Top Tech Jobs & Startup Jobs in NYC, NY

Develop and support NVIDIA CUDA Math Libraries across emerging and specialized platforms. Responsibilities include platform integration, functional qualification, defect triage, bug fixing, performance benchmarking, regression resolution, and building CI/CD qualification pipelines. The role requires high-performance numerical software development using C++ and Python, parallel computing, numerical methods, and software architecture, with preferred experience in CUDA, GPU computing, math libraries, cross-platform development, and embedded or safety-critical systems.

Develop and productize machine learning models for autonomous vehicle perception, including LiDAR and camera perception, sensor fusion, detection, classification, segmentation, and tracking. Build scalable data, training, metrics, and performance workflows, and implement efficient C++ code for the NVIDIA DRIVE AV platform. Collaborate across engineering teams, track advances in machine learning, and optimize models for real-time embedded inference.

Build the developer ecosystem for NVIDIA Dynamo, an open-source distributed AI inference framework. Responsibilities include creating demos, sample code, documentation, videos, technical talks, workshops, and office hours; collaborating with inference projects and open-source maintainers; troubleshooting deployments; gathering developer feedback; influencing engineering and product priorities; and communicating progress externally. The role requires hands-on experience with model serving, Kubernetes, distributed inference, performance optimization, and developer or partner programs.

Provides advanced software and customer support for NVIDIA networking technologies used in AI clusters. Reproduces and root-causes complex field issues to the source-code level, develops fixes and workarounds with R&D, analyzes high-performance network metrics, builds diagnostic tools, and supports technologies including InfiniBand, NVLink, and Spectrum-X. The role requires extensive C or Python experience in Linux or embedded systems, networking expertise, and strong customer communication.

Provides advanced technical support for NVIDIA InfiniBand, NVLink, GPU, networking, and HPC infrastructure products. Responsibilities include troubleshooting customer issues across installation, operations, maintenance, interoperability, Linux environments, and performance; responding through multiple channels; collaborating with engineering and marketing; and documenting support methodologies. The role requires deep networking, Linux administration, virtualization, cloud, containerization, and HPC expertise, along with strong communication and customer problem-solving skills.

Manage strategic banking accounts for NVIDIA’s Financial Services sales team. Own customer relationships, develop account strategies, forecast sales, drive revenue and platform adoption, expand market share, and build partnerships with cloud providers, OEMs, and ISVs. Evangelize NVIDIA’s accelerated computing technologies to executives, data scientists, and IT leaders while leading go-to-market plans, customer education, and cross-functional collaboration.

Develop and productize autonomous-driving perception software. Responsibilities include full SDLC execution, writing and testing C++ and Python code, integrating perception components, creating verification plans, deploying deep-learning models to embedded platforms, debugging systems, and evaluating performance with real and synthetic data.

Define and improve hardware and software architectures for NVIDIA data processing platforms. The role focuses on hardware-software co-design, full-stack performance optimization, benchmarking, workload analysis, system trade-offs, and collaboration with customers, partners, architects, and engineering teams to guide scalable accelerated computing solutions.

Developers Relations Manager specializing in robotics will advise startups on architecture, integration, code, simulation, robot learning, and NVIDIA robotics platforms. The role involves co-designing solutions, creating technical enablement resources, leading workshops, supporting synthetic data strategies, tracking ecosystem trends, influencing product roadmaps, and assisting with technical go-to-market activities. Strong expertise in robotics simulation, NVIDIA Jetson platforms, software development, and partner technical engagements is required.

Lead the architecture and implementation of NVIDIA’s large-scale data retrieval platform for foundation-model training. Build web crawling, source discovery, indexing, scheduling, fetching, ingestion, provenance, and policy-enforcement systems. Ensure production reliability, scalability, observability, and cost efficiency while supporting open-web, licensed, partner, code, STEM, and multimodal data. Partner across engineering, research, product, legal, privacy, and governance teams, mentor engineers, and set technical direction.