Research Scientist
Santa Clara (Santa Clara County) IT development
Job description
Job Description
Initiates the design, development, execution and implementation of scientific research projects to fuel Intel's growth in the areas of computing, communication, technology and manufacturing and new business opportunity. Investigates the feasibility of applying scientific principles and concepts to potential inventions and products typically 7+ years prior to landing on a product roadmap. Plans and executes laboratory research. Maintains substantial knowledge of state of the art principles and theories, and contributes to scientific literature and conferences. May participate in development of intellectual property. May coordinate interdepartmental activities and research efforts. Typically holds a PhD.
Inside this Business Group
The Core and Visual Computing Group (CVCG) is responsible for the architecture, design and development of the CPU core and visual technology IPs that are central to Intel's system-on-a-chip (SoC) products and key to our datacenter, client and Internet-of-Things (IOT) platforms. CVCG strives to lead the industry through continuous innovation and world class engineering.
Posting Statement.Intel prohibits discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.
Desired profile
Qualifications
Minimum Qualifications:
- Candidate must posses a PhD in CS, CE, EE, Physics, Math or related field.
Minimum 1 year of experience in the following:
- Software development in C++ with graphics shading languages and/or GPU compute languages e.g. OpenGL or DirectX11/12
- Ability to comprehend and analyze rendering literature
- Experience developing advanced graphics algorithms such as: raster graphics, ray traced based graphics, global illumination, depth of field, motion blur, acceleration structures, etc.
Preferred Qualifications:
- Background in designing task-, data-, and pipeline parallel algorithms and systems - Experience creating real-time rendering effects using programmable shaders
- Familiarity with serial and parallel programming environments used in real-time rendering such as C, C++, TBB, CUDA or OpenCL
- Knowledge of GPU architecture and/or GPU workloads and performance characteristics
- Experience with performance analysis including using low-level tools like profilers for identifying performance issues
- Background in writing publications and/or presenting at conferences or other events