August 29
🏢 In-office - Bay Area
• Join our Autonomy Evaluation team, the cornerstone of building the platform and metrics that are used to measure system safety & performance. • Additionally, the team applies rigorous evaluation of data quality, ensuring all performance evaluation data is representative under diverse real-world conditions. • The team is a diverse group of software engineers, automotive sensor experts and expert statisticians. • We operate at the exciting intersection of safety, performance and research. Our environment is collaborative, constantly evolving, and encourages intellectual curiosity and growth. If you are seeking a role where your work will make a significant impact, where you can contribute to advancing the state of the art in autonomous vehicle design evaluation, our Evaluation team is the place to be. • Design, develop, and maintain large-scale data processing and evaluation pipelines in python using tools such as Numpy, Pandas, Ray, and PyTorch. • Automate the evaluation, validation and triaging processes. • Leverage cloud technologies, particularly AWS, LakeFS and BigQuery, to optimize data processing and storage. • Build cloud services for data management, ingest, workflow orchestration, distributed evaluation at scale, and core components of our validation and safety case. • Develop scalable data visualization solutions to present insights effectively. • Monitor and troubleshoot data pipeline issues to ensure reliability and performance. • Stay up-to-date with emerging technologies and best practices in data engineering and visualization. • Document processes, workflows, and solutions for team collaboration and knowledge sharing.
• Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field and 2+ years of relevant experience, Master's degree, or PhD • 2+ years of experience in the complete software product development cycle from concept to launch: developing, testing, and maintaining, and 1 year of experience with software design and architecture • Experience building scalable data platforms for real-time and batch processing • Proven experience in Python programming • Hands-on experience with Dagster for workflow automation • Proficiency in cloud technologies, particularly AWS (e.g., S3, EC2, Lambda) and BigQuery • Proficiency with Docker and Kubernetes (K8s) for containerization and orchestration • Familiarity with open-source tools and frameworks for data processing and visualization • Experience with scalable data visualization solutions (e.g., Steamlit, Grafana, Superset) • Excellent communication and teamwork skills • Ability to work in a fast-paced, dynamic environment
• Competitive compensation packages • High-quality individual and family medical, dental, and vision insurance • Health savings account with available employer match • Employer-matched 401(k) retirement plan with immediate vesting • Employer-paid group term life insurance and the option to elect voluntary life insurance • Paid parental leave • Paid medical leave • Unlimited vacation • 15 paid holidays • Complimentary daily lunches, beverages, and snacks for onsite employees • Pre-tax spending accounts for healthcare and dependent care expenses • Pre-tax commuter benefits • Monthly wellness stipend • Adoption/Surrogacy support program • Backup child and elder care program • Professional development reimbursement • Employee assistance program • Discounted programs that include legal services, identity theft protection, pet insurance, and more • Company and team bonding outlets: employee resource groups, quarterly team activity stipend, and wellness initiatives
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