System Software Engineer, Python and C/C++ - Deep Learning at NVIDIA

Warsaw, Woj. Mazowieckie, Poland

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Artificial IntelligenceIndustries

Requirements

Excellent Python and C/C++ programming knowledge
8+ years of work experience in software development
Experience in design and implementation of complex systems with decoupled dependencies
Knowledge of design patterns and software engineering principles
Strong analytical skills, knowledge about algorithms and data structures
Strong time-management and organization skills for coordinating multiple initiatives, priorities and implementations of new technology and products into very complex projects
Good communication and documentation habits
Ability to work in a dynamic, fast-paced environment
Strong interpersonal skills

Responsibilities

Research, prototype, develop and optimize solutions, tools and libraries for deep learning, data analytics, machine learning, or scientific computing
Analyse, influence and improve deep learning libraries and frameworks standards and APIs according to good engineering practices
Collaborate with team members and other partners
Interact with internal partners, users, and members of the open source community to analyze, define and implement highly optimized solutions
Craft and implement new solutions, define APIs, performance tuning and analysis, analyze functionality coverage across multiple solutions, build larger, coherent AI toolset

Skills

Python

C/C++

Deep Learning

Machine Learning

Data Analytics

Algorithms

Data Structures

Design Patterns

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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