Research Scientist Intern - Graphics Ml jobs at Intel in Germany

Job Description:

Intern position in the field of ESD (ElectroStatic Discharge) characterization.

As needed, simulations will be carried out to support the measurement data and to get a full understanding of the physical behavior of the structures.

The TLP system will also be used to exercise the capability of packaged ICs to handle system level ESD stress (SEED characterization), providing a guidance for system integration.

Qualifications:

Minimum Qualifications:

• MS or BS degree in EE or physics
• Basic understanding of ESD effects, protection design, and measurement techniques
• Fluency in English required

Preferred Qualifications:

• Expertise in using simulation tools (SPICE, TCAD)
• Experimental skills for electrical measurements

Student / InternShift 1 (Germany)Germany, Munich

Job Description:

: Work with the latest technologies in a state-of-the-art lab.
: Gain valuable experience and enhance your technical skills.

Key Responsibilities

• Characterization of Digital Reference Circuits : Work with wafer, bare dies, and packaged samples to assess active/passive power, performance, and reliability indicators.
• Sample Handling and Measurement Execution : Utilizeprober/tester/characterizationsetups to conduct precise measurements.
• Optimization of Characterization Capabilities : Improve and streamline characterization routines and processes.
• Lab Support : Assist in the preparation and execution of ramp-up of lab setups with reference measurements.

Qualifications:

Minimum Qualifications:

• Education : Currently enrolled in an engineering program (Physics, Electronics, Mechatronics, or similar) in the 4th semester or higher.
• Lab Experience : Hands-on experience with lab equipment such as oscilloscopes and power supplies.
• Technical Knowledge : Basic understanding of experimental electrical measurement setups, CMOS, solid-state semiconductor physics, and circuitry.
• Programming Skills : Familiarity with programming languages such as Python or C.
• Team Collaboration : Strong collaboration skills within an engineering team.
• Learning Enthusiasm : A strong desire to learn and grow in a technical environment.
• Language Proficiency : Proficiency in English (spoken and written); German is a plus.

Student / InternShift 1 (Germany)Germany, Munich

What You'll Do • Research and prototype AI-driven solutions for EDA challenges. • Apply advanced AI techniques, including creating agentic AI flows, to develop autonomous and intelligent solutions for complex silicon design challenges. • Collaborate with global teams to integrate AI/ML models into production workflows.Minimum qualifications are required to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.Minimum Qualifications: • Currently pursuing a Master's degree OR PhD in Electrical Engineering, Computer Engineering, Computer Science or any related field. • Solid understanding of AI/ML fundamentals and algorithms. • Strong programming skills in Python (preferred), with familiarity in Unix/Linux. • Good understanding of software engineering principles (data structures, object-oriented design). • Excellent communication skills and fluency in English.Preferred Qualifications: • Knowledge of ASIC design flows, Physical Design, and Design Automation. • Practical experience applying Machine Learning in EDA or related domains. • Familiarity with Agentic AI concepts and ability to design autonomous flows. • Strong foundation in VLSI Design. • Good code development practices and ability to write clean, maintainable code.Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and orStudent / InternShift 1 (Germany)Germany, Munich

Job Description:

This position is available as full time or part time.

Your area of responsibility:
We offer a Master student position for developing RTL automation environments to help our products to choose the right embedded memory strategy for fast and accurate integration.

The responsibilities will include but are not limited to:

• Ideate, plan, develop and run automated RTL test environments
• Compare and rate test coverage and test results
• Define test strategies to increase RTL code quality based on latest AI technology and algorithms
• Present results and best solutions to the internal memory team

Qualifications:

• An excellent background in RTL (preferably system verilog and UVM)
• AI and test strategy experience

Education and Experience

• Degree (BS) in electrical engineering, software engineering, mathematics or equivalent experience
• Proven experience in HDL language
• experience in AI and software development
• Know-how on modern Software tools like python, perl, java, vscode
• Pursuing highest quality standards
• Excellent communication, fluent in English
• Demonstrated proficient documentations skills
• Must be able to work on multiple tasks concurrently.

Experience with Windows 11, Office 365 and UNIX/LINUX systems is required

Student / InternShift 1 (Germany)Germany, Munich

Job Description:

In this role:

You will contribute to the success of the software projects running in the lab.

