AI software application developers (CG)
Tasks
- Analyze and optimize system bottlenecks across hardware and software stacks
- Build distributed software components for compute communication storage scheduling and resource management
- Collaborate to evaluate emerging technologies and develop next generation AI solutions
- Contribute to AI software architecture prototyping benchmarking and performance analysis
- Design AI applications and infrastructure
- Develop scalable AI training inference and model serving systems
- Research and implement AI performance scalability reliability and efficiency improvements
- Stay current with advancements in AI machine learning distributed systems and software engineering
Perks/Benefits
Skills/Tech-stack
Algorithms | Benchmarking | C plus plus | C# | Computer Architecture | Data Structures | Deep learning | Distributed Systems | JAX | LLM | Learning Agents | Machine Learning | Model Serving | Networking | Operating Systems | Performance optimization | PyTorch | Python | Reinforcement Learning | Reinforcement Learning Agents | Resource Management | Rust | Scheduling | Software Engineering | Storage Systems | TensorFlow
Education
Roles
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