AMD

Software Development Engineer 1

Munich, Germany
R Machine Learning C++ API Python
Description
WHAT YOU DO AT AMD CHANGES EVERYTHING We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives. AMD together we advance_ WORKING STUDENT LOCATION: Munich, Germany OVERVIEW: The Architecture and Software Technologies team at AMD is seeking a working student to join us for a one-year engagement. Our mission is to research, prototype and architect cutting-edge solutions for GPU graphics and compute. We are at the forefront of hardware and software development, focusing on fully integrated solutions that span from software to the hardware. We are looking for a motivated individual to contribute to our projects! The successful candidate will collaborate closely with AMD architects across multiple teams and play a direct role in developing future hardware and new GPU programming models. KEY RESPONSIBILITIES: Support AMD’s R&D activities in partnership with a German university, focussing on image processing, machine learning and GPU programming models. Contribute to the development and support of internal and external tools, infrastructure, and libraries. Assist in understanding and characterizing hardware behavior and performance. SPECIFIC JOB FUNCTIONS: Design, develop, and maintain software tools and libraries. Conduct experiments, analyze results, and document findings. Operate within an environment that includes code reviews and defined release processes. Translate internal and external feedback into actionable feature requests and implement them. Communicate findings and insights to other AMD teams and the collaborating university. SKILLS AND EXPERIENCE REQUIREMENTS: Currently pursuing a Master's degree in computer science or related fields. Proficiency in C/C++ programming languages. Familiarity with Linux operating systems. Experience with software debugging tools. Strong verbal and written communication skills. Solid understanding of PC architecture. Experience with a modern graphics API (Direct3D 12, Vulkan) is advantageous. Familiarity with Python is a plus. #LI-HS3 #LI-HYBRID Benefits offered are described: AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

WORKING STUDENT LOCATION: Munich, Germany OVERVIEW: The Architecture and Software Technologies team at AMD is seeking a working student to join us for a one-year engagement. Our mission is to research, prototype and architect cutting-edge solutions for GPU graphics and compute. We are at the forefront of hardware and software development, focusing on fully integrated solutions that span from software to the hardware. We are looking for a motivated individual to contribute to our projects! The successful candidate will collaborate closely with AMD architects across multiple teams and play a direct role in developing future hardware and new GPU programming models. KEY RESPONSIBILITIES: Support AMD’s R&D activities in partnership with a German university, focussing on image processing, machine learning and GPU programming models. Contribute to the development and support of internal and external tools, infrastructure, and libraries. Assist in understanding and characterizing hardware behavior and performance. SPECIFIC JOB FUNCTIONS: Design, develop, and maintain software tools and libraries. Conduct experiments, analyze results, and document findings. Operate within an environment that includes code reviews and defined release processes. Translate internal and external feedback into actionable feature requests and implement them. Communicate findings and insights to other AMD teams and the collaborating university. SKILLS AND EXPERIENCE REQUIREMENTS: Currently pursuing a Master's degree in computer science or related fields. Proficiency in C/C++ programming languages. Familiarity with Linux operating systems. Experience with software debugging tools. Strong verbal and written communication skills. Solid understanding of PC architecture. Experience with a modern graphics API (Direct3D 12, Vulkan) is advantageous. Familiarity with Python is a plus. #LI-HS3 #LI-HYBRID

Benefits offered are described: AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

Tags: No, EUR €41,370.00/Yr., EUR €59,100.00/Yr., Global Careers (do not use for US or Canada)
AMD
AMD
Cloud Computing Computer Embedded Systems GPU Hardware Semiconductor

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