Top Tech Jobs & Startup Jobs

Design, build, and modernize full‑stack web applications and microservices for a real‑time event-driven data and visualization platform. Develop and optimize streaming data pipelines (Kafka, Flink, Spark), integrate observability, caching (Redis), and AI agents, and collaborate with hardware verification teams for scalable, low-latency solutions.

Design and prototype high-performance, energy-efficient processor and system architectures for deep learning. Develop analytical models, simulators, and test suites; profile and analyze performance and power trade-offs for DL workloads; collaborate with software, research, and product teams.

Lead architecture and roadmap for next-generation DRAM/HBM memory solutions, co-optimizing DRAM, GPU, packaging, and process technology. Drive HBM PHY/interface design, TSV/interposer integration, refresh/ECC schemes, and system-level trade studies. Collaborate with DRAM vendors and JEDEC, mentor engineers, and influence standards and vendor roadmaps to deliver high-performance, efficient, and reliable GPU memory solutions.

Design and build end-to-end Real2Sim pipelines and neural 3D reconstruction systems that convert multi-sensor data into simulation-ready scene and object assets. Integrate outputs with mapping, localization, and multi-sensor fusion, collaborate with ML researchers, deploy and optimize large-scale data-generation and augmentation pipelines, and validate and monitor production reconstruction and simulation services.

Partner with universities and research institutes to design and deploy GPU-accelerated HPC and scientific AI solutions. Architect workflows from high-fidelity simulation to AI surrogates and foundation models, profile and optimize GPU training and inference, and collaborate with internal teams to align technical roadmaps. Support computational physics, multiphysics simulation, and engineering design exploration. Travel up to 20%.

Lead product discovery and concept definition for consumer and industrial products. Conduct research, craft prototypes and visual stories, collaborate with multidisciplinary teams through design and manufacturing, and apply engineering principles to deliver innovative, human-centered solutions. Mentor others and drive material and manufacturing innovation.

Lead GTM technical engagements with data-platform ISVs to design architectures, build POCs, benchmarks, and enablement for NVIDIA acceleration across analytics, databases, and GenAI workflows. Create reference assets, demos, and training while partnering with product, engineering, sales, and customers.

Design and prototype hardware systems and PCBs; build mechanical housings; develop hardware control software and applications; perform lab testing and characterization (oscilloscope, power and SI measurements); use 3D modeling and 3D printing for prototypes; soldering and scripting for test automation; analyze results and guide integration toward production.

Partner with university researchers to enable GPU-accelerated training and inference for foundation models, multimodal AI, reasoning systems, and agents. Advise on distributed training, memory/throughput optimization, reproducible workflows, and evaluation; build prototypes, translate lab feedback, and support adoption across NVIDIA platforms. Travel up to 20%.

Design and build scalable automation, testing, and infrastructure for NVIDIA deep learning libraries across platforms. Develop full-stack tools from UIs to cluster and database layers, configure CI/CD, and advance industry-standard tooling to improve build, test, integration, and release workflows.