Jobs · Information Technology · New York

Senior AI and Quant DevTech Engineer

NVIDIA AI · Santa Clara, NY · 3 days ago
HybridInformation TechnologyFull-time

About the role

We are seeking a software engineer with expertise in parallel processing and GPU architecture to contribute to cutting-edge projects at the intersection of AI, high-performance computing, and financial markets.

Responsibilities

  • Design and develop innovative techniques to accelerate high-performance workloads in AI, math, and financial systems.
  • Collaborate with leading technical experts to analyze, optimize, and scale complex AI and HPC workloads for modern CPU and GPU architectures.
  • Profile and eliminate performance bottlenecks across the stack, from algorithms to kernels to system-level behavior.
  • Publish and present your work in conferences, talks, and blogs to educate and inspire the broader developer community.
  • Influence the design of future hardware architectures, system software, libraries, and programming models by collaborating closely with NVIDIA research, hardware, compiler, and tools teams.

Requirements

  • Strong hands-on experience with CUDA and parallel programming.
  • Deep understanding of CPU/GPU architecture fundamentals and their impact on performance.
  • A Master’s or PhD in Computer Science, Computer Engineering, Electrical and Computer Engineering, or a related field.
  • Fluency in C/C++ and a solid foundation in algorithms and software design.
  • 5+ years of relevant work or research experience.
  • Proven experience improving the performance of large-scale computational applications on GPUs.
  • Excellent understanding of linear algebra.
  • Strong communication and organizational skills, with a logical approach to problem-solving and solid prioritization abilities.

Qualifications

  • Experience with inference optimization techniques and deploying optimized AI models in production.
  • Experience with TensorRT, TensorRT-LLM, and cuTile.
  • Experience parallelizing and optimizing machine learning methods such as decision trees, time-series models, and Monte Carlo simulations.

Benefits

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is $152,000 - $241,500 for Level 3, and $184,000 - $287,500 for Level 4. You will also be eligible for equity and benefits.

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