San Jose, California, United States · Hybrid
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in …
Skills: Network Optimization, GPU Architecture, Performance Modeling, AI Frameworks, Distributed Inference
San Jose, California, United States · On-site
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San Jose, California, United States · On-site
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San Jose, California, United States · On-site
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Archer is an aerospace company based in San Jose, California building an all-electric vertical takeoff and landing aircraft with a mission to advance the benefits of sustainable air mobility. We are designing, manufactur…
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San Jose, California, United States · On-site
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San Jose, California, United States · On-site
Company Description WD is building the infrastructure behind the AI-driven data economy. As AI scales, so does data. Every interaction, every model, every system generates data that must be stored, managed, and made acce…
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San Jose, California, United States · On-site
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San Jose, California, United States · On-site
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San Jose, California, United States · On-site
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San Jose, California, United States · On-site
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San Jose, California, United States · On-site
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San Jose, California, United States · On-site
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San Jose, California, United States · On-site
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San Jose, California, United States · On-site
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At Serve Robotics, we’re reimagining how things move in cities. Our personable sidewalk robot is our vision for the future. It’s designed to take deliveries away from congested streets, make deliveries available to more …
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San Jose, California, United States • Hybrid
Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
Drive AMD's strategy and architecture for AI pre-training and distributed inference performance on GPUs. This includes performance tuning for large-scale models and collaborating on hardware-software co-design for future network optimizations.
Requires deep expertise in network and GPU hardware architecture, AI frameworks, and distributed deployment at scale. A PhD or Master's degree in Computer Science or Electrical Engineering is preferred.
WHAT YOU DO AT AMD CHANGES EVERYTHING
At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career.
T
THE ROLE:
Senior level engineer who will be responsible for driving AMD’s strategy, architecture, optimization and tooling to achieve industry-leading AI Pre-training and Distributed Inference Performance on AMD GPU. You will partner across hardware architecture, AI frameworks, compilers, runtime, ROCm, developer tools and model to scale performance analysis and optimization.
As an engineer of Collectives and Network performance, you will help drive the end-to-end technical performance attainment across the entire software stack focusing on getting the best performance on multiple generations of AMD GPUs with wide range of models including latest state-of-the-art AI models. You will help set the strategy and roadmap for general optimization, accelerating supporting new models and out of box performance.
If you are passionate about performance optimization, getting the best out of the hardware, and shaping the future of AI acceleration, then this role is for you.
THE PERSON:
The ideal candidate will have deep knowledge with Network, NIC and GPU hardware architecture, software optimization, performance modeling, AI frameworks and latest trend in inference and training optimization. Hand-on experience in mapping model architecture to low level software, hardware and understanding the impact of each layer of the stack on model performance. Strong knowledge in latest generative model architecture, especially SoTA models, distributed inference and deployment at scale is crucial.
KEY RESPONSIBILITIES:
PREFERRED EXPERIENCE:
ACADEMIC CREDENTIALS:
LOCATION:
San Jose, CA (hybrid)
This role is not eligible for visa sponsorship.
#LI-MV1
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.
together we advance_
We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives. AMD together we advance_
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Based on 1915 listings with disclosed salaries, most technology jobs in San Jose, CA pay between $119k–$277k per year. Individual offers vary with seniority, company size, and specialization.
There are currently 2,232 open technology positions in San Jose, CA listed on Clera. New openings are added daily as companies post roles.
Companies currently hiring include Adobe, Cisco, Google, Teradyne, AMD, among others. Browse the listings above to see every active employer.
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