Senior Software Development Engineer in Test, Inworld AI

Game Engine SDKs

CA$120-160k

+ Bonus + Equity

iOS

Node.js

Android

C++

Jenkins

Cypress

Unity

Unreal Engine

Playwright

Senior and Expert level

Vancouver

AI-powered characters for virtual environments

Job no longer available

AI-powered characters for virtual environments

101-200 employees

B2CB2BArtificial IntelligenceEnterpriseGamingDesignSaaSVirtual Reality

Job no longer available

CA$120-160k

+ Bonus + Equity

iOS

Node.js

Android

C++

Jenkins

Cypress

Unity

Unreal Engine

Playwright

Senior and Expert level

Vancouver

101-200 employees

B2CB2BArtificial IntelligenceEnterpriseGamingDesignSaaSVirtual Reality

Company mission

To transform static software into living AI systems that autonomously evolve to better serve their users.

Job

Company

Role

Who you are

The ideal candidate would be someone who has worked in the game industry live service model and understands LLM functionality
5+ years of experience in software/game development with a focus on C++, C#, or similar programming languages and test automation
Experience working with Unreal or Unity game engines, including building, testing, and optimizing for performance
Hands-on experience with automation tools and CI/CD processes (GitHub Actions, Jenkins, etc.)

Desirable

Experience in game development, especially in a tools engineering or automation capacity
Background in Quality Assurance and familiarity with performance and stress testing
Experience with building and testing for multiple platforms, including Android, iOS, and Mac
Familiarity with LLM models
Experience with test automation frameworks and tools, e.g. Playwright, Cypress

What the job involves

We are seeking a skilled Software Development Engineer in Test (SDET), from Senior level and above, to join our team at Inworld AI with a focus on automation tools and pipelines for our QA, build, and release process in Unreal, Unity, NodeJS, and WebSDK client side applications
Design, create, and maintain automation tools that support our test, build, and release processes across multiple platforms (Unreal, Unity, NodeJS, and WebSDK)
Create and manage CI/CD pipelines to automate testing and deployment workflows using tools like GitHub Actions, Jenkins, or similar platforms
Propose and create QA tools and processes to speed up our testing
Collaborate with SDK developers, backend engineers, and the QA team to develop a unified automation and tools plan
Build and maintain QA demo test suites/rooms to demonstrate automation, new feature showcases, and performance testing

Our take

Dialogue writing for video games has traditionally been a matter of branching conversations based on player input, but this is a time-consuming and complicated process. In modern virtual environments which can contain thousands of characters, the need to save on costs means that conversations with many characters can be shallow and repetitive. Inworld AI's solution allows for the creation of unique and flexible interactions for even the most minor characters, based on just a few descriptive sentences.

Since launching, Inworld has quickly grown from an AI-character startup into one of the key players powering consumer AI. Its early work with companies like Xbox, Disney, and NBCUniversal helped provide the value of real-time AI experiences, and now a wide range of media companies, game studios, and fast-growing startups are building on its platform.

Now, with the recent release of Inworld Runtime, the company is taking an even bigger step. By opening up the internal system they originally built to handle huge, real-time consumer workloads, Inworld is positioning Runtime as the go-to backend for any team looking to scale from an idea to millions of users. Its adaptive graphs, automated MLOps, and one-click experiments remove most of the painful engineering work that usually slows teams now. And for Inworld, this turns Runtime into more than just a product, it becomes the core of the company's future.

Steph

Company Specialist at Welcome to the Jungle

Company

Funding (last 2 of 4 rounds)

Aug 2023

$50m

SERIES A

Aug 2022

$50m

SERIES A

Total funding: $117m

Company HQ

Mountain View, CA

Leadership

Ilya Gelfenbeyn

(Co-Founder & Executive Chairman)

Previously co-founded API.AI (now known as Google Dialogflow), a developer platform for building conversational experiences, and served as its CEO before Google acquired the company in 2016. The company also built Assistant.ai, the highest-rated independent voice assistant in the world with 40M+ users. Ilya was also the Founding Head of the Google Assistant Investments program at Google.

Michael Ermolenko

(Co-Founder & CTO)

Michael has extensive experience in leading AI teams and led Machine Learning Development at API.ai and the Dialogflow NLU/AI team at Google.

Kylan Gibbs

(Co-Founder & CEO)

Kylan has a background in turning advanced AI into products that naturally interact with humans. They came from DeepMind, where they led products for Conversational AI and Generative Models. Prior, Kylan worked on enterprise Machine Learning projects at Bain & Company.

Salary benchmarks

We don't have enough data yet to provide salary benchmarks for this role.

Submit your salary to help other candidates with crowdsourced salary estimates.

Share this job

View 13 more jobs at Inworld AI