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Amd Machine Learning Jobs in Texas (NOW HIRING)

Advanced Micro Devices, Inc

Senior Cloud Engineer

Austin, TX · Hybrid

$55.25 - $73.75/hr

WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that ... Strong active listening and consensus-building skills and passionate about learning and sharing ...

Eaton

Field Application Engineer, Electronics

Austin, TX · On-site

$123K - $181K/yr

... AMD, AWS(machine learning), HPE, HPI, Meta, IFX and TI. The job requires frequent travel to various locations, collaborate with customers for product/project designing and developing. Visiting ...

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How much do amd machine learning jobs pay per hour?

As of Jun 10, 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.

Which 3 jobs will survive AI?

For Amd Machine Learning professionals, roles such as data scientists, machine learning engineers, and AI researchers are likely to persist as they require complex problem-solving, domain expertise, and ongoing innovation that AI tools currently cannot fully replicate. These jobs involve designing, developing, and maintaining AI systems, often requiring advanced programming skills, knowledge of algorithms, and critical thinking. Continuous learning and staying updated with new AI techniques are essential for long-term career resilience in this field.

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.
Senior Cloud Engineer

Senior Cloud Engineer

Advanced Micro Devices, Inc

Austin, TX • Hybrid

$55.25 - $73.75/hr

Full-time

Posted 17 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

23rd 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:

The Cloud Engineer will be responsible for providing technical support to Engineering and Corporate organizations at AMD. This position will be required to support AMD’s global cloud infrastructure in a dynamic, fast-paced environment. Furthermore, this person will be collaborating globally on efforts for various IT activities related to the AMD Engineering AI/GPU - Compute Environment, in accordance with AMD Worldwide IT strategies and objectives.

THE PERSON: 

You're a highly motivated team player with a strong development background, problem solving mentality, excellent communication skills, ability to prioritize tasks along with willingness to learn and adapt. Excellent teamwork skills and capable of working independently.  

KEY RESPONSIBILITIES: 

  • Design, develop, deploy, monitor, maintain, and evolve cloud-native resources, tools, services, reusable modules (infrastructure-as-code-practices) and frameworks to secure and automate provisioning of cloud infrastructure that empowers our users across Azure, AWS, GCP.
  • Provide customers with standards and best practices on how to deploy and consume cloud-based services.  
  • Proactively seek opportunities to improve operational efficiency of teams and usage of cloud services.
  • Contribute to a strong team-culture and an atmosphere of cross-functional teamwork.
  • Work with internal customers in managing incident tickets to achieve operational excellence.
  • Work with global teams to provide support and complete IT projects.
  • Create secure hybrid deployments of virtual machines, and PaaS solutions in Azure, AWS, GCP.
  • Work with Project teams to understand and accommodate application architecture and the App’s specific requirements for Azure, AWS, and GCP.
  • Collaborate with other engineers and stakeholders to share knowledge and build expertise for IaaS, PaaS, and Saas deployment.
  • Collaborate with onshore and offshore resources.
  • Implementing and automating security controls, governance processes, and compliance validation by closely partnering with the Security Team to incorporate respective requirements and best practices to keep our Cloud Env safe and secure.
  • Applies experience in migrating on-premises applications and workloads to Azure, AWS, GCP using cloud technologies and providing support.
  • Drives identity (IAM), access, and configuration management for cloud native tools.
  • Responsible for the Recovery and Continuity process for cloud environments.

 

 PREFERRED EXPERIENCE: 

  • Terraform, YAML, Jenkins, GitHub actions.
  • Python, Golang, Shell, Java/J2EE, NodeJS, ReactJS, HTML5, PyTorch
  • Able to build and support a full CI/CD pipeline to support consistent code deployment.
  • Preferred understanding of AI framework
  • Managing GPU clusters optimizing GPU-based services/tools/software
  • Experience with Container technologies (GKE, EKS, ECS, Docker, Kubernetes) is desirable.
  • Understanding CHANGE Management/Release Process
  • Strong analytical and problem-solving skills.
  • Strong understanding of Agile/Scrum methodologies.
  • Strong written and verbal communication skills. Ability to effectively communicate technical issues and solutions to peers and external vendors.
  • Strong active listening and consensus-building skills and passionate about learning and sharing knowledge with others.
  • Infrastructure automation like Ansible, Terraform, or Cloud Formation, Deployment Mgr., and Resource Mgr.
  • Designing, developing, and implementing solutions that improve efficiency and reduce costs through Kubernetes/containers, virtualization, functions, and automation.
  • Experiences in building and managing complex cloud environments in Azure, AWS, GCP including security measures for encryption, authorization, and protocols.
  • Monitoring system performance, conducting capacity planning, identifying trends, and providing recommendations to improve service levels via automation.
  • Working closely with software development teams to troubleshoot and resolve issues.
  • Understand cloud networking (VPCs), Load balancers, WAFs and CDNs
  • Experience deploying, managing, administering, and migrating Infrastructure platforms in a Hybrid environment.
  • Strong understanding of different deployment resource types and when to deploy each type (IaaS, PaaS, SaaS).
  • Experience with Cloud native monitoring tools and also Nagios, ELK stack, Kibana/Prometheus.
  • Proactive and empathetic mindset - you love to roll up your sleeves to fix problems for our customers.
  • Ability to juggle multiple projects and priorities and re-prioritize as necessary to align with current business.
  • Strong organizational ability.

ACADEMIC CREDENTIALS: 

  • Bachelor's degree in Computer Science, Engineering, or a related field.

LOCATION:

Austin, TX

This role is not eligible for visa sponsorship.

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#LI-AP1



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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