Senior System Software Engineer - AI Performance and Efficiency Tools at NVIDIA

Santa Clara, California, United States

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$184,000 – $356,500Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Artificial Intelligence, SemiconductorIndustries

Requirements

BS + 5+ years of software development experience in Computer Science or related field
Strong skills in design, coding (C++ and Python), analytical, and debugging
Good understanding of Deep Learning frameworks like PyTorch and TensorFlow
Knowledge of distributed training and inference
Familiarity with GPU cluster job scheduling (Slurm or Kubernetes)
Experience with storage and networking technologies
Experience with NVIDIA GPUs, CUDA Programming, and NCCL
Motivated self-starter with strong problem-solving skills and customer-facing communication skills
Passion for continuous learning

Responsibilities

Build internal profiling and analysis tools for AI workloads at large scale
Build debugging tools for common encountered problems like memory or networking
Create benchmarking and simulation technologies for AI systems or GPU clusters
Partner with HW architects to propose new features or improve existing features with real-world use cases
Work with users from different departments (Architecture, Software teams)
Contribute to delivering intuitive, rich, and accurate insights into workloads and systems
Empower users to find opportunities in software and hardware, build high-level models, and deliver the best hardware and software to customers
Debug tricky failures and issues to improve system performance and efficiency

Skills

C++

Python

PyTorch

TensorFlow

CUDA

NCCL

Slurm

Kubernetes

Distributed Training

GPU Programming

Debugging

Profiling

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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