Senior Machine Learning Performance Engineer

XPENG Deutschland; Santa Clara (CA); On-site; USD 174,000 - 296,000; Full time

Job summary

An innovative company is seeking a Senior Machine Learning Performance Engineer to join their talented team. This role focuses on optimizing onboard software systems for deep learning models in production vehicles, pushing the boundaries of performance and efficiency. You'll collaborate with experts in AI and autonomous driving, contributing to groundbreaking technologies that reshape transportation. The position offers a competitive salary, a supportive work environment, and the chance to make a significant impact in the field of intelligent mobility. If you're passionate about advancing autonomous driving, this opportunity is for you.

Benefits

Competitive compensation package

Snacks, lunches, dinners, and fun activities

Supportive and engaging environment

Access to infrastructures and computational resources

Qualifications

• Master or PhD in CS/CE/EE or equivalent required.
• Strong expertise in C++ and Python programming languages.

Responsibilities

• Design and optimize onboard software systems for large deep learning models.
• Enhance performance, power efficiency, and latency in production vehicles.

Skills

C++

Python

Computer Architecture

High-Performance Computing

Application Performance Analysis

Education

Master or PhD in CS/CE/EE

Tools

CUDA

Nvidia TensorRT

Job description

Senior Machine Learning Performance Engineer

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Senior Machine Learning Performance 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.

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 E2E solution of autonomous driving.

Job Responsibilities

• Design and optimize onboard software systems to enable the deployment of large deep learning models in production vehicles, pushing the boundaries of performance, power efficiency, and latency.
  
  

Minimum Skill Requirements

• Master or PhD in CS/CE/EE, or equivalent, with 0-3 years of industry experience. Open to recent graduates.
• Strong expertise in C++ and Python.
• In-depth understanding of computer architecture and high-performance computing.
• Proven experience in application performance analysis and optimization.
  
  

Preferred Skill Requirements

• Experienced with CUDA kernels and Nvidia TensorRT
• Previous experience in the autonomous driving or robotics industry.
• Being efficiently in 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 $174,720 - $295,680, 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

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Motor Vehicle Manufacturing

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