AMD · 1 day ago
AI Models MAD - Model Automation and Dashboarding
Santa Clara, CA
Full-time
Onsite
Mid Level
$163K/yr - $245K/yrAMD is a company focused on building innovative products that accelerate computing experiences in various domains including AI and data centers. They are seeking a skilled software engineer for their Model Automation and Dashboarding team to ensure the reliability and performance of AI models on AMD hardware, involving automation of testing and development of benchmarking tools.
Embedded SoftwareArtificial Intelligence (AI)SemiconductorCloud ComputingElectronicsHardwareAI InfrastructureComputerEmbedded SystemsGPU
Responsibilities
Model Testing & Validation: Automate functional and performance testing of AI models across ROCm-supported hardware using scalable tools and pipelines
Software Engineering Excellence: Proficiency in Python and C++ with deep experience in performance tuning, debugging, and robust test design, ensuring reliable, maintainable, high-performance codebases
Benchmarking Infrastructure: Develop tools for continuous benchmarking and regression tracking across hardware generations and ROCm releases
Dashboard & Metrics Development: Build and maintain real-time dashboards that report relevant performance, accuracy, and reliability metrics for both internal and public users
Ecosystem Integration: Collaborate with teams like Deep Learning Models (DLM) and MADengine to support a wide range of models, including public and private/NDA workloads
Client Enablement: Ensure out-of-box confidence for ROCm clients by validating model performance and functionality in standardized and reproducible environments
Scalable Tooling: Contribute to the design of portable, easy-to-use Python interfaces that support multi-node profiling, distributed workloads, and containerized deployments
Open-Source Contributions: Support public-facing MAD GitHub repositories and Docker releases, enabling the community to run and validate models on ROCm
Qualification
Required
Strong technical expertise in Python and Linux-based systems
Passionate about quality assurance, benchmarking, and automation in the AI/ML space
Excellent problem-solving skills
Ownership in defining goals and delivering impactful solutions
Proficiency in Python and C++
Deep experience in performance tuning, debugging, and robust test design
Experience working with machine learning frameworks
Experience with performance dashboards or automation platforms
Experience in automating functional and performance testing of AI models
Experience in developing tools for continuous benchmarking and regression tracking
Experience in building and maintaining real-time dashboards
Experience in collaborating with teams to support a wide range of models
Experience in validating model performance and functionality
Experience in designing portable, easy-to-use Python interfaces
Experience in supporting public-facing GitHub repositories and Docker releases
Undergraduate and/or Master's Degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field
Preferred
Strong Python development skills
Experience in test automation, CI/CD, and Linux scripting
Familiarity with AI frameworks (e.g., PyTorch, TensorFlow)
Experience with profiling tools, system monitoring, or regression tracking systems for deep learning models
Solid experience in performance dashboards, visualization tools (e.g., Grafana, Plotly), and metrics collection pipelines
Proficiency with version control (GitHub), testing strategies, code reviews, and collaborative software development
Strong written and verbal communication skills
Proactive approach to defining and driving development efforts
Benefits
AMD benefits at a glance.
Company
AMD
Advanced Micro Devices is a semiconductor company that designs and develops graphics units, processors, and media solutions.
Founded in 1969
10001+ employees
H1B Sponsorship
AMD has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (836)
2024 (770)
2023 (551)
2022 (739)
2021 (519)
2020 (547)
Funding
Current Stage
Public CompanyTotal Funding
unknownKey Investors
OpenAIDaniel Loeb
2025-10-06Post Ipo Equity
2023-03-02Post Ipo Equity
2021-06-29Post Ipo Equity
Leadership Team
Lisa Su
Chair & CEO
Mark Papermaster
CTO and EVP
Recent News
2026-02-12
Tech Startups - Tech News, Tech Trends & Startup Funding
2026-02-12
Tech Startups - Tech News, Tech Trends & Startup Funding
2026-02-12
Company data provided by crunchbase