Zurich Instruments is a technology leader in advanced test and measurement instruments and in control electronics for quantum computing (QC). Our products consist of a deep stack of electronics and control software.
While real-time data processing inside the instruments has been key traditionally, the tight, low-latency integration with an environment of CPUs and GPUs gains great importance now. With the Data Transfer team, you lead a small group of proven experts accelerating this transition. You will directly report to our VP R&D.
Zurich Instruments is part of the Rohde & Schwarz Group.
- Lead our high-performance data path team, driving CPU/GPU integration for next-gen quantum computing instruments.
- Drive all aspects of people development in close collaboration with our HR team.
- Engage in architecture decisions for backend- and server-SW.
- Build engineering capability, manage technical debt and optimize delivery processes.
- Own delivery of features.
- Align with stakeholders, including product management, cross-functional agile development teams, or our Engineering Productivity team.
- MSc or PhD in Computer Science, Physics, Electrical Engineering, or related field.
- 3+ years leading a software engineering team, with strong communication and organizational skills.
- Broad C++ experience in a professional environment.
- Familiarity with networking protocols, and interfacing with firmware or specialized hardware.
- Experience with CUDA, Python, or Rust (Nice-to-have)
- Exposure to RDMA/RoCE, high-performance computing, or low-latency systems (Nice-to-have).
- Background in controlling lab equipment (Nice-to-have).
We offer a diverse work environment with an open and transparent company culture where personal development forms the basis of our success. We thrive on cooperation and support distributed decision-making that allows everyone to take responsibility and generate substantial impact from the start and on many levels.
Now is a great time to join the team.
We look forward to receiving your resume and motivation letter.
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.
