Full-Time
Vice President Data Center GPU Performance Architecture
AMD
10,001+ employees
Designs and sells processors, GPUs, accelerators
No salary listed
No H1B Sponsorship
Austin, TX, USA
In Person
Master's, PhD
 Hardware Engineering (1) |
|---|
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- Proven experience working on the development and deployment of GPU or artificial intelligence processors.
- Multiple years of experience in the design and development of GPU or artificial intelligence processors.
- Strong architecture experience and insights needed to deliver industry-leading products.
- A strong understanding of the GPU landscape, including artificial intelligence trends, the competitive landscape, and emerging technologies.
- Working knowledge of artificial intelligence and machine learning workloads and models, software stack optimization, and hardware/software design co-optimization.
- A Master of Science or PhD in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
- Lead the datacenter GPU performance analysis and optimization team and engage with customer partners on strategic and tactical engagements.
- Build and maintain relationships with key partners and customers to drive business growth.
- Collaborate with cross-functional teams to provide deep competitive analysis and customer workload sensitivities to improve the product roadmap.
- Build and manage a world-class team of technical leaders and performance analysis experts to deliver high-quality GPU and artificial intelligence products.
- Drive technical innovation and excellence within the team while staying up to date with the latest advancements in architectures and silicon.
- A proven track record of leading successful performance architecture teams and delivering high-performance products on time and within budget.
- Excellent communication and leadership skills, with the ability to work with cross-functional teams.
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 hit $11.5 billion, up 50%, with data center up 107%.
- AMD guided Q3 2026 revenue to $13 billion, above Wall Street expectations.
- Anthropic, Microsoft, Meta, and Oracle are deploying or planning AMD Helios systems.
What critics are saying
- Nvidia still owns AI software standards, delaying AMD’s platform adoption through 2027.
- Microsoft, Meta, and OpenAI can switch spending toward custom silicon, weakening AMD orders.
- MI430X is not due until 2027, leaving AMD exposed if Helios ramps slowly.
What makes AMD unique
- AMD’s Helios rack-scale systems target full AI deployments, not standalone chips.
- MI450 plus ROCm AI reduces Nvidia CUDA lock-in through agentic kernel optimization.
- EPYC and Instinct together powered Q2 2026 data-center revenue to $6.7 billion.
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Benefits
Hybrid Work Options
Growth & Insights and Company News
6 month growth
↑ 24%1 year growth
↑ 24%2 year growth
↑ 19%Advanced Micro Devices fell approximately 2.9% to $459.24 on Monday as semiconductor stocks declined ahead of Nvidia's earnings report on 26 August. The chipmaker's second-quarter revenue hit a record $11.5 billion, with roughly $6.7 billion from data centres. OpenAI, Meta and Anthropic have placed major orders for AMD accelerators. However, the stock trades at approximately 118 times trailing earnings, with its market price sitting 67.18% above analyst estimates. The decline signals growing investor scrutiny of AI chip valuations. Agreements with major customers must survive years of development and deployment before generating expected returns. Investors are now demanding proof of execution rather than promises.
Advanced Micro Devices and Salesforce are both pivoting heavily towards artificial intelligence, making them key players in the technology sector. AMD designs high-performance computing products for data centres and gaming, benefiting from partnerships with OpenAI and Anthropic. In the fiscal year ended 27 December 2025, AMD's revenue reached nearly $34.6 billion, representing growth of approximately 34.3% year over year. Net income was roughly $4.3 billion, with a net margin of nearly 12.5%. Free cash flow reached close to $6.7 billion. Salesforce provides a unified platform for managing customer relationships. The company recently completed its acquisition of Informatica and reached a definitive agreement to acquire Fin to enhance its AI agent capabilities.
Advanced Micro Devices shares fell nearly 4% to $465 on Wednesday, even as the broader Nasdaq rebounded. The chip maker reported strong second-quarter results, with data-centre revenue surging 107% to $6.7 billion, representing roughly 58% of total sales. However, investors remain cautious as competition intensifies in the AI chip market. Nvidia maintains dominance whilst hyperscalers like Google increasingly develop custom silicon, reducing reliance on merchant chips. Valuation concerns also weigh on the stock. According to GuruFocus, AMD trades 71.55% above its fair value estimate of $272.45. Whilst the company's growth story remains robust, the current share price appears to demand significant future performance to justify present levels.
Cerebras Systems has launched its CS-4 AI system, promising up to twice the token-generation speed of its predecessor, six times higher system-level performance, and up to 10 times more tokens per watt in certain applications. The company announced partnerships with OpenAI and AMD to enhance inference capabilities. The AMD collaboration features a split architecture where GPUs handle model prefill whilst Cerebras manages token decoding. Cerebras is expanding its data-centre capacity, with 600 megawatts of power expected online or under contract by the end of next year. The company is targeting AI-agent, design, coding, and cybersecurity applications that benefit from lower latency. CEO Andrew Feldman emphasised that inference speed has become a product-level consideration. Cerebras hardware powers OpenAI's GPT-5.6 Sol Ultrafast mode, which runs models at up to 14 times standard speed.
AMD shares have surged around 125% in 2026, but the chipmaker's valuation has reached concerning levels compared to rival Nvidia. AMD trades at 124 times trailing earnings versus Nvidia's 31 times, despite slower growth rates. Using 2027 projections, AMD still trades at 34 times earnings whilst Nvidia sits at 17.5 times forward earnings. AMD's Q2 data centre revenue grew 107% year-on-year, but Nvidia achieved 92% growth in its fiscal Q1 and may surpass AMD's rate when it reports results in late August. AMD's diversified business model has resulted in slower overall revenue and earnings growth than Nvidia, despite similar operations in AI infrastructure. The valuation disparity suggests AMD would need 18 months of growth to reach reasonable levels if shares remained flat.