Rushdown Studios

Rushdown Studios

General Interest - Other

United States (Remote)

Sponsorship not specifiedDetected 104 days ago

About the role

  • As a co-dev game studio, we now focus on solving some of the most difficult problems that face multiplayer games - and we bring our experience working on games like PUBG, League of Legends, and Rocket League with us.
  • We truly love the work we do and we want to funnel our passion and expertise into features and games that billions of players will enjoy worldwide.
  • Our Role Even if you don't see an opening that matches your expertise, we'd still like to hear from you!

Responsibilities

  • However, we also support fully remote work for candidates living across New York State or one of the other states in which we're currently registered to conduct business (e.g., CT, DE, GA, KS, MA, MD, NC, OH, PA, TX, WI).

Compensation

  • Annual Video Game Budget

Benefits

  • 9 Paid Holidays plus Flexible PTO and Annual Winter Break Closure
  • Medical, Dental, and Vision Insurance
  • 401(k) Retirement Plan
  • Paid Parental Leave

Company info

  • Founded by games industry veterans,
  • If we identify an opening that matches your profile at any point, we will provide an initial compensation range during our initial call.
  • At Rushdown Studios, we believe that we're made better by each of the different perspectives that our team members bring to the table.

Equal opportunity

  • We want to hear from you, even if you don't meet all of the requirements for a specific role.
  • We're also an equal opportunity employer and we do not discriminate on the basis of race; color; ancestry or national origin; religion; physical or mental disability; age; sex, including pregnancy; sexual orientation; gender, gender identity, or gender expression; medical condition; genetic information; or marital, military, or veteran status.
  • equal opportunity employer and we do not discriminate on the basis of race

This listing is sourced directly from Rushdown Studios's careers page and normalized into a canonical job model.