Senior AI Software Architect - Autonomous Systems

Advanced Micro Devices, Inc.; Folsom (CA); On-site; USD 180,000 - 270,000; Full time

Job summary

Advanced Micro Devices, Inc. seeks a Senior AI Software Architect for Autonomous Systems to design and optimize AI-driven software for real-time autonomous environments.

The role spans edge and cloud deployments, requiring deep expertise in AI frameworks, model analysis, and GPU-accelerated computing. Responsibilities include leading inference pipeline improvements, collaborating across teams, and implementing deployment strategies for high-performance autonomous systems using ROCm/CUDA,

Qualifications

• Experience designing AI solutions for autonomous applications.
• Strong background in model optimization and profiling.
• Proficiency with GPU-accelerated AI workloads and real-time performance.

Responsibilities

• Design and implement AI-driven software for autonomous systems.
• Optimize inference pipelines and model performance across edge and cloud.
• Provide technical leadership on AI software best practices.

Skills

PyTorch

TensorFlow

JAX

ONNX Runtime

CUDA

ROCm

GPU Memory Management

NVIDIA Nsight

TensorRT

ROS/ROS2

Real-time systems

Education

Bachelor's or Master's in Electrical Engineering, Computer Engineering, or Computer Science

Tools

TensorRT

NVIDIA Jetson

Job description

Senior AI Software Architect - Autonomous Systems

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 skilledSenior AI Software Engineerto 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.

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.