Staff Software Engineer, Enterprise Services
Rivian · Palo Alto, CA | Irvine, CA | Atlanta, GA · Information Technology
About this role
Rivian is hiring a staff-level Software Engineer based in Palo Alto, CA | Irvine, CA | Atlanta, GA (hybrid). The posting calls out experience with Python, Java, C#, React and roughly 5+ years of relevant work. Listed education preference: a bachelor's degree or equivalent. Compensation is listed at $190,000–$258,100 per year.
- Role
- Software Engineer
- Function
- software engineering
- Level
- staff
- Track
- Tech leadership
- Location
- Palo Alto, CA | Irvine, CA | Atlanta, GA
- Work mode
- Hybrid
- Experience
- 5+ years
- Education
- Bachelor's degree
- Department
- Information Technology
- Posted
- Mar 16, 2026
More roles at Rivian
Job description
from Rivian careersAbout Rivian Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract. As a company, we constantly challenge what’s possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations. Role Summary Our Enterprise Software team builds the digital backbone that powers our global operations. We aren’t just "internal IT"—we are a product-centric engineering team dedicated to eliminating friction. You will design and build scalable, intelligent platforms that redefine the employee experience and automate service delivery across enterprise functions such as IT, HR, Finance, Facilities and beyond. This role will report to our Sr. Director, People System and will be located in Palo Alto, CA , Irvine, CA or Atlanta, GA. Responsibilities Architect Build: Lead the design and delivery of cloud-native, highly reliable enterprise services that support thousands of global users. AI-First Engineering: Architect workflows and decision-support systems that leverage LLMs and machine learning to…