Software Engineer, Benchmarking and Analytics at NVIDIA

Tel Aviv-Yafo, TA, Israel

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, HPC, NetworkingIndustries

Requirements

B.Sc. in Computer Science, or a related engineering field
3+ years of professional software development experience
A proven track record of technical ownership, driving a technical agenda, and problem solving
High-level Python development skills, building robust, well-structured, production-grade applications
C/C++ experience, especially for performance-critical or low-level components
Experience with modern CI/CD pipelines and DevOps practices

Responsibilities

Design and implement performance benchmarking and analysis frameworks for next-generation AI and HPC workloads
Work across Python (primary) and C/C++ (for performance-critical modules) to deliver reliable and scalable tools
Take full technical ownership of our core telemetry engine, including utilizing Jupyter Notebooks and other data analysis frameworks to help performance engineers analyze telemetry results
Contribute to our DevOps environment, owning the CI/CD pipelines and release processes for your projects
Drive technical innovation in the performance engineering ecosystem, including taking part in building our next-gen agentic AI assistant

Skills

Key technologies and capabilities for this role

PythonC++CJupyter NotebooksCI/CDDevOpsBenchmarkingTelemetryPerformance AnalysisNetworkingDistributed ComputingAIHPC

Questions & Answers

Common questions about this position

What programming languages will I be working with in this role?

You will primarily work in Python for benchmarking and analysis systems, while contributing to high-performance components in C/C++.

What are the required qualifications for this Software Engineer position?

Candidates need a B.Sc. in Computer Science or related field, 3+ years of professional software development experience, proven technical ownership, high-level Python skills for production-grade apps, C/C++ experience for performance-critical components, and experience with modern CI/CD pipelines and DevOps.

What is the salary and benefits like at NVIDIA for this role?

NVIDIA offers highly competitive salaries and a comprehensive benefits package. More details are available at www.nvidiabenefits.com/NV.

Is this a remote position, or is there a location requirement?

This information is not specified in the job description.

What experiences help me stand out as a candidate?

Stand out with Linux systems knowledge including packaging, Python data analysis frameworks like pandas and NumPy, experience with Slurm Kubernetes or MPI, familiarity with agentic AI frameworks like LangChain, and open-source contributions.

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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