Description:

UneeQ is an artificial intelligence company focused on developing an advanced autonomous digital human platform for customer interactions.
The Senior Software Engineer role specializes in computer graphics systems development.
Responsibilities include developing rendering improvements for digital humans, investigating performance optimization opportunities, and integrating platform systems into the game engine.
The role involves researching and implementing the latest graphics techniques, supporting team members with debugging, and providing thought leadership in graphics elements.
The engineer will work with technical artists and animators to create scalable character creation pipelines and develop tools to support their work.
The position aims to enhance digital human experiences, reduce delivery costs, and establish UneeQ as a technology leader in the field.
The role does not have direct reports and reports to the Engineering Manager - Platform & AI.
Success is measured by stakeholder perception of team effectiveness and peer feedback.

Requirements:

Candidates must have at least 5 years of experience in the games industry or interactive real-time 3D graphics development.
Expert knowledge of C/C++ and Vulkan is required.
Experience with Unreal Engine 5 is necessary.
General C++ programming skills for integrating rendering systems with other platform services are essential.
Familiarity with Python or Golang is helpful.
Solid 3D math skills, including vectors and transformation matrices, are required.
Experience with CPU/GPU optimizations is necessary.
Candidates should be comfortable using metrics and data for performance analysis and decision-making.
Experience with build systems and streaming audio/video or WebRTC is advantageous.
Excellent problem-solving and debugging skills are required.
Knowledge of Docker, containerization, and AWS is a plus.
Some Linux experience is necessary.
Candidates should be aware of current trends and best practices in computer graphics.
Ability to break down complex tasks into manageable pieces is essential.
Experience with machine learning system integration is advantageous.
Candidates should have a professional attitude towards performance feedback and be open to receiving it.

Employees will engage in meaningful work that addresses significant challenges and has a positive impact.
The role offers the opportunity to work at the forefront of technology, pushing the boundaries of what is possible.
A learning allowance of $3000 per year is provided to support continuous development.
Employees will work with talented individuals in a supportive and enjoyable environment.
Flexible working arrangements are encouraged to promote a healthy work-life balance.
A competitive compensation package is offered, including market salaries and an employee share option scheme for ownership in the business.