招聘
Compensation
$224,000 - $431,250
Benefits & Perks
•Equity
•Equity
Required Skills
Java
Go
Python
Kubernetes
Docker
Terraform
Helm
GeForce NOW is NVIDIA's Cloud Gaming service, streaming games at the highest quality to any and every user, regardless of their device type and capabilities - low-end PCs, Macs, TV or mobile devices. Using the most sophisticated GPUs and NVIDIA proprietary software, GeForce NOW transforms the gaming experience with always up-to-date games on always the latest hardware, a streaming experience rivaling that of a local PC, and near-instant launch – just click and play! For more details, see http://www.geforce.com/geforce-now.
We are looking for a Senior System Software Engineer for Cloud who sees the big picture of Cloud Computing and is deeply technical, creative, and hands-on. You will design, build, and deploy highly scalable cloud-based solutions for Ge Force NOW. You will require a deep understanding of programming languages, distributed systems, multi-threading, and most importantly, cloud services. Your work will craft scalable and efficient cloud services to drive Visual Computing, Deep Learning, and Artificial Intelligence.
What you’ll be doing:
-
Build scalable cloud systems (RESTful services, microservices, APIs, frameworks) on Kubernetes.
-
Architect and manage Kubernetes clusters with custom components (CRDs, controllers, operators, workload scheduling, auto-scaling, multi-cluster, service mesh).
-
Build advanced CI/CD pipelines and workflows (Pipeline as Code, Git Ops, blue-green, canary, progressive delivery, Argo CD, Flux CD).
-
Design observability solutions (Prometheus, Grafana, ELK, distributed tracing) and tooling (SLO/SLI, alerting, anomaly detection).
-
Mentor team members and drive best practices in Kubernetes, observability, and infrastructure automation.
What we need to see:
-
BS or MS in Computer Science or equivalent experience with 12+ years delivering SaaS/PaaS focusing on software development and Kubernetes infrastructure automation.
-
Extensive experience with Java, Golang, and/or Python (preference for Golang; strong Java valued) and developing/scaling backend services and microservices.
-
Experience with container orchestration (Kubernetes, EKS, GKE, AKS), containers (Docker, containerd), and Infrastructure as Code (Terraform, Pulumi, Helm, Kustomize).
-
Experience building solutions on cloud providers (AWS, Azure, GCP) with Kubernetes-native services. AWS experience (Fargate, EC2, EKS, Route53, SQS, DynamoDB) preferred.
-
Deep knowledge of cloud infrastructure, distributed system design, and Kubernetes-native patterns.
-
Strong self-initiative, interpersonal skills, adaptability, and experience writing testable, maintainable, performant codebases with focus on observability and collaboration skills across teams and time zones.
Ways to stand out from the crowd:
-
Experience analyzing observability data to identify bottlenecks and improvement areas.
-
Background with load testing frameworks and performance testing at cloud scale.
-
Experience with cloud-scale analytics and data-driven optimization of infrastructure and services.
With competitive salaries and a generous benefits package, 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 world working for us. If you're creative and autonomous, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until February 21, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
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.
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About NVIDIA

NVIDIA
PublicA computing platform company operating at the intersection of graphics, HPC, and AI.
10,001+
Employees
Santa Clara
Headquarters
$4.57T
Valuation
Reviews
4.1
10 reviews
Work Life Balance
3.5
Compensation
4.2
Culture
4.3
Career
4.5
Management
4.0
75%
Recommend to a Friend
Pros
Great culture and supportive environment
Smart colleagues and excellent people
Cutting-edge technology and learning opportunities
Cons
Team-dependent experience and outcomes
Work-life balance issues with long hours
Politics and influence over competence
Salary Ranges
47 data points
Junior/L3
Mid/L4
Junior/L3 · Analyst
7 reports
$170,275
total / year
Base
$130,981
Stock
-
Bonus
-
$155,480
$234,166
Interview Experience
7 interviews
Difficulty
3.1
/ 5
Experience
Positive 0%
Neutral 86%
Negative 14%
Interview Process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Interview
5
System Design Interview
6
Team Review
Common Questions
Coding/Algorithm
System Design
Technical Knowledge
Behavioral/STAR
News & Buzz
Negotiating NVIDIA's Offer
Base, stock, and sign-on negotiable. Recruiters invested in closing candidates. CEO reviews all 42K employee salaries monthly. Stock growth has made many employees millionaires.
News
·
NaNw ago
NVIDIA Company Reviews
WLB rated 3.9/5 (lowest category). 64% satisfied with WLB but 53% feel burnt out. Compensation rated 4.4-4.5/5. Experience highly team-dependent.
News
·
NaNw ago
NVIDIA Culture Discussions
Team-dependent experience; sink-or-swim culture that rewards high performers but can be overwhelming. No politics, flat structure, but demanding workload with some teams requiring evening/weekend work.
News
·
NaNw ago
NVIDIA Interview Discussions
Technical bar is high with 4-6 rounds. Process takes 4-8 weeks. Expect C++ questions, LeetCode medium, and system design. Difficulty rated 3.16/5.
News
·
NaNw ago