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 We are seeking a dedicated and innovative Controls Engineer to join the Propulsion and Dynamics Controls team.

You will be responsible for developing and testing embedded software that scales across all our products, and delivers exciting vehicle performance while ensuring driver safety.

You will work closely with systems and test engineers to define requirements and integrate functionality across the full life cycle of core vehicle features, such as Regenerative Braking, Hill-Hold and Traction Control.

Responsibilities Develop and implement control algorithms for core vehicle-propulsion features Refactor and improve existing code to allow it to scale to new vehicle programs and powertrain platforms Collaborate with systems engineers to define requirements for software features Collaborate with Vehicle Dynamics engineers to optimize vehicle performance by iterating on software and calibration parameters Develop Python-based vehicle dynamics models for use in SiL (Software-in-the-Loop) and HiL (Hardware-in-the-Loop) testing environments Rigorously test control algorithms in simulated (SiL, HiL) and real-world environments before deployment Design and implement software diagnostics for component- and system-level failure modes Qualifications Minimum Bachelor of Science degree (Masters Preferred) in electrical engineering, mechanical engineering, software engineering, or related fields Background in classical and/or modern control theory; able to demonstrate a working knowledge of control theory principles (PID, stability analysis, cost function minimization, LQR, MPC) Minimum 1 year of hands-on engineering experience in automotive, aerospace or a similar industry Proficiency with Embedded C/C++ and Python

Experience: with firmware development tools and processes (e.g. git, Gtest)

Experience: with industry-standard automotive data-logging tools (Vector CANalyzer/CANape, Dewesoft or equivalent) Pay Disclosure

Salary: Range/Hourly Rate for Irvine, California Based Applicants: $107,000 - $133,700 USD (actual compensation will be determined based on experience, location, and other factors permitted by law).

The posted salary represents the lowest and highest ranges RV Tech reasonably and in good faith expects to pay for the position.

Any posted salary range pertains only to the estimated starting pay for the role.

Actual starting pay is based on a number of factors, including, but not limited to, the candidate’s experience, skillset, qualifications, specific competencies, relevant education, and location.

Total Rewards Total compensation packages for this position include base salary, eligibility for an annual performance bonus, and eligibility for equity.

In addition, our benefits package has been designed to support the health and wellness of our employees.

Benefit offerings include Flex Time Off, retirement savings plans as well as medical, vision and dental coverage.

For more information on RV Tech’s comprehensive benefits package for full-time employees, check out our Global Benefits Site.

External candidates can apply for this role through the RV Tech Careers site (https://rivianvw.tech/#careers).

If you are a current employee, please apply through our internal job board (https://internal-careers-rivian.icims.com/).

Equal Opportunity Rivian and Volkswagen Group Technologies is committed to creating a diverse environment and is proud to be an equal opportunity employer.

All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law.

We are also committed to ensuring compliance with all applicable fair employment practice laws regarding citizenship and immigration status.

Rivian and Volkswagen Group Technologies is committed to ensuring that our hiring process is accessible for persons with disabilities.

If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at candidateaccommodations@rivian.com.

Candidate Data Privacy Rivian and VW Group Technologies (“Rivian and Volkswagen Group Technologies”) may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes (“Candidate Personal Data”).

This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information.

Rivian and Volkswagen Group Technologies may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law.

Rivian and Volkswagen Group Technologies may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian and Volkswagen Group Technologies affiliates; and (iii) Rivian and Volkswagen Group Technologies’ service providers, including providers of background checks, staffing services, and cloud services.

Rivian and Volkswagen Group Technologies may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions.

Please see our Candidate Data Privacy Notice (English) and Candidate Data Privacy Notice (Serbian) for more information.

Please note this job posting represents an open, active vacancy.

Additionally, we are currently not accepting applications from third party application services.

Develop and implement control algorithms for core vehicle-propulsion features Refactor and improve existing code to allow it to scale to new vehicle programs and powertrain platforms Collaborate with systems engineers to define requirements for software features Collaborate with Vehicle Dynamics engineers to optimize vehicle performance by iterating on software and calibration parameters Develop Python-based vehicle dynamics models for use in SiL (Software-in-the-Loop) and HiL (Hardware-in-the-Loop) testing environments Rigorously test control algorithms in simulated (SiL, HiL) and real-world environments before deployment Design and implement software diagnostics for component- and system-level failure modes
Minimum Bachelor of Science degree (Masters Preferred) in electrical engineering, mechanical engineering, software engineering, or related fields Background in classical and/or modern control theory; able to demonstrate a working knowledge of control theory principles (PID, stability analysis, cost function minimization, LQR, MPC) Minimum 1 year of hands-on engineering experience in automotive, aerospace or a similar industry Proficiency with Embedded C/C++ and Python

Experience: with firmware development tools and processes (e.g. git, Gtest)

Experience: with industry-standard automotive data-logging tools (Vector CANalyzer/CANape, Dewesoft or equivalent)