Temporal Technologies jobs

Técnico/a de Soporte en Relegalización (Temporal) Barcelona, Catalonia, Spain posted: Posted 2 Days Ago

Medical Digital Specialist (Contrato Temporal) GSK Tres Cantos, Madrid posted: Posted 7 Days Ago

SDE IV - Backend Bangalore Glance AI is an AI commerce platform shaping the next wave of e-commerce with inspiration-led shopping, less about searching for what you want and more about discovering who you could be. Operating in 140 countries, Glance AI transforms every screen into a stage for instant, personal, and joyful discovery, where inspiration becomes something you can explore, feel, and shop in the moment. Its proprietary models, seamlessly integrated with Google's most advanced AI platforms, Gemini and Imagen on Vertex AI, deliver hyper-realistic, deeply personal shopping experiences across categories such as fashion, beauty, travel, accessories, home décor, pets, and more. Designed to seamlessly integrate into everyday consumer technology, Glance AI reimagines the future of e-commerce with inspiration-led discovery and shopping. With an open architecture built for effortless adoption across hardware and software ecosystems, Glance AI is creating a platform that can become a staple in everyday consumer technology. It partners with the world's leading smartphone makers, connected TV manufacturers, telecom providers, and global brands - meeting people where they are: on mobile, smart TVs, and brand websites. Through Glance AI's rich first-party data and unparalleled consumer access, it harnesses InMobi's global scale, insights, and targeting capabilities to create high-impact, performance-driven shopping journeys for brands worldwide. Part of the InMobi Group, a global technology and advertising leader reaching over 2 billion devices and serving more than 30,000 enterprise brands worldwide, Glance AI is backed by Google, Jio Platforms, and Mithril Capital. What will you be doing? - Responsible

Operario Técnico Temporal- P&G Mequinenza (m/f/x) MEQUINENZA PLANT posted: Posted 30+ Days Ago

Solutions Architect (EST or PST) USA | Remote | Remote COMPANY OVERVIEW Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are 'Powered by Deepgram', including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram's voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram. COMPANY OPERATING RHYTHM At Deepgram, we expect an AI-first mindset-AI use and comfort aren't optional, they're core to how we operate, innovate, and measure performance. Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do. Additionally, we move at the pace of AI. Change is rapid, and you can expect

Field Sales Representative Traditional (GPV) - Madrid (temporal) Madrid, Spain posted: Posted 9 Days Ago

Data Annotation Specialist Austin, TX, Austin, Texas, United States Saronic Technologies is a leader in revolutionizing autonomy at sea, dedicated to developing state-of-the-art solutions that enhance maritime operations through autonomous and intelligent platforms. Job Overview We are seeking a Data Annotation Specialist to annotate and review visual datasets used to train and evaluate machine-learning models for maritime perception and autonomy. This role supports our software, perception, and autonomy teams by ensuring labeled data is accurate, consistent, and useful for model development. The ideal candidate has prior computer vision annotation experience, strong visual attention to detail, and the ability to maintain speed and accuracy through repetitive labeling work. This person should be comfortable following detailed instructions, adapting as labeling rules change, and supporting a fast-moving technical team. This is an on-site, full-time contract role with an intended path to full-time conversion based on performance and business needs. Upon conversion, the employee would be eligible for Saronic's standard full-time benefits. This position reports to the Data Annotation Manager . Responsibilities - Annotate and review large volumes of image, video, infrared, and other sensor data using computer vision labeling methods. - Identify vessels, objects, environmental features, and other elements relevant to maritime autonomy. - Maintain accuracy, consistency, and productivity across repetitive, detail-heavy datasets. - Apply evolving labeling guidelines and escalate unclear edge cases when needed. - Perform both manual annotation work and quality review of auto-labeled data as needed. - Willingness to support priority project deadlines when needed. Qualifications - Prior experience in

Repairs Technician - contrato temporal 6 meses Noblejas-Toledo posted: Posted 30+ Days Ago

