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Currently hiring for 13 jobs
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Machine Learning Engineer
WeRide.ai
San Jose, CA
WeRide is a smart mobility start-up whose mission is to transform mobility with autonomous driving. We are committed to build better transportation experience that’s safe, efficient, affordable and joyful. We have an elite team of entrepreneurs and technologists who share the same passion and pursue continuous excellence in their work.   

WeRide.ai is looking for a machine learning engineer for the prediction team. In this impactful role, you will collaborate with a best-in-class team of engineers to tackle hard problems and help advance mobility solutions to improve everyday lives.

What you will do:

    • Active learning and Bayesian optimization 
    • Anomaly detection 
    • Deep networks 
    • Distributed/parallel learning algorithms 
    • Learning control 
    • Predictive modeling 

Requirements:

    • PhD in Electrical Engineering, Computer Science/Engineering or a related field. 
    • 3 or more years of relevant work or lab experience in Machine Learning, Deep Learning or High-Performance Computing 
    • Excellent knowledge of theory and practice of machine learning. 
    • Excellent programming skills in some rapid prototyping environment such as MATLAB or Python; C++ and parallel programming (e.g., CUDA) is a plus. 
    • Knowledge of common machine learning frameworks. 
    • Track record of research excellence or significant product development. 
    • Knowledge of application areas such as computer vision or robotics 

Plus:

    • Strong understanding of recent advancements in machine learning research 
Salary Range: Your base pay is one part of your total compensation package. For this position, the reasonably expected pay range is between $130,000 - $182,000 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.

WeRide.ai offers competitive salary depending on the experience. Employee benefits include:
Premium Medical, Dental and Vision Plan (No cost from employees or their families)
Free Daily Breakfast, Lunch and Dinner
Paid vacations and holidays
401K plan


Full-time
Mid Level
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Perception Engineer – ML/CV and Algorithms
WeRide.ai
San Jose, CA
WeRide is a smart mobility start-up whose mission is to transform mobility with autonomous driving. We are committed to build better transportation experience that’s safe, efficient, affordable and joyful. We have an elite team of entrepreneurs and technologists who share the same passion and pursue continuous excellence in their work.   

WeRide.ai Silicon Valley team is looking for Perception engineer to implement the next generation automotive vision and machine learning algorithms. 

What you will do:

    • Research and develop efficient deep learning models that detect obstacles around the ego-car
    • Research and develop algorithms and models to understand the obstacles (e.g., car-door-open) and complex scenes (e.g., traffic light, construction zone, human directing traffic)
    • Research and develop algorithms and models to tackle long tail obstacles and scenes (e.g., potholes, trash bags, falling leaves, extreme weather, etc)
    • Research and develop algorithms and models to track obstacles and predict their locations, velocities, accelerations, orientations, shapes, etc
    • Research and develop algorithms and models to accurately calibrate the sensors and further efficiently verify the correctness of the calibration
    • Write onboard code to integrate the algorithms and models into perception computational graph and deploy it to cars

Requirements:

    • Have strong abilities in both algorithms and C++ coding; or have strong expertise in at least one of these fields: computer vision, machine learning, and model optimization
    • Solid skills in problem solving, algorithms, and data analysis
    • Good communication and coordination skills
    • Self-motivated and believe in the future of self-driving-cars

Plus:

    • Rich experience in C++ development, multithreading, memory management, computing optimization 
    • Rich experience in multi-sensor fusion and 3d/2d tracking
    • Publications on top-tier conferences and journals 
Salary Range: Your base pay is one part of your total compensation package. For this position, the reasonably expected pay range is between $130,000 - $182,000 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.

WeRide.ai offers competitive salary depending on the experience. Employee benefits include:
Premium Medical, Dental and Vision Plan (No cost from employees or their families)
Free Daily Breakfast, Lunch and Dinner
Paid vacations and holidays
401K plan


Full-time
Mid Level
Computer Vision
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General Software Engineer
WeRide.ai
San Jose, CA
WeRide is a smart mobility start-up whose mission is to transform mobility with autonomous driving. We are committed to build better transportation experience that’s safe, efficient, affordable and joyful. We have an elite team of entrepreneurs and technologists who share the same passion and pursue continuous excellence in their work.   

WeRide.ai is looking for world class coders to work on transforming mobility by solving some of the most challenging AI and robotics problems. You will work with world-class experts in the field of mobility solutions and advance the state of the art in areas such as computer vision, sensor fusion, machine learning, object tracking, and motion planning.

