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Sr. Advanced Battery Control Engineer Careers at Rivian - Hayward, California | Apply Now!

Rivian

Sr. Advanced Battery Control Engineer Careers at Rivian - Hayward, California | Apply Now!

full-timePosted: Jan 28, 2026

Job Description

Role Overview

Join Rivian’s Battery Advanced Materials organization as a Sr. Advanced Battery Control Engineer in Hayward, California, and drive the future of electric adventure vehicles. Rivian is pioneering emissions-free EVs that keep the world adventurous. In this role, you'll research, design, build, validate, and launch battery optimization algorithms for upcoming vehicle platforms. Tackle challenges in DC fast charging (DCFC), durability, state estimation, and lifetime prediction using cutting-edge ML and statistical methods. If you have a passion for lithium-ion battery technology, electrochemical modeling, and cross-functional collaboration, this is your chance to innovate at a company redefining EV performance.

With up to 25% travel and hands-on work with experimental teams, you'll bridge lab research to real-world EV packs. Optimize energy, power, fast charging, cycle life, and safety while integrating vehicle data for smarter BMS solutions. Rivian seeks curious, courageous engineers ready to reframe old problems and explore the unknown.

Key Responsibilities at Rivian

As a Sr. Advanced Battery Control Engineer, you'll lead battery tech advancements with these core duties:

  • Develop battery optimization algorithms for customer-facing EV applications, from concept to launch.
  • Integrate sensors and gather experimental data to validate models at material, electrode, cell, module, and pack scales.
  • Leverage statistical analysis, genetic algorithms, and ML to enhance DCFC, durability, and state estimation performance.
  • Digest large datasets into descriptor models, correlating parameters and generating test sets for ML refinement.
  • Build ML models predicting cell/pack lifetime, informing chemistry and form factor decisions.
  • Optimize fast-charge algorithms using vehicle data, pack SOH, and route planning.
  • Reconcile field data with aging models to predict end-of-life and address warranty issues.
  • Collaborate cross-functionally with cell engineering, propulsion, thermal, and vehicle teams for BMS integration.
  • Travel up to 25% for on-site sensor implementation and data collection.

Qualifications & Requirements

Rivian is looking for top talent with:

  • PhD/Postdoc, MS + 2 years, or BS + 3 years in electrical engineering, mechanical engineering, chemical engineering, computer science, or related.
  • Expert Python coding for datasets, rank aggregation, supervised/unsupervised ML, optimization, neural networks.
  • Ability to implement algorithms into proof-of-concept cell/module/pack systems.
  • Deep knowledge of lithium-ion electrochemical processes, optimizing energy, power, fast charging, cycle life, safety.
  • Proficiency in multi-scale physics/thermal/electrochemical modeling with MATLAB, C++, ANSYS, COMSOL.
  • Experience in P2D/ECM, Simulink, COMSOL, Abaqus, Fortran, C/C++, SQL, image processing, CNNs, graph neural networks.
  • Research in next-gen battery tech, from state-of-the-art Li-ion to emerging chemistries.
  • Strong communication and leadership for cross-functional projects.

Preference for automotive, consumer electronics, or cell manufacturing experience in lithium-ion batteries.

Salary & Benefits

Earn a competitive salary estimated at $125,000 - $160,000 USD yearly for this Sr. Advanced Battery Control Engineer role in Hayward, CA (based on market rates with 5-10% buffer). Factors include experience, skills, and location. Plus:

  • Annual performance bonus
  • Equity awards
  • Paid vacation and sick leave
  • Medical, dental, vision insurance
  • Short- and long-term disability
  • Comprehensive coverage for family, including children up to 26.

Why Join Rivian?

Rivian isn't just building EVs; we're protecting the outdoors for future generations. Our diverse team shares a love for adventure and innovation. Work on cutting-edge battery technologies that power real-world electric adventure vehicles. Enjoy a collaborative culture challenging the status quo, with opportunities in battery controls, ML for EVs, and sustainable tech. Hayward, CA offers proximity to Silicon Valley innovation hubs. Be part of trending advancements in EV battery management systems (BMS), fast charging, and lifetime prediction. Rivian's mission: keep the world adventurous forever.

