Future Tech Jobs
Future Tech Jobs
Develop automated tools for large-scale data analysis, vulnerability research, and exploit development. Investigate 0-day and n-day vulnerabilities by analyzing patches, malware, and system logs. Collaborate across teams to support threat intelligence and publish findings in blogs or conferences.
Conducts advanced vulnerability research and exploit development, analyzing patches and malicious artifacts to identify 0-day and n-day vulnerabilities. Develops automated tools for large-scale data analysis and collaborates across teams to publish findings and support threat intelligence efforts. Focuses on reverse engineering, proof-of-concept creation, and rapid response to emerging threats.
A Solution Architect will work closely with government clients and internal teams to design and deploy AI-driven solutions that address public sector challenges in areas like safety, health, and urban services. The role involves developing technical strategies, creating demonstration assets, guiding field deployments, and translating mission goals into AI implementations using NVIDIA's software and hardware platforms. This position emphasizes collaboration with global partners, hands-on technical leadership, and advocacy for AI adoption in government contexts.
This role involves working closely with customers to design and implement modern data and AI architectures on the Databricks Data Intelligence Platform. The Solutions Architect will act as a technical advisor, leading workshops, building proof-of-concepts, and translating business needs into scalable technical solutions. They will also contribute to growing the Databricks community through knowledge sharing and best practice dissemination.
A Senior Architect in the Forward Deployed Engineering team at Databricks leads the design and implementation of production-grade data and AI solutions for strategic customers. This role involves deep technical engagement, from architecture to implementation, integrating Databricks' platform into client environments while ensuring scalability, security, and business impact. The position emphasizes customer empathy, cross-functional collaboration, and the creation of reusable assets that influence product direction.
This role involves developing high-fidelity computational plasma models for semiconductor manufacturing processes such as plasma etching, deposition, and surface interactions. The engineer will work directly with customers—often on-site—to define challenges, validate simulations against real-world data, and integrate models into AI-driven workflows. Collaboration with data scientists and ML engineers is central, with an emphasis on delivering practical, impactful solutions in a hybrid working environment.
This role involves developing and applying machine learning interatomic potentials (MLIPs) to model atomistic systems, using state-of-the-art frameworks and large-scale datasets in chemistry and materials science. The Research Scientist will design and run experiments, advance AI-driven simulation models, and collaborate across disciplines to translate research into production-ready pipelines. Work spans high-performance computing environments with a focus on real-world engineering impact across industries like aerospace, energy, and semiconductors.
This role involves designing, deploying, and maintaining scalable cloud systems on AWS and Azure, with a strong focus on automation, CI/CD pipelines, and infrastructure as code. You'll work within agile R&D teams to enhance the security and resilience of Darktrace’s AI-driven cybersecurity platform. The role requires deep expertise in containerization, observability tools, and cloud-native technologies.
A Senior Software Test Engineer will lead test strategy and automation across frontend, backend, and mobile products using microservices and machine learning. The role involves designing test frameworks, mentoring team members, and integrating quality practices into CI/CD pipelines. The engineer will work in a cross-functional team, combining automation with exploratory testing to ensure robust product quality.
A Senior Software Test Engineer will lead testing initiatives within a cross-functional product engineering team, focusing on frontend, backend, and mobile systems powered by microservices and machine learning. The role involves designing automated test frameworks, mentoring team members, and integrating quality practices into CI/CD pipelines using modern tools and cloud infrastructure. Emphasis is placed on test ownership, automation, and fostering a strong team-wide quality culture.
Architect and develop scalable reinforcement learning post-training infrastructure that operates across GPUs, CPUs, and LPUs, from single-node experimentation to multi-thousand-node production systems. Work closely with AI researchers and infrastructure teams to optimize distributed training-inference-rollout loops, improve open-source RL frameworks, and integrate with distributed runtimes like Ray and Monarch. Focus on performance, fault tolerance, elastic scaling, and hardware-aware execution for next-generation AI workloads.
Develop and evaluate advanced optimisation, control, and machine learning techniques—such as reinforcement learning and physics-informed ML—for trajectory control in complex physical systems. Conduct simulations, experimental validation, and publish results in top-tier journals and conferences. Work within a multidisciplinary research group focused on intelligent systems and human–computer interaction.
This role involves leading the design, development, and deployment of advanced AI solutions to enhance operational efficiency and support business growth. You will collaborate with senior stakeholders, guide technical direction, and mentor a team of engineers while ensuring systems are secure, scalable, and compliant.
This role involves building and optimizing ecommerce platforms, AI-driven customer communication agents, and automated workflows to enhance customer experience and business performance. You'll develop WordPress sites, integrate payment and booking systems, and implement AI solutions using OpenAI APIs, RAG, and vector search. The role emphasizes translating commercial needs into technical solutions, with a focus on measurable outcomes like conversion rates, lead generation, and operational efficiency.
The Forward Deployed Engineer role involves embedding with client engineering teams to design, build, and deliver production-ready implementations of Thought Machine's Vault and associated products. Responsibilities include writing production-quality code, debugging complex issues, and providing technical consulting to ensure client success. The role requires travel to client sites and close collaboration with both client and internal teams.
