We are seeking an experienced AI Performance Engineer to lead the innovation behind our chip-based acceleration systems. This role demands a deep understanding of hardware-software co-design, AI model optimization, and performance tuning for real-world applications.

‍

Key Responsibilities:

‍

Analyze chip usage patterns to identify bottlenecks and optimization opportunities.
Collaborate with hardware and ML teams to fine-tune system architecture.
Benchmark performance across various AI workflows and datasets.
Optimize code for real-time inference acceleration.
Contribute to documentation and knowledge sharing.

‍

Requirements:

‍

Degree in Computer or Electrical Engineering.
3+ years of experience in AI optimization or chip tuning.
Knowledge of CUDA, TensorRT, or similar frameworks.
Strong debugging and analytical skills.

‍

Key Benefits:

‍

Competitive compensation
Flexible working hours
Health and wellness coverage
Learning & development support
Work with an elite AI team

‍

Why Join ChipX.AI?

‍

ChipX is at the forefront of AI chip innovation. As part of our team, you'll contribute to solutions that empower next-gen creators and developers. If you're driven by performance, impact, and technology—this is the place for you.