GPU Research Engineer, Cambridge, UK

  • Publication date
  • Closing date
  • Level of education

2023

Until filled

Bachelor’s/ Master’s

Where you will be working

Cambridge, located in the East of England, 50 miles north of London, is a unique and beautiful city, renowned for its world-class university and the thriving cluster of high technology businesses that have grown up around it.  Cambridge is well served by road and rail links, and is within easy distance of the major London airports

About Us

At our Cambridge site we are focused on pioneering IoT and automotive technologies, with engineering areas of excellence including, Analogue and Digital Design, Voice and Music (Hardware, Software, OEM Support, Innovation).

Cambridge is our largest office in the UK, with more than 600 team members including engineers, business strategists and support staff.

Equal Opportunities & Equal Pay

We are an Equal Opportunity employer; all qualified applicants will receive consideration for employment without regard to race, colour, religion, sexual orientation, gender identity, national origin, disability, veteran status, or any protected classification.

Giving Back

Employees in Cambridge have a strong sense of community. We are encouraged through the philanthropic endeavours of the Qualcomm Foundation to support causes that matter to us.

 

About us

Roles & responsibilities

What’s on Offer

Apart from working in an open, relaxed and collaborative space, you will enjoy:

  • Salary, stock and performance related bonus
  • Working from home options / Flexible working hours
  • Maternity/Paternity Leave
  • Employee stock purchase scheme
  • Matching pension scheme
  • Education Assistance
  • Relocation and immigration support
  • Life, Medical, Income and Travel Insurance
  • Subsidised gym membership
  • Bicycle purchase scheme
  • Employee run clubs, including, running, football, chess, badminton + many more

 

Help research, prototype, and commercialize novel ideas to enhance 3D Graphics, Ray Tracing, GPGPU computing, and machine learning on Adreno GPUs. Develop and analyze algorithms, software and hardware implementations. Participate in industry-wide standardization activities.

Minimum Qualifications

Bachelor degree in Engineering, Computer Science, or related field.

5+ years Systems Engineering or related work experience

Preferred Qualifications

Experience with GPU HW and/or SW and/or applications using OpenCL, CUDA, OptiX, Vulkan or Metal. Knowledge of 3D graphics concepts and APIs.

Master Degree

Strong C++ programming skills

*References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.

 

Requirements

We offer

If you are an individual with a disability and need an accommodation during the application/hiring process, please call Qualcomm’s toll-free number found here for assistance. Qualcomm will provide reasonable accommodations, upon request, to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. Qualcomm is an equal opportunity employer and supports workforce diversity.