Power plants must operate for decades in order to reach economic viability. Due to the intense fusion environment, key components must be designed for efficient and safe remote maintenance. These critical considerations must be included from the earliest stages of fusion power plant design, in particular to take advantage of unique opportunities related to QI stellarators.
Proxima Fusion is looking for an experienced and entrepreneurial engineer to lead the conceptual design effort for all stellarator maintenance systems. In this role you will be collaborating with industrial partners and world-leading experts who are already supporting Proxima Fusion on this subject. Experience in fusion R&D or nuclear industries is desirable, but not necessary.
As a key engineering leader, you will work with a multidisciplinary team of scientists and engineers driving towards simpler and more robust stellarators that achieve economic viability. We are looking for a candidate who not only possesses technical prowess but also exhibits strategic vision and leadership capabilities. We are looking for candidates with experience across a selection of the following:
Rapid development from concept to production of large-scale mechanical systems;
Design for remote or automated handling under severe constraints;
Management and control of radioactive contamination from fusion experiments or in the nuclear fission industry;
Fusion relevant technologies such as cryogenics, vacuum seals, automated welding, low activation materials;
Design and construction of fusion devices (especially tokamaks or stellarators), or major scientific experiments;
Management of teams in high growth organisations.
As part of your role, you will:
Set the strategic vision for development of remote maintenance concepts and plan and lead technical execution;
Manage relationships and projects with external partners;
Explore fundamental system design concepts defining the entire device;
Evaluate engineering feasibility and trade-offs for key components;
Design systems for compatibility with operational and regulatory constraints.