Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 520 days ago

具身大模型算法工程师

tarsrobot/index110 open roles

Where
Shanghai, Chinese Mainland
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen now具身大模型算法工程师tarsrobot/index · Shanghai, Chinese Mainland

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on tarsrobot/index's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

12.1% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: posted 520 days ago

The posting

1. 多模态联合推理系统设计 - 研发端到端VLA架构，实现高层任务规划与低层动作生成的模态对齐，支持长程任务链（CoAT）的自主决策。 - 构建物理世界模型（World Model），解决仿真到现实的泛化鸿沟（Sim2Real），提升模型在复杂环境中的推理能力。 2. 动作生成与优化 - 开发扩散/自回归策略生成多模态动作轨迹，实现动作高速输出，满足机器人实时控制需求。 - 设计物理约束注入机制（如运动学可行性校验、碰撞避障），确保生成动作符合实体机器人动力学限制。 - 生成高维空间的灵巧长程操作动作。 3. 数据闭环与高效训练 - 构建问题驱动的数据引擎，融合主动学习与场景挖掘技术。 - 探索Scaling Law规模化路径：从模型架构、数据量到算力的协同扩展。 4. 边缘部署与实时优化 - 研发硬件感知的编译时-运行时协同优化框架，通过TensorRT/MNN量化、模型蒸馏，实现高效实时推理。

1. 核心技术能力 - 精通VLA全栈技术链： - 架构：Transformer-based VLA（RT-2/OpenVLA）、扩散模型（Diffusion Policy）、快慢脑系统； - 训练：多机多卡大模型训练、强化学习奖励函数设计、世界模型驱动的RL； - 部署：动作Token化、模型轻量化（Pruning/Quantization）。 - 掌握物理建模工具： - 3D高斯场景重建、Isaac Sim/Gym/Gazebo高保真仿真、ROS2实时控制框架。 2. 加分项 - 在机器人领域顶级会议/期刊（如SR/IJRR/RSS/T-RO/RA-L/JFR/ICRA/IROS等）发表过具身智能相关的研究论文。 - 在权威机器人竞赛（如 RoboMaster, RoboCup等）中取得优异成绩。

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against tarsrobot/index's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on tarsrobot/index's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    tarsrobot/index's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.