仿真工程师
Simulation Engineer
Humble Robotics 简介
在 Humble Robotics 工作意味着参与几十年来地面运输领域最大的变革。我们正在打造一款自动驾驶、零排放的运输车，通过突破性的基于视觉的 AI 技术大幅降低货运成本，专为当今全球物流网络设计。
我们是一支快速前进、紧密协作的团队，成员包括 AV 行业资深人士和富有创新思维的人。我们认为文化无法被设计出来——但当它自然形成时，这将是一次终生难忘的冒险。
进步从未如此贴近现实。
职位概述
面向多种经验水平开放
我们正在寻找一名软件工程师加入我们的仿真团队。你将构建支持闭环模型测试、合成数据生成和传感器仿真的系统和工具。这项工作将大量使用现代神经渲染方法：高斯点云、世界模型和学习到的传感器模型。
我们目前是一个处于早期阶段的小团队。你将对我们要构建什么以及如何构建有真正的影响力。
主要职责
- 构建和维护用于闭环测试和合成数据生成的 Python 流水线和工具
- 将现代神经渲染技术集成到我们的传感器仿真系统中（例如，高斯点云、NeRFs、世界模型）
- 扩展并维护用于评估感知、规划和控制的场景库和基准套件
- 开发合成数据生成流程，包括场景和智能体行为生成，以支持模型训练
- 与 ML 和自主性工程师紧密合作，测量并减少仿真到现实的差距，确保仿真反映真实世界行为
最低要求
- 计算机科学、电子工程、机器人学或相关领域的学士、硕士或博士学位，或同等行业经验
- 精通 Python（仿真系统的主语言）
- 有使用仿真系统的经验，最好是在机器人、自动驾驶车辆或其他高保真领域
- 有在美国工作的资格
优先考虑
- 有神经渲染或生成仿真经验（例如，高斯点云、NeRFs、世界模型、基于扩散的方法）
- 在仿真某一领域有深入知识：闭环测试、场景设计、日志回放或传感器仿真
- 有构建跨团队使用的基准或评估框架的经验
- 有开发提升下游模型性能的合成数据流水线的经验
查看英文原文
About Humble Robotics
Working at Humble Robotics means taking on the biggest change in ground transportation in decades. We’re building an autonomous, zero-emissions hauler that dramatically lowers the cost of freight with groundbreaking vision-based AI, designed for today’s global logistics network.
We’re a fast-moving, close-knit team of AV industry veterans and innovative thinkers. We don’t believe culture can be engineered – but when it falls into place, it’s a once-in-a-lifetime adventure.
Progress has never felt so present.
Position Overview
Open to a range of experience levels
We’re looking for a software engineer to join our simulation team. You’ll build the systems and tools that support closed-loop model testing, synthetic data generation, and sensor simulation. This work will work heavily with modern neural rendering approaches: Gaussian splatting, world models, and learned sensor models.
We’re a small team early in the build. You’ll have real influence over both what we build and how we build it.
Key Responsibilities
- Build and maintain Python pipelines and tooling for closed-loop testing and synthetic data generation
- Integrate modern neural rendering techniques into our sensor simulation stack (e.g., Gaussian splatting, NeRFs, world models)
- Expand and maintain the scenario library and benchmark suite used to evaluate perception, planning, and control
- Develop synthetic data generation workflows, including scenario and agent behavior generation, to support model training
- Work closely with ML and autonomy engineers to measure and reduce sim-to-real gaps, ensuring simulation reflects real-world behavior
Minimum Qualifications
- BS, MS, or PhD in Computer Science, Electrical Engineering, Robotics, or a related field—or equivalent industry experience
- Strong proficiency in Python (primary language of the simulation stack)
- Experience working with simulation systems, ideally in robotics, autonomous vehicles, or other high-fidelity domains
- Eligible to work in the United States
Preferred Qualifications
- Experience with neural rendering or generative simulation (e.g., Gaussian splatting, NeRFs, world models, diffusion-based methods)
- Depth in one or more areas of simulation: closed-loop testing, scenario design, log replay, or sensor simulation
- Experience building benchmarks or evaluation frameworks used across a team
- Experience developing synthetic data pipelines that improved downstream model performance
- Familiarity with real-time robotic systems and their constraints on simulation fidelity
- Comfortable working on a small team with high ownership and fast iteration cycles
Compensation
This role is eligible for base salary \+ benefits \+ equity compensation. Salary ranges are determined by role, level, and location. Within the range, individual pay is determined by additional factors, including qualifications, skills, experience, and location.
Additional Information
As part of the interview process, we may use Artificial Intelligence (AI) tools to compare your qualifications and experience to the job description. A human reviews all AI output and makes a final hiring decision. Humble Robotics does not rely on the output to make any employment decisions. Some applicants may have a legal right to opt-out of the use of AI as part of our interview process. Contact **legal@humblerobotics.ai** to exercise this right or if you have further questions on the use of AI tools in our hiring process.
Humble Robotics is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, national origin, gender, age, religion, disability, sexual orientation, veteran status, marital status or any other characteristics protected by law. Humble Robotics will consider qualified applicants with arrest and conviction records in a manner consistent with local ordinances.