Senior Signal Processing Engineer - Noninvasive Wearable ML

Liom; Joch; On-site; CHF 150,000 - 210,000; Full time

Benefits offered by this job

Work/Life Balance

Diversity

Mentorship & Career Growth

Amazing team

Job summary

LIOM, a Swiss deep-tech company, seeks a Senior Signal Processing Engineer to advance non-invasive biomarker monitoring in a health smartwatch project. You will merge signal processing, system identification, and machine learning with experimental work and data from diverse domains.

The role demands strong academic credentials and 3+ years industry experience, plus expertise in Python and C/C++ or Rust. A dynamic startup environment with a focus on health and well-being is offered.

Qualifications

• Master's/PhD in Engineering, Science, or Mathematics with strong background in signal processing, system identification, and control theory.
• 3+ years applying signal processing, control theory, and system identification, preferably in low-SNR settings.
• Strong mathematical background in signal processing, system identification, statistics and ML theory.
• Ability to digest scientific literature across cross-disciplinary domains.
• 3+ years writing software in Python and one compiled/typed language (C/C++, Rust).
• 3+ years of experience in industry or applied environments.

Responsibilities

• Develop methods to optimize SNR and identifiability of measurements by combining signal processing and ML techniques.
• Collaborate with experimental and ML experts to build solutions for a continuous non-invasive multi-biomarker smartwatch.

Skills

Signal processing

System identification

Control theory

Python programming

C/C++

Rust

Mathematics / statistics

Literature review

Education

Master's / PhD in Engineering, Science, or Mathematics

Tools

Python

C/C++

Rust

PyTorch

Job description

LIOM, a Swiss deep-tech company, seeks a Senior Signal Processing Engineer to advance non-invasive biomarker monitoring in a health smartwatch project. You will merge signal processing, system identification, and machine learning with experimental work and data from diverse domains.

The role demands strong academic credentials and 3+ years industry experience, plus expertise in Python and C/C++ or Rust. A dynamic startup environment with a focus on health and well-being is offered.