We are at GDC18

Remedy is visiting the Game Developers Conference in San Francisco this year. Along with a strong speaker lineup, with talks covering everything from narrative to tools programming, we are also looking for talented people to talk to about joining our team.

Our future is exciting, and we want you to be a part of it.

Come talk to us @ GDC18

We are gearing up for a great year: our own IP, codenamed P7, is in full production. We are also busy working on the campaign mode for Crossfire 2, the biggest first-person shooter in the world.

Thanks to these exciting and challenging projects, our team has been growing more than ever before. Soon we’re moving into a new, custom-built office, and we are on the hunt for a select few talented individuals to join our development team in Espoo, Finland.

Do you have what it takes? If the answer is yes, we would love the opportunity to meet you in San Francisco and talk to you about what we’re working on.

To set up a meeting with Remedy at GDC,
email us at gdc@remedygames.com.


The positions we are hiring for:

Lead Multiplayer Programmer
Lead AI Programmer
Engine Programmer
Tools Programmer
Game Designer (World Systems)

We are also hiring for other positions,
which are available on our Careers page.

Photo by Sasha Zvereva

Remedy speakers @ GDC18

Monday, March 19th

10:00-11:00am – Anna Megill, the Narrative Lead on our new project, codename P7, will participate in the Narrative Innovation Showcase and discuss how she worked on the
Rat Whispers in Dishonored: Death of the Outsider.

11:20-12:20 pm – Tatu Aalto, our Lead Graphics Programmer, will be holding a talk on The Latest Graphics Technology in Remedy’s Northlight Engine as part of the Advanced Graphics Techniques Tutorial.

3:50pm – 4:20pm – Vesa Paakkanen, our Senior Tools Programmer, is holding a tutorial called Workflow Driven Tools Design as part of Tools Tutorial Day.

Wednesday, March 21st

3:30pm – 4:30pm – Antti Herva, our Lead Character Technical Artist, will be holding a session called
Production-Level Facial Performance Capture Using
Deep Convolutional Neural Networks