About the Role
The engineer will design, implement, and maintain core runtime components that ensure efficient execution of AI workloads across diverse environments.
Responsibilities
- Design and build low-level runtime infrastructure for AI-driven applications
- Optimize performance and reliability of execution environments
- Collaborate with research and product teams to integrate new capabilities
- Diagnose and resolve complex system-level issues
- Ensure runtime compatibility across multiple hardware platforms
- Develop tools for monitoring and debugging runtime behavior
- Contribute to architectural decisions for scalable systems
- Maintain documentation for runtime components and APIs
- Implement security measures within execution environments
- Support deployment and scaling of runtime services
- Work closely with testing teams to ensure system stability
- Improve startup time and memory efficiency
- Refactor legacy code to meet evolving performance standards
- Participate in code reviews and technical planning sessions
- Stay current with advancements in runtime technologies
Nice to Have
- Master’s degree in computer science or engineering
- Contributions to open-source runtime projects
- Experience with JIT compilation or interpreters
- Knowledge of AI/ML inference pipelines
- Familiarity with WebAssembly or similar sandboxed environments
- Background in real-time systems development
- Published work in systems or programming language research
Compensation
Competitive salary and benefits package
Work Arrangement
Hybrid work model with flexible remote options
Team
Collaborative engineering team focused on runtime systems
Tech Stack
- Primary languages include C++ and Rust
- Tools: Git, CI/CD pipelines, Docker, Kubernetes
- Platforms: Linux, x86 and ARM architectures
Impact
- Your work will directly influence the efficiency and scalability of AI execution environments
- You will help shape the foundation that enables rapid deployment of intelligent applications
Available for qualified candidates
