Senior Software Engineer, Vision AI

We're looking for a Senior Software Engineer, Vision AI to build the platform and products that bring Vision AI to restaurant operators. You'll own major parts of the system end-to-end, from services that process video to customer-facing features operators use daily.

Responsibilities

• Build full-stack, customer-facing features that bring vision-powered insights to restaurant operators across Toast's products and surfaces.
• Own major platform components, such as the video pipeline and services that process and analyze footage.
• Integrate vision models into products, working with ML engineers to bring models into production features.
• Contribute to architecture and design, shaping technical decisions with the team.
• Collaborate across teams, partnering with product, design, and teams across Toast on integrations and dependencies.
• Work AI-forward, using AI coding tools and agent harnesses as a core part of how you design, build, test, and ship.
• Raise the bar, setting a high standard for quality, testing, reliability, security, and privacy in the areas you own.

Requirements

• 5+ years building and shipping software in production, including customer-facing products.
• Full-stack skills, with strong backend experience with cloud infrastructure (AWS preferred), event-driven systems, storage, and APIs.
• Comfort with AI and models, with experience integrating AI or ML models into production features.
• Pragmatic engineering, building the simplest solution that solves the problem well.
• Zero-to-one experience, taking ambiguous ideas from prototype to production with real customers.
• AI-forward ways of working, with daily use of AI coding assistants and agent harnesses.
• Collaboration and communication, with ability to work closely with product, design, and engineering partners.

Nice to Haves

• Experience building web front ends with React and TypeScript.
• Experience building computer vision, video analytics, or camera-based products.
• Experience working with video (streams, codecs, tools like ffmpeg) or real-time video pipelines.
• Experience with ML systems, such as inference pipelines, evaluation, or model monitoring.
• Experience with connected device fleets, device provisioning and authentication, remote updates, and constrained networks.
• Experience building data-rich product experiences, such as dashboards, analytics, or alerts.
• Experience building privacy-sensitive systems that handle video or personal data.
• Background in restaurant, retail, hospitality, drive-thru, or other operationally complex environments.

Salary

The base salary range for this role is $159,000-$254,000 USD.