NVIDIA

Senior Systems Software Engineer - Containers, Kubernetes and Confidential Computing

Canada

Not SpecifiedCompensation
Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Computer Hardware, Software Development, Cloud ComputingIndustries

About the Role

Employment Type: Full time

NVIDIA is looking for a hardworking Sr. Systems Software Engineer to work on platform software based on open-source container runtimes, Kubernetes and Confidential Container technologies. We expect you to have strong programming skills, a deep understanding of designing and building software, especially related to GO, Rust and C, experience with Systems Software and Distributed systems, as well as excellent communication and planning skills. We also welcome out-of-the-box problem solvers who can provide new ideas while strong at completing tasks. Expect to be constantly challenged, improving and evolving for the better. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. If you're creative, passionate about what you do, autonomous and love having fun, we want to hear from you!

What You Will Be Doing

  • You'll be part of a small and dynamic team that explores innovative ways to make GPU accelerated applications easier to develop, deploy, and monitor.
  • Work on enabling GPUs as first-class resources in container orchestrators such as Kubernetes.
  • This is an excellent opportunity to join the core group working on Cloud Native technologies enabling NVIDIA accelerators in the k8s environment.
  • Work with engineering teams across all of NVIDIA to ensure your software integrates seamlessly up and down the stack.
  • Proficiently multitasking on different tracks to efficiently address evolving priorities.

What We Need to See

  • BS/MS in Computer Science, or related field (or equivalent experience)
  • 8+ years of relevant work experience.
  • Expert level knowledge in a systems programming language (Go, Rust) and solid understanding of Data Structures and Algorithms.
  • Strong understanding of Container Orchestration Systems (K8s) and Container Technology.
  • Expert knowledge and experience working with System internals of Unix/Unix-like kernels such as Linux.
  • Strong background in Cloud Computing and Distributed Software design and development.
  • Understanding of performance, security and reliability in complex distributed systems.

Ways to Stand Out from the Crowd

  • Strong experience with Go and Rust programming languages.
  • Real world strong hands on experience with Containers and Kubernetes.
  • Proficient with Kata Containers and Container sandboxing technologies.
  • Knowledgeable with virtualization technologies, SR-IOV, vGPU, etc.

About NVIDIA

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. We are looking for great people like you to help us accelerate the next wave of artificial intelligence.

Compensation and Benefits

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 142,500 CAD - 247,000 CAD for Level 4, and 183,750 CAD - 318,500 CAD for Level 5. You will also be eligible for equity and benefits.

Application Deadline

Applications for this job will be accepted at least until August 10, 2025.

Skills

Systems Software
Container Runtimes
Kubernetes
Confidential Computing
GO
Rust
C
Distributed Systems
GPU Acceleration
Cloud Native Technologies
Unix/Linux Kernels
Cloud Computing
Data Structures
Algorithms

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.

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