Student Veterans of America Jobs

Welcome to SVA’s jobs portal, your one-stop shop for finding the most up to date source of employment opportunities. We have partnered with the National Labor Exchange to provide you this information. You may be looking for part-time employment to supplement your income while you are in school. You might be looking for an internship to add experience to your resume. And you may be completing your training ready to start a new career. This site has all of those types of jobs.

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Job Information

Intel GPU Compiler Engineer (f/m/d) in Munich, Germany

Job Description

We are looking for a GPU Compiler Engineer to join our team who is ready and eager to make significant impact on AI, Data center and Client Graphics via advanced compiler optimizations and novel architectural features. Design and develop state of the art compiler translations and optimizations targeting GPU. Investigate and prototype new optimizations to improve performance and efficiency for GPU systems. Collaborate with GPU HW architects to co-design/define new uArch features and ISA for future Intel. Perform measurements and workload analysis to evaluate and improve the compilation technology on new HW features. Write technical specification, design documents, and patent disclosures.

Qualifications

  • Master's degree in Computer Science or related STEM degree and 3+ years of relevant experience.

  • Ph.D. degree in Computer Science or related STEM degree and 1+ year(s) of relevant experience.

Minimum skills we are looking for:

  • C/C++ programming skills supported by work experience on industry projects using these languages.

  • Knowledge of LLVM compiler internals and/or GPU/CPU compiler technology supported by professional experience in the domain.

  • Knowledge of development tools and practices according to industry standards

Preferred Skills and Experience that will make you stand out:

  • Experience in development of compiler optimization (middle-end) or backend parts.

  • Experience in performance analysis and tuning of compiler transformations and optimizations.

  • Experience in GPGPU architecture and programming model.

  • Knowledge of GPU Compute APIs e.g. OpenCL, OneAPI, CUDA.

  • Experience in development of workloads (HPC, AI) for heterogeneous architectures

Inside this Business Group

The Client Computing Group (CCG) is responsible for driving business strategy and product development for Intel's PC products and platforms, spanning form factors such as notebooks, desktops, 2 in 1s, all in ones. Working with our partners across the industry, we intend to deliver purposeful computing experiences that unlock people's potential - allowing each person use our products to focus, create and connect in ways that matter most to them. As the largest business unit at Intel, CCG is investing more heavily in the PC, ramping its capabilities even more aggressively, and designing the PC experience even more deliberately, including delivering a predictable cadence of leadership products. As a result, we are able to fuel innovation across Intel, providing an important source of IP and scale, as well as help the company deliver on its purpose of enriching the lives of every person on earth.

Posting Statement

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Benefits

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here. (https://jobs.intel.com/en/benefits)

Working Model

This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. In certain circumstances the work model may change to accommodate business needs.

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