Future Tech Jobs
Future Tech Jobs
Design and define next-generation system architectures for DPUs and NICs, spanning hardware to application layers. Lead cloud networking solutions involving orchestration, provisioning, and security, while collaborating with global engineering teams and external customers. Develop prototypes, evaluate emerging technologies, and deliver clear architectural specifications for scalable data center systems.
This role involves collaborating with top game developers to optimize GPU performance and advance rendering technologies such as 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 using cutting-edge GPU technology. Responsibilities also include publishing research and presenting at conferences to drive AI and graphics innovation in gaming.
This role focuses on improving the end-to-end developer experience at scale, including build systems, CI/CD infrastructure, and developer tooling within a large monorepo environment. The engineer will design and maintain foundational systems that support thousands of daily builds across multiple cloud providers, with deep integration of AI (Claude) into engineering workflows. Work spans architecture, reliability, and productivity enhancements for engineering and research teams.
This role involves designing and maintaining large-scale, performance-sensitive distributed systems that serve Claude to millions of users globally. The engineer will work across the full inference stack, building intelligent routing, autoscaling, and deployment systems for AI models running on diverse accelerators across multiple cloud platforms. The position emphasizes real-time system resilience, compute efficiency, and close collaboration with research teams to enable next-generation model development.
DIGITAL MARKETING TRAINEESHIP (REMOTE)Become a Digital Marketing Professional and Build Real-World ExperienceAre you interested in digital marketing, online business, and helping organisations grow through effective marketing strategies? Do you want to gain practical experience while developing skills that employers are...
DIGITAL MARKETING TRAINEESHIP (REMOTE)Become a Digital Marketing Professional and Build Real-World ExperienceAre you interested in digital marketing, online business, and helping organisations grow through effective marketing strategies? Do you want to gain practical experience while developing skills that employers are...
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....
Build and optimize large-scale inference systems for cutting-edge AI models used in drug discovery, ensuring high-throughput performance and reliability across distributed infrastructure. Work closely with research and applied ML teams to scale model serving platforms and improve system stability. Focus on scalability, feature parity, and robust deployment of AI-driven scientific applications.
Lead the development and deployment of generative AI systems at scale within a cybersecurity context, focusing on LLMs and deep learning to enhance threat detection and response. Drive research strategy, mentor technical teams, and translate cutting-edge AI into production-grade solutions operating at planetary scale. Contribute to technical standards and represent the company through publications and thought leadership.
The role involves deploying, maintaining, and repairing advanced robotic systems used in automated warehouse operations. The engineer will troubleshoot complex hardware and software issues, mentor technicians, oversee field repairs and installations, and collaborate with cross-functional teams. Work includes hands-on robotics maintenance, process improvement, and frequent travel to customer sites across North America.
The Customer Director will lead strategic account growth and client relationships within Faculty AI's Life Sciences division, overseeing delivery of AI solutions for major pharma, MedTech, and research partners. This role involves shaping commercial strategy, mentoring cross-functional teams, and translating complex data concepts into impactful business outcomes. The role emphasizes thought leadership, high-level stakeholder engagement, and driving AI-driven transformation in healthcare.
Lead technical strategy and R&D in AI safety, building and mentoring a high-performing team focused on red teaming, model evaluation, and mitigation research for frontier AI systems. Drive thought leadership, publish in top-tier venues, and shape global AI safety practices in collaboration with leading labs and governments. Translate cutting-edge research into scalable, real-world safety solutions.
Lead the product vision and strategy for Wayve’s simulation, evaluation, and validation platforms used to develop and test AI-driven autonomous vehicles. Guide cross-functional platform teams to build unified, high-performance developer tools that ensure safety, reliability, and rapid iteration. The role involves deep collaboration with engineering and science teams, setting quality standards, and shaping how AI systems are validated before real-world deployment.
Design and build systems to proactively detect and enforce against abuse on OpenAI's products, including monitoring for new and existing features. Investigate critical escalations involving sensitive content and collaborate with product, policy, and engineering teams to develop scalable safety solutions. Develop detection prototypes and improve automation using data science and machine learning techniques.
Design and lead the evolution of large-scale AI infrastructure for training and inference workloads across thousands of GPUs and petabyte-scale data systems. Enable seamless cross-region execution and data federation to support Wayve's embodied AI and autonomous driving research. Provide strategic technical leadership and mentorship across engineering teams.
