Top Entry Level Robotics Jobs

As a Business Development Manager, you will build relationships with US clients, manage sales cycles, deliver demos, and gather field insights while supporting the growth of Ascento's corporate presence in the US.

As an Office Manager, you will oversee office operations, manage vendor relationships, assist with employee onboarding, and maintain office supplies and systems to enhance the work environment.

As an Operations Specialist, you will manage schedules, document operations, assist with autonomous system setup, and communicate with safety drivers.

Partner with an ELT member to run leadership meetings, drive strategic initiatives, prepare materials for the Executive Leadership Team and Board, track progress, collaborate with cross-functional peers, challenge senior leaders, and translate complex strategy into clear communications for executives and the wider organisation.

The Document Control Specialist manages employee training and certification records, ensuring compliance with various requirements while supporting documentation processes across the company.

Organize and manage materials and supplies, ensuring workspace efficiency and preparing items for activities while tracking inventory levels.

As a Memory Developer, you will record task demonstrations, test hardware and software, and provide feedback to improve our robot's learning capabilities.

This role focuses on executing outbound campaigns to engage stakeholders in power utilities and oil & gas sectors, drive conversion opportunities, and expand inspection services.

Design and develop automated machinery and robotic systems for biomanufacturing. Own machine design projects from concept through prototyping, testing, and production, create CAD models and drawings, apply DFM/DFA, size actuators and interfaces, and document designs while collaborating with cross-functional hardware and software teams.

Design and train spatiotemporal neural simulators for long-form, controllable video/world modeling. Own end-to-end large-scale training of multi-billion-parameter models, manage GPU-cluster experiments, diagnose failure modes, improve data mixtures, and tighten evaluation to drive measurable gains.