Quantum Careers Panel
TLDRThe Quantum Careers Panel at the Quantum Summer Symposium featured a diverse group of professionals from Google's Quantum AI team. Moderated by Emily Mount, the panelists discussed their unique career paths, the importance of diverse skillsets, and the value of perseverance in the field of quantum computing. They addressed common misconceptions, shared insights on the dynamic work culture, and offered advice for those looking to enter or transition into quantum careers, emphasizing the potential for growth and the need for continuous learning.
Takeaways
- 😀 The panel consists of professionals from diverse backgrounds, indicating that a variety of skills and experiences are valued in the quantum computing field.
- 🎓 Not all panelists have a Ph.D., highlighting that Google Quantum AI is open to candidates with different educational backgrounds.
- 🌟 Emphasized the importance of soft skills like grit, passion, and perseverance, suggesting that these qualities are highly regarded in the industry.
- 🌐 The panelists discussed the value of diverse perspectives, indicating that Google Quantum AI benefits from a range of viewpoints and experiences.
- 💡 Encouraged continuous learning and adaptation, as the field of quantum computing is rapidly evolving and requires staying up-to-date with new developments.
- 🔍 Highlighted the significance of communication and collaboration skills, which are crucial for working effectively in a team environment.
- 🌱 Mentioned that Google offers support for professional growth, including mentorship programs and opportunities for skill development.
- 🚀 Discussed the blurred lines between hardware, software, and algorithm roles, suggesting that being a generalist or having interdisciplinary skills can be advantageous.
- 🌐 Emphasized the importance of having international experience and being open to global perspectives in the field of quantum computing.
- 🤝 Shared personal experiences of transitioning from different industries to quantum computing, showing that it's possible to switch fields and succeed.
Q & A
What is the role of Emily Mount in the Quantum AI team?
-Emily Mount is the lead product manager for the Quantum AI team and she is moderating the career panel.
How did Drifter De Roy's background in trap ion quantum computers influence his current role?
-Drifter De Roy had to switch architectures when he joined the team, as his background was in trap ion quantum computers, which differs from the team's focus.
What unique perspective does Rebecca Potter bring to the Google Quantum team?
-Rebecca Potter brings a unique perspective due to her previous industry experience in aerospace and defense, and commercial cameras, which is different from typical quantum backgrounds.
How did Aaron Shorter's experience in the semiconductor industry lead him to Google Quantum AI?
-Aaron Shorter's experience in the semiconductor industry and the decommissioning of a clean room project at his previous company opened up an opportunity for him to transition to Google Quantum AI.
What misconceptions does Alejandro think people have about joining a quantum computing team?
-Alejandro believes that one common misconception is the need to have research publications or a high GPA to join a team like Google Quantum AI.
What advice does Alejandro have for someone from a non-traditional background looking to enter quantum computing?
-Alejandro advises gaining experience abroad, utilizing online courses, and connecting with professionals in the field through social media platforms like LinkedIn.
What does the Quantum AI team look for in candidates even if they don't have a PhD?
-The team looks for candidates with diverse skill sets, passion, perseverance, and the ability to contribute to long-term goals, regardless of academic qualifications.
Why is communication considered a vital skill in the Quantum AI team, according to Rebecca Potter?
-Rebecca Potter emphasizes that communication and collaboration are important because the team works in a collaborative environment, and these skills are universal across all roles and industries.
How does the work culture at Google Quantum AI differ from a university lab, as described by Ping?
-Ping describes the work culture at Google Quantum AI as having a more diverse background among team members and a different project setup where individuals contribute to large team efforts rather than leading small projects.
What is the importance of having a growth mindset when joining Google Quantum AI, as mentioned by Ping?
-Ping stresses the importance of having a growth mindset, being proactive in learning, and not being afraid to ask questions when joining the team due to the vast amount of knowledge required.
Outlines
😀 Introductions and Career Paths at Quantum AI
The panel, moderated by Emily Mount, introduces the Quantum AI team from Google and their roles. Each panelist shares their unique career path that led them to their current positions. Drifter De Roy, a research scientist, discusses transitioning from trap iron quantum computers. Rebecca Potter, a technical program manager, comes from aerospace and defense. Aaron Shorter, a hardware test engineer, moved from the semiconductor industry. Ping, who has a background in trapped ions and defense, now leads as a product manager. Being A, a software engineer, transitioned from experimental high-energy physics. Alejandro, despite not having a Ph.D., discusses his non-traditional path from Colombia, emphasizing the importance of diverse perspectives and experiences.
