Sr. Software Analyst, Data, Autonomy

Rivian; Palo Alto (CA); On-site; USD 132,100 - 165,100; Full time

Benefits offered by this job

Paid vacation

Paid sick leave

Comprehensive insurance benefits

401(k) Plan

Employee Stock Purchase Program

Job summary

Rivian is looking for a qualified individual to manage strategic planning and execution of 2D/3D annotation projects in Palo Alto, California. This role requires analytical skills to assess data quality and improve processes, alongside vendor management and collaboration with engineering teams. Ideal candidates will have strong project management abilities and a BS degree. Competitive salary range is $132,100 - $165,100, with extensive benefits and opportunities for career growth.

Qualifications

• 2+ years of relevant experience or 5+ years equivalent industry experience.
• Experience with ML data or labeling-related projects.
• Strong understanding of 2D/3D data annotation workflows.

Responsibilities

• Lead strategic planning and coordination of 3D/2D annotation projects.
• Analyze large-scale 2D/3D annotation datasets for inefficiencies.
• Prepare technical reports to support decision-making.

Skills

Data annotation

Project management

Communication

Data analysis

Education

BS degree in a technical or related field

Tools

Databases

Data visualization tools

Job description

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

In this role, you will lead strategic planning and coordination of 3D/2D annotation projects, working closely with both internal and external partners. A key responsibility is rigorous vendor management, ensuring the quality of deliverables, resolving defects, and facilitating feature enhancements. The role also encompasses developing policies, setting precise labeling protocols, executing accurate 3D sensor data annotation, and conducting thorough quality control on all generated datasets. 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.

Responsibilities

Analyzing Data Insights

• Analyze large‑scale 2D/3D annotation datasets to identify data gaps, quality issues, coverage gaps, and inefficiencies impacting Perception and ML training.
• Utilize dashboards and reports to monitor annotation throughput, efficiency, and cost; quality metrics (QA pass rates, error types, rework); vendor and annotator performance trends.
• Interpret 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.
• Effectively communicate data findings to business partners, bridging the gap between technical data and strategic organizational goals.

Annotation Operations & Quality

• Assess the 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.
• Manage relationships with various vendors, including contract and quote review, for third‑party annotation services and tools.
• 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.

Process Improvement & Automation

• Prepare technical reports and collaborate with cross‑functional engineering teams to ensure consistent process implementation, with the ability to automate basic processes.
• Identify opportunities to make data delivery and annotation workflows faster, more accurate, and scalable.
• Identify and propose enhancements to address deficiencies in existing tooling, improving the efficiency and accuracy of annotation workflows.

Cross‑Functional & Vendor Collaboration

• 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.

Qualifications

Required

• 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.
• Experience with error taxonomy development and quality assurance (QA) frameworks for data annotation.
• Working knowledge of 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 project insights to non‑technical stakeholders.
• Experience mentoring or guiding junior team members or offshore teams.

Nice to Have

• Experience building or improving operational analytics for efficiency, cost, or quality.
• Comfort working in a fast‑paced, cross‑functional, and collaborative environment.
• Hands‑on experience with data analysis, metrics tracking, and dashboarding.

Pay Disclosure

The salary range for this role is $132,100.00 - $165,100.00 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.

Benefits

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 [e-mail].

Candidate Data Privacy

Rivian may collect, use and disclose your personal information or personal data when you apply for employment and/or participate in our recruitment processes. 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 tracking interactions with our recruiting system; carrying out, analyzing and improving our application, recruitment process; establishing an employment relationship; complying with legal, regulatory and corporate governance obligations; recordkeeping; ensuring network and information security and preventing fraud; and other required or permitted uses under applicable law.

Rivian may share your Candidate Personal Data with internal personnel, Rivian affiliates and service providers such as background checks and staffing services. Rivian may transfer or store internationally your Candidate Personal Data in the United States, Canada, the United Kingdom, the European Union and in the cloud.

Please note that we are currently not accepting applications from third party application services.