Designs and delivers SDKs and command-line interfaces for cloud GPU services. Responsibilities include defining requirements with partners and cross-functional teams, shaping technology and implementation methods, writing high-quality tested code, performance tuning, usability improvements, automation, maintenance, and documentation. The role focuses on distributed computing, highly available microservices, and cloud platforms supporting deep learning and AI.
Are you ready to help build a better future, solve some of the hardest real-world problems using large scale distributed computing, concurrent and highly available microservices architecture in the cloud?
NVIDIA is looking for a Senior Cloud Software Engineer who can think out of the box, see the big picture, and be diligent to help redefine where GPU Cloud computing is headed. This essential role will give you an unrivaled opportunity to craft and deliver a new class of GPU service platforms for cloud computing in the up-and-coming fields of Deep Learning and AI. You will lead us into a new era of computing while working with the team to learn how we can tackle challenges in the cloud.
What you'll be doing:
- Design, build and implement SDKs and CLIs to interact with Cloud GPU Services.
- Engage with partners, backend engineers and cross-functional teams around the globe to define requirements and implement solutions and improvements of new/existing products..
- Help drive the underlying technology stack and the implementation methodology.
- Ensure high-quality code through unit testing and integration testing.
- Drive performance tuning, usability improvements and test automation
- Support, maintain and document software functionality.
What we need to see:
- Bachelor's or Master's degree in Computer Science or related field (or equivalent experience).
- 8+ years of experience in software development, with a focus on CLI/SDK tools.
- Proficiency in programming languages such as Python, Go, or Rust.
- Experience developing Python client code that works across Windows, Linux, and Mac
- Background with RESTful web services.
- Experience with Continuous Integration and Continuous Delivery.
- Excellent interpersonal and written communication skills required.
Ways to stand out from the crowd:
- Knowledge of containerization technologies such as Docker and Kubernetes.
- Showcase relevant experience with cloud platforms
- Open-source projects contribution
- Demonstrate delivery of complex projects in previous roles.
- Experience with Code generation capability
You will also be eligible for equity and benefits.
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.NVIDIA Seattle, Washington, USA Office
4545 Roosevelt Way NE 6th Floor, Seattle, Washington, United States, 98105
NVIDIA Bellevue, Washington, USA Office
Bellevue, United States
NVIDIA Redmond, Washington, USA Office
Redmond, United States
Similar Jobs
Artificial Intelligence • Cloud • Software
Design, build, and maintain scalable cloud infrastructure using AWS, GCP, or Azure. Implement SRE practices, monitoring, observability, capacity planning, Kubernetes and Helm deployments, CI/CD pipelines, automation, and cloud security controls. Collaborate with cross-functional teams, ensure compliance, and mentor engineers while improving reliability, availability, scalability, and performance.
Top Skills:
AiopsAnsibleAWSAzureChefCircleCICloudFormationGCPGitGitlab CiGoGoogle Cloud MonitoringGrafanaHarnessHelmJenkinsKubernetesPrometheusPuppetPythonTerraform
Healthtech
Leads end-to-end design, development, quality, and integration of complex software solutions and cloud services. Provides technical leadership for enterprise-wide projects, manages engineering processes, risks, dependencies, and delivery priorities, and writes code across the software ecosystem. Collaborates with multidisciplinary teams to deliver measurable, user-centric technology solutions, primarily supporting healthcare caregivers.
Top Skills:
AgileAmazon Web Services (Aws)Azure DevopsC#GitJavaJIRAAzureNoSQLPythonSQLTeam Foundation Server (Tfs)
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
Design, build, and maintain infrastructure software for large-scale AI training and inference. Improve efficiency, resiliency, availability, observability, and reliability across distributed AI systems. Develop APIs and tools, analyze failures from application through hardware levels, define reliability metrics, and support NVIDIA AI platforms. The role requires expertise in distributed systems, monitoring, debugging, software engineering practices, and AI infrastructure, with preferred experience in large clusters, RDMA stacks, telemetry, and deep learning frameworks.
Top Skills:
CC++Continuous IntegrationElkInfiniband VerbsJaxLibfabricLokiNcclPrometheusPythonPyTorchRayRdmaTensorFlowUcx
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
