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Serve Robotics

Remote Job Openings at Serve Robotics (6)

VP Product & Design

United States $240K - $300K per year 10+ yrs exp Design

Lead a high-performing product and design team to define and execute the product vision for sidewalk logistics robots. Partner with cross-functional leaders to align priorities, navigate technical tradeoffs, and translate company strategy into scalable product roadmaps.

VP of IT Infrastructure & Operations

United States $220K - $320K per year 10+ yrs exp Software Development

You will lead the IT strategy, infrastructure, and operations across delivery depots, engineering labs, and corporate offices. This includes managing IT budgets, vendor relationships, security compliance, and scaling systems to support rapid business growth.

Sr. Technical Program Manager, Hardware & Manufacturing

United States $150K - $187K per year 2-5 yrs exp Product

The Technical Program Manager will oversee the planning, execution, and optimization of complex projects across hardware, software, and manufacturing teams. They are responsible for defining project scope, managing cross-functional workflows, and driving continuous improvement initiatives to ensure efficient product delivery.

Data Analyst, Supply Chain

Malaysia 5-10 yrs exp Software Development

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.

Full-Stack Software Engineer, Internal Services

United States $140K - $190K per year 5-10 yrs exp Software Development

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.

Lead Machine Learning Engineer

United States $225K - $260K per year 5-10 yrs exp Software Development

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.