ZipRecruiter

Log In

1

Amd Machine Learning Jobs (NOW HIRING)

next page

Showing results 1-20

All JobsAmd Machine Learning Jobs

Amd Machine Learning information

See salary details

$13

$22

$31

How much do amd machine learning jobs pay per hour?

As of Jun 26, 2026, the average hourly pay for amd machine learning in the United States is $22.82, according to ZipRecruiter salary data. Most workers in this role earn between $19.71 and $25.48 per hour, depending on experience, location, and employer.

What are some common challenges faced by machine learning engineers at AMD, and how can applicants prepare to address them?

Machine learning engineers at AMD often work on optimizing algorithms for high-performance hardware, which requires balancing model accuracy with computational efficiency. A common challenge is adapting complex models to run efficiently on specialized AMD hardware such as GPUs and accelerators. Applicants can prepare by gaining hands-on experience with parallel computing, understanding low-level hardware optimization, and becoming familiar with AMD’s development tools and frameworks. Collaboration with hardware engineers and software teams is also frequent, so strong communication and teamwork skills are essential.

What are AMD machine learning engineers?

AMD machine learning engineers are professionals who develop, optimize, and deploy machine learning models using AMD hardware and software platforms. They work on designing algorithms and frameworks that leverage AMD GPUs and accelerators for tasks such as data analysis, computer vision, and artificial intelligence. Their responsibilities often include collaborating with software developers, data scientists, and hardware engineers to ensure machine learning solutions run efficiently on AMD architecture.

What is the difference between Amd Machine Learning vs Data Scientist?

AspectAmd Machine LearningData Scientist
Required CredentialsBachelor's or higher in CS, ML, or related fields; certifications like AWS, AzureBachelor's or higher in CS, Statistics, or related fields; certifications like SAS, Python
Work EnvironmentTech companies, R&D labs, AI startupsBusiness analytics, finance, healthcare, tech firms
Industry UsageDeveloping ML models, algorithms, AI solutionsData analysis, insights, predictive modeling
Common Search/ComparisonYesYes

While both roles involve working with data and algorithms, Amd Machine Learning focuses on developing machine learning models and AI solutions, often requiring specialized technical skills. Data Scientists analyze data to generate insights and support decision-making, with a broader scope that includes statistical analysis. Both roles are vital in tech-driven industries but differ in their primary focus and skill sets.

Can AMD be used for machine learning?

AMD provides hardware such as Ryzen CPUs and Radeon GPUs that can be used for machine learning tasks. AMD's ROCm platform supports popular frameworks like TensorFlow and PyTorch, enabling developers to run machine learning workloads on AMD hardware effectively.

What engineers make $500,000?

Senior machine learning engineers and AI specialists with extensive experience, advanced skills in deep learning, and proficiency in tools like TensorFlow or PyTorch can reach salaries of $500,000 or higher, especially in high-cost-of-living areas or top tech companies. Achieving this level often requires a strong educational background, specialized certifications, and a track record of impactful projects.

Is it hard to get hired at AMD?

Getting hired for an AMD Machine Learning role can be competitive due to the company's focus on advanced technology and skilled candidates. Candidates typically need a strong background in machine learning, programming skills in languages like Python or C++, and relevant experience or certifications. The hiring process often involves technical interviews and assessments to evaluate technical proficiency and problem-solving abilities.

Which 3 jobs will survive AI?

Amd Machine Learning professionals are likely to find that roles involving complex problem-solving, creative thinking, and human interaction will persist despite AI advancements. Jobs such as data scientists, AI specialists, and machine learning engineers will continue to be in demand due to their need for specialized skills, domain knowledge, and ongoing innovation. These roles often require advanced programming, understanding of algorithms, and continuous learning to adapt to evolving technologies.

What are the key skills and qualifications needed to thrive as an AMD Machine Learning Engineer, and why are they important?

