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.
Serve Robotics
20 Remote Job Openings at Serve Robotics
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.
The Technical Accounting Manager will research, analyze, and document complex accounting matters under U.S. GAAP while driving consistent policy application across the organization. They will also oversee equity accounting, support SEC reporting, and ensure SOX compliance through cross-functional collaboration.
The Senior Hardware Product Manager will lead the evolution of the robotic fleet by driving product updates and developing new features to improve efficiency and safety. This role involves extensive cross-functional collaboration to align hardware capabilities with business objectives and operational requirements.
The Senior Counsel will manage all phases of employment-related litigation and provide strategic legal guidance to the Human Resources department. This role involves overseeing workplace investigations, ensuring regulatory compliance, and representing the company in various dispute resolution proceedings.
The Counsel will manage a portfolio of commercial agreements while designing and optimizing legal systems and processes. They will also lead contract negotiations and implement AI-powered legal tools to improve operational efficiency.
The Security Analyst will implement technical security requirements and hardening standards across the company's IT and product infrastructure. They will also manage EDR platforms, conduct vulnerability assessments, and contribute to the organization's security awareness program.
Robot Operations Manager (Global Allocation & Compliance)
Serve Robotics
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Full Time
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2 months ago
Serve Robotics
The Robot Operations Manager oversees global fleet allocation, readiness, and regulatory compliance across all markets. This role acts as the primary bridge between expansion, hardware, and policy teams to ensure efficient robot deployment and performance.
The Compensation Manager is responsible for designing and scaling compensation frameworks, salary bands, and job architecture. They will also provide data-driven recommendations, ensure pay equity, and maintain compliance with compensation regulations.
The IT Project Manager leads, plans, and executes technology projects while ensuring they remain on time, within scope, and on budget. They provide strategic leadership for program management and facilitate consensus among various project stakeholders.
The Reliability Operations Engineer manages Tier 2 escalations, performs incident investigations, and maintains system health for robotic and cloud infrastructure. They are responsible for updating operational runbooks, enhancing automation scripts, and coordinating incident response during regional daytime hours.
IT Identity and Access Management (IAM) Engineer
Serve Robotics
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Full Time
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2 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.
Sr. Reliability Operations Engineer (Mexico)
Serve Robotics
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Full Time
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2 months ago
Serve Robotics
The Senior Reliability Operations Engineer leads regional incident response, escalations, and Tier 2 support for robotic and cloud systems. This role is responsible for creating operational runbooks, developing automation scripts, and ensuring system stability through proactive monitoring.
The QA Engineer owns the quality testing of internally-developed delivery platforms and fleetware systems, ensuring high-quality weekly releases through various testing initiatives including cloud infrastructure, API test automation, and security engineering. Responsibilities also involve identifying and mitigating security vulnerabilities, extending the test framework, and participating in code reviews and continuous improvement of QA processes.
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.
This role focuses on driving data management workflows and performing data analysis to enhance supply chain efficiency, speed, and smoothness. Key duties include automating data flows, connecting internal systems with logistics partners, calculating critical metrics, and identifying operational bottlenecks.
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.
Lead Engineer, Reinforcement Learning & Scenario Generation
Serve Robotics
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Full Time
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6 months ago
Serve Robotics
The Lead Engineer is responsible for building scalable training pipelines and generating high-fidelity synthetic scenarios. This includes developing RL algorithms, designing simulation environments, and collaborating with various teams to optimize training objectives.
