Job
- Level
- Senior
- Job Field
- Data, Embedded
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- from 55.000 € Gross/Year
- Location
- Graz
- Working Model
- Onsite
Job Summary
In this position, you develop algorithms for position estimation, implement modern estimation techniques, and train machine learning models to enhance robustness and sensor fusion for automotive systems.
Job Technologies
Your role in the team
- At Easelink, you develop algorithms that take our UWB-based positioning to the next level.
- Design, modeling, and development of algorithms for position, motion, and state estimation.
- Use of modern estimation methods (e.g., UKF, EKF)
- Sensor fusion of UWB, IMU, vehicle systems, and camera data
- Development of ML methods for compensating multipath, shadowing, and dynamic environments
- Training and validation of models for robustness enhancement and error handling
- Integration of ML models for embedded inference on automotive control units
- Implementation of functions on ECUs considering computational load, memory, and real-time requirements.
- Ensuring operational stability in vehicle operation (temperature, EMC, reflections, etc.)
- Development of test strategies
- Development and further enhancement of SIL/HIL simulations
- Analysis of extensive measurement data as well as performance benchmarking
- Documentation and creation of technical specifications
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Our expectations of you
Education
- Degree in Computer Science, Electrical Engineering, Robotics, Physics, Mathematics, or similar.
Qualifications
- Deep knowledge of nonlinear filter theory (UKF, EKF, particle filters)
- Excellent knowledge of C (Embedded) and Python (Prototyping, Data Analysis)
- Know-how in UWB systems (ToF, TDoA, AoA or related radio frequency methods)
- Analytical, precise, and solution-oriented personality
- Structured, autonomous working style
- Team-oriented and strong communication skills
Experience
- Several years of experience in localization, tracking, or sensor fusion.
- Proven experience with Machine Learning
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Benefits
Work-Life-Integration
- 🅿️Employee Parking Space
- 🏠Home Office
- ⏰Flexible Working Hours
- 🙅♂️No All-In Contracts
- 🕺No Dresscode
- 🚌Excellent Traffic Connections
Health, Fitness & Fun
Food & Drink
More net
Job Locations
Topics that you deal with on the job
This is your employer
Easelink
Graz, Graz
At Easelink, we are a rising high-tech company with over 35 employees and our headquarters in Graz. We have set out to propel the worldwide use of electric vehicles through our revolutionary Matrix Charging® technology. This is the first automated conductive charging system that combines scalability, user friendliness and high charge performance – without needing any moving parts outside of the vehicle.
Description
- Company Size
- 1-49 Employees
- Founding year
- 2016
- Language
- German, English
- Company Type
- Startup
- Working Model
- Hybrid, Onsite
- Industry
- Vehicle Manufacturing, Supplier, Electronics, Automatization, Science, Research
Dev Reviews
by devworkplaces.com
Total
(2 Reviews)Workingconditions
4.4Culture
4.3Engineering
3.6Career Growth
4.0
Senior Expert Algorithm Development and Machine Learning
- Salary
- from 55.000 € Gross/Year
- Location
- Graz
- Working Model
- Onsite
