Note: The job is a remote job and is open to candidates in USA. NVIDIA is a technology company advancing accelerated computing and artificial intelligence. The Senior Software Engineer will design and develop an agent compute delivery platform based on a custom agent sandbox cloud VM solution, building scalable and secure services for agentic workloads and AI workflows. The role includes leading cloud VM initiatives, automating infrastructure and VM lifecycle management, and improving platform reliability, observability, performance, and security.
Responsibilities
- Leading cloud VM platform initiatives from architecture and systems design through implementation, testing, and deployment
- Designing, building, and operating scalable services that support secure, isolated agent workloads
- Developing automation for infrastructure provisioning, VM lifecycle management, application delivery, configuration, monitoring, and remediation
- Collaborating with engineering teams across NVIDIA to translate business and AI workflow requirements into dependable platform capabilities
- Improving the platform’s reliability, scalability, observability, performance, and operational efficiency
- Continuously raising standards for code quality, testing, documentation, infrastructure security, and production readiness
Skills
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field—or equivalent experience
- 8+ years of experience in software, platform, infrastructure, or cloud engineering, with a focus on backend or distributed systems
- Strong understanding of distributed-systems concepts, including service communication, asynchronous processing, failure handling, retries, idempotency, and eventual consistency
- Familiarity with PostgreSQL and MongoDB, including data modeling, migrations, and performance
- Understanding of secure software development, cloud security, identity and access management, secrets management, and network security
- Experience with AI-native development and coding agents to multiply developer efficiency
- Strong communication skills and a collaborative, team-oriented approach
- Deep expertise in Go and TypeScript
- Production experience with Temporal for durable execution, workflow orchestration, and long-running distributed processes
- Comprehensive understanding of infrastructure security, workload isolation, container security, and zero-trust principles
- Experience building platforms for AI agents or sandbox execution
- Excited to contribute to a high-trust, collaborative culture while bringing a unique perspective to the team!
Benefits
- Equity
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