Full-Time

Research Scientist

ML Systems

Confirmed live in the last 24 hours

NVIDIA

NVIDIA

10,001+ employees

Designs and manufactures GPUs and AI solutions

Enterprise Software
AI & Machine Learning
Gaming

Compensation Overview

$160k - $253kAnnually

+ Equity

Entry

Austin, TX, USA + 4 more

More locations: Remote in USA | Redmond, WA, USA | Santa Clara, CA, USA | Westford, MA, USA

Hybrid positions available in Santa Clara, Westford, Austin, and Redmond; remote option available in California.

Category
Applied Machine Learning
AI Research
AI & Machine Learning
Required Skills
Python
Data Structures & Algorithms
Operating Systems
C/C++
Requirements
  • You have a Ph.D. in CS/CE/EE with a strong background in operating systems, distributed systems, training/inference systems, data management systems, networking, cloud computing, and/or computer architecture (or equivalent experience). A strong publication, patent, and research collaboration history is a huge advantage.
  • Demonstrated expertise in one specific area with the ability to become the go-to resource within a team having varied backgrounds.
  • Experience with experimental research and development.
  • Experience with C, C++, Python, and/or scripting languages.
  • Strong communication skills needed. Being a creative and dynamic presenter is a big advantage.
Responsibilities
  • Understand and analyze the efficiency, scaling, and resilience challenges in ML systems, algorithms, and applications.
  • Develop creative systems solutions (hardware, software, infrastructure) for future ML systems of all scales.
  • Contribute to the co-design of next-generation AI/ML algorithms and systems.
  • Collaborate with a diverse set of research and product teams across the company, spanning software, hardware, AI, and networking.
  • Publish original research and speak at conferences and events.

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, primarily GPUs, are used for high-performance computing and artificial intelligence applications. NVIDIA's GPUs work by processing large amounts of data simultaneously, making them ideal for tasks that require significant computational power, such as gaming graphics and AI model training. Unlike many competitors, NVIDIA focuses on both hardware and software solutions, offering cloud-based services that enhance the capabilities of their products. The company's goal is to drive innovation in AI and high-performance computing, providing advanced solutions that cater to a wide range of clients, from gamers to researchers and enterprises.

Company Stage

IPO

Total Funding

$19.5M

Headquarters

Santa Clara, California

Founded

1993

Growth & Insights
Headcount

6 month growth

15%

1 year growth

27%

2 year growth

45%
Simplify Jobs

Simplify's Take

What believers are saying

  • NVIDIA's diverse investment portfolio offers employees exposure to cutting-edge technologies and industries, fostering a dynamic and innovative work environment.
  • The company's strategic acquisitions and partnerships provide opportunities for professional growth and cross-industry collaboration.
  • NVIDIA's strong financial backing and market leadership ensure stability and resources for continued innovation and development.

What critics are saying

  • NVIDIA's expansion into various sectors may dilute its focus and resources, potentially impacting its core GPU business.
  • The competitive landscape in AI, robotics, and autonomous vehicles is intense, posing challenges for NVIDIA to maintain its leadership position.

What makes NVIDIA unique

  • NVIDIA's strategic investments in diverse sectors like robotics, AI disease modeling, and driverless trucks highlight its commitment to pioneering technologies beyond its core GPU business.
  • The acquisition of Shoreline.io, a software startup, indicates NVIDIA's focus on enhancing its software capabilities, setting it apart from competitors primarily focused on hardware.
  • NVIDIA's involvement in significant funding rounds for companies like Mistral AI and Bright Machines showcases its influence and leadership in the AI and intelligent manufacturing sectors.

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