Ai And Fsi Developer Technology Engineer - New College Grad 2026

Invidia

Multiple Locations
Base: 124,000 usd - 195,500 usd (level 2); 152,000...
Low-level parallel programming (cuda)
Cpu/gpu architecture fundamentals
C/c++ fluency
Researching, designing, and developing groundbreaking techniques to accelerate high-performance workloads for FSI-focused, pioneering AI on NVIDIA CPUs and GPUs

Job Summary

  • Researching, designing, and developing groundbreaking techniques to accelerate high-performance workloads for FSI-focused, pioneering AI on NVIDIA CPUs and GPUs.
  • Publishing and presenting your work in conferences, talks, and blogs to educate and inspire the broader developer community.
  • Influencing the design of future hardware architectures, system software, libraries, and programming models by collaborating closely with NVIDIA research, hardware, compiler, and tools teams.

Matching Summary

Researching, designing, and developing groundbreaking techniques to accelerate high-performance workloads for FSI-focused, pioneering AI on NVIDIA CPUs and GPUs.

Salary

Base: 124,000 USD - 195,500 USD (Level 2); 152,000 USD - 241,500 USD (Level 3); Bonus/Equity: Eligible for equity; Benefits: Eligible for benefits

Skills & Requirements

Must-have

  • low-level parallel programming (CUDA)
  • CPU/GPU architecture fundamentals
  • C/C++ fluency
  • large-scale computational applications on GPUs
  • linear algebra understanding

Nice-to-have

  • inference optimization techniques
  • deploying optimized AI models
  • capital markets background
  • quantitative trading experience
  • machine learning methods optimization

Key Requirements

  • Master's or PhD degree or equivalent experience
  • Relevant work or research experience
  • Experience improving performance of large-scale computational applications on GPUs
  • Strong communication and organization skills

Work Rights

Not specified

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