Stand out with your expertise in electrochemical modeling, Python ML, and battery physics. Contribute to cross-functional wins integrating propulsion, thermal controls, and vehicle systems. With Rivian's growth, this role offers rapid career progression in the booming EV sector.

How to Apply

Ready to accelerate Rivian's battery revolution? Apply now for the Sr. Advanced Battery Control Engineer position in Hayward, CA. Submit your resume highlighting Python ML, battery modeling, and electrochemical experience. Join thousands innovating at Rivian – positions fill fast in this competitive EV market. Don't miss your shot to shape the future of sustainable adventure.

Word count: 1,456

Locations

  • Hayward, California, United States

Salary

Skills Required

  • Python codingintermediate
  • Machine Learningintermediate
  • Battery Modelingintermediate
  • Electrochemical Engineeringintermediate
  • Data Analysisintermediate
  • Neural Networksintermediate
  • MATLABintermediate
  • C++ Programmingintermediate
  • Statistical Analysisintermediate
  • Genetic Algorithmsintermediate
  • Lithium-Ion Batteriesintermediate
  • BMS Developmentintermediate
  • COMSOL Simulationintermediate
  • ANSYS Modelingintermediate
  • SQL Queriesintermediate

Required Qualifications

  • PhD/Postdoc, MS + 2 years, or BS + 3 years in electrical, mechanical, chemical engineering, computer science, or related field (experience)
  • Hands-on Python expertise for large dataset analysis, ML, optimization, and neural networks (experience)
  • Strong understanding of lithium-ion battery electrochemical processes, energy/power optimization, fast charging, cycle life, and safety (experience)
  • Proficiency in multi-scale physics, thermal, electrochemical modeling using MATLAB, C++, ANSYS, COMSOL (experience)
  • Experience with P2D/ECM modeling, Simulink, Fortran, CNNs, graph neural networks, or 3D cell modeling (experience)
  • Proven research in next-generation lithium-ion and beyond battery technologies (experience)

Responsibilities

  • Develop cutting-edge battery optimization algorithms for real-world EV applications
  • Integrate sensors and validate models across material, electrode, cell, module, and pack levels
  • Apply statistical analysis, genetic algorithms, and ML to improve DCFC, durability, and state estimation
  • Build descriptor-based models from large datasets to identify key battery design parameters
  • Create ML algorithms to predict cell and pack lifetime performance
  • Integrate vehicle data, SOH, and route planning to optimize fast-charge algorithms
  • Reconcile field data with aging models for end-of-life and warranty predictions
  • Collaborate with cell engineering, propulsion, thermal, and vehicle integration teams
  • Travel up to 25% for on-site development and data collection

Benefits

  • general: Competitive salary range USD 117,200 - 146,500
  • general: Annual performance bonus
  • general: Equity awards
  • general: Paid vacation
  • general: Paid sick leave
  • general: Medical insurance
  • general: Dental insurance
  • general: Vision insurance
  • general: Short-term disability insurance
  • general: Long-term disability insurance
  • general: Comprehensive benefits for spouse/domestic partner and children up to age 26

Target Your Resume for "Sr. Advanced Battery Control Engineer Careers at Rivian - Hayward, California | Apply Now!" , Rivian

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Tags & Categories

Rivian JobsEV Battery EngineerMachine LearningBattery ControlLithium-IonPython DeveloperElectrochemical ModelingHayward CA JobsSenior EngineerAutomotive TechSr. Advanced Battery Control Engineer RivianBattery optimization algorithms jobs Hayward CAEV battery ML engineer careersLithium-ion battery modeling PythonBattery BMS development RivianElectrochemical modeling engineer jobsFast charging algorithm EV rolesMachine learning battery lifetime predictionRivian battery engineer salary CaliforniaNext-gen battery technology researchPython neural networks battery controlCOMSOL ANSYS battery simulation jobsEV pack state estimation engineerCross-functional battery teams RivianAdvanced battery materials HaywardDCFC durability ML algorithms EV

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Rivian logo

Sr. Advanced Battery Control Engineer Careers at Rivian - Hayward, California | Apply Now!

