Salary
≈ $105k – $312k per year (Estimated)
Location
Hybrid (Zurich, Switzerland)
Seniority
Staff · 3+ years exp
Employment
Full-Time
Confirmed on the employer's own hiring board on Oct 29, 2026. First seen by Alion on Jun 24, 2026. Zurich Instruments scores B on the Alion truth index.
Overview
Company
Impact
Profile match
Headquartered in Zurich, Switzerland, Zurich Instruments is a test and measurement technology company specializing in high-precision scientific instrumentation. The firm develops advanced hardware and software solutions, including digital lock-in amplifiers, quantum computing control systems, and impedance analyzers. Its products enable cutting-edge research and industrial development across fields such as quantum technology, optics, photonics, and materials science.
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 PhDin 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).
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