Rivian currently has 8 active AI-related job listings. The majority of these roles, 50%, are focused on agents, with another 38% dedicated to serving infrastructure. Engineering is the primary function for these positions, with hiring concentrated in the United States and the United Kingdom. Frequent technology tags include model serving, inference infrastructure, and agent orchestration, suggesting a focus on deploying and managing AI models. In the last 30 days, Rivian has posted 4 new AI roles.
Rivian currently has 20 active AI-related roles in our index. The most common open titles are: Staff Software Engineer, ML Training and Inference Infrastructure (2), Data Annotation Specialist II, People Systems Solution Analyst, Product Manager, Facilities Technology, Senior Manager, Software Engineering - Enterprise Software. Most positions are in Engineering and Product.
Rivian's active AI hiring is concentrated in: serving infrastructure (45%), agents (40%), data (10%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Rivian is hiring AI talent in: United States (18 roles), United Kingdom (1 role), Serbia (1 role).
Job postings at Rivian most frequently mention: Quantization, Autonomous Driving, Machine Learning, Real-Time Systems, Robotics.
In the past 30 days, Rivian has posted 14 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Staff Machine Learning Engineer, End-to-End Autonomy Seeking a Staff Machine Learning Engineer to develop end-to-end models for autonomous driving, unifying perception, prediction, and planning. The role involves guiding the architecture, implementation, and deployment of the Large Driving Model (LDM), building large-scale training and evaluation pipelines, and collaborating with cross-functional teams to ensure real-world deployment constraints are met. Experience with foundation models, self-supervised learning, and transformer models is required. | AgentData | 9 |
| Lead, AI Product Engineer, Facilities Technology Lead AI Product Engineer to design, build, and deploy AI-powered products and workflows for Rivian's Facilities organization, using AI-native tools to automate manual processes and improve operational efficiency. This role involves end-to-end ownership from problem identification to deployment and value quantification, with a focus on speed and simplicity. |
| Agent |
| 8 |
| Sr. Controls & Active Safety Engineer, Autonomy This role focuses on developing and validating active safety features for autonomous vehicles by integrating AI-based algorithms into safety-critical systems. The engineer will design, implement, and optimize these systems, leveraging ML/AI for detection, prediction, and decision-making, and will work with data teams to ensure high-quality datasets for model development and validation. | Agent | 8 |
| Sr. Staff Engineer, Autonomy Triage Sr. Staff Engineer, Autonomy Triage at Rivian. This role focuses on owning the architecture and methodology for the L4 autonomy triage infrastructure, turning road data into actionable signals for improving the autonomy stack. It involves defining and owning the end-to-end triage pipeline, enhancing ground truth infrastructure, evaluating metric parity, and driving the roadmap for triage coverage. Requires deep familiarity with AV development, ML model development/deployment, and large-scale data engineering. | Agent | 7 |
| Staff Technical Program Manager, Autonomy Staff Technical Program Manager for Autonomy at Rivian, focused on driving cross-functional projects involving sense and compute HW, Perception & Pose (ML-reliant), Planning & Controls, Infrastructure & Simulation (ML training/validation), Systems Definition, Integration & Triage, to build an Autonomy product. Requires experience managing AI/ML components and data pipelines, hands-on experience with ML-based products, and evaluation with metrics-driven analysis. | Agent | 7 |
| Sr. Software Engineer, Enterprise Software Senior Software Engineer to build scalable, cloud-native enterprise applications for supply chain and manufacturing operations, with an AI-first mindset for designing workflows, automation, and decision-support systems. | Agent | 5 |
| Product Manager, Facilities Technology Product Manager for Facilities Technology at Rivian, focusing on the FacilitiesOS operating system. The role involves product development, system documentation, and leveraging AI tools to accelerate workflows and develop intelligent features. Responsibilities include defining requirements, documenting integrations, and partnering with engineering and data teams. Requires experience with AI coding tools and LLMs. | Agent | 5 |
| People Systems Solution Analyst This role focuses on enhancing and deploying People Systems, specifically Workday, by leveraging AI. Responsibilities include data integrity, building EIBs and reports, developing AI-driven data reconciliation and AI-augmented regression testing processes, evaluating new AI features, and partnering with HR teams to translate strategic priorities into system solutions. The role emphasizes automation and AI adoption within HRIS. | Agent | 5 |
| Senior Product Manager, Enterprise Software Senior Product Manager for Enterprise Software at Rivian, focusing on owning the strategy for critical Enterprise platforms, particularly in Supply Chain, Procurement, and Payments. The role involves driving the adoption of an "AI-first" framework, identifying and implementing Generative AI and ML applications to automate processes, optimize sourcing, and develop supplier insights. Responsibilities include cross-functional collaboration, resolving operational ambiguities, managing the product lifecycle, and creating data-driven frameworks for efficiency evaluation. | Agent | 5 |
| Autodesk Systems & Construction Technology Manager This role focuses on configuring and scaling Autodesk Construction Cloud (ACC) and implementing AI-driven solutions and agentic workflows to automate tasks and improve system capabilities. The role involves system ownership, documentation, training, and integration with broader digital ecosystems, with a significant portion of time dedicated to AI innovation. | Agent | 5 |