The Data Analyst manages data workflows and builds automated pipelines to connect internal systems with logistics partners. They are responsible for calculating metrics, creating dashboards, and leveraging AI tools to optimize supply chain operations.
Serve Robotics
10 Remote Job Openings at Serve Robotics
Full-Stack Software Engineer, Internal Services
Serve Robotics
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Full Time
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25 days ago
Serve Robotics
Build and maintain internal web services and user interfaces to support software release workflows for engineering, QA, and operations. Improve deployment observability, CI/CD pipelines, and governance features to ensure safe and scalable robot software shipping.
Develop and execute communications plans to support city launches, regulatory milestones, and policy priorities. Manage media relationships and engage local stakeholders to maintain the company's license to operate in priority markets.
Lead the overall security strategy across corporate, platform, and robot security while developing a scalable security roadmap. Manage a technical team to mature GRC, incident response, and secure development practices to support the autonomous delivery platform.
Develop and execute a government affairs strategy to support the expansion of autonomous delivery robots across the Midwest and Eastern US. Build relationships with lawmakers and regulatory bodies while serving as a spokesperson for the organization at public forums.
Lead and grow a team of data and analytics engineers while defining the technical roadmap for the company's data platform. Oversee the design and governance of data infrastructure to provide accurate reporting and AI-powered self-service analytics for business stakeholders.
IT Identity and Access Management (IAM) Engineer
Serve Robotics
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Full Time
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4 months ago
Serve Robotics
The IAM Engineer will design, deploy, and maintain enterprise identity systems including SSO, MFA, and federation services. They are responsible for automating user lifecycle workflows, managing access control models, and ensuring compliance with security policies.
This role involves designing and maintaining large-scale machine learning training systems capable of processing petabyte-scale multimodal robotics datasets across distributed GPU clusters. Key duties include optimizing training pipelines, refining neural network architectures, and collaborating with ML researchers to deploy high-performance autonomy models.
The role involves defining project scope, timelines, resource allocation, and risk mitigation for autonomy projects covering model development, data infrastructure, simulation, and machine learning. Responsibilities also include leading coordination across engineering, product, operations, and business stakeholders, gathering requirements, and developing efficient workflows.
Build and drive the roadmap for the Autonomy Data Flywheel, ensuring delivery for all consumers of the data. Collaborate with engineering teams to set and achieve targets for quality and quantity KPIs.