Jobs at Serve Robotics

The Staff Systems Engineer leads interdisciplinary teams to define requirements and specifications for an autonomous delivery robot, ensuring performance and safety through collaboration and problem-solving.

Design, validate, and test PCBs and electrical subsystems for autonomous delivery robots. Support schematic/component selection, PCB reviews, prototype bring-up, troubleshooting, characterization, and manufacturing collaboration. Develop and execute test plans, perform root cause analysis, and maintain engineering documentation while partnering with firmware, software, and manufacturing teams.

The Senior Embedded Engineer leads firmware development and hardware-firmware integration, collaborates with teams for system performance, and mentors others in troubleshooting.

The Director of Product for Data Flywheel will lead the roadmap for data initiatives, ensuring quality and compliance across various engineering teams and initiatives. Responsibilities include managing data metrics, supporting data pipelines, and collaborating across teams to enhance infrastructure.

The Lead Engineer is responsible for developing RL algorithms, designing training pipelines, and creating synthetic scenarios for robotic navigation and performance optimization.

The IAM Engineer designs, implements, and maintains IAM systems, ensuring compliance and security while managing user access and automation workflows.

Lead a team of data engineers and analysts, define the data engineering roadmap, oversee data infrastructure, ensure analytics delivery, and establish data governance standards.

Lead planning, execution, and optimization of cross-functional hardware and software projects for robot development, manufacturing, testing, upgrades, and deployments. Coordinate mechanical, electrical, embedded, systems, manufacturing, and operations teams, define scope and timelines, mitigate risks, implement process improvements, run sprints, and maintain project documentation and stakeholder communication.

The Staff Technical Program Manager will manage robotics projects, oversee cross-functional teams, ensure timely delivery, and maintain effective communication across stakeholders.

Build and maintain internal web services and UIs to support deployment workflows, strengthen CI/CD and release safety, improve observability and auditability, and operate internal services including on-call support and production rollouts.

Develop and scale machine learning training systems for robotics data, optimize training pipelines, and collaborate with ML researchers to enhance autonomy models.

Lead communications and public affairs execution for city launches, policy priorities, and market entry. Build media strategies, engage local stakeholders and validators, monitor legislation and opposition, support regulatory and government relations messaging, maintain incident response playbooks, draft reactive and briefing materials, prepare spokespeople, and manage inbound media in fast-moving, regulated environments.

As a Software Engineer in ML Infrastructure, you will develop scalable data pipelines, enhance data discovery, and collaborate with teams on data organization and ML features.