发现心仪岗位

The Opportunity

You will make our high-performance AI silicon accessible to the world. While the Runtime team builds the engine, you build the steering wheel. You will develop the Python SDK, integrating our C++ runtime into ecosystems like PyTorch, ONNX, or IREE. You define how data scientists interact with our chip—from "import aisoc" to running real-world LLMs and vision models end-to-end on our device.

Key Responsibilities

·       Python/C++ Bridging: Build efficient bindings (using pybind11) that allow Python users to drive our low-level C++ Runtime and memory allocator with minimal overhead and zero-copy where possible.

·       Model Ingestion: Build practical model import tools: weight packing/layout transforms, graph partitioning to supported ops, and integration with existing quantization/calibration workflows.

·       Developer Experience (DX): Ensure that when a user makes a mistake, they get a helpful Python exception, not a silent segmentation fault.

·       Golden Reference Examples: Build and maintain the "Hello World" and "Chatbot" demos that verify the entire hardware/software stack is functioning correctly.

What We Will Teach You

·       The internals of modern ML frameworks (how PyTorch dispatch works, how ONNX graphs are structured).

·       How to build and ship Python wheels and native extensions for our target runtime environment (Embedded Linux).

·       Techniques for zero-copy memory sharing between Python (numpy) and hardware accelerators.

Must-Have Qualifications

·       Strong proficiency in Python (you understand decorators, context managers, and the Global Interpreter Lock).

·       Working knowledge of C++ (you can read a header file and understand what needs to be exposed to Python).

·       Familiarity with ML Data Structures: You know that a "Tensor" is just a pointer to memory with shape and stride metadata.

Nice-to-Have (We Value Projects!)

·       Experience with ONNX Runtime, TVM, or MLIR.

·       Experience building Python wheels or C-extensions (pybind11, Cython).

岗位职责

1. DEMO 视频全流程制作：协助或主导 DEMO 视频全流程制作，包含短视频/长视频/后期处理，独立完成视频剪辑、节奏把控、基础调色、动画包装等，兼顾专业性与传播性；

2. 脚本与分镜设计：结合技术特性与用户兴趣，输出脚本与分镜设计，参与讨论 DEMO 演示逻辑、叙事结构等，和研发工程师、结构设计师协作，精准捕捉拍摄重点；

3. 拍摄与素材管理：使用微单或手机完成基础拍摄，保证素材清晰、构图合理，规划机位、搭建简单灯光场景，为内容积累真实素材；

4. 账号风格塑造：协助运营 B 站账号，参与账号定位，助力风格统一。

任职要求

1. 本科及以上学历，影视类、广告学类、视觉传达、动画等相关专业优先；

2. 熟练使用 PR / AE / Final Cut /剪映 Pro 等工具，能独立完成剪辑与调色；

3. 具备镜头语言与节奏审美，能理解基础技术逻辑并转化为清晰的可视化表达；

4. 能独立完成微单/手机拍摄，画面清晰、构图合理，并具备脚本创作意愿与表达欲。

5. 有科技/工程向创作经验，熟悉新媒体内容生态，能做基础动效，有个人账号或作品集者优先；

6. 每周实习 4 天及以上，持续 3 个月及以上者优先；

7. 积极主动，具备良好的沟通与团队协作能力，能适应多任务处理。

你将获得

1. 前沿科技视野：直接接触 AI、嵌入式硬件、物联网、结构设计等一线 DEMO，洞察行业最新技术趋势。

2. 全流程创作经验：从灵感、脚本、拍摄到后期、发布，全链路深度参与，成为核心创作者而非辅助角色。

3. 跨团队协作能力：与工程师、结构设计师、产品团队高频沟通，提升技术理解与跨职能协作能力。

4. 可展示的硬核作品：获得实习证明 + 可直接用于作品集的商业级视频素材，远超校园作业的专业度。

5. 创作能力跃迁：在真实项目中全面提升叙事、拍摄、剪辑、导演思维，积累科技类内容的实战创作经验。

The Opportunity

You will be the reason our chip is fast. You will write the hand-tuned kernels that power Large Language Models (LLMs) on our custom RISC-V hardware. You will work directly with hardware architects to exploit our proprietary Matrix (RVM) and Vector (RVV) extensions, squeezing every last FLOP out of the silicon.

Key Responsibilities

·       Kernel Implementation: Write kernels for GEMM and common epilogues (bias/activation/quant); implement Softmax/RMSNorm; evolve toward attention kernels as the project matures.

·       Micro-Optimization: Analyze assembly output. Did the compiler unroll the loop? Did we stall on a memory load? You fix it.

·       Tiling & Layout: Calculate the optimal way to chop a large tensor into "tiles" that fit in our L1 cache/TCM.

·       Benchmarking: Build the "speedometer" for the chip. Prove your kernel is faster than the baseline.

What We Will Teach You

·       Our proprietary RVM (Matrix) and RVV (Vector) intrinsic APIs.

·       How to use our cycle-accurate profilers and hardware counters.

·       The specific memory hierarchy constraints of our AI SoC.

Must-Have Qualifications

·       Strong C/C++ skills, specifically with a math/logic focus.

·       Understanding of Computer Architecture basics: Registers, Cache Hierarchy (L1/L2), SIMD (Single Instruction Multiple Data).

·       Comfortable reading/writing technical documentation (Instruction Set Architecture specs).

Nice-to-Have

·       Experience with CUDA, OpenMP, or AVX/Neon intrinsics.

·       Coursework in Linear Algebra or Numerical Methods.

The Opportunity

You will build the heartbeat of our AI accelerator. While our compilers generate the "what" (the neural network graph), the Runtime determines the "how" (execution). You will write the low-level C/C++ code that manages DMA engines, synchronizes parallel cores, and drives high utilization on our 4-PE AISoC while maintaining correctness and stability.

