Senior AI Developer Technology Engineer, Financial Sector

NVIDIA
United States
Workplace: HybridFull timeUSD 152,000 - 287,500 annuallyFunction: Software EngineeringExperience: 5+ yearsEducation: mastersSkills: ["Communication","Organization","Problem solving","Prioritization"]

Research and develop GPU-accelerated techniques for high-performance AI and financial workloads. Collaborate with experts to analyze and optimize complex AI/HPC applications across CPU and GPU architectures, identify and eliminate system bottlenecks, and share results through developer blogs and conferences. Partner with research, hardware, system software, and tools teams to shape next-generation hardware architectures, software, and programming models for financial institutions.

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FursaFursa
NVIDIA
NVIDIA
6 months ago

Senior AI Developer Technology Engineer, Financial Sector

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 22 hours agoStatus: Live

Job Summary

Research and develop GPU-accelerated techniques for high-performance AI and financial workloads. Collaborate with experts to analyze and optimize complex AI/HPC applications across CPU and GPU architectures, identify and eliminate system bottlenecks, and share results through developer blogs and conferences. Partner with research, hardware, system software, and tools teams to shape next-generation hardware architectures, software, and programming models for financial institutions.
Location: United States
Workplace: Hybrid
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Research and develop techniques to GPU-accelerate high-performance workloads at the intersection of AI and financial markets.
  • •Analyze and optimize complex AI and HPC workloads for best performance on modern CPU and GPU architectures.
  • •Investigate and eliminate system bottlenecks to improve throughput and performance.
  • •Publish and present discovered optimization techniques in developer blogs and/or relevant conferences.
  • •Collaborate across research, hardware, system software, libraries, and tools teams to influence next-generation hardware architectures and programming models.

Pay and Benefits

Salary: USD 152,000 - 287,500 annually
Equity and Bonus:Equity

Key Requirements

  • •Advanced degree in Computer Science, Computer Engineering, or a related computational science field (or equivalent experience).
  • •5+ years of relevant work or research experience.
  • •Direct experience improving performance of large computational applications used by financial institutions.
  • •Programming fluency in C/C++ with strong algorithms knowledge and software design.
  • •Hands-on low-level parallel programming experience (e.g., CUDA, OpenACC, OpenMP, MPI, pthreads, TBB).
Experience:5+ yearsAIHPCFinancial servicesCapital marketsQuantitative trading
Education:Master's
Skills:CommunicationOrganizationProblem solvingPrioritization
Tech Stack:GPUCUDAOpenACCOpenMPMPIPthreadsTBBCC++CPU architectureGPU architecture

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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