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How much do amd machine learning jobs pay per hour?

As of Aug 5, 2026, the average hourly pay for amd machine learning in Texas is $21.26, according to ZipRecruiter salary data. Most workers in this role earn between $18.37 and $23.75 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 is an AMD machine learning engineer?

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.

What are the key skills and qualifications needed to thrive as an AMD machine learning engineer?

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.
What are popular job titles related to Amd Machine Learning jobs in Texas? For Amd Machine Learning jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Amd Machine Learning jobs in Texas look for? The top searched job categories for Amd Machine Learning jobs in Texas are:
Amd Machine Learning jobs near you
Infographic showing various Amd Machine Learning job openings in Texas as of July 2026, with employment types broken down into 2% Locum Tenens, 27% Internship, 52% Full Time, 4% Part Time, 12% Contract, and 3% Summer. Highlights an 62% Physical, 8% Hybrid, and 30% Remote job distribution, with an average salary of $44,224 per year, or $21.3 per hour.

Data Center Engineer

Advanced Micro Devices, Inc

Austin, TX

Full-time

Re-posted 20 hours ago

Advanced Micro Devices rating

8.6

Company rating: 8.6 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

27th of 156 rated electronics manufacturers

Job description


ADVANCE YOUR CAREER. ADVANCE THE WORLD.

At AMD, we believe technology can change lives for the better. It can heal us, entertain us, and make us more connected, productive, and understanding of the world around us. And we’re looking for talent who feel the same: people who want to leave the planet better than they found it, those who don’t shy away from humanity’s challenges but are determined to help solve them.

AMD is powering the next generation of supercomputing, high-performance computing, cloud, and AI. Whether you’re designing next-gen processors, enabling AI breakthroughs, or creating go-to-market plans, every role at AMD contributes to something bigger — technology that moves the world forward.



THE ROLE:

In this critical and highly technical role, you will be responsible for executing AMD's Datacenter graphics hardware/software subsystem projects for AMD OEM partners and enterprise commercial end-customers. This position provides a unique opportunity to leverage your expertise in graphics, compute, datacenter technologies, virtualization, AI/Machine Learning, and program management to collaborate with customers utilizing AMD Instinct™ Accelerators.

You must be a team player with a strong commitment to meeting deadlines and the ability to thrive in a fast-paced, multi-tasking environment.

THE PERSON:

The ideal candidate possesses exceptional datacenter deployment and troubleshooting skills in AI GPU hardware, software, and networking. They are highly analytical, detail-oriented, self-motivated, and maintain a positive, results-driven attitude. This role may require up to 75% travel. 

KEY RESPONSIBILITIES:

  • Perform node and cluster-level software installation and validation for GPU/compute AI and Machine Learning projects.
  • Resolve technical issues for customers utilizing AMD Instinct™ products.
  • Provide technical guidance and support to customers for server graphics and compute projects related to AI and Machine Learning workloads.
  • Build datacenter GPU dockers and containers for customer testing and deployment.
  • Qualify and assess new software functionality to ensure compatibility with customer requirements.
  • Assist development teams in identifying and resolving hardware/software technical issues throughout the product lifecycle, from initial hardware bring-up to end-of-life.
  • Follow procedures to communicate, report, and escalate incidents to AMD Management.
  • Collaborate with program managers to maintain project schedules, track action items, ensure deliverables are met, and provide project status updates to customers and AMD management.
  • Develop a strong understanding of the client’s business to ensure impactful and effective task completion.

PREFERRED EXPERIENCE:

  • Experience in:
    • Datacenter customer support roles.
    • Large-scale cluster deployment within hyperscale datacenters.
    • Server architecture and functionality, including remote management, network topologies, and graphics software/hardware subsystems.
    • Linux installation, setup, usage, and debugging.
    • Virtual environments (e.g., VMWare, Citrix, KVM, Microsoft) and virtual machine setup/management.
    • Datacenter GPU software stacks such as AMD ROCm™ or Nvidia CUDA.
    • Validating multimode AI clusters using AMD tools (e.g., AGFHC, RCCL RDMA) or equivalents.
  • AI/Machine Learning workloads, frameworks, and models.
  • Strong debugging, problem-solving, and analytical skills.
  • Excellent verbal and written communication skills for conveying technical information.
  • Self-starter with attention to detail, organizational skills, and the ability to multitask in a fast-paced environment.

ACADEMIC CREDENTIALS:

  • Bachelor’s or Master’s degree in computer engineering, Electrical Engineering, Computer Science 
  • Technical certifications in relevant software systems are highly desirable

This role is not eligible for visa sponsorship.

#LI-KW1



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.

Qualifications:

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.

Education:UNAVAILABLEEmployment Type: FULL_TIME

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