Future Tech Jobs
Future Tech Jobs
NVIDIA is looking for an experienced HPC DevOps and Network Engineer to help us build the supercomputers and HPC clusters of the future. As a Senior HPC DevOps Engineer, you'll be a key player in groundbreaking advancements in artificial intelligence...
As a Senior HPC DevOps Engineer, you will design, implement, and maintain large-scale HPC and AI clusters, focusing on state-of-the-art monitoring, logging, and alerting systems. You will work closely with HPC, OS, GPU compute, and systems specialists to architect and develop performance platforms, streamline CI/CD pipelines, and automate complex networking and operational tasks.
As a Lead Software Engineer with a focus on Machine Learning, you will set the technical direction and oversee the delivery of complex AI projects. You will work on high-risk, ill-defined projects, design production-grade ML systems, and mentor team members while driving innovation and reusable solutions across the organization.
As a Machine Learning Engineer, you will work on delivering bespoke AI solutions for diverse clients, focusing on scalable software architecture and best practices. You will collaborate with cross-functional teams to ensure the technical feasibility and timely delivery of high-quality ML systems, and act as a technical advisor to clients and partners.
This role involves working closely with research scientists and simulation engineers to build and optimize machine learning models for real-world physics and engineering problems. You will design, implement, and scale models using distributed training architectures and cloud services, while also mentoring colleagues and translating research into reusable libraries and products.
This role involves owning the visual architecture and design systems that scale across Synthesia's customer lifecycle. You will partner with Sales, Customer Success, and Product teams to embed design into commercial motions, driving adoption, expansion, and customer success. Responsibilities include defining template systems, motion frameworks, and brand standards, as well as mentoring junior designers and driving the evolution of design tooling and operations.
As a Product Feature Owner for ADAS, you will take end-to-end responsibility for specific ADAS functionalities, ensuring they meet OEM requirements and align with internal capabilities. You will collaborate closely with OEMs, product teams, and engineering teams to define feature scope, set performance targets, and ensure compliance with industry standards.
This role involves building and maintaining real-time data streaming infrastructure at petabyte scale using Apache Kafka, Flink, Spark, and Kubernetes. The engineer will design low-latency, high-throughput pipelines to process trillions of security events daily, enabling threat detection and incident response across CrowdStrike’s global platform. Emphasis is placed on scalability, fault tolerance, observability, and empowering internal teams through platform-as-a-service capabilities.
About usFounded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.Our vision...
As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native...
As a Senior Research Engineer, you will work on cutting-edge challenges in generative AI, specifically focusing on creating high-quality, expressive, and real-time synthetic voices. You will adapt and optimize speech models, implement post-training techniques, and integrate novel architectures to enhance realism and responsiveness in TTS systems.
This role involves leading the end-to-end technical delivery of AI systems for OpenAI's customers, translating business goals into technical roadmaps, and driving adoption through close collaboration with customer teams. The Technical Deployment Lead will coordinate across internal engineering, research, and product teams while embedding directly with clients to ensure successful deployment and measurable impact. It emphasizes ownership of complex, high-stakes projects from prototype to scale, with a focus on reusability, field feedback, and strategic execution.
This role involves working in a highly creative, iterative environment to advance foundational AI models for drug design. You will collaborate with scientists and engineers, implement and optimize state-of-the-art ML models, and contribute to the development of innovative solutions in computational biology and chemistry.
This is a fantastic opportunity to join Luminance, the pioneer of Legal-Grade™ AI for enterprise. Backed by internationally renowned VCs and named in both the Forbes AI 50 list of ‘Most Promising Private AI Companies in the World’ and Inc....
As a Senior Machine Learning Engineer, you will lead the deployment of AI models and engineering surrogates to customer production environments, working closely with Data Scientists, Simulation Engineers, and customers. You will drive technical decisions, mentor team members, and travel to customer sites to build solutions on-site, ensuring practical and impactful outcomes.
