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Develop and optimize machine learning compilers for autonomous driving models on general purpose GPUs, enhancing performance and efficiency.
XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and robotics. With a strong focus on intelligent mobility, XPENG is dedicated to reshaping the future of transportation through cutting-edge R&D in AI, machine learning, and smart connectivity.
We are looking for a full-time Machine Learning Compiler Engineer, with deep knowledge and strong enthusiasm towards establishing a state-of-art machine learning compiler infrastructure to enable the deployment of advance self-driving models on general puprose GPUs.
Our mission is to solve the autonomous driving problem. You will work with a team of talented software engineers, machine learning engineers and research scientists to push the boundary of state-of-art machine learning compiler which will enable the next-generation E2E solution of autonomous driving.
Job Responsibilities:
- Development of machine learning compilers to enable machine learning model to execute on general purpose GPU.
- Clang/MLIR/LLVM compiler tool chain development, including c/c++,assembler, linker.
- Various frontend optimization, including various computational graph optimization.
- Various backend optimization, including via heterogeneous memory management, tiling, and parallelization.
- Testing and profiling of compiler deployed models.
Minimum Skill Requirements:
- PhD in CS/CE/EE, or equivalent, with 5-7 + years of industry experience.
- Excellent C/C++ development capability.
Preferred Skill Requirements:
- Previous experience in the autonomous driving industry.
- Development experience using Multi-Level IR Compiler Framework
- Familiarity with CUDA and PyTorch.
- Familiarity with GPU CPU, NPU, DSP architecture.
- A track record of efficiently solving complex problems collaboratively on larger teams
What do we provide:
- A fun, supportive and engaging environment
- Infrastructures and computational resources to support your work.
- Opportunity to work on cutting edge technologies with the top talents in the field.
- Opportunity to make significant impact on the transportation revolution by the means of advancing autonomous driving
- Competitive compensation package
- Snacks, lunches, dinners, and fun activities
The base salary range for this full-time position is $244,140-$413,160, in addition to bonus, equity and benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
We are an Equal Opportunity Employer. It is our policy to provide equal employment opportunities to all qualified persons without regard to race, age, color, sex, sexual orientation, religion, national origin, disability, veteran status or marital status or any other prescribed category set forth in federal or state regulations.
Top Skills
C++
Clang
Cuda
Llvm
Mlir
PyTorch
XPeng Motors Palo Alto, California, USA Office
Palo Alto, CA, United States, 94301
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