Senior AI and FSI Developer Technology Engineer

Nvidia

Actively hiring
Us, Ca, Santa Clara, US Posted 48 days ago $152,000$241,500 / year

At a glance

AI generated

TL;DR

Join NVIDIA as a Senior AI Developer Technology Engineer and help drive innovation at the intersection of AI, high-performance computing, and financial services. You will collaborate with industry experts to develop cutting-edge techniques that accelerate complex workloads on GPUs and CPUs, optimize performance across various levels of system architecture, and present your findings globally. This role requires expertise in parallel programming (CUDA, OpenACC), proficiency in C/C++, a deep understanding of CPU/GPU architectures, and experience improving large-scale computational applications on GPUs. Ideal candidates also have background in financial markets, knowledge of linear algebra, and skills in deploying optimized AI models in production environments like TensorRT and cuTile. This position offers the chance to influence future hardware designs while contributing significantly to NVIDIA’s leadership in GPU-accelerated computing.

Skills

CUDA OpenACC C/C++ TensorRT TensorRT-LLM cuTile MPI pthread TBB Python PostgreSQL Kubernetes Docker CI/CD Prometheus Grafana

What you'll do

  • Research and develop innovative techniques to accelerate AI workloads on NVIDIA GPUs.
  • Analyze and optimize complex AI and HPC workloads for modern CPU and GPU architectures.
  • Profile and eliminate performance bottlenecks in algorithms, kernels, and system-level behavior.
  • Publish and present findings at conferences and through blogs to educate the developer community.
  • Collaborate with NVIDIA teams to influence future hardware and software product design.

What we're looking for

  • Master’s or PhD in Computer Science, Engineering, or equivalent experience.
  • Extensive hands-on experience with parallel programming (CUDA, OpenACC, etc.).
  • Deep understanding of CPU/GPU architecture and performance optimization.
  • Proficiency in C/C++ and strong foundations in algorithms and software design.
  • Proven track record of improving large-scale computational applications on GPUs.
  • Excellent communication skills and logical problem-solving approach.
  • Experience with financial data models and quantitative trading strategies.

Market check

Salary context

This $152,000–$241,500 range sits above 38% of similar postings on FindRole.

Peer median band

$178,400$261,150

Median floor and ceiling across peers.

Typical midpoint (25–75%)

$175,350$246,150

Middle half of comparable postings.

Based on 240 comparable postings.

* 240 is the maximum number of comparable postings sampled.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 802 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 798 roles with salary data.

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