Salary :
Founded in 2020 and based in the heart of Paris, C12’s mission is to be at the center of one of the biggest technological breakthroughs of the century and change the course of history by building a universal quantum computer.
At C12, we believe that achieving a true breakthrough in quantum computing requires rethinking the fundamentals. That’s why our founders—deeply rooted in academic and engineering excellence—have chosen carbon nanotubes as the building blocks of our quantum processors. This ultra-pure material dramatically reduces error rates, boosts performance, and minimizes hardware overhead—key ingredients for scalable, fault-tolerant quantum computing. By crafting a unique approach that scales, we aim to revolutionize quantum computing just as silicon transformed classical computing.
Since our founding, we’ve raised over €25 million in funding, published 11 scientific papers, and secured 8 patents. Today, our fast-growing team of 80+, including 25 PhDs, has over 26 nationalities represented. We have our own cutting-edge lab spaces in Paris' historic Panthéon district, where scientists, engineers, and innovators work side-by-side to tackle some of the most exciting technical challenges of our time.
If you're passionate about shaping the future of quantum technology and want to make a real impact, C12 offers a unique environment to grow, learn, and innovate.
Your role at C12:
You will lead the nano-assembly team, composed of 3 research engineers. You will help them develop and operate efficiently our nano-assembly setups for the transfer of ultra-pure carbon nanotubes onto our quantum processor microchips.
Responsibilities:
- Continuous improvement of our custom nano-assembly vacuum setups for increased throughput and yield
- Design and validation of mechanical, electrical and chemical processes to optimize the quality of the assembled qubits
- Working with the software team to improve our stack for control software, data storage and data analysis
- Analyze, summarize and present data
About You:
- You have at least 3 years of experience in R&D or a PhD in Electrical Engineering, Physics, Applied Physics, Materials Science or other related field
- You have some experience in managing R&D engineers and organizing their work
- You have some project management experience
- You have some experience in hardware and experimental setup design and fabrication
- You like collecting, organizing and analyzing your data
- You have experience in python for hardware control and data analysis
- You are detail-oriented and organized in your work and documentation style
- Good communication in English (oral and written)
Preferred Traits:
- Experience in semiconductors
- Experience with high vacuum systems
- Experience in materials characterization techniques (SEM, TEM, AFM, probe station)
- Experience in carbon nanotubes
What we offer:
- 72,000 - 81,000 euros yearly base salary
- Stock options for every employee (BSPCE/ESOP)
- Sponsored trip to conferences around the world
- A highly dynamic international team
- Swile meal vouchers
- Mental health support with moka.care
- Annual Learning & Development Allowance
- Sabbatical leave (after 2 years in the company)
- Vibrant office culture (two office spaces in the heart of Paris, team lunches, offsite events, Friday breakfasts..)
You should join us if...
- You like hands-on work and technology
- You want to contribute to achieving landmark results in quantum computing, making a difference in the emerging quantum technologies
- You want to work within a team of 80+ people with various backgrounds in nanofabrication, quantum electronics, and carbon nanotube science to create a revolutionary quantum computing processor
- You want to thrive in an exceptional scientific environment with several industrial and academic partners
- You share our values (excellence, scientific integrity, diversity, curiosity, and care) and want to help us define our product-focused culture and ambition to accelerate
We still encourage even if you don’t meet all the requirements. Rest assured, we are committed to finding the right fit for our team and are open to adjusting compensations based on skills and experiences.
Applications from women are especially welcomed!
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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