Jobs at Kitware

Lead AI/ML and computer vision R&D programs for government and commercial customers. Manage and mentor engineering and research teams, secure funding, deliver complex software projects, and publish technical results while meeting contractual security requirements.

Develop and support build tools and infrastructure for large-scale C++ and Python product lifecycles. Write cross-platform software for Unix/Linux/MacOS/Windows, work in an agile team, collaborate with developers, algorithm experts, customers, and maintain SDLC using CMake and command-line tooling.

Lead and manage AI and computer vision projects for U.S. government customers: own project lifecycle, translate research into roadmaps with a PI, lead cross-functional teams, manage technical customer engagement and briefings, contribute to proposal writing and business development, and ensure delivery on schedule, scope, and budget. May participate in live field tests.

Support the contracting lifecycle for government and industry customers: assist with proposal preparation, subcontractor coordination, contract administration and modifications, post-award reporting, recordkeeping in the contract management system, and serve as a point of contact for customers and vendors.

The Machine Learning Engineer will collaborate on AI projects, develop algorithms, optimize solutions, and maintain coding standards within Kitware, contributing to various machine learning tasks.

Collaborate on machine learning projects, perform prototyping, validate algorithms, and troubleshoot code for robustness in AI and computer vision.

Maintain financial accuracy and compliance through monthly reconciliations, multi-state tax filings, technical accounting and tax research, policy development, cross-functional support across AP/AR/payroll, recommend process improvements, and translate regulatory requirements into actionable internal controls.

Lead design and implementation of large-scale software frameworks for computer vision and ML across embedded, desktop, and cloud environments; maintain and contribute to open-source projects; optimize code; integrate third-party libraries; oversee and review other engineers' code; engage with customers and field tests.