NVIDIA
Senior Systems Software Engineer - Containers, Kubernetes and Confidential Compu
NVIDIA, Santa Clara, California, us, 95053
Senior Systems Software Engineer - Containers, Kubernetes and Confidential Computing
Join to apply for the
Senior Systems Software Engineer - Containers, Kubernetes and Confidential Computing
role at
NVIDIA Senior Systems Software Engineer - Containers, Kubernetes and Confidential Computing
Join to apply for the
Senior Systems Software Engineer - Containers, Kubernetes and Confidential Computing
role at
NVIDIA 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.
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.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until July 29, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
JR1998793
Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Industries Computer Hardware Manufacturing, Software Development, and Computers and Electronics Manufacturing Referrals increase your chances of interviewing at NVIDIA by 2x Sign in to set job alerts for “Senior System Software Engineer” roles.
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Join to apply for the
Senior Systems Software Engineer - Containers, Kubernetes and Confidential Computing
role at
NVIDIA Senior Systems Software Engineer - Containers, Kubernetes and Confidential Computing
Join to apply for the
Senior Systems Software Engineer - Containers, Kubernetes and Confidential Computing
role at
NVIDIA 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.
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.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until July 29, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
JR1998793
Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Industries Computer Hardware Manufacturing, Software Development, and Computers and Electronics Manufacturing Referrals increase your chances of interviewing at NVIDIA by 2x Sign in to set job alerts for “Senior System Software Engineer” roles.
Sr. Software Engineer, Supply Chain Applications
Senior System Software Engineer, Power and Thermal Management
Staff Software Engineer (Endpoint Client)
Staff Software Engineer, Customer Obsession
Sunnyvale, CA $223,000.00-$248,000.00 3 weeks ago Mountain View, CA $160,000.00-$230,000.00 1 year ago Santa Clara, CA $192,000.00-$368,000.00 3 days ago San Jose, CA $194,000.00-$410,000.00 3 weeks ago Senior Software Development Engineer, Virtual Network
San Jose, CA $194,000.00-$410,000.00 3 weeks ago San Francisco Bay Area $215,000.00-$295,000.00 2 weeks ago Mountain View, CA $180,000.00-$220,000.00 1 month ago San Jose, CA $194,000.00-$410,000.00 3 weeks ago System Software Architect, HPC Networking
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Mountain View, CA $183,000.00-$271,000.00 5 days ago Mountain View, CA $180,000.00-$220,000.00 1 week ago Senior Software Quality and Compliance Engineer - AD/ADAS Systems
Palo Alto, CA $140,000.00-$230,000.00 2 weeks ago Sunnyvale, CA $151,300.00-$261,500.00 1 week ago Staff Software Product Engineer, RCM (SF)
Mountain View, CA $180,000.00-$220,000.00 1 week ago Redwood City, CA $140,000.00-$198,000.00 2 weeks ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr