Senior Software Systems, Battery Algorithms Engineer

About Us

Rivian and Volkswagen Group Technologies is a joint venture between two industry leaders with a clear vision for automotive’s next chapter. From operating systems to zonal controllers to cloud and connectivity solutions, we’re addressing the challenges of electric vehicles through technology that will set the standards for software-defined vehicles around the world.

The road to the future is uncharted. By combining our expertise across connectivity, AI, security and more, we’ll map a new way forward. Working together, we’ll create a future that’s more connected, more intelligent, more sustainable for everyone.

Role Summary

As a Senior Battery Algorithms Engineer at RV Tech (RVT), you will contribute to electric vehicle (EV) technology that serves both Rivian and Volkswagen Group programs. You will develop and optimize algorithms for our electric vehicle battery and high voltage (HV) systems, including battery management systems (BMS), battery thermal controls, battery charging, and HV power distribution. This position requires a deep understanding of battery modeling, state estimation, control strategies, optimization, and software implementation and validation to ensure the performance, safety, and longevity of our electric vehicles.

Total Rewards

We build the exceptional — and we believe the people doing that work should be rewarded accordingly. In addition to a competitive base salary, full-time positions may be is eligible to participate in our annual company performance bonus program.

Payments are discretionary and not guaranteed; actual amounts depend on company results and the terms of the plan in effect, and require active employment at the time of payout. This role is also eligible for equity in the form of Restricted Stock Units (RSUs), subject to board approval and the terms of our equity incentive plans, including applicable vesting requirements.

In addition to our compensation programs, we invest in our people with a comprehensive benefits package designed to support the health, wellbeing, and financial future for full-time employees — including health coverage, retirement savings, time off, and family planning programs. Offerings vary by country. Learn more about our global benefit programs .

External candidates can apply for this role through the Rivian and Volkswagen Group Technologies careers site ( https://rivianvw.tech/#careers ). If you are a current employee, please apply through our internal job board .

Responsibilities

Design and implement algorithms that accurately estimate battery states, including SOC, SOH, and SOP, for a range of EV characteristics, battery pack configurations, and cell chemistries.; Develop battery thermal control algorithms, including pack thermal management, preconditioning, and thermal limits during driving and charging that protect battery life.; Develop battery charging algorithms, including AC charging and DC fast charging strategies, charge current limits, and charge time estimation.; Develop HV power distribution algorithms, including power and energy budgeting for HV consumers that optimizes vehicle range and performance.; Create software requirements and traceable software test cases from high-level user stories and vehicle-level system requirements, and collaborate with the vehicle system and control teams to integrate battery algorithms into the overall EV system design.; Work with test engineers to automate these test cases across unit, MIL, SIL, HIL, pack, and vehicle testing.; Use simulation and fleet data to monitor, analyze, and continuously improve algorithm performance against program targets and user experience.; Work with the cell engineering team to incorporate cell-level data and models of different chemistries into algorithm development.

Requirements

M.S. with 5+ years or Ph.D. with 3+ years of relevant industry experience, or B.S. with 8+ years, in Electrical, Mechanical, or Chemical Engineering, Computer Science, or a related field.; Proven experience in battery algorithm development, modeling, and simulation, preferably within the electric vehicle industry.; Strong foundation in control theory, state estimation (e.g., Kalman filtering), and optimization.; Knowledge of battery thermal management, EV charging (AC and DC fast charging), and HV power distribution.; Experience writing software requirements and traceable test cases from system requirements and user stories.; Experience with model-based design methodologies, such as MATLAB/Simulink, for developing and validating battery algorithms.; C and Python coding experience, including production-quality C on real-time embedded hardware and Python for analysis, tooling, and automation.; Awareness of functional safety concepts and ISO 26262.; Experience with agentic AI tools and workflows, such as using AI coding agents to accelerate algorithm development, testing, and data analysis.; Strong problem-solving skills and the ability to work well in a collaborative team.; Clear communication of complex technical concepts to diverse audiences.