Hardware Expert (MSc. or PhD)
硬件专家 （MSc.或博士学位）薪水：60美元~120美元/小时 地点：全球，完全远程工作类型：承包商 （每周15个小时）时间表：灵活你选择你的工作时间和日期，包括周末如果想要的微1正在聘请经验丰富的硬件工程师为围绕复杂的实体工程问题构建 AI 培训项目做出贡献。在这个角色中，你将使用技术专业知识创建，解决和评估需要合理判断，量化推理和可复制答案的工程挑战。我们正在寻找拥有个人有意义的技术工作，例如将硬件系统投入生产，验证模型与测试数据相对，开发严格的验证方法或诊断出困难故障。我们重视能够连接第一原则推理与实际限制并产生可以独立验证的工作的工程师。工作范围 ·基于现实的工业或研究场景创建技术严格，自主化的硬件工程问题。·使用工程计算，模拟，脚本，实验推理或其他适当方法制定明确参考解决方案。· 使用 Python, MATLAB,Simulink,SPICE,Julia,C/C++,测试自动化平台或同等工程软件来验证结果。优先资格 ·电气工程，机械工程，机器人学，航空航天工程，系统工程，应用物理或紧密相关领域的本科学位。·在硬件工程，产品开发，系统集成，测试，验证，可靠性或故障分析方面具有显著专业或研究经验。· 证明拥有重大工程问题，例如产品或子系统已经到达生产，模型已验证了对物理测试的情况，你开发的测试系统或诊断出困难故障。· 与编码代理工作经验是必需的过程。·申请角色并完成选题。· 完成约30分钟的 AI 面试。· 完整招聘管理员审查。补偿结构补偿是基于输出的任务。专家每项目的任务都会获得支付。每个任务完成所需时间可能根据专家的经验和工作流程而异。申请要求最低限度。
查看英文原文
Hardware Expert (MSc. or PhD)
Pay: $60–$120/hour
Location: Global, fully remote
Job Type: Contractor (~15 hours per week)
Schedule: Flexible—you choose the hours and days you work, including weekends if desired
micro1 is engaging experienced Hardware Engineers to contribute to AI training projects built around complex, real-world engineering problems. In this role, you will use your technical expertise to create, solve, and evaluate engineering challenges that require sound judgment, quantitative reasoning, and reproducible answers.
We are looking for engineers who have personally owned meaningful technical work—such as taking a hardware system into production, validating a model against test data, developing a rigorous verification approach, or diagnosing a difficult failure. We value engineers who can connect first-principles reasoning with practical constraints and produce work that can be independently verified.
Scope of Work
- Create technically rigorous, self-contained hardware engineering problems based on realistic industry or research scenarios.
- Develop clear reference solutions using engineering calculations, simulations, scripts, experimental reasoning, or other appropriate methods.
- Use tools such as Python, MATLAB, Simulink, SPICE, Julia, C/C++, test automation platforms, or equivalent engineering software to validate results when relevant.
Preferred Qualifications
- Bachelor’s, Master’s, or PhD degree in Electrical Engineering, Mechanical Engineering, Mechatronics, Aerospace Engineering, Systems Engineering, Applied Physics, or a closely related field.
- Significant professional or research experience in hardware engineering, product development, systems integration, testing, validation, reliability, or failure analysis.
- Demonstrated ownership of a substantial engineering problem—for example, a product or subsystem that reached production, a model validated against physical testing, a test system you developed, or a difficult failure you diagnosed.
- Experience working with Coding Agents is a must
Process
- Apply to the role and complete the screening questions.
- Complete an AI interview of approximately 30 minutes.
- Complete the hiring manager review.
Compensation Structure
Compensation is output-based. Experts are paid per task that meets the project specifications. The time required to complete each task may vary depending on the expert’s experience and workflow.
Minimum submission requirements apply..
Start Timeline & Availability
We typically fill roles within 48 hours and are looking for experts who are ready to begin immediately. If selected, you will be expected to start your first task within 24–48 hours of completing onboarding.
Originally posted on Himalayas