Principal AI Engineer at ATN

Switzerland, Manitoba, Switzerland -

Full Time

Start Date

Immediate

Expiry Date

23 Nov, 26

Salary

0.0

Posted On

25 Aug, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Industry

Information Technology & Services

Description

ResponsibilitiesLead the design, development and optimisation of AI/ML algorithms for automotive battery applications
Develop algorithms for State of Charge (SoC), State of Health (SoH), State of Power (SoP), State of Energy (SoE) and battery degradation prediction
Develop predictive models for battery ageing, remaining useful life and performance degradation
Work with large-scale battery datasets, including voltage, current, temperature, impedance and charging/discharging profiles
Apply machine learning, deep learning, statistical modelling and signal-processing techniques to complex battery data
Develop and validate algorithms using both real-world vehicle data and laboratory/test-bench datasets
Translate research concepts and prototypes into robust, scalable and production-ready algorithms
Define algorithm architectures, modelling approaches and validation methodologies
Work closely with embedded software teams to support the deployment of algorithms into automotive systems
Analyse algorithm performance and continuously improve accuracy, robustness and computational efficiency
Contribute to technical roadmaps and the strategic direction of AI-driven battery intelligence
Mentor engineers and provide technical leadership across AI, algorithms and battery analytics
Collaborate with OEMs, Tier 1 suppliers and internal engineering teams to understand technical requirements and translate them into algorithmic solutions

RequirementsExtensive experience in AI/ML algorithm development, ideally within automotive, energy storage or battery applications
Strong understanding of lithium-ion batteries, battery management systems (BMS) and battery degradation mechanisms
Proven experience developing algorithms for battery SoC, SoH, SoP, SoE or Remaining Useful Life (RUL)
Strong knowledge of machine learning and statistical modelling techniques
Experience working with time-series data and large, complex engineering datasets
Strong Python programming skills and experience with relevant ML/data science frameworks
Experience with MATLAB/Simulink or similar modelling and simulation environments
Understanding of automotive development processes and the challenges of deploying AI algorithms in production vehicles
Strong analytical and problem-solving skills, with the ability to translate complex engineering problems into practical algorithmic solutions
Experience leading technical projects or mentoring other engineers
Masters or PhD in Computer Science, Electrical Engineering, Automotive Engineering, Mathematics, Physics or a related technical discipline

How To Apply:

Incase you would like to apply to this job directly from the source, please click here

Responsibilities