Sr. Software Analyst, Autonomy

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.

Rivian's Autonomy Data Team delivers high-quality, reliable data that powers ADAS and autonomy development. We are seeking a mid-level Data Analyst to support our Data Annotation and Perception teams by transforming annotation data into actionable insights.

In this role, you will analyze large-scale 2D/3D annotation datasets to identify data gaps, quality issues, and operational inefficiencies, and build dashboards and metrics that monitor annotation throughput, quality, cost, and vendor performance. You will partner closely with Annotation Operations, Perception, and Engineering teams to ensure data readiness for model training and evaluation.

The ideal candidate is data-driven, detail-oriented, and execution-focused, with a strong understanding of annotation workflows and a passion for improving data quality and efficiency at scale. This role plays a critical part in enabling informed decision-making, continuous process improvement, and scalable annotation operations across internal teams and external vendors

• Analyze large-scale 2D/3D annotation datasets to identify data gaps, quality issues, coverage gaps, and inefficiencies impacting Perception and ML training.
• Design, build, and maintain dashboards and reports to monitor:
• Annotation throughput, efficiency, and cost
• Quality metrics (QA pass rates, error types, rework)
• Vendor and annotator performance trends
• Translate complex annotation and perception data into clear, actionable insights for engineering, annotation operations, and leadership.
• Partner with Perception teams to align data readiness metrics with model training and evaluation needs.

• Assess level of effort for annotation projects and support end-to-end execution, including in-house vs. vendor decisions.
• Collaborate with stakeholders to gather labeling requirements and define, maintain, and evolve labeling policies.
• Define and track annotation quality, productivity, and certification metrics; continuously refine benchmarks.
• Conduct QA/QC analysis on annotated data, identify systemic issues, and provide structured feedback to annotators and vendors.
• Implement and measure labeling efficiency improvements, using data to validate impact.

• Identify opportunities to make data delivery and annotation workflows faster, more accurate, and scalable.
• Build lightweight automation (scripts, queries, data pipelines) to reduce manual reporting and operational overhead.
• Maintain structured datasets (databases, tables, metrics pipelines) to enable consistent reporting and historical analysis.

• Work closely with Annotation Ops, Perception, and Engineering teams to ensure consistent process implementation.
• Support vendor management by analyzing performance, cost, and quality metrics across multiple annotation partners.
• Prepare technical and operational reports to support planning, execution, and decision-making.
• Coordinate across teams and time zones to ensure alignment and timely delivery.

• BS degree in a technical or related field with 2+ years of relevant experience (or 5+ years equivalent industry experience).
• 2+ years supporting data annotation, ML data, or labeling-related projects.
• Strong understanding of 2D/3D data annotation workflows for ML and Perception use cases.
• Hands-on experience with data analysis, metrics tracking, and dashboarding.
• Working knowledge of Python, SQL, databases, and/or data visualization tools.
• Experience analyzing LiDAR point clouds, video, and image annotation data.
• Ability to manage multiple projects, prioritize effectively, and deliver under tight timelines.
• Strong written and verbal communication skills, with the ability to explain data insights to non-technical stakeholders.

• Experience mentoring or guiding junior team members or offshore teams.
• Familiarity with annotation QA frameworks and error taxonomy design.
• Experience building or improving operational analytics for efficiency, cost, or quality.
• Comfort working in a fast-paced, cross-functional, and collaborative environment.

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.

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.