Top Tech Jobs & Startup Jobs

Develop and integrate cybersecurity features into autonomous vehicle platform software, spanning sensor abstraction, data processing, middleware, embedded systems, and cloud infrastructure. Conduct threat modeling and security architecture analysis, manage product security requirements, guide security governance, and collaborate across hardware, software, safety, performance, algorithms, and cloud teams. Build scalable, performant system software using C++, C, and Python across Linux, QNX, ROS, and real-time environments.

Lead technical program management for NVIDIA’s LPU SDK software initiatives. Responsibilities include defining execution plans, managing priorities and dependencies, tracking risks, coordinating cross-functional engineering teams, reporting program status, moderating technical discussions, analyzing program metrics, and driving on-time delivery. The role also serves as a liaison between developers and customers while improving processes and supporting enterprise software programs.

Designs, develops, implements, and supports enterprise Anaplan planning solutions. Partners with business and IT teams to gather requirements, build models, manage integrations, deliver enhancements, and oversee testing, deployment, adoption, and ongoing value realization. The role also manages project work and applies Anaplan lifecycle standards across solution design and implementation.

Verifies GPU hardware designs using formal verification algorithms, develops test plans, writes assertions and automation scripts, optimizes verification tools, debugs complex logic, and collaborates with distributed engineering teams to deliver reliable silicon products.

Build and operate reliable digital marketing services using Akamai CDN, AWS, Kubernetes, and cloud-native automation. Responsibilities include managing URL redirects and rewrite policies, supporting production applications through on-call incident response, onboarding AI/ML services, and implementing monitoring, alerts, SOPs, and model-performance tracking. The role requires advanced Python automation, root-cause analysis, incident management, and experience with scalable infrastructure for AI applications.

Develop and optimize core JAX components for NVIDIA platforms, improve deep learning framework performance, build AI development tools, and bridge numerical computing research with real-world products. The role involves collaborating with researchers and technical leaders, supporting distributed multi-GPU and multi-node training, designing modular software, and coordinating across teams.

Performs mechanical simulations, analysis, testing, and design for next-generation high-speed communication devices. Leads projects involving thermal and mechanical solutions, collaborates with optical, mechanical, and thermal engineers, works with vendors and subcontractors, develops challenging mechanical assemblies, and conducts laboratory experiments. The role requires hands-on assembly and testing experience, sophisticated mechanical or opto-mechanical development knowledge, and familiarity with Ansys, thermal design, and manufacturing processes.

Lead QA strategy and own quality for test frameworks, libraries, and tools. Build/maintain automated test pipelines, CI/CD quality gates, regression suites, fixtures, mocks, and simulators. Track metrics, report results, and collaborate across ITPE teams.

Verify NVIDIA’s NVTHERM thermal-management IP at the Tegra SoC level. Learn the verification environment, testbench, simulation flow, and coverage signoff process; analyze coverage gaps; and develop or update test cases to ensure thermal sensing, response, and protection behavior. Collaborate with mentors and the SoC verification team on priorities and signoff requirements.

Own post-silicon characterization and bring-up of analog, digital, and mixed-signal circuits across NVIDIA GPU and SoC products. Analyze lab and production data across process, voltage, and temperature corners; correlate silicon measurements with simulations; identify root causes; recommend guardbands and design improvements; and drive fixes through confirmation. Develop automation, data pipelines, models, and visualization tools while collaborating across design, validation, software, manufacturing, reliability, and operations teams.