Hiring: Software Tools Manager, Autonomy Systems Validation Company: Rivian Location: Palo Alto, CA Job Posted Time: 2026-09-15 10:28:31 Employment Type: Full-time Target Skills & Keywords : AWS, Airflow, CI/CD, Data Pipeline, Databricks, Docker, Embedded Systems, GitHub Actions, GitLab CI, Grafana, Jenkins, LLM, Python, Snowflake, pytest About the job Experience: •5+ years in software engineering with a record of managing people and delivering cross-functional projects with a B.S. in Computer Science, Computer Engineering, Electrical Engineering, Robotics or related technical field. Required Skills: •Lead the team: Lead, coach and grow a team of six engineers, define the roadmap and prioritize the team’s workflow against limited capacity, stay hands on and drive cross-functional technical alignment and process improvements. •Own the charter: Data acquisition, post-processing, analytics, data tools test automation, fleet software integration, and in-house data loggers where production logging falls short. •Partner before building: Serve as the primary interface to the larger Autonomy software, platform, and infrastructure organizations. Extend what they already own, and build only the thin, high-leverage layer closest to the validation engineer whenever possible versus building from scratch. •Develop dashboards: Automated reporting for active safety and automated driving feature test results, regulatory scoring, vehicle operator safety and behavior metrics and increase throughput on release metrics and validation KPIs. •Lead CI/CD and quality: Run the pipelines and automated test framework for the team's repositories, report release health and stability, hold the quality gates and metric traceability that make results defensible and demonstrate the team is accelerating validation. Qualifications: •Strong hands-on Python experience building data tooling, pipelines, or analytics platforms for engineering or test organizations and demonstrated CI/CD and automated test framework experience (GitHub Actions, GitLab CI, or Jenkins, Docker, Pytest) in modern cloud services (AWS preferred). •Practical experience with vehicle or robotics data: CAN (DBC, UDS / ISO 14229), automotive Ethernet, camera/radar/lidar logs, time synchronization, and formats such as MCAP, ROS, or MDF/MF4. •Practical experience with LLMs and applied AI, including involvement with agent or automation systems and holding them to measurable accuracy metrics. •Collaborative leader and clear communicator: Explain complex ideas simply, surface risks early, secure buy-in from stakeholders, develop meaningful dashboards and build a positive team culture. •Bonus Qualifications (0-4) Nice To Have. . •ADAS or autonomous vehicle validation and physical vehicle testing, including Euro NCAP, US NCAP, IIHS, ISO, or UN protocols and ISO 26262 / ISO 21448. •Data logging hardware and embedded logging software, or test fleet software lifecycle: builds, configuration management, OTA updates, and data offload at scale. •Exposure to autonomy simulation, resimulation, and log-replay tooling, and how simulated coverage complements physical vehicle test results. •Complex, safety-critical, or fast paced, high-uptime environments, and stacks such as Grafana, Streamlit, Databricks, Snowflake, or Airflow. •The successful candidate may be eligible for annual performance bonus and equity awards. Compensation: •$186,000 - $232,500 / year •Bonus Qualifications (0-4) Nice To Have Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!