Top Tech Jobs & Startup Jobs in Boston, MA

Develop and productize autonomous driving solutions with a focus on 3D obstacle perception algorithms using deep learning and multiple camera systems.

You will develop NVIDIA's cloud desktop platform, enhance performance, ensure quality code delivery, and contribute to architecture decisions.

Develop and manage private and public cloud infrastructures for AI training. Focus on automation, incident response, and service-level objectives.

Design, prototype, implement, and operate SDN solutions for NVIDIA AI Clouds. Collaborate with teams and maintain automated tests.

Develop and maintain scalable Go programs for managing large datacenters, focusing on GPU management integration and Kubernetes deployments, while ensuring high-quality products through testing and user support.

The role involves developing simulation platforms for NVIDIA DGX Servers, enhancing simulator components, and improving software performance.

The Senior Data Backend Engineer will design and optimize AI data pipelines, create microservices, and manage data workflows for autonomous vehicles, requiring extensive experience in scalable software systems and big data processing.

The intern will design AI algorithms for humanoid robots, optimize models, and collaborate with teams to transfer research to products.

You will develop software for large-scale cloud infrastructure, design APIs, automate CI/CD pipelines, and collaborate with cross-functional teams.

The Software Engineer will develop platform software using container runtimes and Kubernetes, optimize cloud-native applications, and collaborate with other teams to enhance NVIDIA's technology.