Requirements:

    • BS/MS/PhD degree in Robotics, Computer Science, Electrical Engineering or equivalent practical experience.
    • Experience in data structures and advanced algorithms
    • Experience programming in C++

Plus:

    • Experience with field robotics and systems design
    • Experience with robust, safety-critical, efficient code.
    • Experience in hands-on robotics research and expertise in one or more of the following: computer vision, LIDAR, object tracking, sensor fusion, perception, machine learning, motion planning, and control
Salary Range: Your base pay is one part of your total compensation package. For this position, the reasonably expected pay range is between $130,000 - $182,000 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.

WeRide.ai offers competitive salary depending on the experience. Employee benefits include:
Premium Medical, Dental and Vision Plan (No cost from employees or their families)
Free Daily Breakfast, Lunch and Dinner
Paid vacations and holidays
401K plan


Full-time
Mid Level
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Motion Planning Engineer
WeRide.ai
San Jose, CA
WeRide is a smart mobility start-up whose mission is to transform mobility with autonomous driving. We are committed to build better transportation experience that’s safe, efficient, affordable and joyful. We have an elite team of entrepreneurs and technologists who share the same passion and pursue continuous excellence in their work.   

WeRide.ai Silicon Valley team is looking for Motion Planning Engineers who enjoy having their software make critical decisions rather than just “process” or “display” data. We need people unafraid of crafting motion planning systems to make great decisions, every time, in all conditions.

What you will do:

    • Building/Integrating software and algorithms for path planning, behavioral planning and vehicle control
    • Developing/Implementing/Evaluating/Launching algorithms in Robotic motion planning (e.g., A*, CC-RRT), vehicle modeling and kinematics

Requirements:

    • BS/MS/PhD degree in a relevant field of study (e.g., Computer Science, Computer Engineering)
    • Skilled in numerical optimization techniques (e.g., nonlinear constrained optimization) or skilled in AI or Robotics
    • Proven ability to produce computationally efficient software that can meet real-time requirements
    • 3+ years experience in motion planning, AI, or autonomy for real-world applications

Plus:

    • Hands-on experience in robotic and/or vehicle system design and implementation
    • Knowledge of ROS
    • Knowledge of Linux, and development on Linux systems
    • Experience working in an automotive, aerospace, environments
    • Experience in writing safety-critical code
    • SLAM / Probabilistic Filtering experience
    • Experience in doing reinforcement learning
    • Experience with real-time sensor fusion (e.g. IMU, lidar, camera, odometry, radar)
Salary Range: Your base pay is one part of your total compensation package. For this position, the reasonably expected pay range is between $130,000 - $182,000 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.

WeRide.ai offers competitive salary depending on the experience. Employee benefits include:
Premium Medical, Dental and Vision Plan (No cost from employees or their families)
Free Daily Breakfast, Lunch and Dinner
Paid vacations and holidays
401K plan


Full-time
Mid Level
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Software Engineer - Mapping & Localization
WeRide.ai
San Jose, CA
WeRide is a smart mobility start-up whose mission is to transform mobility with autonomous driving. We are committed to build better transportation experience that’s safe, efficient, affordable and joyful. We have an elite team of entrepreneurs and technologists who share the same passion and pursue continuous excellence in their work.   

WeRide.ai Silicon Valley team is looking for outstanding Software Engineers to lead our visual mapping and localization efforts. We're looking for an engineer with an advanced degree and experience building mapping and localization systems that work with real data in uncertain environments.
You will be responsible for:
Build state-of-the art mapping pipelines that combine data from a wide variety of sensors, as well as localization algorithms that make use of these maps in realtime.

Requirements:

    • 3 years of professional experience (industrial experience is a plus)
    • Familiar with state of the art theory for visual SLAM and place recognition
    • Highly skilled in probabilistic filtering theory, computer vision and inertial pose theory
    • Fluent in C++. Python skills are a plus
    • Proven track record in implementing computationally expensive algorithm in commodity hardware
    • Prior experience in any of pose estimation, probabilistic filtering, SLAM, nonlinear optimization
    • Comfortable building in undefined and fast paced environments
    • Experience in self driving technologies is a plus

Plus:

    • Knowledge of Linux, and development on Linux systems
    • Knowledge of ROS
    • Experience working in an automotive, aerospace environments
    • Previous experience with robotic or vehicle systems
    • Development experience with embedded systems with real-time constraints
    • Experience with realtime sensor fusion (e.g. IMU, lidar, camera, odometry, radar)
Salary Range: Your base pay is one part of your total compensation package. For this position, the reasonably expected pay range is between $130,000 - $182,000 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.

