Senior Python DL Automation Engineer, Deep Learning Algorithms at NVIDIA

Warsaw, Woj. Mazowieckie, Poland

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, TechnologyIndustries

Requirements

BSc or MS degree in Computer Science, Software Architecture or related engineering field
5+ years of work experience in software development
Excellent Python programming and system design skills
Understanding of Deep Learning foundations, allowing benchmarking on DL models and AI services
Strong analytical and problem-solving skills, and a proactive, data-driven approach
Effective time-management and organization skills for coordinating multiple initiatives, priorities, and implementations of new technology and products into very complex projects
Effective communication, an open-minded attitude, and comprehensive documentation practices
Ability to work in a multifaceted, fast-paced environment with strong social skills

Responsibilities

Automating and optimizing testing of deep learning models and AI services from different domains, with a focus on inference
Developing shared utilities for setting up systems, running tests, and recording results
Configuring, maintaining, and building upon deployments of industry-standard tools
Lead best practices for building, testing, and releasing software, including AI services and Deep Learning models, and documenting them
Identifying infrastructure needs and translating them into action
Building tools for automatic content generation mechanisms that save dozens of engineering hours
Collaborate with internal partners, users, and the open-source community to develop and implement solutions for building, testing, integrating, and releasing NVIDIA AI services and deep learning frameworks on enterprise-grade GPU clusters
Work with internal engineering teams to deploy and operationalize AI models and services at scale by driving adoption for end-to-end AI solutions in the cloud and on-prem
Implementing and maintaining tools and infrastructure that enable teams to productize the NVIDIA software stack, from deep learning frameworks to deep learning models and AI services

Skills

Python

Deep Learning

Automation

Testing

Inference

GPU

AI Services

Cloud

DevOps

Infrastructure

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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