Senior DevOps Engineer - Accelerated Computing at NVIDIA

Warsaw, Woj. Mazowieckie, Poland

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, High Performance Computing, TechnologyIndustries

Requirements

6+ years of relevant industry experience
Proficient with Linux
Bachelor's degree in a related area of study or equivalent experience
Expert with scripting in one or more of Python, Perl, shell, Groovy, etc
Strong background with deploying, configuring, and debugging distributed systems
Familiar with the software build process (e.g., compiling C++ code with GNU Make, CMake, Visual Studio, MSBuild, etc.)
Background with some form of source control management (SCM), preferably git
Familiar with containers

Responsibilities

Running a lot of builds and tests on a lot of architectures, operating systems, and devices
Collecting a lot of data and working collaboratively to brainstorm and build infrastructure and tools to make sense of it all
Building relationships that allow us to work together as a team, not a group
Working in a highly dynamic environment where we have to think on our feet

Skills

Key technologies and capabilities for this role

LinuxPythonPerlShellGroovyGitContainersCMakeGNU MakeMSBuildDistributed SystemsHPCGPU

Questions & Answers

Common questions about this position

What experience level is required for this Senior DevOps Engineer role?

The position requires 6+ years of relevant industry experience.

What key technical skills are needed for this position?

Candidates must be proficient with Linux, expert with scripting in languages like Python, Perl, shell, or Groovy, have a strong background with deploying, configuring, and debugging distributed systems, be familiar with the software build process such as compiling C++ code with GNU Make or CMake, have background with source control management like git, and be familiar with containers.

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

The position is hybrid.

What qualities or experiences make a candidate stand out?

Ways to stand out include experience with HPC hardware systems, system administrator level experience with multi-user Linux servers, background with GPU accelerated systems, and experience working in an Agile environment.

What is the company culture like at NVIDIA for this team?

The team emphasizes strong integrity, reliability, persistence, problem-solving, building relationships to work collaboratively as a team, and thriving in a highly dynamic environment; NVIDIA seeks creative and autonomous individuals who love challenges.

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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