Senior System Software Engineer - Performance Lab at NVIDIA

Toronto, Ontario, Canada

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Graphics Rendering, DatacentersIndustries

Requirements

Bachelor’s degree in computer science
8+ years of experience
Desire to improve code quality by learning and applying computer science fundamentals, algorithms, and data structures
Comfort with teamwork, collaboration, and a desire to reach across functional borders to develop new partnerships
Active experience with Python

Responsibilities

Designing, implementing, and maintaining creative software solutions
Working closely with other teams on new projects, features, and improvements of existing products
Creatively applying fundamentals of AI, data engineering, data science and data visualization to enhance efficiency in generating performance data

Skills

Key technologies and capabilities for this role

PythonSQLNoSQLAlgorithmsData StructuresMachine LearningLarge Language ModelsData EngineeringData ScienceData VisualizationComputer Graphics

Questions & Answers

Common questions about this position

What is the base salary range for this Senior System Software Engineer role?

The base salary range is 142,500 CAD - 247,000 CAD, determined based on location, experience, and pay of employees in similar positions. You will also be eligible for equity and benefits.

Is this position remote or does it require working from an office?

This information is not specified in the job description.

What skills and experience are required for this role?

A Bachelor’s degree in computer science, 8+ years of experience, desire to improve code quality using computer science fundamentals, algorithms, and data structures, comfort with teamwork and collaboration, and active experience with Python are required.

What is the company culture like at NVIDIA's Performance Lab?

The team values passion, positive interactions with teammates, and offers chances for advancement and learning while working on cutting-edge technologies in AI, Graphics Rendering, and Datacenters.

What makes a candidate stand out for this position?

Candidates with background in data science and data engineering, experience with large language models for analytics or code generation, comfort with training and evaluating ML models, usage of SQL and NoSQL databases, and passion for computer graphics will stand out.

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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