Team Lead, High-Performance Data Path—CPU/GPU for QC

Zurich Instruments AG

Zürich

Vor Ort

CHF 140.000 - 190.000

Vollzeit

Vor 8 Tagen

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Zusammenfassung

Zurich Instruments AG is seeking a Team Leader Systems Software to drive the data path with CPU/GPU integration for next‑gen quantum instruments. You will lead a small expert team and report to the VP R&D, shaping backend and server software architecture while collaborating with product management and agile teams.

The role requires a Master’s degree and 3+ years of team leadership, strong C++ skills, and knowledge of networking, with CUDA/Python/Rust as nice-to-have capabilities.

Qualifikationen

  • 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 hardware.
  • Experience with CUDA, Python, or Rust (nice to have).
  • Exposure to high-performance computing, RDMA/RoCE, or low-latency systems (nice to have).

Aufgaben

  • Lead high-performance data path team, driving CPU/GPU integration for next-gen instruments.
  • Drive people development in collaboration with HR.
  • Engage in architecture decisions for backend- and server-SW.
  • Build engineering capability, manage technical debt and optimize delivery processes.
  • Own delivery of features and align with stakeholders across teams.

Kenntnisse

C++
Networking protocols
CUDA
Python
Rust
RDMA/RoCE
Lab equipment control
Team leadership
Communication

Ausbildung

Master’s degree (CS/Physics/Engineering)

Jobbeschreibung

Zurich Instruments AG is seeking a Team Leader Systems Software to drive the data path with CPU/GPU integration for next‑gen quantum instruments. You will lead a small expert team and report to the VP R&D, shaping backend and server software architecture while collaborating with product management and agile teams.

The role requires a Master’s degree and 3+ years of team leadership, strong C++ skills, and knowledge of networking, with CUDA/Python/Rust as nice-to-have capabilities.

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