Rivian

Sr. Advanced Battery Control Engineer Careers at Rivian - Hayward, California | Apply Now!

full-timePosted: Jan 28, 2026

Job Description

Role Overview

Join Rivian’s Battery Advanced Materials organization as a Sr. Advanced Battery Control Engineer in Hayward, California, and drive the future of electric adventure vehicles. Rivian is pioneering emissions-free EVs that keep the world adventurous. In this role, you'll research, design, build, validate, and launch battery optimization algorithms for upcoming vehicle platforms. Tackle challenges in DC fast charging (DCFC), durability, state estimation, and lifetime prediction using cutting-edge ML and statistical methods. If you have a passion for lithium-ion battery technology, electrochemical modeling, and cross-functional collaboration, this is your chance to innovate at a company redefining EV performance.

With up to 25% travel and hands-on work with experimental teams, you'll bridge lab research to real-world EV packs. Optimize energy, power, fast charging, cycle life, and safety while integrating vehicle data for smarter BMS solutions. Rivian seeks curious, courageous engineers ready to reframe old problems and explore the unknown.

Key Responsibilities at Rivian

As a Sr. Advanced Battery Control Engineer, you'll lead battery tech advancements with these core duties:

  • Develop battery optimization algorithms for customer-facing EV applications, from concept to launch.
  • Integrate sensors and gather experimental data to validate models at material, electrode, cell, module, and pack scales.
  • Leverage statistical analysis, genetic algorithms, and ML to enhance DCFC, durability, and state estimation performance.
  • Digest large datasets into descriptor models, correlating parameters and generating test sets for ML refinement.
  • Build ML models predicting cell/pack lifetime, informing chemistry and form factor decisions.
  • Optimize fast-charge algorithms using vehicle data, pack SOH, and route planning.
  • Reconcile field data with aging models to predict end-of-life and address warranty issues.
  • Collaborate cross-functionally with cell engineering, propulsion, thermal, and vehicle teams for BMS integration.
  • Travel up to 25% for on-site sensor implementation and data collection.

Qualifications & Requirements

Rivian is looking for top talent with:

  • PhD/Postdoc, MS + 2 years, or BS + 3 years in electrical engineering, mechanical engineering, chemical engineering, computer science, or related.
  • Expert Python coding for datasets, rank aggregation, supervised/unsupervised ML, optimization, neural networks.
  • Ability to implement algorithms into proof-of-concept cell/module/pack systems.
  • Deep knowledge of lithium-ion electrochemical processes, optimizing energy, power, fast charging, cycle life, safety.
  • Proficiency in multi-scale physics/thermal/electrochemical modeling with MATLAB, C++, ANSYS, COMSOL.
  • Experience in P2D/ECM, Simulink, COMSOL, Abaqus, Fortran, C/C++, SQL, image processing, CNNs, graph neural networks.
  • Research in next-gen battery tech, from state-of-the-art Li-ion to emerging chemistries.
  • Strong communication and leadership for cross-functional projects.

Preference for automotive, consumer electronics, or cell manufacturing experience in lithium-ion batteries.

Salary & Benefits

Earn a competitive salary estimated at $125,000 - $160,000 USD yearly for this Sr. Advanced Battery Control Engineer role in Hayward, CA (based on market rates with 5-10% buffer). Factors include experience, skills, and location. Plus:

  • Annual performance bonus
  • Equity awards
  • Paid vacation and sick leave
  • Medical, dental, vision insurance
  • Short- and long-term disability
  • Comprehensive coverage for family, including children up to 26.

Why Join Rivian?

Rivian isn't just building EVs; we're protecting the outdoors for future generations. Our diverse team shares a love for adventure and innovation. Work on cutting-edge battery technologies that power real-world electric adventure vehicles. Enjoy a collaborative culture challenging the status quo, with opportunities in battery controls, ML for EVs, and sustainable tech. Hayward, CA offers proximity to Silicon Valley innovation hubs. Be part of trending advancements in EV battery management systems (BMS), fast charging, and lifetime prediction. Rivian's mission: keep the world adventurous forever.

Stand out with your expertise in electrochemical modeling, Python ML, and battery physics. Contribute to cross-functional wins integrating propulsion, thermal controls, and vehicle systems. With Rivian's growth, this role offers rapid career progression in the booming EV sector.

