GPU AI Architect Manager
Athens,GRC
Applied Materials
We work closely with our customers as strategic partners in ten countries across Europe. Facilitating progress through long-term relationships, and delivering the expertise, technology and services that bring their ideas and innovations to...Location : Athens or Patras, Greece
Who are we ?
Applied Materials is the leader in materials engineering solutions to produce virtually every new chip and advanced display in the world. Our expertise in modifying materials at atomic levels and on an industrial scale enables customers to transform possibilities into reality. Our innovations make possible™ the technology shaping the future. To achieve this, we employ some of the best, brightest, and most talented people in the world who work together as part of a winning team.
In April 2020, Applied Materials acquired Think Silicon®, a semiconductor technology portfolio company based in Greece. Think Silicon develops and licenses high-performance, ultra-low power Graphics Processing Units (GPU’s) and display controller technology for wearables, IoT, home appliances etc. Think Silicon's ambition is to become the leading low-power mobile graphics company in the world!
Based on our current growth we are now looking to expand our team! We are currently looking for a GPU AI Architect Manager to join our team.
We offer a very generous re-location package to help you move/return to Greece.
The candidate will benefit from the new foreign tax residence incentive, granting an income tax exemption of 50%.
General Profile:
Think Silicon Company is seeking a highly skilled and experienced GPU AI Architect Manager to join our R&D team. The ideal candidate will have a strong background in GPU architecture, AI Accelerators, system-on-chip (SoC) design, and leadership. As a GPU Architect Manager, you will be responsible for designing and developing cutting-edge GPU and AI IP technologies that will be integral to our products.
You will work cross-functionally to define compute, memory, and power requirements for these Graphics and AI use cases to help guide the hardware and software implementation decisions for future generations of devices. Once defined, you will follow through to ensure proper implementation of these use cases to ensure our product deployment.
Key Responsibilities:
Lead the GPU architecture team in designing innovative GPU and AI solutions providing technical leadership and mentorship to team members.
Work in synergy with interdisciplinary teams overseeing Hardware and Software to guarantee seamless system integration, while also partnering with a University Research team engaged in pioneering research
Conduct research and development for next-generation GPU technologies. Stay abreast of industry trends and advancements in GPU and AI architectures.
Drive the development of GPU performance models building functional and performance models, in C/ C++, along with test plans to validate the features of the design.
You will be driving architectural, and plan features in concert with software, hardware, and verification teams to implement the next generation of embedded GPUs and AI Processor.
You will analyze workloads for new Graphics and AI features and analyze their behavior and performance.
.
Required Skills:
We expect a candidate to have the following skills:
BA/BS or higher degree in Microcomputer Engineering or equivalent experience required.
Design or Applications background on GPU, CPU, DSP
10+ years of knowledge of CPU/GPU/DSP/NPU design in any of the following subjects: Memory System, embedded CPU, Custom ISA
Knowledge of AI and Compute API's (Tensorflow, OpenCL, CUDA, Vulkan) is highly useful.
Creation of System Models using High Level System Description Languages (C/C++ or HLS)
Linux environment, shell programming, revision control systems and scripting (bash/tcshell, TCL, Perl, Python)
Preferred Skills:
Experience in Graphics, AI or CPU Processor designs is a big plus
Experience with SystemC
Working Experience:
10+ Years
Why choose Applied Materials?
When you work at Applied Materials / Think Silicon, in addition to a competitive salary, you have access to a wide range of benefits, including:
Financial & Savings benefits,
Health & Wellness,
Paid time-off,
Insurance & Income Protections
Medical plan,
Meal Allowance
Development & Training opportunities.
Qualifications
Education:
Bachelor's Degree, Master's DegreeSkills:
Certifications:
Languages:
Years of Experience:
10 - 15 YearsWork Experience:
Additional Information
Time Type:
Full timeEmployee Type:
Assignee / RegularTravel:
Yes, 10% of the TimeRelocation Eligible:
NoApplied Materials is an Equal Opportunity Employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs Architecture CUDA Engineering GPU Industrial Linux Perl Python R R&D Research TensorFlow Vulkan
Perks/benefits: Competitive pay Health care Insurance Relocation support Startup environment Wellness
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Data Science Manager jobs
- Open Research Scientist jobs
- Open Junior Data Analyst jobs
- Open Business Data Analyst jobs
- Open Data Scientist II jobs
- Open Sr Data Engineer jobs
- Open Principal Data Scientist jobs
- Open BI Analyst jobs
- Open Business Intelligence Engineer jobs
- Open Data Science Intern jobs
- Open Senior Business Intelligence Analyst jobs
- Open Sr. Data Scientist jobs
- Open Lead Data Analyst jobs
- Open Azure Data Engineer jobs
- Open Software Engineer, Machine Learning jobs
- Open Junior Data Scientist jobs
- Open MLOps Engineer jobs
- Open Manager, Data Engineering jobs
- Open Data Analytics Engineer jobs
- Open Marketing Data Analyst jobs
- Open Data Engineer III jobs
- Open Junior Data Engineer jobs
- Open Data Engineering Manager jobs
- Open Product Data Analyst jobs
- Open Data Analyst II jobs
- Open Data quality-related jobs
- Open GCP-related jobs
- Open Tableau-related jobs
- Open Excel-related jobs
- Open ML models-related jobs
- Open Data pipelines-related jobs
- Open APIs-related jobs
- Open PhD-related jobs
- Open PyTorch-related jobs
- Open Finance-related jobs
- Open LLMs-related jobs
- Open TensorFlow-related jobs
- Open Deep Learning-related jobs
- Open Data visualization-related jobs
- Open Consulting-related jobs
- Open Generative AI-related jobs
- Open Business Intelligence-related jobs
- Open Data governance-related jobs
- Open CI/CD-related jobs
- Open NLP-related jobs
- Open DevOps-related jobs
- Open Kubernetes-related jobs
- Open Git-related jobs
- Open Docker-related jobs
- Open Snowflake-related jobs