Senior Developer Technology Engineer at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

TechnologyIndustries

Requirements

Masters degree in Computer Science, Computer Engineering, or related computationally focused science degree (or equivalent experience)
8+ years of relevant work experience or research
Programming proficiency in C/C++ with a deep understanding of software design, programming techniques, and algorithms
Background that includes parallel programming, ideally CUDA C/C++
Hands on experience doing low-level performance optimizations
In-depth expertise with CPU and GPU architecture fundamentals
Strong mathematical fundamentals, including linear algebra and numerical methods
Good communication and organization skills, with a logical approach to problem solving, and prioritization skills

Responsibilities

Research and develop techniques to accelerate top CSP workloads on NVIDIA’s computing platform including advanced CPUs, GPUs and interconnects
Work directly with key customers to perform in-depth analysis and optimization of complex workloads to ensure the best possible performance on current and next-generation hardware
Collaborate with libraries, tools, system software architecture, hardware, and research teams at NVIDIA to influence the design of next-generation programming models, software, and architectures

Skills

Key technologies and capabilities for this role

C/C++CUDAparallel programmingperformance optimizationCPU architectureGPU architecturelinear algebranumerical methodsalgorithmssoftware design

Questions & Answers

Common questions about this position

What is the salary for this Senior Developer Technology Engineer position?

This information is not specified in the job description.

Is this a remote position or what is the location requirement?

This information is not specified in the job description.

What skills are required for this role?

Required skills include a Masters degree in Computer Science or related field (or equivalent), 8+ years of relevant experience, programming proficiency in C/C++ with deep understanding of software design and algorithms, parallel programming ideally in CUDA C/C++, hands-on low-level performance optimizations, in-depth CPU and GPU architecture expertise, strong mathematical fundamentals, and good communication skills.

What is the company culture like for NVIDIA's Developer Technology Engineering team?

The team is a global network of world-class experts focused on revolutionizing industries through accelerated computing, collaborating with customers, internal teams, and publishing findings to represent NVIDIA as a technology leader.

What makes a candidate stand out for this position?

Candidates stand out with experience designing highly optimal parallel algorithms and data structures for high bytes-to-compute ratio applications, optimizing end-to-end performance across software layers, or influencing hardware feature design through application expertise.

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

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) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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