Senior Rust Developer – EV Calibration and Energy Modeling

Are you a highly skilled engineer with a passion for Rust, a knack for analytics and machine learning? 

Join a forward-thinking team shaping the future of electric vehicles through real-world innovation. You’ll have the opportunity to tackle high-impact engineering challenges – ranging from EV calibration to predictive energy modeling – with technologies like Rust, C++, Kotlin, and Android. In this role, you’ll not only advance cutting-edge automotive systems, but also elevate machine learning and embedded platforms that touch millions of users.

Requirements:

Must-Have:

• 8+ years of software development experience
• Deep expertise in Rust and/or C++ (Kotlin and Android experience is a strong advantage)
• Strong foundation in statistics and mathematics
• Experience with gRPC-based services and distributed architectures
• Proven background in State of Charge prediction using Cerence Model or similar AI/ML frameworks
• Hands-on experience with EV routing and navigation systems
• Advanced skills in data visualization and analysis (e.g., Matplotlib, Rust plotting tools)
• Strong command of software engineering best practices (e.g., SOLID, maintainable code)
• Proficiency in Git for version control
• Domain knowledge in EV ecosystems: calibration, consumption modeling, predictive energy analytics
• Fluent in English (written and verbal)
• Excellent problem-solving and presentation skills in fast-paced, agile environments

Nice-to-Have:

• Background with battery management systems, predictive analytics, or navigation technologies
• Familiarity with Android, and Kotlin development with integration into embedded automotive systems

Job responsibilities:

• Develop and evolve EV calibration modules
• Enhance ML-driven energy models and inference pipelines
• Integrate calibration and prediction tools into Android-based automotive & embedded platforms
• Improve drive simulation on test rigs and Android emulators
• Conduct code reviews, performance benchmarking, and systematic debugging
• Expand test coverage with unit tests and enhance toolsets for KPI analysis, visualization, and monitoring
• Optimize software to meet strict performance targets (RAM, CPU, GPU, FPS, etc.)
• Collaborate with cross-functional teams to integrate navigation, routing, and prediction modules
• Translate customer needs into tailored technical solutions
• Participate actively in Agile ceremonies—stand-ups, sprint planning, retrospectives, and defect tracking
• Stay ahead of innovations in EV routing, navigation, and predictive modeling