Senior Staff Machine Learning Compiler Engineer

XPENG; Santa Clara (CA); On-site; USD 244,000 - 414,000; Full time

Job summary

A leading smart technology company is seeking a Senior Staff Machine Learning Compiler Engineer to join their innovative team. The ideal candidate will develop state-of-the-art machine learning compiler infrastructure for autonomous driving applications, focusing on optimizing models for general-purpose GPUs. This role offers a competitive compensation package and an opportunity to work on cutting-edge technologies with top talent in the industry.

Benefits

Supportive and engaging work environment

Opportunities to work on cutting-edge technologies

Competitive compensation package

Snacks, lunches, dinners, and fun activities

Qualifications

• 5-7+ years of industry experience required.
• Experience in the autonomous driving industry preferred.
• Familiarity with GPU, CPU, NPU, DSP architectures desired.

Responsibilities

• Development of machine learning compilers for GPU execution.
• Frontend and backend optimization techniques.
• Testing and profiling of deployed compiler models.

Skills

Development of machine learning compilers

Heterogeneous memory management

Computational graph optimization

Collaboration on larger teams

Education

PhD in CS/CE/EE

Tools

CUDA

PyTorch

Job description

Senior Staff Machine Learning Compiler Engineer

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Senior Staff Machine Learning Compiler Engineer

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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.
• 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.

Preferred Skill Requirements:

• Previous experience in the autonomous driving industry.
• 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.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Industries

  Motor Vehicle Manufacturing

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Inferred from the description for this job

401(k)

Vision insurance

Medical insurance

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