To thrive as an AMD Machine Learning Engineer, you need strong programming skills in Python or C++, a deep understanding of machine learning algorithms, and typically a degree in computer science or a related field. Familiarity with AMD hardware, GPU acceleration libraries like ROCm, and frameworks such as TensorFlow or PyTorch is essential. Analytical thinking, problem-solving, and effective collaboration are vital soft skills for excelling in this multidisciplinary environment. These skills ensure robust ML model development and optimization that leverage AMD hardware capabilities for high-performance computing applications.
More about Amd Machine Learning jobs
What cities are hiring for Amd Machine Learning jobs? Cities with the most Amd Machine Learning job openings:
What states have the most Amd Machine Learning jobs? States with the most job openings for Amd Machine Learning jobs include:
What job categories do people searching Amd Machine Learning jobs look for? The top searched job categories for Amd Machine Learning jobs are:
Amd Machine Learning jobs near you
Infographic showing various Amd Machine Learning job openings in the United States as of June 2026, with employment types broken down into 100% Part Time. Highlights an 65% Physical, 13% Hybrid, and 22% Remote job distribution, with an average salary of $47,468 per year, or $22.8 per hour.
Senior GPU Performance and Power Benchmark Engineer

Senior GPU Performance and Power Benchmark Engineer

Advanced Micro Devices, Inc

Austin, TX • On-site

$175K/yr

Full-time

Posted 5 days ago

Advanced Micro Devices rating

8.4

Company rating: 8.4 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

22nd of 139 rated electronics manufacturers

Job description

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.
THE ROLE:
AMD is committed to contributing to the future of the computing ecosystem, such as by participating in the development of industry standard performance and power benchmarks. This individual will join AMD's Data Center Solutions Group (DSG) Architecture and Strategy team, a highly experienced organization of hardware and software engineers driving innovation across the full server stack-from node-level and rack-level design to security, cloud computing, memory technologies, high-performance fabrics, and beyond. In this role, the candidate will lead AMD's involvement in shaping the next generation of industry standard GPU performance and power benchmarks. These benchmarks are expected to play a significant role in government energy-efficiency regulations worldwide and will help inform how the efficiency of GPU-based servers is evaluated, positioned, and communicated across the industry.
THE PERSON:
  • A self-starter that possesses excellent communication, leadership and interpersonal skills to be able to interact both inside and outside of AMD.
  • Can overcome complex hurdles with minimal support, while keeping management appropriately informed and escalating important decisions when warranted.
  • Be well-spoken with strong leadership, debate and influencing skills, especially in peer groups
  • Have excellent problem-solving skills, an inquisitive mindset, and a strong focus on automation and technical investigation.

KEY RESPONSIBILITIES:
  • Represent AMD externally to industry standard benchmark development organizations, including attending remote and in person meetings
  • Lead AMD strategy for the development and measurement of a series of industry standard GPU performance and power benchmarks
  • Measure performance and power on AMD and competitive GPU servers, including collection of relevant telemetry data, such as hardware performance counters.
  • Investigate and root cause performance or power anomalies related to in development benchmarks, with support from relevant experts
  • Develop and present benchmark design or adjustment proposals
  • Internally coordinate with and inform GPU software and hardware architecture, product management and marketing teams

PREFERRED EXPERIENCE:
  • Strong knowledge of Artificial Intelligence (AI) and machine learning concepts, with practical experience applying these techniques to solve real-world problems through research or industry work.
  • Deep technical understanding of server GPU hardware and software architecture, along with solid knowledge of server system and CPU architecture, including GPU/AI accelerator hardware-software interactions.
  • Experience with GPU programming platforms like CUDA or HIP and deep learning frameworks, such as PyTorch, Triton, or JAX.
  • Strong programming and scripting skills in languages such as Python, C++ and Java and using tools like Git.
  • Understanding of multi-GPU communication technologies, such as UALink, NVLink, RCCL, and NCCL topologies and their performance characteristics.
  • Advanced Linux OS and system expertise, including containers (e.g. Docker), system bring-up, debugging, and configuration, as well as familiarity with Windows.
  • Experience with power and performance benchmarking, including experience with CPU performance counters, workload profiling and software profiling/debugging tools.
  • Advanced data analysis skills, especially in support of performance characterization, benchmarking, and optimization.
  • Experience with industry standards organization, especially benchmark development organizations, such as SPEC, MLCommons, or TPC, a strong plus.

ACADEMIC CREDENTIALS:
  • Bachelor's or higher degree in Electrical or Computer Engineering

LOCATION:
  • Austin, TX (team-based), with flexibility for other locations depending on candidate experience.

This role is not eligible for visa sponsorship.
#LI-EV1
#LI-HYBRID
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.

Apply