18 beste Stellen als machine learning python in kanton zürich – aktuell auf Personalsuche

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Principal Navigation Software Engineer

u-blox -
Thalwil, ZH

Jetzt bewerben

Details zur Stelle

Qualifikationen

MATLAB
Doktorat
Englisch
Elektrotechnik
Master
Analysefähigkeit
C++
Mentoring
Führungserfahrung
Sensoren
Python

Vollständige Stellenbeschreibung

Location City

Thalwil

Location Region

Location Country

United Kingdom

Role also available in

Chemnitz, Germany; Tampere, Finland

About u-blox

u-blox (SIX:UBXN) is a global leader in automotive, industrial, and consumer markets, driving innovation through our cutting-edge positioning and short-range communication technologies. We are the pioneers behind high-precision technologies, providing smart and reliable solutions that enable people, vehicles, and machines to determine their precise position and communicate wirelessly. With headquarters in Thalwil, Switzerland, and offices across Europe, Asia, and the USA, we are making a global impact.

Job Description

Principal Navigation Software Engineer

Technology Positioning – Advanced R&D

We are looking for a Principal Navigation Software Engineer to join our Technology Positioning team. In this role, you will contribute to the long‑term evolution of u‑blox positioning and PNT technologies, working at the intersection of GNSS positioning algorithms, system architecture, and advanced PNT concepts, spanning both mass‑market (SPG) and high‑precision (HPG) positioning domains.

This position is ideal for an experienced GNSS engineer who enjoys deep technical work while also contributing to technology strategy and future product directions across the u‑blox portfolio.

Your Role
As part of the Technology Positioning team, you will work on advanced positioning and PNT concepts that influence both short‑ and long‑term technology roadmaps. You will collaborate closely with GNSS signal processing teams, system architects, embedded software teams, and external research partners to bring new positioning technologies from concept stage into production‑ready solutions.

Depending on experience and seniority, the role can be shaped toward technical ownership of key algorithmic areas or broader technical leadership and cross‑team influence.

Your Responsibilities

Design and development of GNSS positioning engine algorithms for mass‑market and high‑precision resilient PNT applications.
Algorithm development and validation using Python / MATLAB, followed by implementation in embedded C/C++ for real‑time receiver environments.
Performance analysis using simulations, lab measurements, and real‑world data sets.
Exploration and prototyping of next‑generation positioning concepts, including high‑precision GNSS (RTK, PPP, PPP‑RTK), hybrid PNT, and multi‑layer positioning approaches.
Contribution to system‑level architecture, including interaction between measurement engine, positioning engine, sensors, and external aiding sources.
Close collaboration with R&D and product teams to support technology transfer from research into product development.
Technical documentation, internal knowledge sharing, and support for design reviews and architectural decisions.
Depending on seniority, mentoring of other engineers and technical leadership within selected focus areas.

Your Skills and Experience

MSc or PhD in Electrical Engineering, Signal Processing, Automation, Robotics, Computer Science, or an equivalent technical field.
Strong hands‑on experience with GNSS positioning engines, navigation and estimation algorithms, and performance analysis across embedded receiver systems.
Solid understanding of the interaction between measurement layer, positioning engine, and system architecture.
Proficiency in Python and/or MATLAB, with experience implementing algorithms in embedded C/C++.
Experience working with real GNSS measurement data and performance evaluation under challenging conditions.
Analytical, detail‑oriented mindset with a strong focus on quality and robustness.
Ability to communicate complex technical topics clearly in English.

Nice to Have

Experience with high‑precision GNSS techniques (RTK, PPP, PPP‑RTK).
Experience with mass‑market GNSS/SPG receiver architectures, including real‑time constraints, robustness trade‑offs, or large‑scale deployment considerations.
Exposure to resilient PNT, interference or spoofing mitigation, or integrity‑related topics.
Experience with sensor fusion, SLAM, computer vision.
Exposure to LEO‑PNT, SoOP, or hybrid PNT systems.
Semiconductor, GNSS SoC, or embedded receiver development experience.
Experience in technical leadership, mentoring, or cross‑team coordination.

What are your perks?

A multicultural and international company with over 60 different nationalities
Project-based activities working with colleagues across the globe
A start-up and innovation mindset while in the process of scaling-up processes and efficiencies
Hybrid working model & flexible working hours
A strong learning environment and regular career discussions
Company Performance Bonus
… and discover even more by talking with us!

Applications Close Date

Contact

Are you interested in this challenging position within an international work environment in a successful company? Apply now! You will be working with a motivated team in an exciting technology.

We are looking forward to receiving your application.

Jetzt bewerben

Erweiterte Suche

machine learning python Jobs in kanton zürich

Principal Navigation Software Engineer

Software Engineer III, ML Pipeline Development, XR

Senior Software Research Engineer

Senior Data Engineer

AI & Data Consultant – Tax and Legal Innovation

Lead Kernel Engineer/Architect

Pricing Aktuar Special Lines (m/w/d) 70-100%

Software Architect - Product Recommendations (w/m/d)

Senior Software Engineer - Distributed Systems

Quant Engineer - Capital Market Technologies

Tech Lead Manager, Freshness and Factuality, GeminiApp, DeepMind

DevOps Engineer /Deployment Manager

Data Architect mit einem Flair für AI

Senior (Gen)AI Engineer (all genders)

Mid / Senior SLAM Engineer

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Senior Machine Learning Engineer in Human-Centric Computer Vision

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