Rendering Algorithm Researcher

microTECH Global Limited; United Kingdom; On-site; GBP 40,000 - 65,000; Full time

Job summary

A leading company is seeking a talented Rendering Algorithm Researcher to join their Graphics team in Cambridge. This role offers the opportunity to work on cutting-edge graphics algorithms and contribute to next-generation rendering technologies. Ideal candidates will possess strong knowledge in graphics APIs and experience in collaborative project settings.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field.
• Strong understanding of graphics algorithms and game rendering workflows.
• Hands-on experience with graphics APIs such as OpenGL, Metal, Vulkan.

Responsibilities

• Collaborate with cross-functional teams to develop and integrate rendering algorithms for mobile platforms.
• Design and implement optimisation solutions at the GPU subsystem and SoC levels.

Skills

Graphics algorithms

Game rendering workflows

Computer graphics knowledge

Rendering techniques

Education

Bachelor’s or Master’s degree in Computer Science

Bachelor’s or Master’s degree in Electrical Engineering

Related field

Tools

OpenGL

Metal

Vulkan

Job description

Rendering Algorithm Researcher
Location: Cambridge

Our client is seeking a talented Rendering Algorithm Researcher to join their Graphics team in Cambridge. This role offers the opportunity to work on cutting-edge graphics algorithms and contribute to next-generation rendering technologies.

Skills & Qualifications:
Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field.
Strong understanding of graphics algorithms and game rendering workflows.
In-depth knowledge of computer graphics and rendering techniques.
Hands-on experience with graphics APIs such as OpenGL, Metal, Vulkan, etc.

Responsibilities:
Collaborate with cross-functional teams to develop and integrate rendering algorithms for mobile platforms.
Design and implement optimisation solutions at the GPU subsystem and SoC levels to enhance performance and efficiency.