WeRide.ai offers competitive salary depending on the experience. Employee benefits include:
Premium Medical, Dental and Vision Plan (No cost from employees or their families)
Free Daily Breakfast, Lunch and Dinner
Paid vacations and holidays
401K plan


Full-time
Mid Level
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Site Reliability Engineer
WeRide.ai
San Jose, CA
WeRide is a smart mobility start-up whose mission is to transform mobility with autonomous driving. We are committed to build better transportation experience that’s safe, efficient, affordable and joyful. We have an elite team of entrepreneurs and technologists who share the same passion and pursue continuous excellence in their work.   

What you will do:

    • Architect, develop and support mission-critical systems that facilitate the engineering process
    • Build tools and processes to automate engineering operation and troubleshooting.
    • Implement and improve Continuous Integration and Continuous Deployment processes.
    • Design and deploy services to monitor and support internal infrastructure.
    • Maintain production cloud clusters (AWS and on-premise).
    • Lead, maintain and enhance security of the technology stack.
    • Be the first to research and adapt new technologies and best practices to ensure high quality of the engineering process.

Requirements:

    • Bachelor's degree in Computer Science or equivalent experience,
    • 3+ years of experience in DevOps, SRE or similar roles.
    • Proficiency in Linux OS and administration, including networking.
    • Knowledge of CI products such as TeamCity, Jenkins or similar.
    • Experience working with cloud providers such as AWS, Azure, GCP.
    • Good understanding of containerization and virtualization technologies, such as Docker and Kubernetes.
$143,000 - $197,437.50 a year
Salary Range: Your base pay is one part of your total compensation package. For this position, the reasonably expected pay range is between $143,000.00 - $197,437.50 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.
WeRide.ai offers competitive salary depending on the experience. Employee benefits include:
Premium Medical, Dental and Vision Plan (No cost from employees or their families)
Free Daily Breakfast, Lunch and Dinner
Paid vacations and holidays
401K plan


Full-time
Mid Level
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Machine Learning Engineer - Singapore
WeRide.ai
One-north
WeRide (Singapore) is the SEA HQ of Weride. Founded in the silicon valley of US in 2017, WeRide is a smart mobility start-up whose mission is to transform mobility with autonomous driving. We are committed to build better transportation experience that’s safe, efficient, affordable and joyful. We have an elite team of entrepreneurs and technologists who share the same passion and pursue continuous excellence in their work.


WeRide (Singapore) is looking for a machine learning engineer for the prediction team. In this impactful role, you will collaborate with a best-in-class team of engineers to tackle hard problems and help advance mobility solutions to improve everyday lives.


What you will do

    • Active learning and Bayesian optimization
    • Anomaly detection
    • Deep networks
    • Distributed/parallel learning algorithms
    • Learning control
    • Predictive modeling

Requirements:

    • PhD in Electrical Engineering, Computer Science/Engineering or a related field.
    • 3 or more years of relevant work or lab experience in Machine Learning, Deep Learning or High-Performance Computing
    • Excellent knowledge of theory and practice of machine learning.
    • Excellent programming skills in some rapid prototyping environment such as MATLAB or Python; C++ and parallel programming (e.g., CUDA) is a plus.
    • Knowledge of common machine learning frameworks.
    • Track record of research excellence or significant product development.
    • Knowledge of application areas such as computer vision or robotic

Plus

    • Strong understanding of recent advancements in machine learning research
WeRide (Singapore) offers competitive salary and excellent employee benefits. Our office is located in the One-north area, a 5min walk from the one-north MRT station. If interested, please send your resume/CV to alex.mah@weride.ai.

More about WeRide:
Website: https://www.weride.ai/
Youtube: https://www.youtube.com/@WeRideAI
LinkedIn: https://www.linkedin.com/company/werideai
Twitter: https://twitter.com/weride_ai

Full-time
Mid Level
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Vehicle Embedded Control Engineer
WeRide.ai
San Jose, CA
WeRide is a smart mobility start-up whose mission is to transform mobility with autonomous driving. We are committed to build better transportation experience that’s safe, efficient, affordable and joyful. We have an elite team of entrepreneurs and technologists who share the same passion and pursue continuous excellence in their work.   

What you will do:

    • Develop drive-by-wire functions and software with redundancy and diagnosis.
    • Collaborate with OEM and suppliers/component manufacturers to develop control systems architectures, including software, model and simulation development.
    • Perform electrical and software integration and introduction of drive-by-wire systems on new autonomous vehicles platforms.
    • Ensure reliable vehicle operation of drive-by-wire actuators in all modes of operation across various vehicle platforms.
    • Troubleshoot, triage and provide diagnostic support for field issues related to the vehicle control system

Requirements:

    • Previous experience working closely with mechanical, electrical, and software teams on vehicle or robotic systems. 4+ years with BS, 2+ years with MS.
    • Demonstrated experience in/with MATLAB Simulink and C/C++ experience
    • Knowledge of automotive electrical architectures, control system design and Model Based Systems Engineering (MBSE).
    • Good understanding and working experience with automotive communication protocols such as CAN and CAN-FD.
    • Able to read and understand basic electronic schematics.

