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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.

Auto-generated from active job postings · last refreshed 2026-05-24

Frequently asked questions

  • What AI roles is Rivian hiring for?

    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.

  • What stage of AI development does Rivian focus on?

    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.

  • Where is Rivian hiring AI talent?

    Rivian is hiring AI talent in: United States (18 roles), United Kingdom (1 role), Serbia (1 role).

  • What skills does Rivian look for in AI roles?

    Job postings at Rivian most frequently mention: Quantization, Autonomous Driving, Machine Learning, Real-Time Systems, Robotics.

  • How many AI roles has Rivian posted recently?

    In the past 30 days, Rivian has posted 14 new AI-related roles.

Jobs (12)

13 AI · 468 total active
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Active onlyAI only (≥ 7)
Stage
AllData · 3Serve · 9Agent · 10Ship · 1
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AllEngineering · 336Product · 157
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AllUnited States · 824Serbia · 28Canada · 14United Kingdom · 12Sweden · 7Mexico · 4Germany · 2Australia · 1China · 1Netherlands · 1
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TitleStageFunctionLocationFirst seenAI score
Staff Software Engineer, ML Training and Inference Infrastructure
Staff Software Engineer focused on ML training and inference infrastructure for perception systems in autonomous driving vehicles. Responsibilities include optimizing performance of deep learning training on GPUs and optimizing inference latency on onboard systems, with a focus on transformer architectures. Requires deep knowledge of PyTorch and experience with large-scale distributed training.
ServePost-trainEngineeringLondon, United KingdomJun '258
Staff Software Engineer, Middleware, Autonomy——United KingdomJan 15—
Staff Software Engineer——London, United KingdomDec '25
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Tech Lead Manager, Machine Learning - Perception——London, United KingdomJun '25—
Staff Software Engineer, Perception, Autonomy——London, United KingdomJun '25—
Tech Lead Manager, Machine Learning - Perception——London, United KingdomJun '25—
Senior Machine Learning Engineer, Perception——London, United KingdomJun '25—
Senior Machine Learning Engineer, Perception——London, United KingdomJun '25—
Staff Software Engineer, ML Training and Inference Infrastructure——London, London, United KingdomJun '25—
Senior Machine Learning Engineer, AI Infrastructure, Autonomy——London, United KingdomJun '25—
Senior Staff Software Engineer, Perception, Autonomy——London, United KingdomJun '25—
Senior Machine Learning Engineer, AI Infrastructure, Autonomy——London, London, United KingdomJun '25—