
MomentaSAI-Camera应用软件开发工程师
任职要求
211/985计算机、电子或机器人相关专业本科及以上学历,5年以上自动驾驶/机器视觉相关开发经验。 熟悉C++,有嵌入式Linux开发经验,有使用CUDA或Op…
工作职责
负责Orin/Thor/8650/8797/BMC等不同智驾芯片的CameraPipeline架构设计、接口定义、链路优化,保障多路相机低时延、高稳定输出。 负责不同型号相机的数据接入、抽象、几何变换、畸变校正、虚拟视图、性能优化以及闭环验证。 制定相机服务的测试和验收标准,参与功能安全设计,支撑L2/L3/L4自动驾驶量产。 跟踪自动驾驶相关芯片的最新技术发展,并与硬件、算法、系统集成团队合作,持续优化自动驾驶相机服务与整体软件系统。
We are looking for a Software Test development engineer in NVIDIA’s AI SWQA team. The position is in NVIDIA AI Software Quality Assurance team that defines, develops and performs tests to validate robustness and measure the performance of NVIDIA‘s AI software and GPU Infrastructure for autonomous driving, healthcare, speech recognition, natural language processing, and a wide variety of other AI scenarios. This team collaborates with multiple AI product teams to develop new products; derive and improve complex test plans; and improve our workflow processes for a diverse range of GPU computing platforms. You should grow with being in the critical path supporting developers working for billion-dollar business lines as well as intimately understanding the values of responsiveness, thoroughness and teamwork. You should constantly foster and implement efficiency improvements across your domain. Join the team which is building software which will be used by the entire world! What you’ll be doing: • Work closely with global cross-functional teams to understand the test requirements and take ownership of product quality. • Plan/design/execute/report/automate test plan/test case/test reports. • Manage bug lifecycle and co-work with inter-groups to drive for solutions. • Automate test cases and assist in the architecture, implementing/enabling test for CI/CD. • In-house repro and verify customer issues/fixes.

1、负责自动驾驶车端算法软件集成工作,将自动驾驶系统各个功能软件和算法模块与车载设备和系统集成在一起,解决整个系统的数据联通、软硬件的正确性和稳定性问题,将软件集成为完整的、稳定的、可交付的自动驾驶产品; 2、全面参与自动驾驶车端算法软件调试迭代,解决综合性算法与工程问题, 不断改进自动驾驶系统集成的自动化效率与质量; 3、参与自动驾驶项目的软件量产交付,与算法、基础组件、软件架构等团队合作,负责嵌入式系统CPU、内存等核心资源性能优化; 4、结合自动化驾驶系统软件架构,开发性能测评组件和系统级分析工具。
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. We are looking for a SAI software verification engineer to join our SAI development team. As a Verification Engineer at NVIDIA, you will work closely with NVIDIA’s development and architecture teams responsible for SAI design and gain deep understanding of NVIDIA products and technologies. What you’ll be doing: • Be part of NVIDIA SAI multi-national R&D team, contribute code to SAI community and Nvidia SAI implementation.• Design and implement robust, maintainable, and efficient automation test suite.• Work with continuous integration systems, regression tools, automate builds, run test suites, generate test reports, isolate and classify failures and review new degradation.• Work with experienced teams which are well known in the SAI community.• Develop high quality code, most of the code is open source and published and reviewed in industry leading open source environments.