特斯拉(高级/资深)语音集成工程师
任职要求
Support validation teams in developing component and system level test plans to meet voice interaction Understand and debug hardware and software interactions during design, launch, and deployment of voice features Perform field data analytics to improve design and performance of the voice system Analyze changes to assess impact to systems by summarizing impacted devices, interfaces and process in the hardware and software domain Serve as a system leader to provide technical direction for hardware, software, manufacturing, and service teams Help various cross-functional teams understand how their systems and related decisions impact voice interaction systems Bachelor’s degrees in Computer Science, Computer Engineering, Electrical Engineering, Systems Engineering, or equivalent Strong C++/Go comprehension Comfortable with audio processing fundamentals Excellent at hands-on debugging complex subsystems involving audio processing, microphones, and voice recognition systems Comfortable analyzing data to improve design and performance of a voice system Underst…
工作职责
The Role Voice integration engineers within the vehicle software organization work side by side with various cross-functional teams to lead the design and development of voice interaction systems. This role utilizes hardware, software, and system design fundamentals to support product design, voice interaction behaviors definition, prototype bring-up, and validation, with a software focus. Voice integration engineers are responsible for overall functionality and performance of voice interaction systems throughout product life cycle. This role will be responsible for voice recognition, natural language processing, audio processing pipeline, voice commands, and other voice-related features in the vehicle. Responsibilities Distill vehicle product requirements into actionable software requirements for voice services Lead software architecture design of voice interaction products and features Define system hardware and software interfaces for voice processing systems Bring-up and debug early software and hardware prototypes through characterizing the voice systems and ensuring systems perform to
【业务介绍】 我们是小红书内稠密类模型(LLM/MLLM/SD/CV/NLP)统一的AI平台QuickSilver,负责调度公司内所有稠密类模型训练与推理资源,基于自建的训推引擎,为公司所有AI算法同学迭代业务模型提供端到端一站式AI服务;包括数据管理,模型管理,模型训练、压缩、推理、部署,服务管理,资源调度等一系列能力。 工作职责: 1、负责稠密类模型训练推理开发平台的架构设计和核心功能研发 2、设计和实现大模型训练部署流程,包括模型fine-tuning、推理服务化等 3、构建云原生架构,设计高可用、高性能的微服务体系 4、优化平台性能,提升系统稳定性和可扩展性
1、负责模型训练平台核心功能开发和架构设计,包括传统CN/NLP/SD/LLM等多场景支持 2、负责大模型后训练工具平台化建设,包括后预训练、微调、对齐等技术落地 3、设计和实现高性能分布式训练系统,打造端到端训练解决方案 4、优化训练调度和资源管理,提升集群利用率和训练效率 5、开发模型训练监控诊断工具,建设可观测性体系
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