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Mechanical Product Engineer, Robotics

About the Team

Our Robotics team is focused on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings. Working across the entire model stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the physical constraints of physical robotic platforms.

About the Role

As a Hardware Engineer on the Robotics team, you will help shape the next generation of embodied AI. You’ll be involved in evaluating and refining new physical configurations—integrating novel sensors, actuators, and computational elements to bring our advanced models into the real world. This role offers the chance to influence how our AI scales beyond simulation, ensuring that each design, test, and iteration moves us closer to truly adaptive, versatile robotic systems.

You might thrive in this role if you:

  • Have at least 8 years of consumer or industrial electronics experience, including at least 2 years of experience designing robotics hardware components and systems.

  • Direct hands-on experience in mechanism design, with a focus on design in actuators, motors, gearing and limb design. 

  • Bachelor’s or Master's degree in Mechanical Engineering, Product Design, or related field, or equivalent practical experience.

  • Experienced in Design for Manufacturability (DFM), Design for Assembly (DFA), statistical tolerance analysis techniques, CTF dimensioning, and geometric tolerancing

  • Strong understanding of manufacturing processes, materials science, and tolerance analysis.

  • Excellent 3D CAD experience in a leading design tool, including basic strength analysis.

  • Strong technical communication skills with peer engineers, software engineers and XFN partners.

Additional, preferred qualifications:

  • Experience with thermal cooling solutions for hardware and silicon, or integrating sensors.

  • Experience designing mechanical systems intended for high volume (1M+)

  • Experience problem-solving on assembly lines and directing CM teams in all design phases.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. 

OpenAI Affirmative Action and Equal Employment Opportunity Policy Statement

For US Based Candidates: Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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Average salary estimate

$150000 / YEARLY (est.)
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$120000K
$180000K

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What You Should Know About Mechanical Product Engineer, Robotics, OpenAI

Are you a passionate Mechanical Product Engineer specializing in Robotics, eager to make a significant impact? Join the amazing team at OpenAI in San Francisco and contribute to unlocking the future of general-purpose robotics. In this role, you'll play a crucial part in evaluating and refining innovative physical configurations to integrate cutting-edge sensors, actuators, and other computational components. Your expertise will help us transition advanced AI models from simulation to reality, paving the way for truly adaptable robotic systems. With a minimum of 8 years of experience in consumer or industrial electronics and at least 2 years in robotics hardware design, you'll need a strong background in mechanism design and manufacturing processes. A Bachelor’s or Master’s degree in Mechanical Engineering or a related field is essential. Your proficiency in 3D CAD tools and your strong communication skills will ensure effective collaboration with peers and cross-functional teams. If you're excited about pioneering the future of AI and robotics, this role at OpenAI is the perfect fit for you. Bring your creativity and problem-solving mindset to help us reshape industries and enhance everyday life. Together, let's push the boundaries of technology and redefine what's possible!

Frequently Asked Questions (FAQs) for Mechanical Product Engineer, Robotics Role at OpenAI
What are the responsibilities of a Mechanical Product Engineer at OpenAI?

As a Mechanical Product Engineer at OpenAI, you will be directly involved in shaping the future of robotic systems. This includes evaluating and refining physical designs, integrating advanced sensors and actuating mechanisms, and ensuring the seamless transition from model to real-world application. Your role will require close collaboration with software engineers and other team members to guarantee that all hardware components perform optimally in dynamic environments.

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What qualifications are needed to become a Mechanical Product Engineer at OpenAI?

To qualify for the Mechanical Product Engineer position at OpenAI, candidates must have at least 8 years of experience in electronics, with a focus on 2 years in robotics hardware design. A Bachelor’s or Master's degree in Mechanical Engineering or a related field is necessary, along with expertise in mechanism design, manufacturing processes, and 3D CAD tools.

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What skills are essential for success as a Mechanical Product Engineer in Robotics at OpenAI?

