About 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 Rivian is seeking an entrepreneurial, hands-on senior contributor to build and scale our Enterprise AI solutions driving impact across Commercial Technology teams. As a Staff AI Engineer, you will design, build, and operate production-grade systems at the forefront of generative AI, partnering with leaders across the company to unlock transformative business value. You will set technical direction, build complex agentic solutions, and raise the engineering bar through architectural leadership, operational excellence, and pragmatic innovation with language models and machine learning. This position will be located in Palo Alto, CA and report to our Sr. Manager and Director of Software Engineering.
Responsibilities • Lead the technical design and hands-on development of prioritized AI applications, services, and platforms leveraging state-of-the-art LLM app stacks, retrieval-augmented generation, evaluation frameworks, and scalable serving. • Build a holistic view of AI investments by collaborating with engineering groups implementing AI in their domains, aligning patterns, reusing components, and avoiding duplication. • Drive continuous improvement in AI methodologies and best practices; evaluate emerging capabilities and land them as secure, production-grade systems. • Champion AI literacy, enablement, and adoption through demos, guidance, and technical leadership across the org. • Establish rigorous evaluation, guardrails, and monitoring practices; instrument offline and online metrics & telemetry to ensure quality, safety, and SLOs; improve performance based on data. • Optimize latency, throughput, and cost at scale; guide make/buy decisions and vendor integrations where appropriate.
Qualifications BS/MS in Computer Science or a related field, or equivalent experience. Practical software engineering experience building backend services, APIs, or data-intensive applications; strong foundations in algorithms, data structures, and systems. Exposure to or hands-on experience with LLM application concepts such as retrieval, grounding, prompt/agent design, function/tool use, evaluation, safety/guardrails, and cost/latency optimization.
Requirements • Proficiency with modern software delivery practices (version control, CI/CD, testing, observability); familiarity with cloud-native services and containerization. • Ability to collaborate with product and business partners; strong written and verbal communication skills. • Bias to ship, learn, and iterate; comfortable working in fast-evolving technology areas with incomplete information. • Demonstrated ownership of services or platform components, end-to-end delivery of cross-service initiatives, and contributions to reliability/SLOs and operational excellence.
Technical Skills • Strong proficiency with AWS (Lambda, API Gateway, S3, DynamoDB, IAM, ECS/EKS). • Deep understanding of database and storage paradigms (SQL, NoSQL, search engines). • Proficiency in one or more programming languages: Python, Typescript, Java, Go, C++, or Rust.
Preferred Qualifications • Deep technical knowledge in AI/ML, with hands-on experience building and deploying solutions using language models, retrieval/grounding, embeddings/vector search, and evaluation. • Strong familiarity with security, privacy, compliance, safety, and auditability for enterprise AI systems.
Pay Disclosure Salary Range for this role is $206,500 - $258,100 for California based applicants. This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee's position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, geographic location, shift, and organizational needs.
Benefits We offer a comprehensive package of benefits for full-time and part-time employees, their spouse or domestic partner, and children up to age 26, including but not limited to paid vacation, paid sick leave, and a competitive portfolio of insurance benefits including life, medical, dental, vision, short-term disability insurance, and long-term disability insurance to eligible employees. You may also have the opportunity to participate in Rivian's 401(k) Plan and Employee Stock Purchase Program if you meet certain eligibility requirements.
How to Apply You can apply for this role through careers.rivian.com (or through internal-careers-rivian.icims.com if you are a current employee). This job is not expected to be closed any sooner than April 6, 2026.
Equal Opportunity Rivian is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. 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.
Candidate Data Privacy Rivian 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.