NVIDIA

3 months ago

Senior AI and Quant DevTech Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 13 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: Santa Clara, New York

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: 4.3

Website LinkedIn Glassdoor

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NVIDIA

3 months ago

Senior AI and Quant DevTech Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 13 hours agoStatus: Live

Job Summary

Location: Santa Clara, New York

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

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: 4.3

Website LinkedIn Glassdoor