Why Join Inworld
Inworld is the leading provider of AI technology for real-time interactive experiences, 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 provides the market’s best framework for building production ready interactive experiences, coupled with dedicated services to optimize specific stages of development – from design and development, to ML pipeline optimization and custom compute infrastructure. We help developers bring their AI engines in-house with a framework optimized for real-time data ingestion, low latency, and massive scale. 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 named among LinkedIn's Top Startups of 2024 in the USA.
Qualifications
- BS/MS in Computer Science, Engineering or related technical field.
- 3+ years of professional experience with C++ and related build tools (knowing Bazel is a big plus).
- Strong foundation in data structures, algorithms, design patterns, and OOP principles.
- Experience designing and implementing scalable distributed services.
- Proficiency with modern C++ standards, multithreading, and memory management.
- Knowledge of software development best practices (testing, code reviews, CI/CD).
- Familiarity with containerization, cloud infrastructure, and database systems.
- Strong problem-solving skills and excellent communication abilities.
- Experience with additional backend languages such as Golang or Python (preferred).
- Understanding of common machine learning concepts (preferred).
Responsibilities
- Design, develop, and maintain high-performance C++ libraries and applications.
- Create efficient C++ solutions for on-device ML and edge AI deployment.
- Optimize performance-critical code paths for low-latency real-time applications.
- Collaborate with cross-functional teams to define and implement new features and integrate AI capabilities.
- Develop scalable architectures that balance computational needs with device limitations.
- Write clean, efficient, and maintainable code.
- Debug and resolve complex technical issues.
- Contribute to R&D for reducing model size while maintaining quality.
- Participate in code reviews and the full development lifecycle from prototyping to production.
- Stay current with emerging technologies and trends, including AI.
In-office location: Mountain View, California, United States. Candidates must be based in the SF Bay Area or willing to relocate (you will be working on-site in our South Bay office a few days a week).
The US base salary range for this full-time position is $200,000 - $250,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.
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