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

Poland

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Biotechnology, Artificial Intelligence, Deep Learning, Software DevelopmentIndustries

Requirements

Candidates must possess excellent Python and C/C++ programming knowledge with over 8 years of software development experience. A strong understanding of sophisticated system design and implementation with decoupled dependencies, along with knowledge of design patterns and software engineering principles, is required. Strong analytical skills, familiarity with algorithms and data structures, excellent time management and organizational skills, and good communication and documentation habits are also necessary. The ability to work in a dynamic, fast-paced environment and strong interpersonal skills are essential.

Responsibilities

The role involves researching, prototyping, developing, and optimizing solutions, tools, and libraries for deep learning, data analytics, machine learning, or scientific computing. Responsibilities include analyzing, influencing, and improving deep learning libraries and frameworks standards and APIs according to good engineering practices. The engineer will collaborate with team members and other partners, interact with internal partners, users, and the open-source community to analyze, define, and implement highly optimized solutions. This includes crafting and implementing new solutions, defining APIs, performance tuning and analysis, analyzing functionality coverage, and building larger, coherent AI toolsets.

Skills

Python

C/C++

Deep Learning

Data Analytics

Machine Learning

Scientific Computing

API Design

Performance Tuning

Algorithms

Data Structures

Software Engineering Principles

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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