🎓 Navigating Education and Misconceptions in Quantum Careers
The panelists address the importance of perseverance and grit in the quantum field, highlighting the value of long-term passion. They discuss the significance of diverse backgrounds and perspectives, emphasizing the innovation that comes from varied experiences. Communication and collaboration are underscored as universally valuable skills. Alejandro challenges common misconceptions about the necessity of a Ph.D. or research publications for a successful career in quantum computing, encouraging the pursuit of passion and learning.
🛠️ Industry Transitions and the Uniqueness of Quantum Computing
The panel explores the differences between academic and industry work environments, noting the collaborative nature and the scale of projects in the industry. They discuss the importance of adaptability and continuous learning, as well as the unique challenges and opportunities in quantum computing compared to other industries. The conversation also touches on the support systems and resources available at Google Quantum AI for new hires.
💼 Practical Advice for Breaking into Quantum Computing
The panelists offer advice for those looking to enter the field of quantum computing, emphasizing the importance of project management skills, diverse experiences, and the ability to communicate effectively. They discuss the value of having a growth mindset and being proactive in learning new tools and technologies. The conversation also includes insights on how to leverage one's existing skills and how to demonstrate the ability to contribute to a team.
🌟 Skills Development and Support at Google Quantum AI
The panelists discuss the types of skills that are developed at Google Quantum AI, including the use of Google tools, collaborative code work, and the importance of social risks and communication. They share their personal experiences and the changes they've noticed in themselves over their first year, such as increased bravery in social interactions and the ability to learn quickly and adapt to new information.
🔍 Blurred Roles and Encouraging Diverse Talent
The panelists address the blurred lines between hardware, software, and algorithm roles, emphasizing the value of being a generalist and having a broad skill set. They discuss the importance of being able to learn and adapt quickly, as well as the benefits of having a diverse team with varied expertise. The conversation also includes a discussion on the frequency of meetings with internal and external collaborators and the open culture of communication at Google Quantum AI.
🚀 Embracing Discomfort and Future Outlook
The panel concludes with a discussion on the importance of embracing discomfort and the value of diverse contributions, especially for those considering a career change. They share their hopes for the future of quantum computing and the potential impact it will have on solving complex problems. The conversation also includes thoughts on the future workforce and the types of skills and experiences that will be valuable as the field continues to evolve.
Mindmap
Keywords
💡Quantum Computing
💡Research Scientist
💡Technical Program Manager
💡Hardware Test Engineer
💡Product Manager
💡Career Path
💡Diversity in Skills and Backgrounds
💡Communication and Collaboration
💡Grit and Perseverance
💡Misconceptions in Quantum Careers
💡Onboarding and Mentorship
Highlights
Introduction to the Quantum Careers Panel at the Quantum Summer Symposium.
Panel moderated by Emily Mount, Lead Product Manager for the Quantum AI team.
Drifter De Roy shares his transition from trap-ion quantum computers to Google Quantum AI.
Rebecca Potter discusses her move from aerospace and defense to Google's quantum hardware team.
Aaron Shorter explains how his semiconductor experience led him to Google Quantum AI.
Panelist with a background in trapped ions and defense shares their unique career trajectory.
Alejandro, from Colombia, talks about joining Google Quantum AI without a PhD.
Advice for overcoming geographical and educational barriers in quantum computing.
Google's openness to hiring non-PhDs and the value of diverse skill sets.
Importance of grit and perseverance in long-term quantum computing goals.
Value of diverse perspectives in problem-solving within the quantum team.
Need for technical diversity and human interaction skills in the quantum team.
Communication and collaboration skills are universally important in the quantum team.
Debunking the misconception that all Google Quantum team members have PhDs.
Differences between academic research and industry research in quantum computing.
Tips for picking up quantum computing knowledge on the job.
Importance of having a growth mindset and being proactive in learning new tools and technologies.
Mentorship programs and support systems for new members at Google Quantum AI.
Discussion on the demand for multi-specialists in the quantum computing industry.
Blurred lines between hardware, software, and algorithm roles in quantum computing.
How often researchers meet with their collaborators at Google Quantum AI.
Encouragement for undergrads and those without a PhD to apply for roles in quantum computing.
Advice for those considering a career change into quantum computing.