Perception Engineer: Object Modeling

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—$350k USD)
• Barcelona, Catalonia, Spain
• Singapore
• Dubai, UAE

Responsibilities:

• Post-process outputs from multiple deep learning networks across diverse sensors (e.g., LiDAR, cameras, radar) to model both dynamic and static objects.
• Track dynamic objects and estimate their kinematic states (e.g., velocity, acceleration, trajectory).
• Design algorithms and metrics to quantitatively evaluate the perception system’s effectiveness (e.g., precision, recall, latency).
• Optimize system performance through iterative improvements based on real-world road test feedback.

Qualifications:

• Strong foundation in data structures, algorithms, and kinematics/computer vision principles.
• Proficiency in C++ programming for real-time systems.
• Expertise in at least one of the following domains:
  • Point Cloud Perception: Expertise in 3D point cloud processing, including clustering, denoising, registration, object detection, and semantic segmentation.
  • Machine Learning: Familiarity with classical algorithms (e.g., Linear Regression, Boosting, Bagging, PCA) and their theoretical underpinnings. Hands-on experience with popular machine learning libraries.
  • Performance Optimization: Hands-on experience with CPU/GPU acceleration (SIMD, multithreading, CUDA/OpenCL) and high-performance computing for large-scale data.
  • Graphics/Computational Geometry: Experience with computational geometry algorithms (e.g., mesh processing, convex hulls) or 3D graphics optimization techniques.
  • Post-Processing: Expertise in multi-object tracking (MOT), sensor fusion, motion modeling, and uncertainty estimation for perception systems.
  • SLAM: Familiarity with visual/LiDAR SLAM pipelines (e.g., feature matching, bundle adjustment) and optimization frameworks (e.g., nonlinear least squares, Kalman/particle filters).

How to Apply:

• Send an email with your resume to careers@autox.ai with Job ID: 93

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.