[Remote] Senior AI Developer Technology Engineer, Financial Sector, Senior AI Developer Technology Engineer, Financial Sector
Note: The job is a remote job and is open to candidates in USA. NVIDIA is a leader in AI and computing technology, seeking a Senior AI Developer Technology Engineer for the financial sector. The role involves researching and developing techniques to GPU-accelerate workloads at the intersection of AI and financial markets, collaborating with technical experts to optimize performance, and influencing the design of next-generation hardware and software architectures.
Responsibilities
ā¢ In this position, you will research and develop techniques to GPU-accelerate high-performance workloads at the intersection of AI and financial markets
ā¢ Work directly with other technical experts in their fields (industry and academia) to perform in-depth analysis and optimization of complex AI and HPC workloads to ensure the best possible performance on modern CPU and GPU architectures
ā¢ Publish and present discovered optimization techniques in developer blogs or relevant conferences to engage and educate the Developer community
ā¢ Influence the design of next-generation hardware architectures, software, and programming models in collaboration with research, hardware, system software, libraries, and tools teams at NVIDIA
Skills
ā¢ An advanced degree in Computer Science, Computer Engineering, or related computationally focused science degree (or equivalent experience)
ā¢ You have 5+ years of relevant work or research experience
ā¢ Direct experience improving the performance of large computational applications used by financial institutions
ā¢ Excellent understanding of linear algebra
ā¢ Programming fluency in C/C++ with a deep understanding of algorithms and software design
ā¢ Hands-on experience with low-level parallel programming, e.g., CUDA, OpenACC, OpenMP, MPI, pthreads, TBB, etc
ā¢ In-depth expertise with CPU/GPU architecture fundamentals
ā¢ Good communication and organization skills, with a logical approach to problem solving, and prioritization skills
ā¢ A Master's or PhD in a relevant field is highly valued
ā¢ Prior work experience in capital markets with exposure to systematic/algorithmic strategies and quantitative trading
ā¢ Experience with parallelizing and optimizing machine learning algorithms like decision trees, time series, and Monte Carlo simulations
ā¢ Deep knowledge of financial data models, pricing/risk simulation algorithms, portfolio optimization, or other financial specific applications/ services
ā¢ Have developed ML/DL techniques in the finance space, such as stock market prediction, fraud detection, portfolio optimization/selection
Benefits
ā¢ You will also be eligible for equity and benefits.
Company Overview
ā¢ NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. It was founded in 1993, and is headquartered in Santa Clara, California, USA, with a workforce of 10001+ employees. Its website is https://www.nvidia.com.
Company H1B Sponsorship
ā¢ NVIDIA has a track record of offering H1B sponsorships, with 1877 in 2025, 1355 in 2024, 976 in 2023, 835 in 2022, 601 in 2021, 529 in 2020. Please note that this does not guarantee sponsorship for this specific role.
Apply Now
Apply Now
Responsibilities
ā¢ In this position, you will research and develop techniques to GPU-accelerate high-performance workloads at the intersection of AI and financial markets
ā¢ Work directly with other technical experts in their fields (industry and academia) to perform in-depth analysis and optimization of complex AI and HPC workloads to ensure the best possible performance on modern CPU and GPU architectures
ā¢ Publish and present discovered optimization techniques in developer blogs or relevant conferences to engage and educate the Developer community
ā¢ Influence the design of next-generation hardware architectures, software, and programming models in collaboration with research, hardware, system software, libraries, and tools teams at NVIDIA
Skills
ā¢ An advanced degree in Computer Science, Computer Engineering, or related computationally focused science degree (or equivalent experience)
ā¢ You have 5+ years of relevant work or research experience
ā¢ Direct experience improving the performance of large computational applications used by financial institutions
ā¢ Excellent understanding of linear algebra
ā¢ Programming fluency in C/C++ with a deep understanding of algorithms and software design
ā¢ Hands-on experience with low-level parallel programming, e.g., CUDA, OpenACC, OpenMP, MPI, pthreads, TBB, etc
ā¢ In-depth expertise with CPU/GPU architecture fundamentals
ā¢ Good communication and organization skills, with a logical approach to problem solving, and prioritization skills
ā¢ A Master's or PhD in a relevant field is highly valued
ā¢ Prior work experience in capital markets with exposure to systematic/algorithmic strategies and quantitative trading
ā¢ Experience with parallelizing and optimizing machine learning algorithms like decision trees, time series, and Monte Carlo simulations
ā¢ Deep knowledge of financial data models, pricing/risk simulation algorithms, portfolio optimization, or other financial specific applications/ services
ā¢ Have developed ML/DL techniques in the finance space, such as stock market prediction, fraud detection, portfolio optimization/selection
Benefits
ā¢ You will also be eligible for equity and benefits.
Company Overview
ā¢ NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. It was founded in 1993, and is headquartered in Santa Clara, California, USA, with a workforce of 10001+ employees. Its website is https://www.nvidia.com.
Company H1B Sponsorship
ā¢ NVIDIA has a track record of offering H1B sponsorships, with 1877 in 2025, 1355 in 2024, 976 in 2023, 835 in 2022, 601 in 2021, 529 in 2020. Please note that this does not guarantee sponsorship for this specific role.
Apply Now
Apply Now