2 days ago
Base Salary
$107k - $169k/yr
Responsibilities
- Design and deploy agentic AI workflows and LLM-powered systems for documentation auditing, requirements generation, technical knowledge retrieval, and other engineering tasks.
- Develop and maintain ETL pipelines, knowledge graphs, vector databases, and other AI-ready data structures across siloed engineering systems.
- Lead rapid AI trials from concept through functional prototype to evaluate labor-saving solutions.
- Transform prototypes into robust, performant, scalable enterprise systems.
- Define and monitor quantitative AI performance measures including accuracy, grounding, latency, and cost.
- Identify manual engineering workflows and implement AI-driven automations to improve product development efficiency and productivity.
Requirements
- Bachelor’s, master’s, or PhD in Computer Science, Electrical Engineering, Mechanical Engineering, Materials Science, Physics, Mathematics, or another quantitative field.
- Ideally 4–6+ years of experience building production data pipelines and developing AI/ML solutions; LLM-based application experience is preferred.
- Strong experience with repository context engineering, AI-native IDEs and terminals, agentic loop optimization, and AI coding quality and technical debt mitigation.
- Hands-on experience or deep academic exposure to LLM orchestration, RAG, agentic frameworks, context engineering, grounding, evaluation, and cost/latency optimization.
- Ability to construct statistical validation tests, establish tolerance thresholds, and track AI output distributions.
- Experience with Git, eval-driven CI/CD pipelines, probabilistic AI validation, deployment, and end-to-end production system ownership.
- Knowledge of high-throughput storage systems, containerized harness orchestration, security, and sandbox environments.
- Ability to extract, clean, and structure unstructured technical documents, requirements, and engineering specifications.
- Prior experience with physical engineering systems such as hardware, IoT, or telemetry.
- Strong problem-solving, written and verbal communication, cross-functional collaboration, and willingness to learn new technologies.
- Preferred experience with Neo4j, knowledge graphs, Pinecone, advanced statistics, machine learning methods, user-facing applications, Spark, Databricks, GCP, or DBT.
Benefits
- Comprehensive benefits are available to eligible full-time and part-time employees, spouses or domestic partners, and children up to age 26.
- Benefits include paid vacation, paid sick leave, life, medical, dental, vision, short-term disability, and long-term disability insurance.
- Eligible employees may participate in Rivian’s 401(k) Plan and Employee Stock Purchase Program.
- Full-time employee coverage begins on the first day of employment; part-time coverage begins the first of the month after 90 days.
- Annual performance bonus and equity awards may be available.
- Applications are expected to remain open no sooner than October 20, 2026.
Tech Stack
Categories
About Rivian
Rivian designs and manufactures electric vehicles, including the R1T pickup, R1S SUV, and commercial delivery vans, selling directly to consumers and fleet operators. Founded in 2009 and headquartered in Irvine, California, it operates a manufacturing plant in Normal, Illinois, and is publicly traded on NASDAQ. The company also develops in-vehicle software and electrical architecture and offers charging and service support for its owners.