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Amd Machine Learning Jobs in Texas (NOW HIRING)

AMD

ML/AI Engineer

Austin, TX · On-site

Required : • Strong understanding of machine learning, principles of statistical analysis and ... AMD AI engineering team to ensure seamless AI development and integration. • Use AI analysis to ...

AMD

Software Development Engineer - GPU

Austin, TX · On-site

Required : • Strong technical background in GPU/APU programming, C++, and machine learning • Ability to communicate effectively and work optimally with different teams across AMD • Leadership ...

Advanced Micro Devices, Inc

ML/AI Engineer

Austin, TX · On-site

$156K/yr

The candidate is a technical expert in Machine Learning (ML) and Artificial Intelligence (AI) tool ... Work with AMD AI engineering team to ensure seamless AI development and integration. * Use AI ...

Advanced Micro Devices, Inc

ML/AI Engineer

Austin, TX · Hybrid

The candidate is a technical expert in Machine Learning (ML) and Artificial Intelligence (AI) tool ... Work with AMD AI engineering team to ensure seamless AI development and integration. * Use AI ...

Advanced Micro Devices, Inc

Manufacturing Engineer

Austin, TX · Hybrid

$72K - $93K/yr

The role is critical to advancing AMD's assembly capabilities, particularly for our expanding portfolio of Machine Learning and Artificial Intelligence products. Success in this position requires ...

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Amd Machine Learning information

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$12

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$28

How much do amd machine learning jobs pay per hour?

As of Jun 15, 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 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.
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 June 2026, with employment types broken down into 1% As Needed, 92% Full Time, 4% Part Time, 1% Temporary, and 2% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $44,224 per year, or $21.3 per hour.
ML/AI Engineer

ML/AI Engineer

AMD

Austin, TX • On-site

Full-time

Posted 11 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

Job Summary:
AMD is a company focused on building products that accelerate next-generation computing experiences. They are seeking an ML/AI Engineer who will be responsible for developing and deploying machine learning and artificial intelligence tools, conducting data analytics, and ensuring the quality of ML/AI models in production environments.
Responsibilities:
• Develop, deploy, and test ML/AI software tools.
• Use Python, JavaScript, and C++ to create a faster, more capable AI.
• Conduct data analytics and statistical analysis, develop algorithms and automation scripts.
• Work with AMD AI engineering team to ensure seamless AI development and integration.
• Use AI analysis to make strategy recommendations that align with the team’s goals.
• Stay current on AI knowledge, trends, and regulations.
• Collect, organize, and present progress with team leadership and stakeholders.
Qualifications:
Required:
• Strong understanding of machine learning, principles of statistical analysis and algorithms.
• Experience with developing and deploying ML/AI models in production.
• Develop, deploy, and test ML/AI software tools.
• Use Python, JavaScript, and C++ to create a faster, more capable AI.
• Conduct data analytics and statistical analysis, develop algorithms and automation scripts.
• Work with AMD AI engineering team to ensure seamless AI development and integration.
• Use AI analysis to make strategy recommendations that align with the team’s goals.
• Stay current on AI knowledge, trends, and regulations.
• Collect, organize, and present progress with team leadership and stakeholders.
• Bachelor’s degree or master’s degree in Computer Science, Computer Engineering, Mathematics, or related field.
Preferred:
• In-depth knowledge of computer programming languages, such as Python, JavaScript, and C++.
• Deep understanding of data science, linear algebra, algorithms, and statistics.
• Experience developing and deploying machine learning.
• Practical knowledge of neural networks and data science.
• Experience with PyTorch, Tensorflow and Python packages, such as NumPy.
• Experience with web development using Javascript and frameworks such Flask, Angular, ASP.Net Core, etc.
• Experience using relational (SQL) and noSQL databases.
• Excellent problem-solving skills with the ability to thrive in a demanding, fast-paced work environment.
• Strong interpersonal and communication skills and a willingness to collaborate with different functional teams.
Company:
Advanced Micro Devices is a semiconductor company that designs and develops graphics units, processors, and media solutions. Founded in 1969, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.

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