字节跳动语音引擎研发工程师-Data语音
校招全职A157360地点：北京状态：招聘
任职要求
1、2026届获得本科及以上学历，计算机等相关专业优先； 2、扎实的C++、C、Python编程语言，熟悉常用数据结构以及算法，对有挑战的工作富有热情； 3、熟悉计算机体系结构和操作系统，具备软件/库架构的设计与研发经验的更佳； 4、有较强的分析问题和解决问题的能力，有强烈的责任心。 加分项： 1、在ACM/NOI/IOI/TopCoder获奖者优先； 2、有量化、GPTQ、AWQ、蒸馏、投机采样、指令集优化、深度模型优化等相关项目经验者优先； 3、有CPU/GPU/NPU、CUDA、Cutlass、Triton、TileLang、OpenCL、ARM、DSP等高性能计算优化经验者优先； 4、有大模型推理框架vLLM、Sglang等相关大模型引擎开发经验的优先； 5、有语音信号处理、语音识别、语音合成或者自然语言处理算法相关经验的优先。
工作职责
团队介绍：Data语音团队致力于语音/音频/音乐相关的AI核心技术研发和产品创新。部门支撑音频和多模态内容从生产、编辑到消费的全流程，赋能内容创作和互动，并以中台形式支持集团多个业务，提供业界前沿的技术能力与解决方案。 1、负责大模型推理框架与引擎建设，提供满足音频各场景的核心原子能力； 2、负责大模型推理框架与引擎深度优化，包括语音信号处理、交互、翻译、理解、生成、音乐等大模型推理性能极致优化，支持相关大模型业务落地； 3、负责语音大模型模型压缩（如蒸馏、量化、投机采样等）技术业务迭代与落地； 4、负责为字节跳动全系产品（豆包、抖音、剪映、番茄小说、飞书、火山引擎等）提供AI语音理解、对话以及合成等方面的能力，用AI技术影响数亿国内国际用户。
包括英文材料
学历+
C+++
https://www.learncpp.com/
LearnCpp.com is a free website devoted to teaching you how to program in modern C++.
https://www.youtube.com/watch?v=ZzaPdXTrSb8
C+
https://www.freecodecamp.org/chinese/news/the-c-beginners-handbook/
本手册遵循二八定律。你将在 20% 的时间内学习 80% 的 C 编程语言。
https://www.youtube.com/watch?v=87SH2Cn0s9A
https://www.youtube.com/watch?v=KJgsSFOSQv0
This course will give you a full introduction into all of the core concepts in the C programming language.
https://www.youtube.com/watch?v=PaPN51Mm5qQ
In this complete C programming course, Dr. Charles Severance (aka Dr. Chuck) will help you understand computer architecture and low-level programming with the help of the classic C Programming language book written by Brian Kernighan and Dennis Ritchie.
Python+
https://liaoxuefeng.com/books/python/introduction/index.html
中文，免费，零起点，完整示例，基于最新的Python 3版本。
https://www.learnpython.org/
a free interactive Python tutorial for people who want to learn Python, fast.
https://www.youtube.com/watch?v=K5KVEU3aaeQ
Master Python from scratch 🚀 No fluff—just clear, practical coding skills to kickstart your journey!
https://www.youtube.com/watch?v=rfscVS0vtbw
This course will give you a full introduction into all of the core concepts in python.
数据结构+
https://www.youtube.com/watch?v=8hly31xKli0
In this course you will learn about algorithms and data structures, two of the fundamental topics in computer science.
https://www.youtube.com/watch?v=B31LgI4Y4DQ
Learn about data structures in this comprehensive course. We will be implementing these data structures in C or C++.
https://www.youtube.com/watch?v=CBYHwZcbD-s
Data Structures and Algorithms full course tutorial java
算法+
https://roadmap.sh/datastructures-and-algorithms
Step by step guide to learn Data Structures and Algorithms in 2025
https://www.hellointerview.com/learn/code
A visual guide to the most important patterns and approaches for the coding interview.
https://www.w3schools.com/dsa/
CUDA+
https://developer.nvidia.com/blog/even-easier-introduction-cuda/
This post is a super simple introduction to CUDA, the popular parallel computing platform and programming model from NVIDIA.
https://www.youtube.com/watch?v=86FAWCzIe_4
Lean how to program with Nvidia CUDA and leverage GPUs for high-performance computing and deep learning.
OpenCL+
https://developer.nvidia.com/opencl
OpenCL™ (Open Computing Language) is a low-level API for heterogeneous computing that runs on CUDA-powered GPUs.
https://engineering.purdue.edu/~smidkiff/ece563/NVidiaGPUTeachingToolkit/Mod20OpenCL/3rd-Edition-AppendixA-intro-to-OpenCL.pdf
we will give a brief overview of OpenCL for CUDA programers.
[英文] Hands On OpenCL
https://handsonopencl.github.io/
An open source two-day lecture course for teaching and learning OpenCL
https://leonardoaraujosantos.gitbook.io/opencl/chapter1
Open Computing Language is a framework for writing programs that execute across heterogeneous platforms.
https://ulhpc-tutorials.readthedocs.io/en/latest/gpu/opencl/
OpenCL came as a standard for heterogeneous programming that enables a code to run in different platforms.
https://www.youtube.com/watch?v=4q9fPOI-x80
This presentation will show how to make use of the GPU from Java using OpenCL.
大模型+
https://www.youtube.com/watch?v=xZDB1naRUlk
You will build projects with LLMs that will enable you to create dynamic interfaces, interact with vast amounts of text data, and even empower LLMs with the capability to browse the internet for research papers.
https://www.youtube.com/watch?v=zjkBMFhNj_g
vLLM+
https://www.newline.co/@zaoyang/ultimate-guide-to-vllm--aad8b65d
vLLM is a framework designed to make large language models faster, more efficient, and better suited for production environments.
https://www.youtube.com/watch?v=Ju2FrqIrdx0
vLLM is a cutting-edge serving engine designed for large language models (LLMs), offering unparalleled performance and efficiency for AI-driven applications.
SGLang+
[英文] Install SGLang
https://docs.sglang.ai/get_started/install.html
SGLang is a fast serving framework for large language models and vision language models.
https://github.com/sgl-project/sgl-learning-materials
语音识别+
https://www.youtube.com/watch?v=mYUyaKmvu6Y
Learn how to implement speech recognition in Python by building five projects.
https://www.youtube.com/watch?v=sR6_bZ6VkAg
How Rev.com harnesses human-in-the-loop and deep learning to build the world's best English speech recognition engine
NLP+
https://www.youtube.com/watch?v=fNxaJsNG3-s&list=PLQY2H8rRoyvzDbLUZkbudP-MFQZwNmU4S
Welcome to Zero to Hero for Natural Language Processing using TensorFlow!
https://www.youtube.com/watch?v=R-AG4-qZs1A&list=PLeo1K3hjS3uuvuAXhYjV2lMEShq2UYSwX
Natural Language Processing tutorial for beginners series in Python.
https://www.youtube.com/watch?v=rmVRLeJRkl4&list=PLoROMvodv4rMFqRtEuo6SGjY4XbRIVRd4
The foundations of the effective modern methods for deep learning applied to NLP.
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