Senior Machine Learning Performance Engineer

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

Job summary

An established industry player is seeking a Senior Machine Learning Performance Engineer to join their innovative team. In this exciting role, you will collaborate with talented engineers and scientists to advance autonomous driving technologies. Your expertise in C++ and Python will be crucial as you design and optimize software systems for deploying large deep learning models in production vehicles. This is a unique opportunity to work on cutting-edge projects that will significantly impact the future of transportation. If you are passionate about AI and making a difference in the automotive industry, this role is perfect for you.

Benefits

Fun and supportive environment

Computational resources

Opportunity to work on cutting-edge technologies

Competitive compensation package

Snacks, lunches, dinners, and fun activities

Qualifications

• Master or PhD in CS/CE/EE with 0-3 years of experience, open to recent graduates.
• Strong expertise in C++ and Python with a solid understanding of computer architecture.

Responsibilities

• Design and optimize onboard software systems for deep learning models in production vehicles.
• Push the boundaries of performance, power efficiency, and latency.

Skills

C++

Python

Computer Architecture

High-Performance Computing

Application Performance Analysis

CUDA

Nvidia TensorRT

Education

Master in Computer Science

PhD in Computer Science

Job description

Senior Machine Learning Performance Engineer

Join to apply for the Senior Machine Learning Performance Engineer role at XPENG.

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.
• 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 a significant impact on the transportation revolution by 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, marital status, or any other prescribed category set forth in federal or state regulations.

Seniority level

• Entry level

Employment type

• Full-time

Job function

• Motor Vehicle Manufacturing