Perception Engineer: Infrastructure

AutoX is a global leader in self-driving car technology, driven by our mission to "Democratize Autonomy" and accelerate the advent of fully driverless cars. Our cutting-edge self-driving cars are designed to tackle the most complex and dynamic traffic environments, from bustling city streets to ever-changing urban landscapes. In 2020, we became the second company to secure a fully driverless passenger vehicle permit in California — a key milestone in autonomy. With a world-class team of engineers and R&D centers across the U.S. and beyond, AutoX continues to innovate.

Join us to shape the future! Work with brilliant minds on technology transforming automotive industry and make a lasting impact.

We’re seeking talented and self-motivated software engineers to join our perception team.

We provide a competitive compensation package, opportunities for professional growth, participation in a discretionary equity incentive plan, and access to a comprehensive company benefits program, subject to eligibility requirements.

Locations:

• San Jose, California, US (Salary Range: $75k—$400k USD)
• Barcelona, Catalonia, Spain
• Singapore
• Dubai, UAE

Responsibilities:

• Responsible for performance analysis and optimization of the autonomous driving perception system's onboard modules, ensuring stable system operation.
• Participate in the localization and analysis of issues encountered during road testing of the autonomous driving perception system, and assist in resolving various problems during the testing phase.
• Participate in cross-platform porting of the autonomous driving perception system, ensuring efficient, stable, and reliable operation of the perception pipeline across different platforms.
• Responsible for the development and maintenance of internal self-developed profiling tools, continuously optimizing and enhancing the overall performance of the perception scheduling framework.
• Collaborate closely with surrounding teams (such as multi-sensor, data simulation, etc.) to improve the reliable integration, adaptation, and functional interface of multi-sensor data.

Qualifications:

• Bachelor’s degree or above in Computer Science, Software Engineering, or a related field, with more than three years of experience in autonomous driving or related industries.
• Familiar with the Linux development environment, proficient in C/C++ and Python, with extensive experience in system development and design.
• Familiar with one or more open-source autonomous driving frameworks, such as Apollo or Autoware, with relevant development experience.
• Proficient in using performance tuning tools (e.g., perf, valgrind) and understanding the principles behind these tools.
• Familiar with GPU architecture and CUDA programming, with experience in performance optimization of CUDA code based on Nsight.
• Strong communication and coordination skills, capable of effectively organizing and coordinating surrounding teams to advance and implement solutions.

Preferred Qualifications:

• A deep understanding of the overall architecture of autonomous driving systems, with familiarity in the basic principles of perception systems.
• Familiar with Nvidia Xavier/Orin chip architecture, with related software project development experience.
• Basic knowledge of AI model training, deployment, and inference processes.

How to Apply:

• Send an email with your resume to careers@autox.ai with Job ID: 89

AutoX is an equal employment opportunity employer, committed to maintaining a supportive and inclusive workplace for all employees. AutoX does not discriminate against, and prohibits harassment of, any applicant or employee based on race, color, sex, sexual orientation, gender identity, religion, national origin, age, disability, military status, genetic information or any other basis protected by applicable law in the respected countries.