Jobs at UnitX

Lead business development to win and scale strategic accounts for UnitX's AI vision platform. Build executive relationships, map global manufacturing ecosystems, identify high-value inspection and automation use cases, drive pilots to production, coordinate cross-functional teams across North America and Asia-Pacific, and feed market insights into product strategy.

As a Senior Embodied AI Engineer, you will design and deploy intelligent control systems, manage simulations, and apply machine learning methodologies to enhance robotic performance in manufacturing environments.

Develop and implement machine learning algorithms for defect detection in high-resolution images. Optimize real-time performance and evaluate model efficiency.

The Business Development Representative will generate new business leads via calls and emails, manage a pipeline of prospects, and help refine lead generation strategies.

Manage full sales cycle selling industrial AI solutions, build pipeline, partner with technical team for demos, track sales in HubSpot, and improve sales strategies.

The Recruiter will manage full-cycle hiring, including sourcing and closing candidates for engineering and operations roles in AI systems. Responsibilities include writing outbound messages, coordinating interviews, and ensuring a positive candidate experience with hiring managers and operations.

The Product Operations Engineer will install and integrate vision systems in factories, collaborate on system designs, and solve complex automation challenges while traveling to customer sites.

Lead product strategy and roadmaps for vision and robotics products in manufacturing. Define MRDs/PRDs, prioritize features, partner with hardware, software, ML, sales, and CS, and drive products from concept to 24/7 production. Use AI tooling for research, travel to customer sites up to 50%, and make rapid tradeoffs in a fast-moving startup.

Design, train, and optimize deep learning computer vision models for defect detection using high-resolution and 3D sensor data. Build automated data and training pipelines, deploy and optimize models for edge and cloud with sub-20ms inference, monitor model reliability, create evaluation and interpretability tools, and drive R&D in self-supervised, multimodal, and generative techniques.