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How much do amd machine learning jobs pay per hour?

As of Jul 14, 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.

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 July 2026, with employment types broken down into 2% Locum Tenens, 34% Internship, 47% Full Time, 4% Part Time, 8% Contract, and 5% Summer. Highlights an 69% Physical, 5% Hybrid, and 26% Remote job distribution, with an average salary of $44,224 per year, or $21.3 per hour.
Principal Robotics Simulation Architect

Principal Robotics Simulation Architect

Advanced Micro Devices, Inc

Austin, TX • Hybrid

Full-time

Re-posted 12 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

25th of 142 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.  



About the Role

We are seeking a highly skilled Senior Robotics Simulation Expert to join our team. The ideal candidate will be responsible for selecting and advancing simulation architecture solutions tailored for robotic systems. This role requires a deep understanding of robotics simulation stacks, including digital twin development, sim-to-real/real-to-sim pipelines, cloud-based simulation infrastructure, and AI integration within autonomous environments.

Key Responsibilities

  • Collaborate with cross-functional teams to build and refine robust pipelines for transferring learned behaviors, sensor models, and physics parameters between simulation and real-world robotic systems, minimizing the reality gap through domain randomization and adaptation techniques.
  • Architect and deploy scalable simulation infrastructure on cloud platforms, ensuring seamless parallel simulation runs, distributed training environments, and on-demand access optimized for robotic use cases with low latency and high performance.
  • Provide technical leadership in integrating AI/ML frameworks into simulation environments, enabling reinforcement learning, synthetic data generation, autonomous behavior training, and intelligent environment modeling.
  • Design and implement SIL testing frameworks to validate robotic software stacks — including perception, planning, and control modules — within simulated environments.
  • Develop and maintain HIL testing setups that interface real hardware components with simulated environments, ensuring real-time performance validation, system integrity, and hardware-software compatibility verification.
  • Stay updated with the latest trends and technologies in robotics simulation frameworks, automation, AI/ML integration, and sim-to-real methodologies, offering insights and recommendations to continuously enhance simulation capabilities.

Preferred Experience

  • Simulation Platforms: Proven experience in simulation architecture using platforms such as NVIDIA Isaac Sim, Gazebo, MuJoCo, Webots, or Unreal Engine, tailored to specific robotic applications.
  • Digital Twin Frameworks: Strong knowledge and hands-on experience developing and maintaining digital twin models for robotic systems, including real-time state synchronization and physics calibration.
  • Sim-to-Real & Real-to-Sim Pipelines: Experience designing domain randomization strategies, sensor noise modeling, and physics engine calibration to bridge the gap between simulation and real-world deployment.
  • Cloud Simulation Infrastructure: Expertise in architecting and deploying simulation environments on cloud platforms including containerized and distributed simulation workflows.
  • AI/ML Integration: Experience integrating machine learning frameworks (PyTorch, TensorFlow, Isaac Lab, or similar) into simulation pipelines for policy training, synthetic data generation, and autonomous behavior development.
  • SIL & HIL Testing: Hands-on experience designing and executing Software-in-the-Loop and Hardware-in-the-Loop testing workflows, including real-time simulation interfacing and embedded system integration.
  • Robotics Frameworks: Proven experience with ROS and ROS2 in simulation and real-world robotic deployments.
  • Problem-Solving Skills: Excellent problem-solving skills and attention to detail in debugging complex hardware-software-simulation interactions.
  • Collaboration and Communication: Ability to work collaboratively in a cross-functional team environment with strong written and verbal communication skills.

ACADEMIC CREDENTIALS: 

  • Bachelor’s or Master’s in Electrical Engineer, Computer Engineering, Computer Science, or a closely related field 

Location

  • Austin, TX
  • Santa Clara, CA
  • Other locations are considered for exceptional candidates.

This role is not eligible for visa sponsorship.

#LI-BW2

#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.

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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