Full-Time

Distinguished Systems Software Engineer

Graphics Delivery Network Platform

Confirmed live in the last 24 hours

NVIDIA

NVIDIA

10,001+ employees

Designs GPUs and AI computing solutions

Compensation Overview

$308k - $471.5k/yr

+ Equity

Expert

Company Historically Provides H1B Sponsorship

Austin, TX, USA + 2 more

More locations: Santa Clara, CA, USA | New York, NY, USA

Category
Backend Engineering
Full-Stack Engineering
Software Engineering
Required Skills
LLM
Rust
Java
Go
C/C++
Computer Vision
Linux/Unix
Requirements
  • B.Sc./M.Sc./Ph.D. degree in Computer Science, Computer Engineering (or equivalent experience)
  • 18+ years of experience as a Software or Systems Architect, with proven experience as a Full-Stack Systems Software Engineer, including systems/OS development
  • Strong design, coding, analytical debugging, and problem-solving skills combined with high-level languages, such as Go/Java/RUST, and low-level languages (C/C++/ASM)
  • Hands-on cloud virtualization, networking, and orchestration experience
  • Broad knowledge in networking protocols and prevalent network topologies, coupled with a profound comprehension of cloud-based audio and video streaming technologies
  • Hands-on Linux development experience
  • Demonstrated ability to collaborate and influence engineering and business teams effectively, both domestically and internationally
  • Excellent communication, documentation, and presentation skills
  • Proven capacity to convert customer requirements into architectural, technical, and strategic guidance and planning
Responsibilities
  • Work on tooling to help scale and evolve our current streaming offerings
  • Define and implement the API’s and tools our customers will rely upon to create these experiences
  • Design state-of-the-art systems architecture for complex AI-based interactive experiences
  • Integrate and work closely with multiple Nvidia organizations and integrate open-source models spanning from computer vision, LLMs, and Text2Audio/Audio2Text to rapidly develop proof-of-concept prototypes that can then be developed into full-fledged products/solutions
  • Coding clear solutions and being able to support those solutions in production scenarios
  • Writing effective, clear, and reliable architecture requirements and design specifications
  • Collaborate closely and concurrently with various Nvidia teams across the globe
  • Work with high-profile customers to build and deploy innovative and cutting-edge technologies and solutions
Desired Qualifications
  • Experience developing and deploying deep-learning models: LLMs, text-to-speech, and more
  • Background with data center technologies, network topologies, and cloud
  • Experience with containers, Docker, Kubernetes components & subsystems
  • Good understanding of operating systems and drivers
  • Experience with Proton and other virtualization technologies

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, particularly GPUs, are essential for high-performance computing and artificial intelligence applications. NVIDIA's offerings include hardware and software solutions, with revenue generated from the sale of GPUs, AI platforms, and software licenses. They also provide cloud-based services that enhance experiences in AI, machine learning, and computer vision. Unlike many competitors, NVIDIA focuses heavily on research and development to maintain its leadership in technology and innovation. The company's goal is to drive advancements in AI and computing to serve a wide range of clients, from gamers to enterprises.

Company Size

10,001+

Company Stage

IPO

Headquarters

Santa Clara, California

Founded

1993

Simplify Jobs

Simplify's Take

What believers are saying

  • Collaboration with Utilidata enhances NVIDIA's position in the energy sector.
  • Acquisition of Lepton AI strengthens NVIDIA's cloud service offerings.
  • Involvement in nEye Systems boosts data transfer speeds and efficiency.

What critics are saying

  • Silicon photonics technology could challenge NVIDIA's electrical interconnects.
  • AI21's funding round may intensify competition in AI infrastructure.
  • Integration challenges with Lepton AI could impact operational efficiency.

What makes NVIDIA unique

  • NVIDIA leads in AI and HPC with cutting-edge GPU technology.
  • The company excels in gaming and professional visualization markets.
  • NVIDIA's cloud services offer scalable solutions for AI and machine learning.

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Benefits

Company Equity

401(k) Company Match

Growth & Insights and Company News

Headcount

6 month growth

1%

1 year growth

1%

2 year growth

0%
Business Insider
May 9th, 2025
Nvidia-backed Israeli AI startup AI21 is raising a $300 million funding round

AI21, an Israeli startup building its own large language models (LLMs), is raising a $300 million funding round, a source said.

Canary Media
Apr 29th, 2025
Utilidata raises $60M for smarter grids

Utilidata has raised $60 million to explore the potential of AI chips in enhancing grid intelligence. Collaborating with Nvidia and utility partners like Portland General Electric and Duquesne Light, the projects aim to gather detailed grid data, particularly regarding distributed energy resources like rooftop solar and EV chargers. These efforts focus on optimizing grid operations through virtual power plants and distributed energy resource management systems, leveraging real-time data and communication.

SiliconANGLE
Apr 11th, 2025
nEye Systems raises $58M for AI chips

Silicon photonics startup nEye Systems raised $58M in funding led by CapitalG, with participation from Microsoft, Micron, Nvidia, and others. The Emeryville-based company is developing optical networking chips for AI data centers, promising faster, more efficient, and cost-effective data transfers. nEye's technology aims to overcome bandwidth and energy limitations of current electrical interconnects. Prototypes are ready, with production samples expected next year. Total funding exceeds $72M.

Aibase
Apr 8th, 2025
Nvidia Acquires Lepton AI for Millions

Nvidia has completed its acquisition of Lepton AI, a startup founded by former Alibaba VP Yangqing Jia, for reportedly hundreds of millions of dollars. Lepton AI, established in 2023, focuses on AI infrastructure and cloud solutions. Co-founders Yangqing Jia and Junjie Bai have joined Nvidia. Jia, a notable AI expert, previously contributed to TensorFlow at Google and led AI R&D at Alibaba.

Yahoo Finance
Apr 7th, 2025
Rescale Raises $115M in Venture Funding

Rescale, a San Francisco-based startup specializing in engineering software for designing race cars and computer chips, secured $115 million in venture financing.