Plus:

    • Familiar with ROS or other Robotics Middleware.
    • Experience working with EVs and/or Autonomous Vehicles.
    • Experience with common automotive instrumentation and calibration tools for ECUs, such as CANape, PCAN, CANalyzer, CANoe, etc.
Salary Range: Your base pay is one part of your total compensation package. For this position, the reasonably expected pay range is between $120,000 - 186,000 USD for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.

WeRide.ai offers competitive salary depending on the experience. Employee benefits include:
Premium Medical, Dental and Vision Plan (No cost from employees or their families)
Free Daily Breakfast, Lunch and Dinner
Paid vacations and holidays
401K plan
Full-time
Mid Level
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Senior Software Engineer - Cloud Infrastructure
WeRide.ai
San Jose, CA
WeRide is a smart mobility start-up whose mission is to transform mobility with autonomous driving. We are committed to build better transportation experience that’s safe, efficient, affordable and joyful. We have an elite team of entrepreneurs and technologists who share the same passion and pursue continuous excellence in their work.   

WeRide.ai is looking for a Software Engineer to build powerful and efficient world-leading cloud infra platforms for autonomous driving, inlcuding PaaS platforms, such as Big Data, AI, Simulation, and IaaS platforms, such as K8s, storage services.

What you will do:

    • Architect and develop scalable and reliable "continuous evaluation platform" (CEP) to serve the whole company to meet our growing business needs.
    • Architect and develop simulation ability of platform as the simulation algorithm evolves.
    • Discover and resolve performance bottlenecks to improve the efficiency of platform continuously.
    • Build profiling tools to allow engineers to efficiently identify system bottlenecks.
    • Build monitoring and introspection tools to allow engineers to quickly introspect a system.

Requirements:

    • BS, MS, PhD in Computer Science / Engineering, Statistics or other equivalent fields
    • 3+ year experience of developing scalable, distributed, compute-intensive services and ETLs on AWS or other cloud platforms.
    • 3+ year experience of cloud-native software architect and development
    • Proficiency in C++, Python, Go, Scala, or Java.
    • Familiar with Kubernetes, Linux, Docker, LXC, Micro services.
Salary Range: Your base pay is one part of your total compensation package. For this position, the reasonably expected pay range is between $143,000 - $197,437.50 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.

WeRide.ai offers competitive salary depending on the experience. Employee benefits include:
Premium Medical, Dental and Vision Plan (No cost from employees or their families)
Free Daily Breakfast, Lunch and Dinner
Paid vacations and holidays
401K plan
Full-time
Senior
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Production Engineer Leader
WeRide.ai
San Jose, CA
WeRide is a smart mobility start-up whose mission is to transform mobility with autonomous driving. We are committed to build better transportation experience that’s safe, efficient, affordable and joyful. We have an elite team of entrepreneurs and technologists who share the same passion and pursue continuous excellence in their work.   

We are seeking a highly motivated and experienced Production Engineer Leader/Technical Product Manager to join our team at Weride. As a Production Engineer Leader, you will work closely with engineering teams, operation teams to bring better autonomous driving experience to customers.

Responsibilities:

    • Lead the production engineering team to oversee the resolution of a broad range of hardware, software, operational, and system-level issues that may impact individual vehicles or the entire fleet
    • Develop autonomous vehicle functions that align with customer requirements and expectations
    • Work with engineering teams and operation teams to ensure efficient testing and iteration of the autonomous driving system
    • Collaborate with cross-functional teams to develop and execute production schedules and delivery plans
    • Ensure compliance with safety and regulatory requirements

Requirements:

    • Autonomous vehicle knowledge and experience
    • BS in EE/CS or closely related field (or additional equivalent experience)
    • Strong leadership skills with the ability to motivate and manage a team
    • Previously identified missing or inefficient processes, improved and implemented them
    • Excellent problem-solving and analytical skills
    • Strong communication and interpersonal skills
$135,937.50 - $168,750 a year
Salary range: Your base pay is one part of your total compensation package. For this position, the reasonably expected pay range is between $135,937.50 - $168,750.00 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.
WeRide.ai offers competitive salary depending on the experience. Employee benefits include:
Premium Medical, Dental and Vision Plan (No cost from employees or their families)
Free Daily Breakfast, Lunch and Dinner
Paid vacations and holidays
401K plan
Full-time
Senior
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Software Engineer - Onboard Infrastructure
WeRide.ai
San Jose, CA
WeRide is a smart mobility start-up whose mission is to transform mobility with autonomous driving. We are committed to build better transportation experience that’s safe, efficient, affordable and joyful. We have an elite team of entrepreneurs and technologists who share the same passion and pursue continuous excellence in their work.   

