AMD

1 month ago

Senior AI Software Architect - Autonomous Systems

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 10 hours agoStatus: Live

Job Summary

Senior AI Software Architect to design and optimize AI-driven software for autonomous systems, focusing on AI frameworks, model analysis and optimization, GPU-accelerated computing, and real-time performance across edge and cloud deployments. Lead integration with ROS/ROS2, performance profiling, and deployment strategies, collaborating across teams to advance AI capabilities in autonomous environments.

Location: Austin

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Manager level

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.

Key Requirements

•Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, Computer Science, or a closely related field
•Proven experience with AI frameworks such as PyTorch, TensorFlow, JAX, or ONNX Runtime
•Deep expertise in ROCm or CUDA programming, GPU kernel optimization, and GPU memory management
•Experience deploying AI models within software stacks (ROS/ROS2, real-time systems, edge AI hardware such as NVIDIA Jetson)
•Strong problem-solving skills and ability to collaborate across cross-functional teams

Experience:AIAutonomous systemsGPU computingEdge AI

Education:Bachelor's

Skills:Problem-solvingCollaborationCommunication

Languages:English

Tech Stack:PyTorchTensorFlowJAXONNX RuntimeCUDAROCmNVIDIA NsightTensorRTTriton Inference ServerROSROS2JetsonPythonC++

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

AMD

Designs and produces semiconductor products including CPUs, GPUs, and adaptive SoCs for consumer, enterprise, and embedded markets, competing across PCs, data centers, and gaming industries.

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1969

Glassdoor: 3.9

Website LinkedIn

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AMD