Successful candidates for the Mechanical Product Engineer role at OpenAI should have strong skills in design for manufacturability, assembly, and tolerance analysis. Proficiency in 3D CAD design, excellent communication abilities, and hands-on experience with robotics hardware components are also critical. Additionally, familiarity with high-volume mechanical systems and experience in integrating advanced sensors are highly desirable.

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What project opportunities might a Mechanical Product Engineer encounter at OpenAI?

At OpenAI, a Mechanical Product Engineer will encounter diverse project opportunities, working on innovative designs for robotics that influence various industries. You will engage in fine-tuning mechanical systems for versatility, enhancing AI capabilities, and addressing complex engineering challenges, all while contributing to breakthroughs in embodied AI technology.

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How does OpenAI support diversity and inclusion for Mechanical Product Engineers?

OpenAI is committed to diversity and inclusion in the workplace, ensuring that all employees, including Mechanical Product Engineers, feel valued and empowered. The company embraces diverse perspectives and experiences, fostering an environment where creative ideas can flourish. OpenAI actively abides by equal opportunity standards and encourages inclusive practices across all teams.

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Common Interview Questions for Mechanical Product Engineer, Robotics
Can you describe your experience with mechanism design as it relates to robotics?

When discussing your experience with mechanism design, focus on specific projects where you developed actuators or motors for robotic applications. Highlight your understanding of the mechanical constraints involved and how you overcame challenges during the design process.

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How do you ensure design for manufacturability in your projects?

To ensure design for manufacturability, emphasize your approach to analyzing designs for cost-effective and efficient production. Discuss techniques you've employed to simplify assembly processes and how you've collaborated with manufacturing teams to achieve optimal results.

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What is your approach to integrating sensors into mechanical systems?

When discussing integrating sensors into mechanical systems, explain your strategy for selecting the appropriate sensors based on the application requirements. Provide examples of how you successfully integrated sensors into previous designs to enhance performance and functionality.

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How do you approach problem-solving on assembly lines?

In addressing challenges on assembly lines, describe your methodology for identifying inefficiencies and implementing solutions. Use examples where you analyzed data, collaborated with cross-functional teams, and made specific adjustments that improved assembly processes.

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What 3D CAD tools are you proficient in, and how have you used them to solve design problems?

Share your experience with the various 3D CAD tools you've utilized, detailing specific features you found helpful. Discuss notable projects where these tools helped you visualize complex designs and troubleshoot issues.

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What is your understanding of geometric tolerancing and its importance in design?

Explain your knowledge of geometric tolerancing, emphasizing its role in ensuring that parts fit together correctly. Share examples of projects where you applied tolerancing principles to prevent assembly issues and ensure quality.

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Can you discuss a project where you had to meet high-volume production requirements?

Discuss a specific project geared toward high-volume production, detailing your role in designing systems for efficiency and scalability. Highlight any techniques you used to maintain quality while meeting production demands.

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How do you incorporate feedback from cross-functional teams in your designs?

Illustrate your collaborative approach by sharing how you've gathered and integrated feedback from cross-functional teams, such as software engineers and manufacturing partners, to refine your designs and achieve better overall results.

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What have you learned about materials science through your projects?

Share insights from your experiences that show a solid understanding of materials science, focusing on how different materials affect the design and functionality of robotics. Detail any projects that required you to select materials thoughtfully based on specific mechanical requirements.

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What role do you think empirical testing plays in the design process?

Discuss the significance of empirical testing in validating designs, ensuring reliability and performance. Share experiences where you conducted real-world tests to inform design iterations, emphasizing the positive outcomes of your testing methodologies.

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OpenAI is a US based, private research laboratory that aims to develop and direct AI. It is one of the leading Artifical Intellgence organizations and has developed several large AI language models including ChatGPT.

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CULTURE VALUES
Inclusive & Diverse
Feedback Forward
Collaboration over Competition
Growth & Learning
FUNDING
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SENIORITY LEVEL REQUIREMENT
INDUSTRY
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EMPLOYMENT TYPE
Full-time, on-site
DATE POSTED
January 10, 2025

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