
AI Developer, FSI
NVIDIA
full-time
Posted on:
Location Type: Hybrid
Location: Santa Clara • California • New York • United States
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Salary
💰 $124,000 - $195,500 per year
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 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
- Pursuing or recently completed a Master’s or PhD degree (or equivalent experience) in Computer Science, Computer Engineering, or Electrical and Computer Engineering or related field.
- Relevant work or research experience.
- Experience with low-level parallel programming (e.g., CUDA).
- Deep understanding of CPU/GPU architecture fundamentals and how they impact performance.
- Fluency in C/C++ and solid foundations in algorithms and software design.
- Experience improving the performance of large-scale computational applications on GPUs.
- Good understanding of linear algebra.
- Strong communication and organization skills, with a logical approach to problem solving and solid prioritization abilities.
Benefits
- equity
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Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
CUDACC++parallel programmingalgorithmssoftware designperformance optimizationlinear algebraCPU architectureGPU architecture
Soft Skills
communicationorganizationproblem solvingprioritization
Certifications
Master’s degreePhD degree