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.

Responsibilities AI Engineering: Support development of AI-powered automation agents that integrate with cloud services, ticketing systems, and messaging platforms.

Work with LLM APIs (Vertex AI, Bedrock), prompt engineering, and conversational AI pipelines.

Internal Tooling Development: Contribute to full-stack internal applications for cloud access management and developer workflows.

Work on CLI tools, database migrations, API development, and frontend features.

Technologies: TypeScript, Python, AWS Lambda, DynamoDB/PostgreSQL.

Cloud Infrastructure (GCP primary, AWS secondary): Lead GCP project automation via Terraform and Atlantis Git Ops workflows, manage GCP IAM, org policies, service account provisioning, and API enablement.

Support AWS operations including account management, IAM/SSO configuration, VPC networking, and DNS management (Route53) as needed.

Qualifications Pursuing or recently completed a degree in Computer Science, Software Engineering, or related field.

Programming experience in Python and/or TypeScript Solid understanding of Cloud Principles, AWS/GCP Familiarity with Linux and command-line tools Strong problem-solving skills and willingness to learn Proficient in English (written and verbal)

Preferred Qualifications:

Experience: with Terraform and Infrastructure as Code for GCP Exposure to CI/CD pipelines (GitLab CI, GitHub Actions) Familiarity with GCP Workload Identity Federation and org-level policies

Experience: with Google Workspace APIs (Sheets, Drive, Calendar, Gmail) Interest in AI/ML, particularly LLMs and conversational AI (Vertex AI, Gemini) Familiarity with containerization (Docker, Kubernetes/GKE) Basic AWS knowledge (IAM, S3, Lambda, VPC) is a plus

Experience: with REST APIs and web application development Learning opportunity: GCP project lifecycle management and Terraform automation at enterprise scale Operating multi-cloud infrastructure across 100+ AWS accounts and GCP projects Building and maintaining developer tooling used daily by engineering teams Working with cutting-edge AI technologies (LLMs, voice agents, NLP pipelines) Terraform/Atlantis Git Ops workflows for infrastructure deployment Enterprise security practices (GCP org policies, AWS SSO/IAM, least-privilege networking) Pay Disclosure We offer a competitive compensation package, with details to be discussed during the interview process.

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.

Rivian is committed to ensuring that our hiring process is accessible for persons with disabilities.

If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at candidateaccommodations@rivian.com.

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.

Rivian may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law.

Rivian may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian affiliates; and (iii) Rivian’s service providers, including providers of background checks, staffing services, and cloud services.

Rivian may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, the United Kingdom, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions.

Please note that we are currently not accepting applications from third party application services.
AI Engineering: Support development of AI-powered automation agents that integrate with cloud services, ticketing systems, and messaging platforms.

Work with LLM APIs (Vertex AI, Bedrock), prompt engineering, and conversational AI pipelines.

Internal Tooling Development: Contribute to full-stack internal applications for cloud access management and developer workflows.

Work on CLI tools, database migrations, API development, and frontend features.

Technologies: TypeScript, Python, AWS Lambda, DynamoDB/PostgreSQL.

Cloud Infrastructure (GCP primary, AWS secondary): Lead GCP project automation via Terraform and Atlantis Git Ops workflows, manage GCP IAM, org policies, service account provisioning, and API enablement.

Support AWS operations including account management, IAM/SSO configuration, VPC networking, and DNS management (Route53) as needed.

Pursuing or recently completed a degree in Computer Science, Software Engineering, or related field.

Programming experience in Python and/or TypeScript Solid understanding of Cloud Principles, AWS/GCP Familiarity with Linux and command-line tools Strong problem-solving skills and willingness to learn Proficient in English (written and verbal)

Preferred Qualifications:

Experience: with Terraform and Infrastructure as Code for GCP Exposure to CI/CD pipelines (GitLab CI, GitHub Actions) Familiarity with GCP Workload Identity Federation and org-level policies

Experience: with Google Workspace APIs (Sheets, Drive, Calendar, Gmail) Interest in AI/ML, particularly LLMs and conversational AI (Vertex AI, Gemini) Familiarity with containerization (Docker, Kubernetes/GKE) Basic AWS knowledge (IAM, S3, Lambda, VPC) is a plus

Experience: with REST APIs and web application development Learning opportunity: GCP project lifecycle management and Terraform automation at enterprise scale Operating multi-cloud infrastructure across 100+ AWS accounts and GCP projects Building and maintaining developer tooling used daily by engineering teams Working with cutting-edge AI technologies (LLMs, voice agents, NLP pipelines) Terraform/Atlantis Git Ops workflows for infrastructure deployment Enterprise security practices (GCP org policies, AWS SSO/IAM, least-privilege networking)