Singapore, Singapore
Actively hiring, first seen by us 7 hours agoEmployment type in the employer’s posting: FULL_TIMEFrom the employer’s posting
You will work at the intersection of machine learning, systems, and computer architecture to advance the performance, efficiency, and interactivity of emerging AI workloads.
Develop methods for efficient large-scale AI inference, targeting improvements in latency, throughput, cost, and interactivity.
THE PERSON: The ideal candidate is a systems researcher with strong analytical and implementation skills. You will work at the intersection of machine learning, systems, and computer architecture to advance the performance, efficiency, and interactivity of emerging AI workloads. You should be able to formulate open-ended research problems, work across multiple levels of the system stack, and validate ideas through rigorous analysis and experimentation. You should also be comfortable leading technically ambiguous projects, collaborating across teams, and adapting research directions to emerging technical opportunities and product priorities. KEY RESPONSIBILITIES:
The Staff Researcher will independently define and lead research projects. Responsibilities include: Develop methods for efficient large-scale AI inference, targeting improvements in latency, throughput, cost, and interactivity. Develop simulators, emulators, analytical models, and research prototypes to study end-to-end inference-system behavior, including compute, memory, communication, scheduling, and data center-scale constraints.
PREFERRED EXPERIENCE: - Strong hands-on research experience , including PHD research, laboratory work, internships, or work in academic or industrial research groups - Research or development experience in machine learning systems, particularly large-scale inference, performance modeling and simulation, distributed systems and networking, computer architecture, hardware–software co-design, or GPU and accelerator programming.
ACADEMIC CREDENTIALS: - Ph.D. in Computer Engineering, Computer Science, Electrical Engineering, or a closely related field. LOCATION:
Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
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Early. Similar jobs usually come down between day 8 and day 59.
At Advanced Micro Devices, jobs usually come down by about day 33.
From 11,556 similar postings that came down, and 55 of Advanced Micro Devices’s. Coming down is not always a hire.
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New Data Scientist postings at the employers we follow are down 4% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
ADVANCE YOUR CAREER. ADVANCE THE WORLD.
At AMD, we believe technology 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 AMD is shaping the future.
Whether you’re designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger — technology that moves the world forward. Join us and, together, we’ll advance your career.
THE ROLE:
AMD is seeking a Member of Technical Staff (Staff Researcher) to research and build next-generation machine learning systems, with an emphasis on large-scale AI inference, performance analysis, and system simulation.
You will join the AMD Research and Advanced Development (RAD) group, which creates differentiated technologies, de-risks future systems and products, and seeds new market opportunities. The team investigates machine learning systems, AI infrastructure, computer architecture, and heterogeneous computing across hardware and software.
THE PERSON:
The ideal candidate is a systems researcher with strong analytical and implementation skills. You will work at the intersection of machine learning, systems, and computer architecture to advance the performance, efficiency, and interactivity of emerging AI workloads. You should be able to formulate open-ended research problems, work across multiple levels of the system stack, and validate ideas through rigorous analysis and experimentation. You should also be comfortable leading technically ambiguous projects, collaborating across teams, and adapting research directions to emerging technical opportunities and product priorities.
KEY RESPONSIBILITIES:
The Staff Researcher will independently define and lead research projects. Responsibilities include:
PREFERRED EXPERIENCE:
ACADEMIC CREDENTIALS:
LOCATION:
Singapore
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.
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Singapore, Singapore
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