You will be building and implementing tests and demos involving the latest and upcoming hardware and software stacks.

You will be participating in the configuration, testing, analyzing, tuning, and debugging of software and hardware components for maximum performance.

You will also take responsibility in profiling and benchmarking CV and AI components and solutions on different hardware configurations.

With sufficient skills, experience, and aspiration you will be able to participate in new software development projects.

Qualifications:

Hardware skills:

• Personal Computer and/or Server building experience
• PC hardware handing
• Firmware flashing
• Computer hardware debugging experience

Software skills:

• Installation and customizing OS to hardware needs (Linux or Windows)
• Knowledge about software, drivers, and firmware handling.
• Shell scripting
• Good understanding of computer networks and network protocols
• Basic knowledge of Databases
• Basic understanding of Active directory domain services
• Basic familiarity with Web stacks, MEAN or LAMP
• Good verbal and written English skills

A strong plus will be working experience with:

• Docker or other containerization technologies
• Python or C/C++ programing
• Experience in AI and GenAI software development- Remote access
• KVM, remote access protocols
• Industrial controls knowledge
• Experience in OpenCL, CUDA or other GPU programming languages and methodologies
• Working experience with software revision systems like git or subversion

This role requires good verbal and written communication skills in English.

The position involves working in an IT lab environment; the ability to move equipment around is necessary.

Student / InternShift 1 (Germany)Germany, Munich

This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.

Qualifications:

You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.

Minimum qualifications:

• Bachelor's degree in Computer Science, Computer Engineering or Electrical Engineering or Physics or Mathematics or other related field with 6+ years of software development experience
• Or Master's degree in Computer Science, Computer Engineering or Electrical Engineering or Physics or Mathematics or other related field with 4+ years of software development experience
• Or PhD in Computer Science, Computer Engineering or Electrical Engineering or Physics or Mathematics or other related field with 2+ years software development experience.

2+ years of experience with software following:

• Developing AI models leveraging modern model architectures and approaches dealing with 3D Graphics and/or Visual Computing domains.
• Building custom AI training datasets and performing AI model training.
• Strong knowledge and practical experience with PyTorch.
• Solid Python programming skills.
• Knowledge of broad range of AI algorithms and principles.
• Realtime or physical-based 3D Graphics rendering.
• Optimizing Deep Learning inference algorithms for GPU architectures.
• Advanced Python and GPU programming (CUDA, OpenCL, DPC++)

Preferred Qualifications:

• Deep knowledge of GPU or Deep Learning Accelerator architectures.
• Digital signal processing expertise.

Experienced HireShift 1 (Germany)Virtual Germany

This role is available as a fully home-based and generally would require you to attend Intel sites only occasionally based on business need. However, you must live and work from the country specified in the job posting, in which Intel has a legal presence. Due to legal regulations, remote work from any other country is unfortunately not permitted. * Job posting details (such as work model, location or time type) are subject to change.

You must possess the below minimum education requirements and minimum required qualifications to be initially considered for this position. Relevant experience can be obtained through schoolwork, classes, project work, internships, and/or military experience. Additional preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.
Minimum Qualifications:

• Currently pursuing a Master's or PhD in Computer Science, Electrical Engineering, or a STEM-related with an emphasis on computer graphics and machine learning (ML).

• At least 1+ year of experience in the following areas: Modern C/C++ and Python programming.

• Broad range of AI algorithms, principles, and ML frameworks such as PyTorch. Developing advanced graphics algorithms, including raster graphics, ray tracing, physically based light transport, and more.

• Graphics APIs (e.g., OpenGL, Vulkan, DirectX), shading languages (e.g., GLSL, HLSL), and/or GPGPU (CUDA, SYCL, OpenCL).

Preferred Qualifications:

• Pursuing a PhD degree. Publications in top-tier computer graphics conferences and/or journals.

• Mathematical background, including linear algebra, numerical optimization, and probabilistic estimation.

• Relevant research or software engineering experience, including internships, coding competitions, or contributions in open-source repositories (e.g. GitHub).

• Experience with sampling strategies or ML based sampling techniques Experience applying machine learning techniques to graphics.

• Knowledge of GPU architecture and performance characteristics. Experience using profilers and debugging tools for performance analysis.

Student / InternShift 1 (Germany)Virtual Germany