Jobs in the United States

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Added 7 mins ago
HF
Senior IT Systems & Support Engineer
Halcyon Financial Technology
San Francisco, CA
- $100,000 to $130,000 USD / year
Maintain security controls across cloud, email, endpoints, and SaaS, including data loss prevention, retention, and alerting
Added 7 mins ago
AI Engineer – Generative AI & Agentic AI
KData Inc.
United States
software using foundation models, enterprise data, APIs, and cloud services.
Added 10 mins ago
O
Principal Software Engineer, Core Infrastructure
Oracle
Seattle, WA · Santa Clara, CA
- $114,600 to $234,600 USD / year
–Ensure cloud infrastructure is in compliance with industry standards and regulations and that documentation is up to date.
Added 14 mins ago
Software Quality Engineer, Retail & Marcom Engineering
Apple
Sunnyvale, CA
Apple’s IS&T team is looking for a Software Quality Engineer to contribute to design, analysis and certification of our applications. We are looking for someone who is equally passionate…
Added 17 mins ago
Machine Learning Ops, AI Engineer
Mission Underwriting Services
Remote, United States
Mission is seeking an MLOps and AI Infrastructure Engineer to build and operate production-grade infrastructure across our agentic AI platforms. This hands-on role sits at the intersection…
Added 19 mins ago
Sr Software Engineer (C#,.NET)
MILWAUKEE ELECTRIC TOOL CORP
Menomonee Falls, WI
…enabling advanced technologies like AI and ML, and managing the infrastructure and security these solutions require across the enterprise. We work to solve business challenges and drive…
Added 19 mins ago
TT
Infrastructure Engineer
True Talent Solutions Partners
San Francisco, CA
- $150,000 to $300,000 USD / year
Join an AI company building an enterprise data platform for financial services. You will help design and secure infrastructure for processing sensitive financial information across cloud…
Added 20 mins ago
Principal II AI Platform Engineer, GenAI
Teladoc Health, Inc.
Remote, United States
We are seeking a Principal II Data & AI Platform Engineer to serve as one of the most senior hands-on technical leaders on our Data & AI Platform team. This role will architect, build, and…
Added 22 mins ago
FA
AI & Integration Engineer
FSAP and PETA
Remote, United States
- $85,000 to $110,000 USD / year
Support architecture and security reviews by documenting risks, controls, exceptions, and remediation work
Added 29 mins ago
Engineer sr - Corporate and Manufacturing Networking – Global Technology
Starbucks Coffee Company
Seattle
As a Senior Engineer on the Corporate and Manufacturing Network Engineering team, you will own the design, implementation, and operational health of Starbucks' corporate and manufacturing…
Added 35 mins ago
Senior Data & AI Engineer
NeoReach
Remote, United States
We’re seeking an experienced engineer to strengthen our data infrastructure and build practical AI-powered tools.
Added 42 mins ago
XS
Senior Cybersecurity Engineer
Xona Space Systems
Burlingame, CA
- $180,000 to $210,000 USD / year
Xona Space is seeking a Senior Cybersecurity Engineer to lead the development and implementation of our cybersecurity and compliance programs. This role will play a key part in…
Added 46 mins ago
Applied AI Engineer: Solutions & Infrastructure
Flowcode
NY
Strong working knowledge of APIs, MCP servers, webhooks, databases, and cloud infrastructure.
Added 48 mins ago
Azure Cloud Platform Engineer
Deloitte US
Cincinnati, OH · Hermitage, TN · Indianapolis, IN · Kansas City, MO · Nashville, TN · San Antonio, TX · St. Louis, MO · Tampa, FL
Ability to work across cloud, infrastructure, security, application and engineering teams to deliver scalable platform solutions.
Added 51 mins ago
Senior Platform DevOps Engineer - TS/SCI w/ Poly
Parsons Technical Services, Inc.
MD
…for cyber operations? Are you an experienced DevOps/platform engineer who thrives in a fast-paced environment, enjoys owning infrastructure end to end, and wants to help shape how AI is…
Added 53 mins ago
Senior AI Agent Engineer (Autonomous Remediation & DevSecOps / FTE)
NTT DATA Americas, Inc.
Charlotte
Coach application, infrastructure, and security teams on agent onboarding, secure usage, human oversight, and adoption of the autonomous operating model.
Added 54 mins ago
Senior Advanced Site Reliability Engineer (SRE)
Honeywell
Atlanta, GA
We are seeking a highly skilled and experienced Senior Advanced Site Reliability Engineer (SRE) to join our team. The ideal candidate will have a strong background in DevOps and SRE…
Added 56 mins ago
Application Network Engineer
World Wide Technology
Maryland Heights, MO
…design, build and scale intelligent AI, digital, cybersecurity, cloud and infrastructure solutions. Through its Advanced Technology Center (ATC)-a collaborative ecosystem featuring…
Added 1 hour ago
Senior Software Engineer, Datacenter Automation Platforms
NVIDIA USA
CA
Drive cross-team adoption through build reviews, migration plans, documentation, and hands-on partnership. Align infrastructure, networking, storage, security, and workload teams on shared…
Added 1 hour ago
Senior Software Engineer, Platform Engineering - EDA Infrastructure
NVIDIA USA
Remote, United States
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…
Added 1 hour ago
VP, Cloud IAM Engineering Leader
Synchrony Bank
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
We are looking for a Cloud IAM Engineering Leader to lead engineering, automation, and product ownership for secure access across Amazon Web Services (AWS), Microsoft Azure, and Google…
Added 1 hour ago
AI Systems Engineer - AI Platforms - Manager
EY
Saint Louis, MO
To qualify you must have
Added 1 hour ago
AI Systems Engineer - AI Platforms - Manager
EY
Jefferson City, MO
To qualify you must have
Added 1 hour ago
AI Systems Engineer - AI Platforms - Manager
EY
Kansas City, MO
To qualify you must have
Added 1 hour ago
Software Engineering Architect
Cisco
Research Triangle Park, NC
As a Senior DevOps Engineer, you will blend platform engineering, cloud architecture, and Site Reliability Engineering (SRE) to build resilient infrastructure.

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