AI and FSI Developer Technology Engineer - New College Grad 2026

Nvidia

Actively hiring
Remote (Us, Ca, Santa Clara, US) Posted 49 days ago $124,000$195,500 / year

At a glance

AI generated

TL;DR

As an AI Developer Technology Engineer at our cutting-edge firm, you will work on the forefront of high-performance computing (HPC) and artificial intelligence in the financial services industry. Your daily tasks include researching, designing, and implementing innovative techniques to accelerate complex AI workloads on NVIDIA GPUs and CPUs, collaborating with leading experts to optimize performance across various levels of system architecture. You’ll also profile and eliminate bottlenecks, publish your findings, and influence future hardware designs by working closely with NVIDIA teams. Ideal candidates have a Master’s or PhD in Computer Science or related fields, experience with CUDA for parallel programming, proficiency in C/C++, and expertise in optimizing large-scale computational applications on GPUs. Additionally, knowledge of financial data models and optimization techniques is highly valued.

Skills

CUDA C/C++ GPU CPU TensorRT TensorRT-LLM cuTile Python Linux NVIDIA HPC CI/CD Git Docker Kubernetes PostgreSQL Redis MongoDB AWS Azure Grafana Prometheus

What you'll do

  • Research and develop techniques to accelerate high-performance AI workloads on NVIDIA GPUs.
  • Analyze and optimize complex AI and HPC workloads for modern CPU and GPU architectures.
  • Profile and eliminate performance bottlenecks across the entire system stack.
  • Publish and present findings in conferences, talks, and blogs to educate developers.
  • Influence future hardware and software design by collaborating with NVIDIA teams.

What we're looking for

  • Master’s or PhD in Computer Science, Engineering, or related field.
  • Experience with low-level parallel programming (e.g., CUDA).
  • Deep understanding of CPU/GPU architecture and performance impact.
  • Fluency in C/C++ and expertise in algorithms and software design.
  • Proven ability to improve GPU performance for large-scale applications.
  • Strong communication skills and logical problem-solving approach.
  • Background in capital markets with experience in quantitative trading.

Market check

Salary context

This $124,000–$195,500 range sits above 27% of similar postings on FindRole.

Peer median band

$152,000$241,500

Median floor and ceiling across peers.

Typical midpoint (25–75%)

$159,750$240,825

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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