Automate and improve our instance-segmentation and vision-language model annotation tooling, creating smooth, efficient workflows for our annotators and model managers
Build and maintain the pipelines that move data from deployed sensors → annotation → model training → production deployment
Develop tooling for model performance monitoring, error analysis, and continuous improvement across customer sites
Work closely with ML engineers to accelerate the feedback loop between deployed models and training infrastructure
Contribute to custom Visia implementations for enterprise customers — building integrations with scale systems, ERPs, PLCs, and customer-specific reporting
Support Forward Deployed Engineering (FDE) engagements by building reusable tooling and templates that make each deployment faster than the last
Help translate customer operational needs into technical specifications and working software
Build agentic tooling to accelerate GTM workflows — automated sales deck generation, customer research, and outreach
Collaborate with the CEO on automating operational workflows
Contribute to Visia's overall product roadmap and help shape the future of physical intelligence in heavy industry

Requirements

You have strong programming skills in one or more commonly used programming languages (we use Python, TypeScript, and Go)
You move fast, ship iteratively, and care about building things that actually work in production
You're comfortable working with at least some of the following and eager to learn the rest:
Python backend development (Flask, FastAPI)
Frontend development (React / React Native)
Cloud computing (GCP, AWS, or Azure)
CI/CD, IaC, and containerization (Docker, Terraform, GitHub Actions)
Databases (SQL, dbt, Postgres, ClickHouse)
Bonus: experience with computer vision pipelines, annotation tooling, or ML infrastructure
You have proof of your engineering ability through GitHub projects or work experience.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonTypeScriptGoFlaskFastAPIReactReact NativeGCPAWSAzure

Soft Skills

collaborationproblem-solvingcommunicationadaptabilitycustomer-focused