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How much do amd machine learning jobs pay per hour?

As of Jun 9, 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.
ASIC Design Verification Engineer

ASIC Design Verification Engineer

Advanced Micro Devices, Inc

Austin, TX • On-site

$175K/yr

Full-time

Posted 3 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

24th 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 AMD UMC Team (part of the MSIP organization) is looking for an ASIC Design Verification Engineer to join our growing team. We develop leading-edge DDR/LPDDR technologies powering data center and machine learning workloads. This team is part of the development for tomorrow's clients, server, embedded, graphics, and semi-custom chips. You will be involved in all aspects of IP verification starting from helping to create a verification architecture, defining test plans, verification environment development, and verification closure/sign-off.
As a key contributor to the success of AMD's IP, you will be part of a leading team to drive and improve AMD's abilities to deliver the highest quality, industry leading technologies to market. The NBIO Team fosters and encourages continuous technical innovation to showcase successes as well as facilitate continuous career development.
THE PERSON
I am a strong analytical thinker with excellent problem-solving abilities and keen attention to detail. I work well in team environments and communicate effectively, drawing on solid interpersonal skills. A self-starter by nature, I independently drive tasks to completion and thrive in fast-paced, multi-project settings that use state-of-the-art tools and technologies. I maintain a continuous improvement mindset and bring strong expertise as a verification lead and architect.
KEY RESPONSIBILITIES
  • Collaborate with IP architects to come up with verification architecture and development plans
  • Participate in verification of complex IP blocks and take end-to-end ownership of key features for all projects
  • Work on test plans, verification environment development, regression, and coverage closure
  • Develop modifying and maintaining VIP, libraries, verification environments, testcases (random and directed) using System Verilog/UVM/SystemC
  • Triaging and Debugging Regressions
  • Analyzing code and functional coverage
  • Deploying industry-leading verification methodologies such as UVM and formal Verification
  • Reproducing functional bugs found in post-silicon in dynamic simulation and/or formal verification environments
  • Conducting and participating in code reviews
  • Develop and maintain scripts and tools to continuously improve in engineering infrastructure, methodology and execution

PREFERRED EXPERIENCE
  • ASIC verification experience
  • Strong understanding of digital design and computer architecture
  • Proficient in Verilog, System Verilog, C/C++, UVM, OOP, and working in Linux and Windows environments
  • ASIC design knowledge and be able to debug System Verilog RTL code using simulation tools
  • Experience in security verification would be an asset

ACADEMIC CREDENTIALS
  • BS/MS degree in Engineering (Electrical, Electronics, Computer) or Computer Science.

This role is not eligible for Visa sponsorship.
#LI-DP1
#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.

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