Senior AI Software Engineer - Autonomous Systems
Hybrid (San Jose, CA)$200.8k - $301.2kFull-timePosted 4w ago
About the role
Senior AI Software Engineer to design and implement AI-driven software for autonomous systems, with expertise in AI frameworks, model optimization, GPU-accelerated computing, and real-time performance in edge and cloud environments.
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.
Qualifications
- Bachelor’s or Master’s in Electrical Engineer, Computer Engineering, Computer Science, or a closely related field
Skills
Required:AI Frameworks (PyTorch, TensorFlow, JAX, ONNX Runtime)AI Model Analysis & OptimizationROCm, CUDA & GPU ComputingSystem Performance AnalysisAutonomous SystemsProblem-SolvingCollaboration & Communication
Benefits
- Benefits offered are described: AMD benefits at a glance
Last updated Oct 8, 2026. Interested? Apply on the company site.
About AMD
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