Staff Software Engineer 30 Locations posted: Posted 30+ Days Ago

Physical Design Lead, Static Timing Analysis Sunnyvale, CA, USA In this role, you'll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You'll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems. In this role, you will drive Static Timing Analysis (STA) in the physical implementation of Application-specific integrated circuits (ASIC) using advanced technology nodes. You will lead timing margin derivation, constraint development and validation, and timing closure of large, complex high performance compute ASICs. You will develop static timing methodologies, margins, automation scripts, and write documentation. Additionally, you will work with architecture, logic design, and Design for testing (DFT) teams to fully implement cross-functional design requirements. The AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the

Médico/a Urgencias 100% remoto (Temporal) ESP - Any Location (Remote) posted: Posted 24 Days Ago

Especialista de Validaciones de Ingienería (Temporal) Panama Juan Diaz, Panama City, Panamá, Panama

SDE III - Backend Bangalore Glance AI is an AI commerce platform shaping the next wave of e-commerce with inspiration-led shopping, less about searching for what you want and more about discovering who you could be. Operating in 140 countries, Glance AI transforms every screen into a stage for instant, personal, and joyful discovery, where inspiration becomes something you can explore, feel, and shop in the moment. Its proprietary models, seamlessly integrated with Google's most advanced AI platforms, Gemini and Imagen on Vertex AI, deliver hyper-realistic, deeply personal shopping experiences across categories such as fashion, beauty, travel, accessories, home décor, pets, and more. Designed to seamlessly integrate into everyday consumer technology, Glance AI reimagines the future of e-commerce with inspiration-led discovery and shopping. With an open architecture built for effortless adoption across hardware and software ecosystems, Glance AI is creating a platform that can become a staple in everyday consumer technology. It partners with the world's leading smartphone makers, connected TV manufacturers, telecom providers, and global brands - meeting people where they are: on mobile, smart TVs, and brand websites. Through Glance AI's rich first-party data and unparalleled consumer access, it harnesses InMobi's global scale, insights, and targeting capabilities to create high-impact, performance-driven shopping journeys for brands worldwide. Part of the InMobi Group, a global technology and advertising leader reaching over 2 billion devices and serving more than 30,000 enterprise brands worldwide, Glance AI is backed by Google, Jio Platforms, and Mithril Capital. Job Summary We're looking for a Senior

Static Timing Analysis Engineer, Full-Chip STA Mountain View, CA, USA Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration. Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $138000 - $198000 (USD) + 15% bonus target + bonus + equity + benefits Learn more about benefits at Google . Deliver system-on-chip (SoC) Static Timing Analysis. Define SoC timing signoff process corners, derates, uncertainties and their tradeoffs. Drive clock tree Jitter and implementation for SoCs to achieve best energy, performance and area. Execute full chip timing constraint validation and timing signoff checklist criteria, perform full chip Static Timing Analysis (STA) and timing Engineering Change Order (ECO) creation, and oversee final timing signoff for SoCs. Minimum qualifications: Bachelor's degree in Electrical Engineering or Computer Science, or equivalent practical experience. 4 years of technical experience in silicon timing closure and chip integration. Experience in one or more static timing tools (e.g., PrimeTime,

Coordinador de Linea I (Temporal 6 meses) Ciudad Juarez, Chihuahua, Mexico posted: Posted 4 Days Ago

Plan Administrator – vida, accidentes y ahorro (contrato temporal) 2 Locations posted: Posted 30+ Days Ago

Memory Developer (in-house) Redwood City, CA, Redwood City, California, United States Join Us in Building the Future of Home Robotics At Sunday, we're developing personal robots to reclaim the hours lost to repetitive tasks. We're focused on an ambitious goal to make generalized robots broadly accessible, enabling households to take back quality time. We have spent the last 18 months building a talented team, securing capital, and validating our technology. We are now seeking passionate individuals to join us in the next phase of our growth. If you are ready to apply your skills to the forefront of robotics innovation, we'd love to hear from you. What to Expect As an in-house Memory Developer, you won't just collect data, you will shape the "memory" of our robot and play a vital role in training the AI that powers it. Using provided hardware, you will record high-quality demonstrations of tasks that directly influence how our robot learns to perceive and act in real environments. Additionally, you'll help test out new tasks, hardware, and software before we roll out to our remote team of data collectors. This is a flexible, on-site, role for individuals who are excited to contribute to the future of robotics. Compensation follows an hourly basis: - $35 per hour Contractors will work a fixed schedule of 5 days a week, 8 hours per day. There is also opportunity for growth in terms of learning additional skillsets. What You'll Do - Follow detailed task instructions to ensure high-quality data