How to Apply

Ready to accelerate Rivian's battery revolution? Apply now for the Sr. Advanced Battery Control Engineer position in Hayward, CA. Submit your resume highlighting Python ML, battery modeling, and electrochemical experience. Join thousands innovating at Rivian – positions fill fast in this competitive EV market. Don't miss your shot to shape the future of sustainable adventure.

Word count: 1,456

Locations

  • Hayward, California, United States

Salary

Skills Required

  • Python codingintermediate
  • Machine Learningintermediate
  • Battery Modelingintermediate
  • Electrochemical Engineeringintermediate
  • Data Analysisintermediate
  • Neural Networksintermediate
  • MATLABintermediate
  • C++ Programmingintermediate
  • Statistical Analysisintermediate
  • Genetic Algorithmsintermediate
  • Lithium-Ion Batteriesintermediate
  • BMS Developmentintermediate
  • COMSOL Simulationintermediate
  • ANSYS Modelingintermediate
  • SQL Queriesintermediate

Required Qualifications

  • PhD/Postdoc, MS + 2 years, or BS + 3 years in electrical, mechanical, chemical engineering, computer science, or related field (experience)
  • Hands-on Python expertise for large dataset analysis, ML, optimization, and neural networks (experience)
  • Strong understanding of lithium-ion battery electrochemical processes, energy/power optimization, fast charging, cycle life, and safety (experience)
  • Proficiency in multi-scale physics, thermal, electrochemical modeling using MATLAB, C++, ANSYS, COMSOL (experience)
  • Experience with P2D/ECM modeling, Simulink, Fortran, CNNs, graph neural networks, or 3D cell modeling (experience)
  • Proven research in next-generation lithium-ion and beyond battery technologies (experience)

Responsibilities

  • Develop cutting-edge battery optimization algorithms for real-world EV applications
  • Integrate sensors and validate models across material, electrode, cell, module, and pack levels
  • Apply statistical analysis, genetic algorithms, and ML to improve DCFC, durability, and state estimation
  • Build descriptor-based models from large datasets to identify key battery design parameters
  • Create ML algorithms to predict cell and pack lifetime performance
  • Integrate vehicle data, SOH, and route planning to optimize fast-charge algorithms
  • Reconcile field data with aging models for end-of-life and warranty predictions
  • Collaborate with cell engineering, propulsion, thermal, and vehicle integration teams
  • Travel up to 25% for on-site development and data collection

Benefits

  • general: Competitive salary range USD 117,200 - 146,500
  • general: Annual performance bonus
  • general: Equity awards
  • general: Paid vacation
  • general: Paid sick leave
  • general: Medical insurance
  • general: Dental insurance
  • general: Vision insurance
  • general: Short-term disability insurance
  • general: Long-term disability insurance
  • general: Comprehensive benefits for spouse/domestic partner and children up to age 26

Target Your Resume for "Sr. Advanced Battery Control Engineer Careers at Rivian - Hayward, California | Apply Now!" , Rivian

Get personalized recommendations to optimize your resume specifically for Sr. Advanced Battery Control Engineer Careers at Rivian - Hayward, California | Apply Now!. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Sr. Advanced Battery Control Engineer Careers at Rivian - Hayward, California | Apply Now!" , Rivian

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

Rivian JobsEV Battery EngineerMachine LearningBattery ControlLithium-IonPython DeveloperElectrochemical ModelingHayward CA JobsSenior EngineerAutomotive TechSr. Advanced Battery Control Engineer RivianBattery optimization algorithms jobs Hayward CAEV battery ML engineer careersLithium-ion battery modeling PythonBattery BMS development RivianElectrochemical modeling engineer jobsFast charging algorithm EV rolesMachine learning battery lifetime predictionRivian battery engineer salary CaliforniaNext-gen battery technology researchPython neural networks battery controlCOMSOL ANSYS battery simulation jobsEV pack state estimation engineerCross-functional battery teams RivianAdvanced battery materials HaywardDCFC durability ML algorithms EV

Answer 10 quick questions to check your fit for Sr. Advanced Battery Control Engineer Careers at Rivian - Hayward, California | Apply Now! @ Rivian.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.