Top Tech Jobs & Startup Jobs

Develop and implement compiler optimization algorithms for deep learning workloads, analyze networks, debug and profile GPU performance (CUDA), define public APIs, and deliver ahead-of-time and just-in-time compilation techniques for NVIDIA GPUs to improve inference performance, build times, and memory efficiency.

Design and implement AI-driven optimizations for software development workflows, leveraging LLMs and Agentic AI to enhance productivity and reliability.

Design, build, and operate automation, tooling, and operational systems for large-scale GPU Kubernetes clusters. Develop provisioning, validation, upgrade, monitoring, repair, and lifecycle tools; improve Day0-2 workflows, reduce manual operations via APIs/GitOps, participate in on-call and incident response, and collaborate with platform, storage, networking, and security teams to ensure production readiness.

Design, build, and operate scalable, resilient e-commerce infrastructure. Architect Terraform modules and Jenkins CI/CD pipelines, manage AWS services (EKS, ECS, Lambda, RDS, S3, SQS), implement proactive AI-powered observability, define SLOs/SLAs, lead incident response and post-mortems, and automate operational tooling with Python.

The role involves developing software for datacenter integration, managing infrastructure, ensuring reliability, and automating processes. Requires strong expertise in programming, CI/CD, and distributed systems.

Lead a team to build and operate DGX Cloud infrastructure, focusing on Kubernetes operations, automation, and reliability. Manage production systems and engineer practices for cloud infrastructure.

The role involves deploying AI networking solutions in data centers, driving architectural decisions, troubleshooting network issues, and collaborating on customer projects for NVIDIA's technology solutions.

Lead end-to-end technical programs for the NVIDIA Marketplace, coordinating engineering, product, operations, and business partners. Drive planning, backlog management, risk and dependency mitigation, governance, release readiness, and post-launch reviews while reporting program health to leadership and improving cross-team execution and metrics.

Lead end-to-end telemetry and cloud infrastructure programs for DGX Cloud. Coordinate telemetry requirements across hardware, firmware, software, and CSPs, ensure operational readiness, drive attestation and fleet health initiatives, mentor TPMs, improve processes with AI automation, and report progress to executive leadership.

Provide technical support to NVIDIA Enterprise customers by triaging and resolving issues, working with engineering on reproductions/logs, applying AI/ML and agentic AI to build support tools and products, documenting interactions and knowledge, and owning cases to resolution (occasional weekend/holiday support).