Team Leader Systems Software (80-100%)

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.

Your responsibilities

• 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.

Your profile

• 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).

Was wir bieten

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.