Full-Time

Senior Developer Technology Engineer

Compute

Posted on 12/7/2024

NVIDIA

NVIDIA

10,001+ employees

Designs GPUs and AI computing solutions

Automotive & Transportation
Enterprise Software
AI & Machine Learning
Gaming

Compensation Overview

$184k - $356.5kAnnually

+ Equity

Senior

Company Historically Provides H1B Sponsorship

Austin, TX, USA + 5 more

More locations: Redmond, WA, USA | Santa Clara, CA, USA | Durham, NC, USA | Hillsboro, OR, USA | Westford, MA, USA

Category
Backend Engineering
Software Engineering
Required Skills
CUDA
Data Structures & Algorithms
C/C++

You match the following NVIDIA's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
Requirements
  • A Masters or PhD (or additional equivalent experience) in Computer Engineering, Computer Science, or a domain science with a strong focus on the related computational methods.
  • 5+ years of relevant software development experience.
  • A passion for performance optimization.
  • Programming fluency in C/C++ and/or Fortran with a deep understanding of algorithms, programming techniques, and software design.
  • Hands-on and current experience with parallel programming, ideally CUDA or OpenACC, as well as MPI, OpenMP.
  • Strong mathematical fundamentals, including linear algebra and numerical methods.
  • Good communication and organization skills, with a logical approach to problem solving, good time management, and task prioritization skills.
Responsibilities
  • Research and develop techniques to accelerate leading applications in high performance computing fields within scientific computing or computational engineering.
  • Work directly with other technical experts in their fields (industry and academia) to understand and address their computational problems as their field evolves.
  • Perform in-depth analysis and optimization to ensure the best possible performance on the current and next generation of NVIDIA GPUs, CPUs (Arm and x86 architectures), and/or network architectures.
  • Craft and optimize core parallel algorithms and data structures to provide the best solutions using the NVIDIA platform.
  • Guide key application developers, contribute directly to the applications, and develop reference codes and libraries.
  • Publish and present discovered optimization techniques in developer blogs or relevant conferences to engage and educate the developer community.
  • Influence the design of next-generation hardware architectures, software, and programming models in collaboration with research, hardware, system software, libraries, and tools teams at NVIDIA.
  • Occasional travel for conferences and on-site visits with developers.

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC). These products help developers, data scientists, and IT administrators perform complex tasks efficiently. NVIDIA differentiates itself from competitors by focusing on technological advancements and a diverse range of applications, including cloud-based services like NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. The company's goal is to drive innovation in computing and provide effective solutions for a wide array of clients, from gamers to enterprises.

Company Stage

IPO

Total Funding

$19.5M

Headquarters

Santa Clara, California

Founded

1993

Growth & Insights
Headcount

6 month growth

0%

1 year growth

0%

2 year growth

-1%
Simplify Jobs

Simplify's Take

What believers are saying

  • Acquisition of VinBrain enhances NVIDIA's AI-driven healthcare solutions.
  • Investment in Nebius Group boosts NVIDIA's AI infrastructure capabilities.
  • Partnership with Serve Robotics aligns with NVIDIA's focus on robotics and AI applications.

What critics are saying

  • Increased competition from AI startups like xAI challenges NVIDIA's market position.
  • Serve Robotics' rapid expansion may lead to financial strain if market growth lags.
  • Integration challenges from VinBrain acquisition may affect NVIDIA's operational efficiency.

What makes NVIDIA unique

  • NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.
  • The Omniverse platform enhances NVIDIA's capabilities in industrial AI and digital twins.
  • NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

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Benefits

Company Equity

401(k) Company Match

INACTIVE