Visual Merchandising Coordinator (contrato temporal de 6 meses) Madrid, Spain posted: Posted 30+ Days Ago

Delegado/a de Ventas Respiratorio (Cuenca y Albacete) - Contrato Temporal 2 Locations posted: Posted 11 Days Ago

Senior AI Integration Engineer 2 Locations posted: Posted 30+ Days Ago

Senior Engineer - Embedded Software Apps 2 Locations posted: Posted 30+ Days Ago

TÉCNICO INGENIERIA SISTEMAS DE MANUFACTURA II (TEMPORAL 06 MESES) Juarez, Chihuahua, Mexico posted: Posted 4 Days Ago

Prototyping Architect, PACE, AWS Prototyping and AI Customer Engineering (PACE) Mexico City, Mexico City, MEX Amazon Web Services (AWS) is looking for a Prototyping Architect with strong software engineering skills and a passion for building innovative solutions that show customers the art of the possible. You will join the Prototyping and AI Customer Engineering (PACE) team, an agile group of builders obsessed with understanding customer needs and partnering with them to experiment with new ideas that open up new markets or transform how they deliver products and services. In this role, you will use your software development skills to build functional prototypes using Generative AI, Agentic AI, Machine Learning, and Serverless Architectures. You will apply software engineering best practices to ensure prototypes provide a solid foundation for production solutions. We foster a creative environment where experimentation is encouraged. Move fast, learn from failures, and iterate toward breakthrough outcomes. Key job responsibilities - Architect and develop functional Generative AI and Agentic AI prototypes directly with customers using AWS AI services (Amazon Bedrock, Amazon SageMaker), including autonomous agents, multi-agent systems, RAG architectures, and LLM-powered applications that demonstrate a clear path to production - Leverage AI-driven development tools and modern engineering practices to rapidly build and iterate on prototypes, implementing patterns such as prompt engineering, function calling, agent orchestration, and tool use - Guide customers through complex technical decisions on LLM selection, agent design patterns, agentic architectures, and AI adoption strategies, translating business requirements into actionable technical approaches - Partner with Technical Program

Protocol Engineer New York, NY About Daylight Daylight is the decentralized energy company. We're building a protocol that converts distributed solar and storage systems into yield-bearing infrastructure. These assets are deployed behind the meter in American homes and businesses, generating electricity revenues that flow onchain as a single, liquid yield token. Our ambition is to build the economic engine for energy abundance-where capital fuels power, and power fuels everything. Backed by a16z, Framework Ventures, and other leading investors, we're bringing together top minds in energy and crypto to build a new kind of energy network-one that is transparent, decentralized, and designed for the energy transition. Learn more at www.godaylight.com . The Role As a Protocol Engineer at Daylight, you'll lead the development of our core smart contracts and decentralized backend systems that underpin our onchain energy network. Our protocol interacts with energy hardware in the real world and tokenizes the value of flexible energy capacity into crypto-native incentives-bridging digital and physical infrastructure through verifiable smart contracts, oracles, and data integrations. You should bring deep experience in Solidity and DeFi architectures (especially stablecoins, lending, or reward mechanisms), and be comfortable deploying cross-chain smart contracts using modern interoperability protocols like LayerZero or Wormhole. You should also be confident designing systems that ingest and act on offchain data in a trust-minimized way-whether through Chainlink, Chronicle, or custom oracle networks. We're a small team working quickly, so you should be comfortable jumping into backend tasks when needed-whether supporting our Django APIs or refining the