Top Tech Jobs & Startup Jobs

Build NVIDIA’s AI-native TensorRT framework using agentic workflows and multi-agent orchestration. Architect scalable systems for AI-generated software, prototype state-of-the-art deep learning capabilities, and deliver high-performance inference for language, diffusion, audio, vision, and multimodal models. Optimize Python orchestration and C++ engine implementations for latency and throughput while translating customer needs into production-quality solutions.

Lead the product lifecycle and roadmap for NVIDIA ARC AI-RAN telecom products, from concept through launch and ongoing management. Define system requirements, prioritize use cases and architectures, articulate GPU, CPU, DPU/NIC, and RAN value propositions, and incorporate customer and partner insights. Collaborate with engineering, operations, field teams, and sales to develop solutions, go-to-market plans, positioning, and sales enablement for 5G and 6G telecom deployments.

Develop and manage enterprise data platforms, pipelines, APIs, MDM/RDM solutions, governance frameworks, and AI-enabled observability for semiconductor supply chain data. Integrate SAP, PLM, planning, and business systems while building canonical models, metadata catalogs, lineage, data quality processes, and agentic AI workflows. Partner with engineering, business, and IT stakeholders to deliver scalable, governed data solutions across manufacturing and supply chain operations.

Leads complex autonomous vehicle platform programs from embedded bring-up through production release. Coordinates software, hardware, validation, and systems engineering teams; drives roadmaps, schedules, milestones, risk resolution, cross-functional dependencies, and automotive software releases. Requires deep embedded systems and platform software expertise, strong technical leadership, and experience delivering commercial software products. Familiarity with autonomous vehicles, automotive standards, distributed global teams, Agile, Scrum, Jira, and PMP practices is advantageous.

Architects, designs, and validates hardware security for GPU products. Develops Perl and Python tools, security tests, and architectural-model verification; reviews firmware and hardware designs; analyzes vulnerabilities and threats; and helps define secure hardware and microarchitectural features. Requires collaboration with GPU security teams and expertise in C/C++, low-level firmware, hardware security, threat modeling, fuzzing, kernel security, cryptography, secure boot, and key management.

Leads globally distributed teams developing foundational Tegra CPU and SoC firmware from architecture and pre-silicon development through silicon bring-up, production, and long-term support. Oversees boot, initialization, power management, security, safety, diagnostics, testing, and OS handoff. Partners across hardware, software, safety, security, and product teams while supporting automotive, robotics, industrial, and edge-computing programs. Drives compliance, technical delivery, customer engagement, and firmware quality across multiple silicon generations.

Architect and build agentic identity and security capabilities across cloud, on-premises, and hybrid environments. Develop credential brokering, token exchange, delegation, workload identity, lifecycle management, APIs, CLI tools, and reusable platform integrations. Prototype solutions for ambiguous security problems, guide them into production, evaluate emerging standards and technologies, and collaborate across security, AI, platform, and application teams. Apply offensive-security thinking, device trust, cloud infrastructure, and identity standards to secure AI-agent workflows.

Design and guide hardware security architecture for NVIDIA SoCs and GPUs across mobile, automotive, gaming, server, and AI platforms. Define security roadmaps, develop architecture solutions, review hardware and verification specifications, collaborate with internal teams and external partners, and address security threats. Responsibilities include cryptography, secure boot, attestation, physical attack mitigations, threat modeling, penetration testing, and compliance certification.

Leads hardware security architecture and long-term security roadmaps for NVIDIA SoCs and GPUs. Designs mitigations for physical attacks, develops threat models for advanced packaging and photonics, reviews architecture and verification specifications, and evaluates AI-assisted vulnerability discovery. Collaborates with internal teams, customers, partners, standards bodies, and industry organizations to address security risks, supply-chain threats, hardware Trojans, fault injection, and side-channel attacks.

Builds secure AI and agentic cybersecurity tooling, transforming research prototypes into production-ready services. Responsibilities include developing backend services, APIs, CLI tools, automation, and integration patterns; defining MVPs for ambiguous security and identity challenges; collaborating across research, product, enterprise security, and platform teams; and applying offensive security and adversarial thinking to address AI-specific risks such as injection, tool misuse, unauthorized access, data exfiltration, and unsafe delegation.