Senior Rust Developer

We are looking for a highly skilled engineer with strong analytical capabilities and extensive experience in Rust or C++, and optionally Kotlin and Android development. You will play a key role in advancing EV calibration, machine learning models, and system integration across automotive platforms.

Job Responsibilities

EV Calibration & Modelling

• Develop and enhance EV calibration modules
• Improve and extend ML-based energy models and inference pipelines
• Integrate calibration and prediction modules into Android-based automotive and embedded platforms
• Advance drive simulation capabilities on test rigs and Android emulators

Software Engineering & Quality

• Conduct code reviews, performance benchmarking, and debugging
• Enhance test coverage, integrate unit tests, and systematically debug to resolve issues
• Develop and improve tools for KPI analysis, visualization, and performance monitoring
• Optimize applications to meet performance requirements (RAM, CPU, GPU, FPS, etc.)

Collaboration & Agile Practices

• Collaborate with cross-functional teams to integrate navigation, routing, and prediction modules into EV platforms
• Partner with product teams to create enablers and customer-specific solutions
• Translate customer use cases into tailored technical solutions
• Participate in Agile ceremonies (stand-ups, sprint planning, retrospectives, defect management)
• Stay up to date with advancements in EV routing, navigation systems, and predictive modelling

Job Requirements

• 8+ years in software development
• Experience with EV-related technologies (battery management, predictive analytics, navigation systems) is highly welcomed
• Extensive background in statistics and mathematics
• Proven expertise in Rust and Kotlin development (C++ experience is highly valued)
• Strong experience with gRPC-based services and distributed architectures
• Demonstrated expertise in State of Charge prediction using the Cerence Model or comparable AI/ML frameworks
• Hands-on experience with EV routing and navigation systems
• Advanced skills in data visualization and analysis (e.g., Matplotlib in Python or Rust plotting crates)
• Solid understanding of software engineering principles (SOLID, scalable and maintainable code)
• Proficiency with version control systems (Git)
• Domain knowledge in EV ecosystems: calibration, consumption modelling, predictive energy analytics
• Proficiency in English
• Excellent problem-solving abilities in fast-paced, agile environments
• Strong communication skills for presenting technical concepts, analyses, and visualizations to diverse stakeholders

Sounds interesting? Don’t hesitate and apply!