Complier Engineer

microTECH Global Ltd; Zürich; Hybrid; CHF 85’000 - 120’000; Vollzeit

Zusammenfassung

A leading company is seeking a Compiler Engineer in Zürich to tackle neural network design and algorithm optimization tasks. This position offers hybrid working arrangements, allowing employees to balance onsite presence with remote work. Candidates should possess robust experience in embedded systems and programming languages like C, C++, and Python. Join now and advance your career with exciting challenges in technology and innovation.

Qualifikationen

• Experience with Intermediate Representation Execution Environment or similar frameworks.
• Strong foundation in microcontrollers, especially ARM Cortex-M and RISC-V.
• Familiarity with DSP algorithms and optimized signal processing.

Aufgaben

• Design and implement neural networks.
• Optimize algorithms for performance and efficiency.
• Programming for embedded systems and edge computing.

Kenntnisse

C

C++

Python

Neural Network Design

Algorithm Optimization

Digital Signal Processing

Tools

IREE

TVM

Make

CMake

Git

Jobbeschreibung

Our client is looking for a Complier Engineer to join them at their Zurich site, if you are looking for a new challenge apply now!

Hybrid working available, 3 days onsite and 2 days Working from home!

Responsibilities & Required Skills :

• Required experience with Intermediate Representation Execution Environment (IREE), Tensor Virtual Machine (TVM), or similar frameworks.
• Experience with neural network design and implementation.
• Embedded systems and edge computing, highlighting practical applications.
• Experience with algorithm optimization techniques to enhance performance and efficiency.
• Embedded systems programming, particularly with a strong foundation in microcontrollers, including ARM Cortex-M and RISC-V architectures.
• C, C++, and Python, for versatile development capabilities.
• Demonstrated expertise in essential software build systems (Make, CMake) and proficiency in version control tools (Git) for collaborative and scalable development.
• Familiarity with Digital Signal Processing (DSP) algorithms, and practical experience with DSP processors and libraries (e.g., Basic Linear Algebra Subprograms (BLAS)) for optimized signal processing solutions.