Future Tech Jobs
Future Tech Jobs
This role involves analyzing end-to-end performance of large-scale AI workloads across compute, network, storage, and software stacks. The engineer will design performance studies, identify bottlenecks, and drive optimizations in collaboration with deep learning and platform teams. Work focuses on profiling, benchmarking, and delivering actionable insights to improve the efficiency and reliability of NVIDIA's DGX Cloud AI systems.
This role involves collaborating with top game developers to optimize GPU performance and advance rendering technologies, particularly in path tracing and neural graphics. The engineer will develop and tune AI models and rendering algorithms, work closely with NVIDIA's architecture and driver teams, and create technical demonstrations and whitepapers. A strong focus is placed on pushing the boundaries of AI in gaming and real-time graphics.
Design and build systems to proactively detect and enforce against abuse on OpenAI's products, including monitoring for new launches and responding to critical escalations. Work cross-functionally with product, policy, and engineering teams to develop scalable safety mitigations and investigate high-risk harms. The role involves handling sensitive content and participating in an on-call rotation for urgent issues.
About the TeamSecurity is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity.The Security team protects OpenAI’s technology, people, and products. We are technical in what we build but are operational in how...
Lead a distributed engineering team building critical connectivity infrastructure for AI agents, focusing on secure, scalable access to external systems via the MCP standard. Responsibilities include managing token management, OAuth flows, and proxy systems that power tool use across Anthropic's products. The role emphasizes operational rigor, cross-team alignment, and technical leadership in a high-trust, enterprise-focused environment.
Lead and scale the Deal Desk function for Anthropic's international business across EMEA and APAC, overseeing complex deal structuring, pricing, and approvals while ensuring alignment with global standards. Build and manage a team of three, acting as the key commercial partner to sales on non-standard deals and bridging field needs with finance, legal, and revenue operations. Establish scalable processes, tooling, and metrics to support rapid international growth in a high-ambiguity environment.
Design and optimize high-performance AI inference systems for large-scale models on NVIDIA GPUs, focusing on frameworks like vLLM, kernel optimization, compiler infrastructure, and distributed execution. Develop benchmarking methodologies, contribute to MLPerf, and integrate cutting-edge research into production software. Work across compiler, scheduling, and performance teams to push the limits of accelerated computing in multi-GPU and multi-cloud environments.
This role involves building and optimizing AI inference systems for large-scale models on NVIDIA GPUs. The engineer will work on high-performance inference stacks, GPU kernel optimization, compiler infrastructure, and distributed scheduling, while contributing to benchmarks like MLPerf. Collaboration with research teams and integration of cutting-edge ML systems concepts into production software are key aspects of the role.
This role involves building and optimizing AI inference systems for large-scale models, focusing on high-performance GPU stacks, kernel optimization, and multi-node deployment. The engineer will contribute to frameworks like vLLM, develop compiler infrastructure, lead benchmarking efforts including MLPerf, and integrate cutting-edge research into production software. Collaboration across compiler, scheduling, and performance teams is central to advancing NVIDIA’s accelerated computing platform.
This role involves driving adoption of NVIDIA's AI and computing platforms among independent software vendors and developer communities. The Senior Developer Relations Manager will act as a technical advocate, supporting partners with integration, enabling solutions using NVIDIA's stack, and translating field feedback into product insights. Emphasis is placed on technical engagement, ecosystem growth, and cross-functional collaboration to accelerate AI-driven innovation in targeted verticals.
This role involves driving the adoption of NVIDIA's AI and computing platforms by engaging with ISVs and developer ecosystems. The Senior Developer Relations Manager will act as a technical advocate, supporting partners through integration, co-innovation, and problem-solving while gathering field insights to influence product development. The position emphasizes technical leadership, cross-functional collaboration, and strategic enablement in high-performance computing and AI domains.
Develop high-performance compiler and runtime components for NVIDIA's LPX inference stack, focusing on end-to-end optimization of neural network workloads. Collaborate with hardware teams to co-design future architectures and implement novel compilation techniques for spatial accelerators. Profile and benchmark performance while contributing to libraries and tools for cross-platform model deployment.
This role involves developing and automating test frameworks for a distributed system that manages thousands of resources across NVIDIA teams. The engineer will create test plans, automate UI and API testing, integrate tests into CI/CD pipelines, and enhance QA workflows using AI-driven tools. A key focus is leveraging Large Language Models and AI techniques to improve test generation, debugging, and validation efficiency in complex, cloud-based environments.
This role involves leading developer strategy and engineering integration for NVIDIA's AI and GPU technologies within a major cloud service provider. The person will drive partnerships, advocate for GPU acceleration in AI and generative AI applications, and collaborate across internal teams and external developers. Responsibilities include shaping product roadmaps, supporting go-to-market initiatives, and representing NVIDIA at technical events and conferences.
Develop high-performance compiler and runtime components for NVIDIA's LPX inference stack, focusing on optimizing neural network workloads for spatial processors. Collaborate with hardware teams to co-design future architectures and implement advanced compilation techniques such as graph transformations and memory optimizations. Work across the software stack, contributing to libraries, tooling, and deployment interfaces for seamless model execution.
