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Research Scientist Intern – Graphics, ML
Intel Corporation. Conduct cutting-edge research in real-time 3D rendering, machine learning, and highly parallel algorithms .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in real-time 3D rendering, machine learning, and advanced graphics techniques, with a strong foundation in modern programming languages and graphics APIs. Engages in collaborative research to innovate and apply cutting-edge technologies in graphics and AI.
Highest-signal resume keywords
PhD In Computer ScienceModern C/C++ ProgrammingMachine Learning FrameworksAdvanced Graphics TechniquesGraphics APIs
ATS Keywords
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Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine Learning ConceptsPython ProgrammingRasterizationRay TracingPhysically Based RenderingLight TransportMonte Carlo MethodsGPGPU ProgrammingCUDAOpenCL
Soft Skills
Excellent Communication SkillsPassion For Graphics Research
Tools & Technologies
PyTorchOpenGLVulkanDirectXGLSLHLSL
Industry Keywords
Real-Time 3D RenderingParallel AlgorithmsGraphics HardwareResearch Publications
Tech Stack
Tools & technologiesPythonPyTorchRayC++
About the role
Key responsibilities & impact- Conduct cutting-edge research in real-time 3D rendering, machine learning, and highly parallel algorithms
- Collaborate with industry-leading researchers to develop innovative graphics and AI techniques
- Contribute to Intel graphics hardware and software products
- Advance the state of the art through research publications
- Apply research to technologies impacting users worldwide
Requirements
What you’ll need- Currently pursuing a PhD in Computer Science, Electrical Engineering, or a related field focused on computer graphics and machine learning
- At least 1 year of academic, research, or industry experience
- Modern C/C++ and Python programming
- Machine learning concepts, algorithms, and frameworks such as PyTorch
- Advanced graphics techniques including rasterization, ray tracing, physically based rendering, light transport, sampling strategies, acceleration structures, level of detail, shading, appearance modeling, and Monte Carlo methods
- Graphics APIs such as OpenGL, Vulkan, or DirectX, and/or shading languages including GLSL and HLSL
- GPGPU programming technologies such as CUDA, SYCL, or OpenCL
- Excellent communication skills
- Passion for graphics research and eagerness to explore new ideas
Benefits
Comp & perks- Competitive pay
- Stock bonuses
- Health benefits
- Retirement benefits
- Vacation