Advanced Micro Devices, Inc

Senior AI Software Architect - Autonomous Systems

Advanced Micro Devices, Inc$130K — $180K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's or Master's in Electrical Engineering, Computer Engineering, Computer Science or related field
  • Proven experience with AI frameworks like PyTorch, TensorFlow, JAX, or ONNX Runtime
  • Strong knowledge of AI model analysis and optimization techniques
  • Deep expertise in ROCm or CUDA programming and GPU computing
  • Experience deploying AI models in autonomous systems and integration with ROS/ROS2
  • Excellent problem-solving skills and attention to detail
  • Strong communication and collaboration skills within cross-functional teams

Responsibilities

  • Select and optimize AI models for autonomous applications focusing on scalability and performance
  • Collaborate with teams to integrate AI frameworks into software stacks for real-world applications
  • Provide leadership in AI software best practices and efficient deployment strategies
  • Analyze and optimize AI software stack performance for inference in autonomous navigation
  • Stay updated on AI trends and technologies, offering insights to enhance capabilities

Benefits

  • Access to AMD benefits package
  • Hybrid work options available
  • Opportunities for professional development
  • Engagement in cutting-edge AI projects
Full Job Description
About the Role

We are seeking a highly skilled Senior AI Software Engineer to join our team. The ideal candidate will be responsible for designing and implementing AI-driven software solutions tailored for autonomous systems. This role requires deep expertise in AI frameworks, model analysis and optimization, GPU-accelerated computing, and system performance profiling within high-performance autonomous environments.

Key Responsibilities
  • Select and optimize AI models for autonomous applications, ensuring scalability, low latency, and real-time performance across edge and cloud deployments.
  • Collaborate with cross-functional teams to ensure seamless integration of AI frameworks into software stacks, optimizing inference pipelines and model performance for real-world use cases.
  • Provide technical leadership and guidance in AI software best practices, focusing on deep learning frameworks, GPU-accelerated computing, model compression, and efficient deployment strategies for autonomous systems.
  • Analyze and optimize AI software stack performance, particularly in real-time inference, GPU-accelerated, and autonomous navigation environments, identifying bottlenecks and implementing targeted improvements.
  • Stay updated with the latest trends and technologies in AI frameworks, foundation models, edge AI deployment and autonomous systems integration, offering insights and recommendations to continuously advance AI capabilities.

Preferred Experience
  • AI Frameworks: Proven experience designing and implementing solutions using leading AI frameworks such as PyTorch, TensorFlow, JAX, or ONNX Runtime, with a focus on autonomous applications.
  • AI Model Analysis & Optimization: Strong knowledge and hands-on experience with model profiling, benchmarking, quantization, pruning, and distillation techniques to optimize AI models for performance and efficiency.
  • ROCm, CUDA & GPU Computing: Deep expertise in ROCm or CUDA programming, GPU kernel optimization, and GPU memory management for accelerating AI inference and training workloads.
  • System Performance Analysis: Expertise in profiling and analyzing end-to-end AI system performance using tools such as NVIDIA Nsight, TensorRT, Triton Inference Server, or similar profiling and optimization platforms.
  • Autonomous Systems: Experience deploying AI models within software stacks, including integration with ROS/ROS2, real-time systems, and edge AI hardware platforms (NVIDIA Jetson, etc.).
  • Problem-Solving Skills: Excellent problem-solving skills and attention to detail in debugging complex AI model behavior, performance regressions, and hardware-software 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
  • Other locations are considered for exceptional candidates.

This role is not eligible for visa sponsorship.

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Benefits offered are described: AMD benefits at a glance.

About Advanced Micro Devices, Inc

Advanced Micro Devices, Inc. Careers

Join the innovative forefront of technology with a career at Advanced Micro Devices, Inc. (AMD), a leader in semiconductor development. As part of our global team, you will contribute to an organization renowned for its dedication to innovation, leadership, and diversity in the tech industry.

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Join a team of over 12,000 dedicated professionals at the intersection of technology, industry expertise, and digital innovation. At AMD, you will work on groundbreaking projects that shape the future of computing and graphics. Our collaborative environment encourages networking and the sharing of ideas across teams and disciplines.

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AMD is committed to the development of its employees. We offer robust training programs, including leadership development and diversity training, to ensure our team is equipped for both current challenges and future opportunities. Our benefits package is designed to support the well-being and financial security of our employees and their families.

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Learn more about Advanced Micro Devices, Inc
Size
15,500 employees
Market Cap
$100.9 billion
Industry
Net Income
$2.4 billion
Founded
1969
5 Year Trend
+30.9%
Revenue
$9.7 billion
NASDAQ

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