium over Nvidia despite its strengths.
Meta's new AI agent Muse has driven significant stock gains for major CPU manufacturers. After becoming the most downloaded free iPhone app in the US for three consecutive days, Muse sparked investor optimism about increased CPU demand. Arm Holdings rose 17%, Intel climbed 12%, and AMD gained 10% on Monday. The enthusiasm stems from expectations that AI agents, which rely heavily on CPU-based inference processing rather than GPU training, will drive substantial market growth. Muse performs tasks such as email sorting, booking reservations, and calendar management. Backed by Meta's 3.6 billion daily active users, analysts predict it could attract hundreds of millions of users within months. ARM projects the server CPU market will grow 35% annually to $120 billion by 2030, whilst AMD forecasts 50% annual growth reaching $220 billion by decade's end.
Advanced Micro Devices crossed $1 trillion in market capitalisation for the first time on Monday, with its stock hitting a record intraday high of $613.92. The chipmaker joins an exclusive club of semiconductor companies valued at or above $1 trillion, including Nvidia, Broadcom, and Taiwan Semiconductor Manufacturing Company. AMD stock climbed as much as 10% on the day, capping a five-session rally that added approximately 24% to its value. The company's year-to-date gain exceeds 180%, though it remains well behind AI chip leader Nvidia's $5.4 trillion market cap. The rally spread across the sector, with Intel surging up to 12% and Arm Holdings jumping as much as 14%. Investor enthusiasm partly stems from strong reception to Meta Platforms' Muse AI Agent, which topped Apple's App Store free applications chart. Meta is AMD's second-biggest customer, accounting for about 5.5% of its revenue.