Join NVIDIA’s Developer Technology Team as a Senior AI Developer Technology Engineer specializing in the financial sector. In this role, you will research and develop techniques to optimize high-performance workloads at the intersection of AI and finance on modern CPU and GPU architectures. You’ll collaborate with industry experts and academics to analyze complex AI and HPC applications, publish optimization findings, and influence next-generation hardware and software designs. Essential skills include advanced degrees in Computer Science or related fields, 5+ years of experience improving financial institution workloads, proficiency in C/C++, and expertise in parallel programming tools like CUDA and OpenACC. Ideal candidates also have hands-on experience with financial data models, pricing/risk simulation algorithms, and machine learning techniques specific to finance, such as stock market prediction and fraud detection.
Skills
CUDA
C++
OpenACC
OpenMP
MPI
pthread
TBB
GPU
CPU
linear_algebra
machine_learning
decision_trees
time_series
Monte_Carlo_simulations
financial_data_models
pricing_risk_simulation
portfolio_optimization
stock_market_prediction
fraud_detection
quantitative_trading
parallel_programming
HPC
AI
What you'll do
Research and develop techniques to GPU-accelerate high-performance AI workloads in financial markets.
Analyze and optimize complex AI and HPC workloads on modern CPU and GPU architectures with industry experts.
Publish optimization techniques for developer blogs or relevant conferences to educate the community.
Influence design of next-generation hardware, software, and programming models at NVIDIA.
Investigate and eliminate system bottlenecks to achieve optimal performance on cutting-edge computing platforms.
What we're looking for
5+ years of relevant experience improving performance of large computational applications used by financial institutions.
Advanced degree (Master’s or PhD) in Computer Science, Engineering, or related computationally focused science.
Expertise in linear algebra and programming fluency in C/C++ with deep understanding of algorithms and software design.
Hands-on experience with low-level parallel programming techniques such as CUDA, OpenACC, MPI, pthreads, etc.
In-depth knowledge of CPU/GPU architecture fundamentals and financial data models like pricing/risk simulation algorithms.
Market check
Salary context
Competitive pay
How this pay compares to similar roles
Similar $206k
This role $197k
$141k
most similar roles pay here
$258k
This role pays less than
58%
of similar roles. Most pay
$165,852–$246,150
— the shaded band above.
At the midpoint, this role pays about
$197k
versus about
$206k
for comparable roles.
Based on 240 similar postings.
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
824 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 812 roles with salary data.