Why Join Inworld

Inworld is the best-funded startup in AI and games with a $500 million valuation and backing from top tier investors including Intel Capital, Microsoft’s M12 fund, Lightspeed Venture Partners, Section 32, BITKRAFT Ventures, Kleiner Perkins, Founders Fund, and First Spark Ventures.

Inworld is the leading AI engine for games and interactive media. Inworld’s suite of AI components enables developers to build interactive, responsive, and personalized AI gaming experiences, orchestrate models to create intelligent game behaviors, and unlock enhanced productivity with AI-generated content. Inworld powers experiences built by Ubisoft, NVIDIA, Niantic, NetEase Games and LG, among others, and has partnerships with key industry players such as Microsoft Xbox, Epic Games, and Unity.

Inworld was recognized by CB Insights as one of the 100 most promising AI companies in the world in 2024 and was also named among LinkedIn's Top Startups of 2024 in the USA.

We are looking for a Staff Software Engineer to primarily work on C++ based components, as well as Kotlin and Python based components for Inworld AI.

Responsibilities

Building from scratch or in the early phase: high-load distributed systems, high-quality APIs, ML inference, and training infrastructure.
Contributing to the product design and roadmap.
Prototyping new ideas and features.

Minimum Qualifications

Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
6+ years of experience in software development, and with data structures/algorithms.
3+ years experience developing software applications using the C++ programming language.
Strong proficiency in writing clean, maintainable, and efficient C++ code.
Extensive experience in cloud development, particularly in designing and implementing high-load services.
Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.

Preferred Qualifications

3+ years professional experience with Java and/or Kotlin.
Professional experience with Python.
Experience with relational and NoSQL databases.
Familiarity with containerization technologies like Docker and orchestration tools like Kubernetes.
Practical knowledge of cloud platforms: AWS, Azure, or Google Cloud.
Extensive experience in native development for Linux or Windows platforms.
Hands-on experience in designing and developing high-load distributed systems.
Strong fundamentals in the data structures, algorithms, design patterns, and object-oriented programming.

In-office location: Mountain View, CA, United States.

Remote location: United States.

The United States base salary range for this full-time position is between $180,000 - $260,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.

About The Company

Inworld powers AI-driven gameplay for video games and immersive experiences.

Whether you’re looking to unlock novel gameplay, create content at scale, improve player immersion, or future proof your AI infrastructure, Inworld helps uplevel your game development with AI.

Inworld has worked with Xbox, Ubisoft, NVIDIA, NetEase Games, Niantic, LG UPlus, Alpine Electronics, and indie game developers to create AI-driven experiences. We’re backed by top-tier investors including Section 32, Intel Capital, Microsoft’s M12 fund, BITKRAFT Ventures, Kleiner Perkins, Founders Fund,and First Spark Ventures.

The Inworld product suite includes:

Inworld Engine powers real-time experiences with groundbreaking game mechanics, dynamic NPCs, and worlds that evolve with each action. AI NPCs can learn and adapt, deliver nuanced performances, perceive the world around them, and autonomously initiate actions based on players' decisions.

Inworld Studio consists of a suite of tools that enhance game design. Using AI to streamline workflows, the Studio enables developers to workshop, draft, and outline storylines, narratives, dialogue, quests, and more.

Inworld Core is our custom solution for future-proof AI infrastructure, including custom models, training, serving and security.