
Senior AI, FSI Developer – Technology Engineer
NVIDIA
full-time
Posted on:
Location Type: Hybrid
Location: Santa Clara • California • New York • United States
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Salary
💰 $152,000 - $287,500 per year
Job Level
About the role
- Researching, designing, and developing groundbreaking techniques to accelerate high-performance workloads for FSI-focused, pioneering AI on NVIDIA CPUs and GPUs
- Working hands-on with leading technical experts to analyze, optimize, and scale complex AI and HPC workloads for modern CPU and GPU architectures
- Profiling and eliminating performance bottlenecks across the stack: from algorithms to kernels to system-level behavior
- Publishing and presenting your work in conferences, talks, and blogs to educate and inspire the broader developer community
- Influencing the design of future hardware architectures, system software, libraries, and programming models by collaborating closely with NVIDIA research, hardware, compiler, and tools teams
Requirements
- Master’s or PhD in Computer Science, Computer Engineering, or Electrical and Computer Engineering (or equivalent experience)
- Strong, hands-on experience with low-level parallel programming (e.g., CUDA, OpenACC, OpenMP, MPI, pthreads, TBB, etc.)
- Deep understanding of CPU/GPU architecture fundamentals and how they impact performance
- Fluency in C/C++ and solid foundations in algorithms and software design
- 5+ years of relevant work or research experience
- Proven experience improving the performance of large-scale computational applications on GPUs
- Excellent understanding of linear algebra
Benefits
- equity
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Applicant Tracking System Keywords
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Hard Skills & Tools
CUDAOpenACCOpenMPMPIpthreadsTBBCC++algorithmssoftware design
Soft Skills
collaborationcommunicationpresentationresearchproblem-solving
Certifications
Master’s in Computer SciencePhD in Computer ScienceMaster’s in Computer EngineeringPhD in Computer EngineeringMaster’s in Electrical and Computer EngineeringPhD in Electrical and Computer Engineering