Staff Software Engineer

About the role

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. Our Enterprise Software team powers the digital backbone behind Rivian’s supply chain, manufacturing, and operations. We build the systems that keep our factories running, parts flowing, and vehicles delivered on time from planning and production to logistics and supplier ecosystems. We’re looking for a Staff Software Engineer who is excited to build at the intersection of enterprise systems and AI.

Responsibilities

• Design and build scalable, cloud-native enterprise applications for supply chain and manufacturing operations.
• Lead complex technical initiatives from initial concept through to production.
• Build, test, and release mission-critical applications for both internal and external users.
• Design workflows, automation, and decision-support systems with an "AI-first" mindset.
• Partner with cross-functional teams, including Product, Operations, UX/UI design, and QA, to define features and roadmaps.
• Maintain high standards for architecture, testing, security, and performance through code and architecture reviews.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
• 5+ years of professional software engineering experience.
• Proficiency in modern languages such as Python, Go, or TypeScript.
• Experience with modern web frameworks like React, Angular, or Next.js.
• Experience working with relational databases like Postgres, MYSQL and NoSQL solutions for managing complex data at scale.
• Experience with AWS, Azure, or GCP alongside Docker and Kubernetes.
• Strong understanding of distributed architecture, event-driven systems, streaming platforms, and data pipelines.
• Skilled in using AI-powered coding tools (e.g., Copilot, Cursor, Claude Code).
• Experience with observability stacks like Grafana (LGTM), DataDog