Hardware Expert (MSc. or PhD)（远程职位）

这条招聘信息来自 micro1，岗位是 Hardware Expert (MSc. or PhD)。职位属于「IT 与编程」类别，完全远程。公司不限制候选人的居住地，在任何地方都可以申请。

招聘信息里列出的主要工具是：Python、QA Automation。简历上最好能给出正是这几项能力的具体例子。

公司没有公布具体数字，这一项会在面试时谈定。对工作时间，招聘信息没有提出任何条件。

这个职位通过了自动核查：凡是要求外国工作许可、签证担保、特定国籍，或者必须居住在指定国家的招聘信息，都不会进入列表。

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