XPeng Motors

We design, develop, manufactures and market smart EVs that are seamlessly integrated with advanced Internet, AI and autonomous driving technologies.. You will research and develop state of the art core CV/ML algorithms for ego-localization and static environment modeling and tracking using transformer based BEV nets and occupancy tracking.. Your work will ensure that we deliver the most reliable mass market autonomous driving solution.. Job Responsibilities:Research and develop algorithms for ego pose tracking and static environment tracking using semantic features from cameras, lidar, inertial and other sensors.. Skill Requirements:Masters or Ph. D in EE, CS or related field with 5 years of experience, or Masters with 8 years full time work experience in algorithms designSolid background in computer vision, image processing, 3D geometry, estimation, non-linear optimizationProficient in developing in C

algorithm engineer

<p>XPeng Motors is one of China’s leading smart electric vehicle (“EV”) company. We design, develop, manufactures and market smart EVs that are seamlessly integrated with advanced Internet, AI and autonomous driving technologies. We are committed to in-house R&D and intelligent manufacturing to create a better mobility experience for our customers. We strive to transform smart electric vehicles with technology and data, shaping the mobility experience of the future.We seek algorithms engineers with strong system design skills. In this role, you will contribute to a map-less self-driving product for driving / parking in urban environments. You will research and develop state of the art core CV/ML algorithms for ego-localization and static environment modeling and tracking using transformer based BEV nets and occupancy tracking. The solutions are actively deployed in multiple car models. Software design and code quality are very important in this role.You will work with cross functional research and development teams in a rapidly paced environment. Your work will ensure that we deliver the most reliable mass market autonomous driving solution.Job Responsibilities:Research and develop algorithms for ego pose tracking and static environment tracking using semantic features from cameras, lidar, inertial and other sensors.Collaborate with AI model team to build 3D perception pipeline.Work closely with cross functional team for rapid execution on target platforms.Skill Requirements:Masters or Ph.D in EE, CS or related field with 5 years of experience, or Masters with 8 years full time work experience in algorithms designSolid background in computer vision, image processing, 3D geometry, estimation, non-linear optimizationProficient in developing in C++Hands on experience in one of the following: visual odometry, camera calibration, 3D reconstruction, mapsStrong mathematical foundationWhat do we provide:A fun, supportive and engaging environmentOpportunity to make significant impact on transportation revolution by the means of advancing autonomous drivingOpportunity to work on cutting edge technologies with the top talent in the fieldCompetitive compensation packageSnacks, lunches, dinners and fun activitiesThe base salary range for this full-time position is $220,000-$370,000, 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.</p>

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