Senior AI and Quant DevTech Engineer

NVIDIA
United States
Workplace: HybridFull timeUSD 152,000 - 241,500 annuallyFunction: Software EngineeringExperience: 5+ yearsEducation: mastersSkills: ["Communication","Organization","Problem-solving","Leadership"]

Senior AI Developer Technology Engineer focused on accelerating high-performance AI and HPC workloads for the Financial Services Industry, optimizing CPU/GPU architectures, and influencing future hardware/software design through collaboration with NVIDIA teams.

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FursaFursa
NVIDIA
NVIDIA
5 months ago

Senior AI and Quant DevTech Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live

Job Summary

Senior AI Developer Technology Engineer focused on accelerating high-performance AI and HPC workloads for the Financial Services Industry, optimizing CPU/GPU architectures, and influencing future hardware/software design through collaboration with NVIDIA teams.
Location: United States
Workplace: Hybrid
Employment Type: Full time
Job Function: Software Engineering

Key Responsibilities

  • •Research, design, and develop techniques to accelerate high-performance workloads for FSI-focused AI on NVIDIA CPUs and GPUs
  • •Collaborate with experts to analyze, optimize, and scale complex AI and HPC workloads for modern CPU and GPU architectures
  • •Profile and eliminate performance bottlenecks across the stack—from algorithms to kernels to system-level behavior
  • •Publish and present work at conferences, talks, and blogs to educate and inspire the developer community
  • •Influence the design of future hardware architectures, system software, libraries, and programming models by collaborating with NVIDIA research, hardware, compiler, and tools teams

Pay and Benefits

Salary: USD 152,000 - 241,500 annually
Equity and Bonus:Equity
Perks:Equity

Key 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
Experience:5+ yearsFSIAIHPCGPU computing
Education:Master's
Skills:CommunicationOrganizationProblem-solvingLeadership
Languages:English
Tech Stack:CUDAOpenACCOpenMPMPIPthreadsTBBC++CGPUCPU

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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