Rivian
From Rivian's careers page
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As a company, we constantly challenge what’s possible, never simply accepting what has always been done.
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's Autonomy org needs a Staff Software Engineer, Cloud Infrastructure to join the Cloud Infra team in the AI Platform organization. This role brings deep cloud and data engineering expertise to Rivian's ADAS team, working directly with technical and business stakeholders to build, test, and release complex, mission-critical infrastructure services on AWS, GCP or Multi Cloud. This candidate needs to have a very good understanding of the Cloud Data Platform and Data/ML Ops processes that helps to build, test, and release complex mission critical infrastructure services for Rivian's Autonomy team on multi cloud. In this role You'll work with the AI Platform, Perception, Planning, Simulation, and Vehicle Integration, Product Management, and other technology partners to leverage best practices and reference architectures highlighting AWS/Multi Cloud Platforms and Data/Dev/ML Ops practices. Responsibilities Lead, build, test and release complex mission-critical infrastructure services for Rivian's Autonomy team on cloud and/or on-prem. Setup fault tolerant multi-region environments for data operations and data applications. Own CI/CD pipeline for apps and data projects. Define on-call strategy and participate in on-call rotations. Make developers' lives smooth via automated workflows. Build and optimize highly reliable, scalable, and distributed infra using microservice architecture. Collaborate with the security & privacy team to perform audits and mitigate any findings. Collaborate with cross-functional Autonomy teams for development and integrations. Cost optimization in AWS or GCP across multiple accounts and services. Qualifications 5+ Yrs. of software engineering or in ML/Dev/Data Ops role. 5+ Yrs. Experience authoring, scaling, and managing production infrastructure. 5+ Yrs. Experience with Kubernetes, cloud CI/CD tools, and core cloud services across compute, storage, networking, identity, and secrets management (e.g., AWS EKS/ECS/S3/Lambda/RDS/Systems Manager/Secrets Manager/CloudTrail, Azure AKS/Blob Storage/Functions, or GCP GKE/Cloud Storage/Cloud Functions). 5+ Yrs. Infrastructure as Code and configuration management (Terraform, Pulumi, AWS CloudFormation, or AWS CDK). 5+ Yrs. Experience monitoring applications across cloud environments using Datadog, Prometheus, or native tools such as AWS CloudWatch, or Google Cloud Operations. 5+ Yrs. Experience debugging production systems and performing RCA on incidents. 3+ Yrs. Hands-on with Python, Go, or Java, plus Git-based tooling (GitLab, GitHub, or similar) for automation. 2+ Yrs. of CI/CD and/or GitOps patterns (using GitLab, Jenkins, Argo CD, or similar). 2+ Yrs. Microservice-oriented architectures (using Kubernetes, container orchestration on any major cloud, or Docker Swarm). 2+ Yrs. Knowledge of Agile development of accessible software tools. Linux internals, networking, and distributed computing are a plus. AWS or GCP certification, or a Cloud Native (CNCF) certification, is a plus. Pay Disclosure The salary range for this role is $206,500-$258,100 for San Francisco Bay Area 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. 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. Full-time employee coverage is effective on their first day of employment. Part-time employee coverage is effective the first of the month following 90 days of employment. More information about benefits is available at rivianbenefits.com. 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 and Technology 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. How We Use AI in Our Hiring Process: To ensure transparency, we want candidates to know that Rivian uses iCIMS Talent Cloud Artificial Intelligence (TCAI) and AI-enabled tools to assist with screening, reviewing, organizing and highlighting profiles and applications that match the key requirements for each role. AI does not make hiring decisions: Qualified candidate applications are reviewed by a member of our team, and all decisions throughout the process are made by humans. We use AI to support efficiency and consistency, not to replace human judgment. We are committed to a fair, thoughtful, and equitable experience for every candidate. Participation in AI profile matching is entirely voluntary. If you prefer that your profile not be used in this process, you can opt out at any time. Opting out means your profile will be excluded from automated matching and will not be surfaced for additional roles through this system. Your current application remains active and will not be affected in any way. Interview Integrity & AI Policy Our interview process is designed to evaluate your personal technical foundation, real-time problem-solving logic, and structured capabilities. Therefore, the use of assistive generative AI tools to formulate or deliver your solutions during live interview sessions is not permitted. We care most about how you think — how you make sense of unclear requirements, weigh trade-offs, and explain why you chose one approach over another. We value your unique human perspective, your authenticity, and the journey it takes to reach a solution. Please note that we are currently not accepting applications from third party application services. Lead, build, test and release complex mission-critical infrastructure services for Rivian's Autonomy team on cloud and/or on-prem. Setup fault tolerant multi-region environments for data operations and data applications. Own CI/CD pipeline for apps and data projects. Define on-call strategy and participate in on-call rotations. Make developers' lives smooth via automated workflows. Build and optimize highly reliable, scalable, and distributed infra using microservice architecture. Collaborate with the security & privacy team to perform audits and mitigate any findings. Collaborate with cross-functional Autonomy teams for development and integrations. Cost optimization in AWS or GCP across multiple accounts and services. 5+ Yrs. of software engineering or in ML/Dev/Data Ops role. 5+ Yrs. Experience authoring, scaling, and managing production infrastructure. 5+ Yrs. Experience with Kubernetes, cloud CI/CD tools, and core cloud services across compute, storage, networking, identity, and secrets management (e.g., AWS EKS/ECS/S3/Lambda/RDS/Systems Manager/Secrets Manager/CloudTrail, Azure AKS/Blob Storage/Functions, or GCP GKE/Cloud Storage/Cloud Functions). 5+ Yrs. Infrastructure as Code and configuration management (Terraform, Pulumi, AWS CloudFormation, or AWS CDK). 5+ Yrs. Experience monitoring applications across cloud environments using Datadog, Prometheus, or native tools such as AWS CloudWatch, or Google Cloud Operations. 5+ Yrs. Experience debugging production systems and performing RCA on incidents. 3+ Yrs. Hands-on with Python, Go, or Java, plus Git-based tooling (GitLab, GitHub, or similar) for automation. 2+ Yrs. of CI/CD and/or GitOps patterns (using GitLab, Jenkins, Argo CD, or similar). 2+ Yrs. Microservice-oriented architectures (using Kubernetes, container orchestration on any major cloud, or Docker Swarm). 2+ Yrs. Knowledge of Agile development of accessible software tools. Linux internals, networking, and distributed computing are a plus. AWS or GCP certification, or a Cloud Native (CNCF) certification, is a plus.
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