北京招聘

职位描述/工作职责 :

1. 设计开发NVIDIA自动驾驶软件平台，Kernel剪裁/移植、Driver实现及扩展、系统集成、性能优化等。

2. 为自动驾驶软件平台设计核心互联网服务。

3. 设计优化自动驾驶深度学习核心代码及关键网络，分析实现关键深度学习算法及应用程序。

4. 分析复杂技术问题，与其他团队合作实现并优化自动驾驶平台相关的性能、稳定性和安全性问题。

5. 保障自动驾驶平台软件可靠性，包括RADAR，LiDAR，Camera sensor processing等。

6. 您将能接触到最前沿的自动驾驶研究课题，如智能决策，深度学习，轨迹规划跟踪等。

任职要求:

1. 计算机，电子工程，自动化或相关专业本科及以上学历

2. 精通C/C++或Python，如同时熟悉Java更佳

3. 具备优秀的软件设计、问题解决能力和调试技能。

4. 拥有在跨国、跨时区公司中有效工作和沟通的能力。

5. 具备强烈的学习意愿和创新解决问题的能力，善于自我激励。

6. 以下项目经验者优先：Linux/QNX，深度学习，移动机器人，计算机视觉，内核开发

The Automotive Vehicles Platform team is searching for engineers to develop and bring NVIDIA's autonomous vehicle platform out to the world. You will participate in a focused effort to develop and productize ground-breaking solutions that will revolutionize the world of transportation and the growing field of self-driving cars. You will work with talented and dedicated multi-functional engineering development teams across various subsystems to integrate their work into our autonomous driving DRIVE SW platform, while achieving or exceeding all relevant NVIDIA and automotive standards & guidelines. You'll find the work is exciting, fun, and meaningful challenging.

What You'll Be Doing

1. Design and implement Automotive Vehicles software platforms, including kernel modifications/extensions, driver implementation/enhancement, system integration, performance optimization.

2. Design core internet services for NVIDIA's autonomous vehicle platform.

3. Deploy and optimize automotive driving Deep Neural Network generation infrastructure from top to bottom.

4. Drive the reliability of the software platform which includes RADAR, LiDAR, Camera sensor processing and fusion.

5. Analyze complex technical issues and independently drive resolution across multiple teams.

6. Work in an environment which involves Hypervisor, Linux, QNX RTOS.

What We Need To See

1. BS/MS in EE/CS or closely related field.

2. Excellent in one of programming languages: C/C++ , Python.

3. Excellent software design, problem solving and debugging skills.

4. Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment.

5. A strong desire to learn and build innovative solutions, be Self-motivated.

 

Ways To Stand Out From The Crowd

1. Strong interest in the following areas: Autonomous Vehicles, Robotics, Self-Driving-Cars, Deep Learning, Kernel development.

2. Experience with Machine Learning, DNN or other Artificial Intelligence paradigms.

3. Experience in Linux kernel, low level system software experience.

4. In-depth knowledge of Web services technology (esp. MySQL, Spring, RESTful) is a plus.

5. Master of software debugging tools: software debuggers, analyzers, trace loggers.

6. We believe that realizing self-driving cars will be a defining contribution of our generation (e.g. traffic accidents are responsible for ~1.25 million deaths per year world-wide). We have the funding and scale, but we need your help on our team.

NVIDIA—AI计算公司中的领导者
我们定义了现代计算机图形
我们拥有世界第 一大游戏平台GEFORCE
我们助力世界上运行速度最快的超级计算机
1999年，从行业第 一个图形处理单元（GPU）GeForce 256开始，我们始终深耕技术，寻求创新和突破。最新的NVIDIA A100 GPU更是搭载全球***的7纳米处理器NVIDIA Ampere GPU架构问世，实现了迄今为止***的GPU性能飞跃。
这是每一位NVIDIA工程师的匠人之心。
我们从图形计算起航，拥抱AI和加速计算的浪潮，为当代达·芬奇和爱因斯坦打造专属计算机，帮助他们看见并创造未来。
这是NVIDIA工程师团队开辟的创新之路。
我们看到超级计算的适用范围正在迅速扩展，未来全球信息经济的重心将从服务器转移到新型的强大且灵活的数据中心。以数据中心为计算单元的新时代已经来临。
我们感知到身边越来越多的事物可以是智能的、云连接的，并且基于一个可以为几乎每个行业构建富有想象力的服务的平台。万物智能的变革已经开始。
我们已经开始加速从芯片到CPU和GPU的连接方式，更希望与你一起将其推及至整个软件堆栈，最终实现跨数据中心的性能提升。
加入我们！让我们一起推动高性能计算的下一个时代，让我们在关乎世界却只有我们能把握的棘手新机遇中并肩前行！