Software Engineer

Who We Are With its A.I.-powered robotic technology platform, Symbotic is changing the way consumer goods move through the supply chain. Intelligent software orchestrates advanced robots in a high-density, end-to-end system – reinventing warehouse automation for increased efficiency, speed and flexibility.

ROLES As part of the Cloud Tool and Application team within the VN Software Development department of Symbotic, a US-based robotics warehouse automation company headquartered in Wilmington, Massachusetts, you will help design and build cloud-based tools, web applications, backend services, and user-facing platforms that support warehouse automation, robot fleet operations, diagnostics, monitoring, digital twin, and engineering workflows.

This role is focused on fullstack web application development , with strong emphasis on modern web applications, backend services, cloud-based systems, real-time data visualization, and user experience for our cloud-based digital twin and simulation systems. You will work closely with robotics engineers, simulation engineers, QA engineers, data engineers, product stakeholders, and other technical teams to align digital twin models with business goals and ensure successful implementation.

Key Responsibilities

• Design, develop, and maintain modern fullstack web applications (React, Next.js), backend services (Node.js), APIs, and cloud-based tools for digital twin and simulation systems.
• Support real-time data visualization, monitoring dashboards, playback tools, diagnostic tools, and operational workflows for robotics and warehouse automation platforms.
• Implement highly secure and scalable data pipelines to ingest data from various sources, ensuring accuracy and timeliness of data used to update digital twin models.
• Manage and optimize cloud-based infrastructure to support digital twin simulations, including storage, computing resources, and network connectivity.
• Collaborate with UX/UI designers, product stakeholders, robotics engineers, cloud engineers, QA engineers, data engineers, and operational users to translate business and technical needs into practical application features.
• Work with cloud infrastructure, databases, messaging systems, and data pipelines to ensure applications are scalable, reliable, secure, and performant.
• Participate in application deployment, CI/CD, production support, troubleshooting, and system performance optimization.
• Support integration with simulation, digital twin, telemetry, diagnostics, fleet management, and AI-powered enterprise automation workflows where needed.
• Maintain clear technical documentation, architecture diagrams, API specifications, deployment guides, and operational notes.
• Stay up to date with modern frontend, backend, cloud application, data visualization, security, and AI-assisted development technologies.
• Perform other related duties as reasonably assigned by the direct manager or the Employer.

Job Requirements/Qualifications

• 2+ years of professional experience in fullstack software development, with strong experience across both frontend and backend platforms.
• Strong experience with JavaScript / TypeScript, Node.js, and modern frontend frameworks such as React.js and Next.js.
• Solid experience designing and building scalable backend services, RESTful APIs, real-time services, and cloud-based applications.
• Experience building modern web applications with strong attention to usability, performance, maintainability, and reliability.
• Experience with frontend data visualization, dashboard development, or complex web-based user interfaces.
• Experience with web-based 3D rendering or visualization technologies such as WebGL, Three.js, or WebGPU is preferred.
• Experience with data processing pipelines, event-driven systems, real-time data streams, or high-volume telemetry data.
• Familiarity with cloud development and deployment on platforms such as Google Cloud Platform and/or Microsoft Azure.
• Experience working with databases and data platforms such as MongoDB, Snowflake, PostgreSQL, or similar systems.
• Experience with messaging and streaming systems such as Kafka, RabbitMQ, ZeroMQ, NATS, or similar technologies.
• Familiarity with CI/CD pipelines, containerization, deployment automation, monitoring, logging, and modern DevOps practices.
• Plus{{:}} Experience with robotics, warehouse automation, digital twin platforms, simulation systems, IoT, telemetry…