
AI Developer – Financial Sector, New College Grad
NVIDIA
full-time
Posted on:
Location Type: Hybrid
Location: Santa Clara • California • New York • United States
Visit company websiteExplore more
Salary
💰 $124,000 - $241,500 per year
About the role
- Research and develop techniques to GPU-accelerate high-performance workloads at the intersection of AI and financial markets
- 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
- Publish and present discovered optimization techniques in developer blogs or relevant conferences to engage and educate the Developer community
- 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
Requirements
- Pursuing or recently completed a BS, MS or PhD in Computer Science, Computer Engineering, or related field
- Relevant work or research experience
- Experience improving the performance of large computational applications used by financial institutions
- Understanding of linear algebra
- Programming fluency in C/C++ with a deep understanding of algorithms and software design
- Hands-on experience with low-level parallel programming, e.g., CUDA, OpenACC, OpenMP, MPI, pthreads, TBB, etc.
- Experience with CPU/GPU architecture fundamentals
- Good communication and organization skills, with a logical approach to problem solving, and prioritization skills.
Benefits
- Equity
- Benefits 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
CC++algorithmssoftware designCUDAOpenACCOpenMPMPIpthreadsTBB
Soft Skills
communicationorganizationproblem solvingprioritization