Senior Software Engineer, Battery State Estimation

What you'll do

• Design and productionize robust battery state estimation algorithms for SOC, SOH, and SOP.
• Develop observers and filters using physics-based, model-based, and hybrid data-driven techniques.
• Implement estimation algorithms as production-quality embedded software in C/C++ following MISRA standards.
• Architect software for modularity and portability to enable reuse across multiple vehicle programs.
• Lead shift-left verification and technical root-cause analysis using MIL, SIL, and HIL test environments.
• Develop automated regression, robustness, and fault-injection test suites integrated into CI pipelines.
• Mentor other engineers and contribute to the evolution of the scalable battery estimation architecture.

What we're looking for

• Bachelor’s degree in Electrical, Mechanical, Chemical, or Computer Engineering, or Computer Science.
• Minimum 5 years of experience delivering embedded software for high-voltage battery systems or similar complex engineering systems.
• Strong proficiency in C/C++ for embedded systems development.
• Demonstrated hands-on production experience with SOC, SOH, and/or SOP estimation algorithms deployed in vehicles.
• Strong proficiency in MATLAB/Simulink and Python for modeling, analysis, automation, and Model-Based Development workflows.
• Demonstrated success executing software and controls feature verification in MIL, SIL, and HIL environments.
• Experience working in Agile/Scrum environments and cross-functional automotive programs.
• Proven experience leveraging battery data to generate insights for performance, reliability, and lifecycle characteristics.