NVIDIA

Software Engineering Manager - Image and Data Compression Libraries

California, United States

$200,000 – $322,000Compensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Semiconductors, Artificial Intelligence, Deep Learning, Software DevelopmentIndustries

Requirements

Candidates should possess a Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Applied Math, or a related field, or equivalent experience, and at least five years of overall experience, including three or more in team management with strong interpersonal and leadership skills. Proficiency in C++ and Python is required, demonstrating technical versatility, and experience in designing and testing large-scale software is preferred.

Responsibilities

As a Software Engineering Manager, you will be responsible for managing a team of engineers focused on the development of accelerated image and data processing solutions, leading and empowering the team to meet project goals and scope, building and maintaining a project roadmap, determining project goals and execution, fostering an inclusive environment, and collaborating with the open source community.

Skills

C++
Python
Image processing
Algorithms
Parallel programming
CUDA
MPI
NVSHMEM
AVX
Team management
Leadership
Communication
Open-source collaboration
Performance optimization

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.

Key Metrics

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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