Previous Job
GPU compiler test engineer
Ref No.: 18-19051
Location: San Diego, California
Our company is the largest provider of mobile SoC (system on chip) solutions. Adreno GPU has been the industry leading mobile graphics solution and has been the dominating GPU in todays smart phone market. Our power efficient GPU solution is fundamental to enable the new exciting markets like VR, IoT, AI, drone, autonomous driving etc. GPU compiler is a key component of our graphics solution. We are looking for talented engineers to create world class GPU compiler products to enable high performance graphics and compute with low power consumption. This position involves testing and QA of graphics optimizing compiler, which supports variety of GPU programming APIs including OpenGL ES, Vulkan, D3D, OpenCL and RenderScript. Test engineers will be required to work closely with the compiler developers, graphics driver and graphics hardware core teams.
Minimum Qualifications:
- Good hands on experience of Software Releases, Integration and configuration management process/tools (Git, Gerrit, make, JIRA, Perforce, etc.) - Good hands on experience of test methodology and test processes, including requirements collection and test plan development - Automated testing and verification techniques and - Hands on with Scripting language [Perl/Python/Ruby] - Good communicator at multiple levels and across multiple disciplines. Team Player, able to provide input into a multifunctional team. - Familiarity with Windows environment (development, user) - Self-motivated, capable of working with limited supervision, pro-actively reporting on status and tasks - Adaptable. The role requires a willingness to take on tasks outside of a narrowly defined role, and ideally a desire to be multi-skilled.
Preferred Qualifications:
- Hands on debugging experience [on-target, simulation model] - Hands on programming experience [C/C++]
Required: Bachelor's, Computer Engineering and/or Computer Science and/or Electrical Engineering or equivalent experience Preferred: Master's, Computer Engineering and/or Computer Science and/or Electrical Engineering or equivalent experience