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

Position Overview

  • Location Type: Hybrid
  • Employment Type: Full time
  • Salary: $200,000 - $322,000 USD (Base Salary)

NVIDIA is seeking a Software Engineering Manager to lead a team developing accelerated image and data processing solutions. This role involves managing a team of engineers, defining project roadmaps, and fostering a collaborative environment. The position focuses on meeting both internal and external customer needs and pushing the boundaries of technology.

Requirements

  • Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Applied Math, or a related field, or equivalent experience.
  • Experience:
    • At least five years of overall experience.
    • Three or more years in team management with strong interpersonal and leadership skills.
    • Demonstrated experience in designing and testing large-scale software.
  • Technical Skills:
    • Proficiency in C++ and Python.
    • Strong communication skills for collaboration with the open-source community.

Responsibilities

  • Lead and empower a team of highly skilled engineers.
  • Conduct projects that meet both internal and external customer needs.
  • Build and maintain a project roadmap aligned with goals and expectations.
  • Determine project goals and scope, ensuring successful execution and delivery.
  • Foster an inclusive and collaborative environment that promotes innovation and creativity.

Ways to Stand Out

  • Experience with image processing concepts and algorithms.
  • Knowledge of image and data compression formats and algorithms.
  • Expertise in parallel programming and performance optimization (e.g., CUDA, MPI, NVSHMEM, AVX).
  • Prior experience working with distributed teams.

Company Information

NVIDIA is a global leader in technology, specializing in artificial intelligence and deep learning. They are committed to fostering a diverse work environment and offer competitive compensation, equity, and benefits. NVIDIA accepts applications on an ongoing basis.

#LI-Hybrid

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.

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.

Land your dream remote job 3x faster with AI