Key Responsibilities

·       Pipeline Orchestration: Implement the on-device scheduler that coordinates data transfers (DMA) and compute tasks. You will solve classic "producer-consumer" problems in silicon.

·       Memory Management: Build the allocator that manages tight on-chip SRAM (TCM). You decide where every tensor lives and when it dies.

·       Hardware Abstraction (HAL): Implement the low-level HAL and intrinsic wrappers used by our runtime and kernel library (no kernel-mode driver experience required).

·       Consistency & Visibility: Define and enforce explicit memory visibility protocols between cores/TCM/DMA (clean/flush + fence/events) to prevent stale data reads on our non-coherent system.

·       Debug & Profiling: Create the tools that tell us why the chip is stalling (trace markers, cycle counters).

What We Will Teach You

·       Our specific DMA descriptor model and event synchronization hardware.

·       How to manage memory visibility (cache maintenance) on a non-coherent architecture.

·       The internal workings of our on-device scheduling framework.

Must-Have Qualifications

·       Strong proficiency in C/C++ (you understand pointers, memory layout, and the stack vs. heap).

·       Academic or project experience with Operating Systems concepts (mutexes, race conditions, context switching).

·       Fearlessness in debugging: You don't just stare at a segfault; you attach a debugger and find the root cause.

Nice-to-Have

·       Experience with embedded systems (Raspberry Pi, STM32, or bare-metal RISC-V).

·       Knowledge of Python (for building test scripts to drive your C++ runtime).

岗位职责

1、参与公司嵌入式软件相关的应用层工具、桌面软件及系统组件的设计与开发；

2、基于 C++ 进行跨平台软件开发，覆盖 Windows / Linux / macOS 等环境；

3、使用 Qt 等框架进行 UI 及交互逻辑开发，提升工具易用性与工程效率；

4、使用 Boost / STL 等库进行底层功能开发，包括多线程、异步处理、数据管理等；

5、参与软件架构设计、模块拆分及性能优化，提升系统稳定性与可维护性 与嵌入式、芯片、AI、系统等团队协作，支持工具与底层系统、算法模块的集成；

6、参与代码评审、技术方案讨论和技术沉淀。

任职要求

1、本科及以上学历，计算机、电子工程、自动化等相关专业；

2、扎实的 C++ 编程基础，具备良好的面向对象设计能力；

3、熟悉 Qt 或有桌面应用 / GUI 开发经验；

4、熟悉 STL / Boost，理解多线程、内存管理、并发编程等核心概念；

5、具备良好的代码规范意识和工程化思维；

6、良好的学习能力和沟通能力，能够在跨团队环境中协作。

加分项

1、有跨平台桌面应用 或工程工具开发经验；

2、有嵌入式软件、SDK、开发工具链相关经验；

3、了解 AI 推理框架 / 大模型接口 / C++ 与 AI 系统集成经验；

4、熟悉 Linux 系统开发或性能优化；

5、有长期维护复杂软件系统的经验。

Role Overview

You will develop, optimize, and demonstrate end-to-end AI applications and reference designs on the proprietary RISC-V AI SoC and SDK. This includes benchmarking, demos, and workload enablement to showcase platform capabilities and provide ready-to-use examples for developers and customers.

Key Responsibilities

1. Develop and port AI workloads (CNN, Transformer, multimodal) using PyTorch, TensorFlow, and ONNX on the SDK. 

2. Create reference designs combining compiler, runtime, and kernel components. 

3. Develop SDK demos, tutorials, and reproducible benchmarking pipelines. 

4. Optimize models for performance, accuracy, and power efficiency. 

5. Collaborate with compiler, runtime, and framework teams to debug and tune workloads. 

6. Deliver performance analysis reports and reference application repositories. 

7. Collect usability feedback from internal and external developers. 

Qualifications

1. 3–7 years of experience in AI model development, optimization, or deployment. 

2. Strong hands-on with PyTorch, TensorFlow, or ONNX Runtime. 

3. Experience running AI workloads on GPU, NPU, or heterogeneous compute systems. 

4. Strong Python skills; C++ proficiency preferred. 

Preferred Attributes

1. Familiarity with quantization, mixed precision, and compiler-based model optimization. 

2. Experience creating AI SDK demos, sample apps, or developer documentation. 

3. Understanding of CNN, transformer, and attention-based models. 

岗位职责

1、系统运维和支持：负责 ERP 系统的日常问题排查，处理用户在使用系统时遇到的各种技术问题和流程疑问，对于复杂问题协助 ERP 厂商共同解决并做好对应问题处理记录；

2、系统优化与项目实施：与 ERP 厂商对接系统升级、新模块上线、以及与其它系统的集成项目，并做好项目实施文档记录；

3、流程自动化：使用脚本、VBA 或其他工具，将部门重复性、规律性的手工操作（如数据核对、报表生成）实现自动化，解放人力；

4、数据管理与报表开发：根据用户需求，理解业务，通过编写 SQL 查询语句，帮助用户从数据库中提取财务数据，满足各种临时性数据分析需求；

5、操作手册与培训：整理或完善 ERP 系统操作手册、知识库的完善；对用户进行日常操作培训和专项培训；

6、完成上级交办的其它工作。

任职要求

1、本科以上学历，计算机或信息管理专业，熟练掌握 SQL，熟悉至少一种主流 ERP 系统，编程/脚本能力（Python、VBA），基本的网络和系统架构知识，有一定的财务知识；

2、具有良好的沟通能力、分析解决问题能力和团队合作精神，执行力佳，能够快速定位问题，有 ERP 系统实施相关工作经验优先；

3、具有较强的责任心、抗压力、保密意识、项目管理能力和学习能力。