Principal AI Performance and Tools

AMD; San Jose (CA); Hybrid; USD 150,000 - 190,000; Full time

Benefits offered by this job

AMD benefits at a glance

Job summary

AMD is seeking a highly technical leader to shape AI performance strategy, benchmarking, and developer tools across platforms. You will partner with engineering, architecture, developer relations, and strategic customers to drive high-impact AI performance for inference, training, and emerging workloads.

The ideal candidate combines deep technical credibility with product judgment and customer empathy, capable of discussing tradeoffs with technical and executive audiences and guiding roadmaps

Qualifications

• Proven years of software engineering, systems architecture, or performance engineering experience.
• Hands-on experience with AI/ML frameworks and runtimes (PyTorch, TensorFlow, JAX, ONNX Runtime).
• Strong understanding of GPU computing, heterogeneous systems, and AI optimization.
• Experience with profiling, benchmarking, tracing, and observability.

Responsibilities

• Lead the technical strategy for AI performance analysis, benchmarking, profiling, optimization, and tools across AMD platforms.
• Partner with customers and internal stakeholders to define product requirements, roadmaps, and measurable success criteria for AI performance and tooling.
• Analyze inference and training workloads to identify bottlenecks and recommend architectural and software improvements.
• Develop rigorous performance narratives, including benchmark methodologies and workload characterization.
• Influence roadmaps for profiling, debugging, observability, and tuning tools across AMD’s AI software ecosystem.
• Translate customer requirements into prioritized engineering features, fixes, and optimization initiatives.
• Engage strategic customers, cloud providers, OEMs, ISVs, and open-source communities to understand real-world workflows.
• Define reference workflows and reproducible methodologies for optimizing AI models and applications.
• Collaborate with developer relations, solutions architecture, marketing, and sales to communicate capabilities and accelerate adoption.
• Represent AMD in customer briefings, technical forums, and industry events.

Skills

Performance engineering

ML infrastructure

Python

C++

CUDA

HIP

Cross-functional collaboration

Education

B.S. or M.S. in Computer Science/Engineering or related field

Tools

PyTorch

TensorFlow

JAX

ONNX Runtime

vLLM

Job description

ADVANCE YOUR CAREER. ADVANCE THE WORLD.

At AMD, we believetechnology has the power to solve the world’s most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies people rely on every day, innovation at AMDis shapingthefuture.

Whetheryou’redesigning next-gen processors, enabling AI breakthroughs, orbringing leading edge products to market, every role at AMD contributes to something bigger— technologythat moves the world forward.Join us and, together, we’ll advance your career.

THE ROLE

Shape the product direction, performance benchmarking strategy, and developer tools ecosystem for AMD Al software. You will be a partner with engineering, architecture, developer relations, and strategic customers to ensure AMD Al platforms deliver outstanding performance, usability, and value across inference, training and emerging Al workloads.

THE PERSON

The ideal candidate combines deep technical credibility with strong product judgment and customer empathy. You can move fluidly from low-level performance analysis to high-level product strategy, explain complex tradeoffs to technical and executive audiences, and align teams with competing priorities. You are passionate about emerging Al optimizations, algorithms and workloads. You influence effectively without direct authority, communicate clearly, and bring rigor to performance methodology, benchmarking, and developer experience.

KEY RESPONSIBILITIES

• Lead the technical strategy for Al performance analysis, benchmarking, profiling, optimization, and tools across AMD platforms.


• Partner with external customers and internal stakeholders to define product requirements, roadmap priorities, and measurable success criteria for Al performance and tooling initiatives.


• Analyze inference and training workloads across leading models, frameworks, and deployment environments to identify bottlenecks and recommend architectural and software improvements.


• Develop technically rigorous performance narratives, including benchmark methodologies, workload characterization, competitive analysis.


• Influence roadmaps for profiling, debugging, observability, compilers, runtimes, and performance‑tuning tools across AMD's Al software ecosystem.


• Translate customer requirements and performance gaps into prioritized engineering features, fixes, and optimization initiatives.


• Engage strategic customers, cloud service providers, OEMs, ISVs, Al companies, and open-source communities to understand real world development workflows and tooling needs.


• Define reference workflows, best practices, and reproducible methodologies for optimizing Al models and applications.


• Collaborate with developer relations, solutions architecture, marketing, and sales teams to communicate AMD's technical capabilities and accelerate adoption.


• Represent AMD in customer briefings, technical forums, industry events, standards organizations, and open‑source communities, as appropriate.

PREFERRED EXPERIENCE

• Proven years of experience in software engineering, systems architecture, performance engineering, Al/ML infrastructure, developer tools, or related disciplines.


• Hands‑on expertise withAl and machine learning frameworks and runtimes such as PyTorch, TensorFlow, JAX, ONNX Runtime, vLLM, or similar technologies.


• Strong understanding of GPU computing, heterogeneous systems, model serving, and Al optimization.


• Experience with performance profiling, benchmarking, tracing, debugging, compiler technologies, runtimes, or systems observability.


• Proficiency in one or more programming languages, including Python, C++, C, HIP, CUDA, or similar languages.


• Demonstrated ability to analyze complex system performance behavior and communicate findings clearly ttechnical and executive audiences.


• Experience influencing cross functional product and engineering roadmaps without direct reporting authority. Strong product judgment, customer empathy, and the ability to balance technical depth with business and ecosystem priorities.


• Excellent written, verbal, and presentation skills.


• Experience withAMD ROCm ™ , HIP,Triton, FlyDSL, vLLM, SGLang, distributed computing libraries, or open sourceAl frameworks and libraries.


• Experience optimizing large language models, generative Al, recommendation systems, computer vision, or scientific computing workloads.


• Familiarity with cloudAl platforms, Kubernetes‑based deployments, model‑serving stacks, and enterpriseAl operations.


• Contributions to open‑source projects, published technical work, patents, or recognized expertise in Al systems or performance engineering.


• Experience working with major cloud providers, server OEMs,Al startups, or enterprise customers.

ACADEMIC CREDENTIALS

• B.S. or M.S. in Computer Science, Computer Engineering, Electrical Engineering, Business, or a related field.

LOCATION

• San Jose, CA preferred.


• Other locations may be considered.

This role is not eligible for visa sponsorship.

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Benefits offered are described: AMD benefits at a glance.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee‑based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third‑party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.

This posting is for an existing vacancy.