Hybrid Staff Machine Learning Engineer - Inference bei XPENG
XPENG · Santa Clara, Vereinigte Staaten Von Amerika · Hybrid
- Professional
- Optionales Büro in Santa Clara
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 Staff Machine Learning Engineer - Inference, with deep knowledge of ML inference and strong enthusiasm towards optimize our models to utilize every FLOP and every byte of RAM of our AI accelerator hardware.
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 models which will enable the next-generation solution of autonomous driving.
Job Responsibilities:
- Optimization of models towards deployment on customized AI accelerators
- Write kernels for customized AI accelerators
- Develop performance estimates for critical kernels
Minimum Skill Requirements:
- Master in CS/CE/EE, or equivalent, in industry experience
- Strong code skill in C/C++ and Python
- Experience with CUDA programming or related AI accelerator programming.
- Experience with enabling accuracy machine learning modeling inference using low precision data formats
- Familiarity with the fundamentals of deep learning
- Have strong engineering skills to unblock yourself and are willing to pick up whatever knowledge you are missing to get the job done
Preferred Skill Requirements:
- Have an understanding of ML architecture and an intuition for how to reduce model latency
- Familiarity with GPU architecture or custom silicon chip architecture
- Experience training deep learning models
- A track record of efficiently solving complex problems collaboratively on larger teams of ML engineers, compiler engineers, kernel writers etc.
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
The base salary range for this full-time position is $179,400 - $303,600, 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.
