Staff Machine Learning Performance Engineer

Up Closets of Charleston; Santa Clara (CA); On-site; USD 215,000 - 365,000; Full time

Job summary

An innovative company is seeking a Staff Machine Learning Performance Engineer to join a dynamic team dedicated to advancing autonomous driving technologies. In this role, you will design and optimize software systems for deploying large deep learning models in vehicles, ensuring top performance and efficiency. You will collaborate with talented engineers and scientists to tackle complex challenges in the field of intelligent mobility. This position offers a competitive compensation package and the opportunity to work on cutting-edge technologies that will reshape the future of transportation. If you are passionate about AI and want to make a significant impact, this is the perfect opportunity for you.

Benefits

Fun, supportive environment

Infrastructures and computational resources

Opportunity to work on cutting-edge technologies

Competitive compensation package

Snacks, lunches, dinners, and fun activities

Qualifications

• 3-5 years of industry experience in machine learning or related fields.
• Strong expertise in C++ and Python programming.

Responsibilities

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

Skills

C++

Python

Application performance analysis

Problem-solving

Education

Master or PhD in Computer Science/Computer Engineering/Electrical Engineering

Tools

CUDA

Nvidia TensorRT

Job description

Staff Machine Learning Performance Engineer

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:

1. 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:

1. Master or PhD in CS/CE/EE, or equivalent, with 3-5 years of industry experience.
2. Strong expertise in C++ and Python.
3. In-depth understanding of computer architecture and high-performance computing.
4. Proven experience in application performance analysis and optimization.

Preferred Skill Requirements:

1. Experienced with CUDA kernels and Nvidia TensorRT.
2. Previous experience in the autonomous driving or robotics industry.
3. Being efficient in solving complex problems collaboratively on larger teams.

What do we provide:

1. A fun, supportive and engaging environment.
2. Infrastructures and computational resources to support your work.
3. Opportunity to work on cutting edge technologies with the top talents in the field.
4. Opportunity to make significant impact on the transportation revolution by the means of advancing autonomous driving.
5. Competitive compensation package.
6. Snacks, lunches, dinners, and fun activities.

The base salary range for this full-time position is $215,280-$364,320, 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.

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