[Remote] Senior Software Engineer - Image and Data Processing Libraries at NVIDIA

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Computer Hardware, Software Development, Artificial Intelligence, Data & AnalyticsIndustries

Skills

Key technologies and capabilities for this role

GPU accelerationCUDAC++CSoftware designParallel numerical applicationsPerformance tuningOptimizationBenchmarkingAlgorithm developmentLibrary software developmentCPU hardware architectureGPU hardware architectureImage processingData processing

Questions & Answers

Common questions about this position

What education and experience are required for this Senior Software Engineer role?

A PhD or MSc in Computational Science, Computer Science, Applied Math, or related field is preferred (or equivalent experience), along with 5+ years of experience developing, debugging, and optimizing high-performance parallel numerical applications on modern platforms with GPU acceleration using CUDA.

What are the top technical skills needed for this position?

Excellent C/C++ programming and software design skills are required, along with experience in performance tuning, optimization, and benchmarking on various architectures, particularly with CUDA for GPU acceleration.

What is the salary and benefits package like at NVIDIA?

NVIDIA offers highly competitive salaries and an extensive benefits package.

What is the work arrangement or location policy for this role?

This information is not specified in the job description.

What makes a candidate stand out for this position?

Candidates stand out with good knowledge of CPU/GPU hardware architecture, experience with CI/CD systems and tools like JIRA, working in globally distributed organizations, advanced debugging/profiling/testing skills, and proficiency in a scripting language like Python.

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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