WeRide.ai is looking for a Senior Software Engineer to join our Onboard Infrastructure team and help building the next generation of the autonomous driving platform.

What you will do:

    • Design, implement and optimize existing and next-generation features of the on-board software stack.
    • Develop and extend frameworks to scale the technology across various hardware and software configurations of our vehicle fleet.
    • Build tools and automation pipelines to ensure constant monitoring of the vehicle system, as well as real-time data reporting and analysis.
    • Work across teams to facilitate high performance and reliability of the autonomous driving software components: robotic perception, motion planning, localization, and other.

Requirements:

    • Bachelor's or higher degree in Computer Science or an equivalent field.
    • 3+ years of professional experience, including 1+ years of using C++ in production environment. Knowledge and hands-on experience with modern C++(11, 14).
    • Proven track record of owning and delivering software components, from initial design to shipping the final product.
    • Experience in developing and deploying multi-threaded software on and for Linux OS, familiarity with debugging tools like gdb and perf.
    • Solid knowledge and hands-on experience in systems software domains such as: Operating systems, Compilers, Database internals, Distributed systems, etc. 
Salary Range: Your base pay is one part of your total compensation package. For this position, the reasonably expected pay range is between $130,000 - $182,000 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.

WeRide.ai offers competitive salary depending on the experience. Employee benefits include:
Premium Medical, Dental and Vision Plan (No cost from employees or their families)
Free Daily Breakfast, Lunch and Dinner
Paid vacations and holidays
401K plan
Full-time
Mid Level
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Software Engineer - New Grads 2024
WeRide.ai
San Jose, CA
WeRide is a smart mobility start-up whose mission is to transform mobility with autonomous driving. We are committed to build better transportation experience that’s safe, efficient, affordable and joyful. We have an elite team of entrepreneurs and technologists who share the same passion and pursue continuous excellence in their work.   

WeRide.ai is looking for high potential students to work on transforming mobility by solving some of the most challenging AI and robotics problems. You will work with world-class experts in the field of mobility solutions and advance the state of the art in areas such as computer vision, motion planning, SLAM and simulation.


Requirements:

    • BS/MS/PhD degree in Robotics, Computer Science, Computer Vision, Machine Learning or equivalent practical experience.
    • Experience in data structures and advanced algorithms
    • Experience programming in C++/Python

Plus:

    • Experience with field robotics and systems design
    • Experience with robust, safety-critical, efficient code.
    • Experience in hands-on robotics research and expertise in one or more of the following: computer vision, LIDAR, object tracking, sensor fusion, perception, machine learning, motion planning, and control
Salary Range: Your base pay is one part of your total compensation package. For this position, the reasonably expected pay range is between $120,000 - $165,000 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.

WeRide.ai offers competitive salary depending on the experience. Employee benefits include:
Premium Medical, Dental and Vision Plan (No cost from employees or their families)
Free Daily Breakfast, Lunch and Dinner
Paid vacations and holidays
401K plan
Full-time
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Software Engineer Intern,Spring/Summer 2024
WeRide.ai
San Jose, CA
WeRide is a smart mobility start-up whose mission is to transform mobility with autonomous driving. We are committed to build better transportation experience that’s safe, efficient, affordable and joyful. We have an elite team of entrepreneurs and technologists who share the same passion and pursue continuous excellence in their work.   

In our internship program, you will:
Join one of our teams, such as Perception, Planning and Control, Mapping and Localization, Infrastructure
Be expected to be an equal contributor on teams of world-class engineers to develop and implement software for our next version of autonomous driving solution
Learn various technical skills through different projects
Experience in 1-on-1 mentorship and training

Requirements:

    • BS/MS/PhD degree in Robotics, Computer Science or other related majors.
    • Has related research experience, or internship 
    • Strong coding skill in C++ or python
    • Graduating in Dec 2024 or before is preferred
    • Pay: $45-70/hr
WeRide.ai offers competitive salary depending on the experience. Employee benefits include:
Premium Medical, Dental and Vision Plan (No cost from employees or their families)
Free Daily Breakfast, Lunch and Dinner
Paid vacations and holidays
401K plan
Internship