Nvidia System Software Engineering - Cryptographic PKI Management 

United States, Texas 

346815715

What you'll be doing:

• Partner across multiple product engineering teams to enable and drive the adoption of cryptographic key, certificate, and signing processes and use cases.

• Build secure cloud architecture using NVIDIA's private cloud and Cloud Service Providers (CSPs), such as Amazon Web Services (AWS) and Microsoft Azure.

• Define scope, plan, and complete projects to securely manage cryptographic assets such as cryptographic keys, certificates, and secrets.

• Compose and build microservices deployed in a containerized environment using RESTful APIs.

• Solve application reliability, scalability, and usability challenges while managing multi data center deployments.

What we need to see:

• BS or MS in Computer Science Engineering or a related field of study (or equivalent experience).

• 8+ years of experience in architecting, crafting, and implementing software engineering solutions, particularly in cloud software.

• Strong knowledge of cryptographic algorithms, such as key management, hashing, signing, and certificate creation.

• Familiarity with AuthN/AuthZ concepts and frameworks for securing production and corporate access, including SSO, SAML Federated Identity, RBAC, and IAM policies.

• Strong knowledge of Java programming languages, accompanied by experience in related frameworks like Spring and SpringBoot.

• In-depth knowledge of the AWS cloud platform (or other CSPs), with experience architecting high-throughput services.

• Prior experience in crafting Cryptographic applications in a chip company and PKI software systems.

Ways to stand out from the crowd:

• Technical leadership of cryptographic key & certificate management, and signing infrastructure, platform, or software systems.

• Proficiency in Python, Go and .NET programming is a plus.

• Experience with threat modeling using tools such as Microsoft Threat Modeling Tool.

• Experience with infrastructure and orchestration tools (Kubernetes, Terraform, GitOps, etc.).

• Background with Google Cloud Platform (GCP), Microsoft Azure, and Oracle Cloud Infrastructure (OCI).