Full-Time

Software Engineering Manager

Computer Vision Driver

Confirmed live in the last 24 hours

NVIDIA

NVIDIA

10,001+ employees

Designs GPUs and AI computing solutions

Automotive & Transportation
Enterprise Software
AI & Machine Learning
Gaming

Compensation Overview

$220k - $419.8kAnnually

+ Equity

Senior, Expert

California, USA + 1 more

More locations: Santa Clara, CA, USA

Hybrid position requiring in-office presence.

Category
Computer Vision
AI & Machine Learning
Engineering Management
Software Development Management
Software Engineering
Required Skills
Computer Vision
Requirements
  • Masters in CS/ECE/EE or equivalent experience in imaging science, computer vision or similar fields, with 7+ years of overall experience
  • 4+ years of management or senior technical leadership experience
  • Proven record of taking products to market
  • Expert knowledge of embedded software and system architecture
  • Proficient in crafting technical roadmaps, planning, and implementing our products
  • Hands-on technical leadership to model and nurture a professional engineering culture motivated by first-principles analysis, integrity, and pride in craftsmanship.
  • Proven ability to plan and execute projects on time and on budget
  • Excellent communication, presentation, and analytical skills to explain challenges, solutions, and tradeoffs clearly and simply to customers
  • Strong collaborative and interpersonal skills, able to exert influence within a dynamic and highly matrixed organization
Responsibilities
  • Define a strategy and roadmap to offload computer vision preconditioning (ensure images are free from sensor artifacts before we use it for AI compute) from the GPU to the VIC IP block. Take our current technology, connect to all markets where it can help, and evolve it.
  • Lead the VIC software team to develop user-space APIs, add new functionality to the user mode driver, and program the VIC firmware.
  • Look ahead to market opportunities and influence VIC engine functionality in future hardware and software designs
  • Collaborate across team boundaries to understand customer use cases and drive VIC adoption
  • Enabling critical safety systems in self-driving vehicles and robots by adhering to standards such as ISO 26262 and ASPICE

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.

Company Stage

IPO

Total Funding

$19.5M

Headquarters

Santa Clara, California

Founded

1993

Growth & Insights
Headcount

6 month growth

9%

1 year growth

27%

2 year growth

45%
Simplify Jobs

Simplify's Take

What believers are saying

  • NVIDIA's investment in Ayar Labs boosts scalable AI infrastructure with optical interconnect solutions.
  • Acquiring VinBrain enhances NVIDIA's AI capabilities in healthcare and smart city applications.
  • Participation in Nebius Group's funding expands NVIDIA's AI infrastructure across continents.

What critics are saying

  • Increased competition from Ayar Labs challenges NVIDIA's AI hardware market position.
  • VinBrain acquisition may face integration challenges, affecting operational efficiency.
  • Investment in Nebius Group could lead to internal competition for resources and market share.

What makes NVIDIA unique

  • NVIDIA leads in AI and HPC with cutting-edge GPU and SoC technologies.
  • The company excels in diverse markets: gaming, data centers, and autonomous vehicles.
  • NVIDIA's cloud services, like CloudXR, enhance scalable AI and machine learning applications.

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