Subject to the same considerations, the total compensation package for this position may also include equity awards, in addition to a range of medical, financial, and/or other benefits. Offers for applicants from other countries will be based on their regional norms and the requirements of each location.
The base pay range offered at the start of employment for a mid-senior level applicant residing in the United States is expected to be in between $70,000 and $140,000 USD per year depending on the factors above.
Offers may be adjusted based on job-related knowledge, skills, experience, and other objective business considerations. Our goal is to provide fair and equitable compensation based on market location as well as an individual candidate’s specific qualifications for an open role. We meet daily so successful applicants will ideally be located within a UTC +2 to UTC -7 timezone. Photoshop or other image editing experience/portfolioĬlockwork Laboratories is a fully remote team.Technical background in programming or scripting.Worked on and ideally shipped an MMO sandbox title.Excellent communication and collaboration skills with the ability to work effectively in a remote global team environment.Proficient in efficiently manipulating spreadsheet data to establish and balance content.Ability to interpret player metrics and use them to prioritize design and development.Keen to work on a small agile team that allows for greater responsibility and ownership.Demonstrable deep understanding of gameplay mechanics and player motivation in Survival, Crafting, Sim, MMO, and/or Sandbox games.Keep up-to-date with industry trends and best practices and share learning experiences that bring new ideas and concepts to the team.Analyze player feedback and data to improve existing systems and features, and develop new content and features to keep players engaged.Analyze, investigate, and validate new ideas and opportunities wherever they may come from.
Actively encourage design feedback from internal and external sources.Collaborate with cross discipline team members to create a cohesive and immersive world for players to explore.Develop and balance player progression in skills and abilities ensuring a fun and engaging gameplay experience. BitCraft is an upcoming MMORPG that takes place in a procedurally generated sandbox world with a deep skills system and a focus on crafting, economics.Work closely with the development team to design and implement game mechanics, systems, and content for long term player enjoyment.Its massively online nature also brings in similar large scale social gameplay, with a level of player agency rarely seen: every town and everything in it is player made and player run, player can shape and develop the world to suit them, player orchestrated trade and social politics will be key for organization.Īs a Game Designer for BitCraft Online, you will help shape a fun and immersive gaming experience that our player community will love. Moment to moment gameplay plays like a sandbox survival crafting game, but there is deep character progression like a traditional MMO. Many thanks to for providing and hosting the tileset used in the project.Clockwork Labs is seeking a creative and experienced Game Designer to join our team and help us bring BitCraft Online to life!īitCraft is a MMO Sandbox game which puts the focus on crafting, building, and collaborating with other players through economies, instead of combat. You can watch it work by running "test.py". If you are unfamiliar with GOAP, I invite you to do some research online, it may help you to understand this module. I've build AI Agents around the concept of Actions and ActionBuilders.Īctions can be subclassed from a few different action types.ĪctionBuilders will search a blackboard and return a list of actions that can be performed. The demo gives you a simple diagram of the game world and the debugging information near the bottom lets you know what is going on 'in the heads' of the agents. This library is not complete, but is working as-is. Check the 'npcs' folder and read through actions.py to get an idea of how it works. Behavior is determined in real-time and is extremely open ended and well suited for emergent behaviors.Īgents, or npcs, can be programmed very simply with an easy to understand api. The basic library is based off of a well-known idea of using graph searches to to create realistic agents in real-time. PyGoap is a small library for designing AI in python.
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