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Senior AI Agent Engineer (Autonomous Remediation & DevSecOps / FTE)
NTT DATA Americas, Inc.
Charlotte
We are currently seeking a Senior AI Agent Engineer (Autonomous Remediation & DevSecOps / FTE) to join our team in Charlotte, North Carolina (US-NC), United States (US).
Added 1 min ago
Senior Advanced Site Reliability Engineer (SRE)
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Added 6 mins ago
Systems Engineer/Principal Engineer Systems
Northrop Grumman
Oklahoma City · San Diego · Melbourne
Northrop Grumman Aeronautics Systems is seeking a Systems Engineer 2/3 to join our team of qualified, diverse individuals within our Systems Engineering organization. This role is located…
Added 7 mins ago
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Senior Mobile Software Engineer
BioTalent
San Diego, CA
- $190,000 USD / year
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Added 7 mins ago
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Senior Embedded Software Engineer
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San Diego, CA
- $190,000 USD / year
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Added 8 mins ago
Senior Software Engineer, Datacenter Automation Platforms
NVIDIA USA
CA
Added 8 mins ago
Senior AI Infrastructure Engineer - DGX Cloud
NVIDIA USA
Remote, United States
NVIDIA is looking for an outstanding, passionate, and dedicated Senior AI Infrastructure Engineer to join our DGX Cloud group. This engineering role will design, build and maintain…
Added 8 mins ago
Senior Software Engineer, Platform Engineering - EDA Infrastructure
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A track record of being the engineer other teams' onboarding or migration efforts route through. You build the paved road other people's migrations travel on.
Added 8 mins ago
VP, Cloud IAM Engineering Leader
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Stamford Engagement Hub, CT · Chicago Engagement Hub, IL · Orlando Engagement Hub, FL · NYC Bryant Park Engagement Hub, NY · Cincinnati West Chester Engagement Hub, OH · Charlotte Engagement Hub, NC · Atlanta Engagement Hub, GA
Added 10 mins ago
AI Systems Engineer - AI Platforms - Manager
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AI Systems Engineer - AI Platforms - Manager
EY
Jefferson City, MO
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AI Systems Engineer - AI Platforms - Manager
EY
Kansas City, MO
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Added 11 mins ago
Software Engineering Architect
Cisco
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About the Role: Senior DevOps Engineer, Cryptographic Services
Added 13 mins ago
AI Software Engineer
Sensible Care
Pasadena, CA
Sensible Care is now hiring an AI Software Engineer to join our AI engineering team. You’ll take on R&D projects to find novel solutions to significant healthcare problems using AI. This is…
Added 19 mins ago
Principal Engineer, Cloud Software
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The Principal Engineer, Cloud Software provides technical direction and hands-on engineering for LI-COR Environmental's connected products and cloud platforms. This individual contributor…
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Software Engineer – AI, Autonomy & Platform Development
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Electrical Systems Engineer
Northrop Grumman
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Fraud Analytics Engineer
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We're looking for an Analytics Engineer that operates at the intersection of data engineering, infrastructure, and machine learning.
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Senior Engineer Core Infrastructure
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- $105,600 to $150,400 USD / year
The Senior Core Infrastructure Engineer – is focused on ensuring the creation and management of Infrastructure including managing operational stability, performance, and cost-efficiency of…
Added 34 mins ago
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Senior Data Engineer
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- $180,000 to $200,000 USD / year
Expression is seeking an experienced Senior Data Engineer to design, develop, and integrate secure enterprise data services supporting advanced Artificial Intelligence (AI) and Large…
Added 34 mins ago
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Senior AI Engineer
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Engineer scalable data solutions using technologies such as Apache Iceberg, Spark, Trino, Databricks, and high-performance analytical databases.
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Senior Software Engineer, Elixir
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Senior Software Engineer, Platform Engineering - EDA Infrastructure

Remote, United States

The expected base salary ranges for this position are: 152,000 USD – 241,500 USD for Level 3; and 184,000 USD – 287,500 USD for Level 4.

Apply on nvidia.wd5.myworkdayjobs.com About employer

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Job details

Pay: The expected base salary ranges for this position are: 152,000 USD – 241,500 USD for Level 3; and 184,000 USD – 287,500 USD for Level 4.
Experience: 5+ years of software engineering or infrastructure engineering experience supporting large-scale production systems.
Posting language: English
Posted: Nov 10, 2026

Original job description

NVIDIA is hiring engineers to build and operate the governed infrastructure platform behind our Electronic Design Automation (EDA) and hardware engineering organization, giving teams a self-service path from source code to production that runs in the cloud and at each physical site. We need engineers with strong programming skills and a deep understanding of distributed systems. You should have real experience operating large-scale production infrastructure and the judgment to build a platform capability once, for every team that needs it.

