Job description

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. As a Senior Software Engineer, you will help drive the design and development of our agent compute delivery platform centered around our custom agent sandbox cloud VM solution. Your responsibility will be to improve NVIDIA s agent sandbox services into running full agentic use cases that are scalable and secure. You will partner with teams all across NVIDIA to enable their AI workflows. This is a role for someone who wants to build at the frontier of AI, creating the platform for next-gen agentic services! What you will be doing: 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. What we need to see: 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. Ways to stand out from the crowd: 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! NVIDIA is widely considered to be 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 enjoy learning while having fun, then what are you waiting for? Apply today! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 270,250 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until September 12, 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.

Requirements

Must-haves

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.
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!
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until September 12, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.

Nice-to-haves

None flagged.

Application prep

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Keywords to mirror

aigotypescript

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Vision