Senior Software Engineer (C++ Focus)

About Inworld

At Inworld, we believe the processes of building, scaling, and evolving applications are monsters that consume value before it can reach users. Our mission is to solve evolution and transform static software into AI systems that autonomously evolve to better serve their users. We are building an intelligent runtime to conquer these monsters and make this vision a reality.

We are backed by investors such as Lightspeed, Section 32, Kleiner Perkins, Microsoft’s M12 venture fund, BITKRAFT, Founders Fund, and First Spark Ventures. Our technology is used by category leaders, including NVIDIA, Microsoft Xbox, Niantic, Wishroll, Little Umbrella and Streamlabs, among many others. Inworld has been recognized by CB Insights as one of the 100 most promising AI companies globally and has been named one of LinkedIn's Top 10 Startups 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.