The ideal candidate is comfortable working across the cloud-native stack, from Kubernetes down to cluster schedulers. When a new capability is needed, you look for an existing open-source solution before writing your own. What you do build gets built once on the platform, for every team to use. You enjoy solving complex operational problems and turning manual handoffs into self-service, and you care about developer experience as much as you care about uptime. You want systems that stay reliable as the fleet and the number of onboarded teams grow. If that sounds like you, we would like to hear from you.

What You Will Be Doing:

Own the lifecycle of the Kubernetes clusters the platform runs on, including the control plane, node lifecycle, and fleet-wide upgrades. Own the bare-metal provisioning, storage, and networking underneath them too.
Build self-service capabilities (compute, secrets, certificates, DNS, access, deployment) so engineering teams can declare what they need and get it automatically.
Extend Kubernetes with controllers and operators, using open-source projects where they fit and writing your own where they don’t.
Own the CI/CD pipelines and shared platform services, such as policy, autoscaling and observability, that give teams a secure path to production by default.
Onboard new teams and sites onto the platform as a repeatable motion. Define what a site or team needs to bring online, then build the self-service tooling and documentation that gets them there and lets them operate independently afterward.
Work directly with EDA, infrastructure, networking, storage, and hardware engineering teams to deliver scalable solutions for critical chip-design workloads.
Share on-call duties, including incident response, root-cause analysis and capacity planning.

What We Need To See:

5+ years of software engineering or infrastructure engineering experience supporting large-scale production systems. You should be able to describe specific incidents you debugged: what broke, and what you changed as a result.
A BS in Computer Science, Engineering, Physics, Mathematics, or a related field, or equivalent experience.
Strong programming experience in Go or Python, including a solid understanding of data structures, algorithms, testing, and software design, with services you have personally built and can walk through in depth. Go is our primary language and preferred, though deep experience in another systems language works too.
Real production experience operating Kubernetes, or a comparable large-scale platform such as an internal developer platform or another cluster manager, with hands-on ownership of specific clusters and components.
Experience building automation that makes decisions and takes action on distributed infrastructure, such as reconciliation loops, controllers, operators, or self-healing remediation systems.
Understanding of performance, security, reliability, fault tolerance, state management, and data consistency in complex systems, built through real infrastructure automation, deployment, and operational recovery work.
A track record of onboarding or migrating other teams onto new infrastructure as a repeatable process: self-service tooling, readiness checks, and documentation that let other teams operate independently afterward.
Strong communication skills and the ability to work optimally across teams, organizations, and geographic regions. You bring a systematic approach to problem solving, a strong sense of ownership, and a habit of eliminating operational toil.

Ways To Stand Out From The Crowd:

Contributions to open-source infrastructure projects, such as bug fixes or features you sent upstream instead of working around them.
Experience running Kubernetes on bare metal with tools like Cluster API, Metal3, Ceph, or Cilium. Exposure to EDA applications, license-management systems, high-throughput batch workloads, or semiconductor design workflows is a plus.
Hands-on experience with writing your own operators or the cloud-native ecosystem, such as cert-manager, external-dns, Argo CD, or Kyverno.
A track record of being the engineer other teams' onboarding or migration efforts route through. You build the paved road other people's migrations travel on.
You've also improved infrastructure reliability, utilization, and recovery time through production-quality automation, operating infrastructure across multiple data centers or heterogeneous hardware environments, on-premises and in the cloud.

NVIDIA is widely considered one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the industry working with us. If you are creative, autonomous, and excited to build reliable infrastructure at scale, we want to hear from you!

Join a team of engineers at NVIDIA dedicated to scaling the AI infrastructure that powers cutting-edge data science applications. Our team solves complex challenges across datacenter hardware, networking, distributed systems, and software deployment. We collaborate closely to design and deliver leading infrastructure solutions. We value strong technical foundations paired with creative thinking and a bias toward execution. Together, we continuously push boundaries, grow our skills, and advance NVIDIA’s capacity to build and deploy AI-based infrastructure at scale.

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 152,000 USD – 241,500 USD for Level 3; and 184,000 USD – 287,500 USD for Level 4. You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 14, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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.

Apply on nvidia.wd5.myworkdayjobs.com About employer

More about this job

Skills

EDA
Kubernetes
DNS
CI/CD
Documentation
Incident response
Root cause analysis
Computer science
Go
Python
Building automation
Communication skills
Geographic areas
Problem solving

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Work requirements

Jobs in the United States