Advanced Cmos Device And Process Integration Engineer Jobs

About Ema Ema builds AI Employees for HR, IT and Finance. Our AI Employees take on the busy work across the employee experience, from recruiting, onboarding and benefits to IT support, invoice processing and payroll, so people can spend their time on work that needs them. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Creaegis, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production. We ship real systems that run real business processes at scale. Who you are We're looking for an innovative and passionate Machine Learning Engineers to join our team. You are someone who loves solving complex problems, enjoys the challenges of working with huge data sets, and has a knack for turning theoretical concepts into practical, scalable solutions. You are a strong team player but also thrive in autonomous environments where your ideas can make a significant impact. You love utilizing machine learning techniques to push the boundaries of what is possible within the realm of Natural Language Processing, Information Retrieval and related Machine Learning technologies. Most importantly, you are excited to be part of a mission-oriented high-growth startup that can create a lasting impact. You will: Conceptualize, develop, and deploy machine learning models that underpin our NLP, retrieval, ranking, reasoning, dialog and code-generation systems. Implement advanced machine learning algorithms, such as Transformer-based models, reinforcement learning, ensemble learning, and agent-based systems to continually improve the performance of our AI systems. Lead the processing and analysis of large, complex datasets (structu

Build strategies. Shape change. Lead enterprise data transformation. The Role We are seeking a visionary Data Strategy & Advisory Leader at Managing Principal level to shape the future of data in financial services. You will lead the design, delivery, and scaling of enterprise-wide data strategies for tier-one banks, insurers, and investment firms — helping them unlock the value of their data and meet the demands of an ever-evolving regulatory and digital landscape. This is not just about advising — it’s about owning the transformation agenda : defining innovative propositions, leading complex consulting engagements, inspiring cross-disciplinary teams, and driving commercial growth. You’ll be at the forefront of modern data strategy, governance, analytics, and AI adoption, while mentoring the next generation of data leaders. What You’ll Do Design and operationalise enterprise data strategies that enable business transformation across banking, insurance, and investment sectors. Lead high-impact consulting engagements in data governance, literacy, quality, regulatory response, and analytics-driven decision-making. Shape new market propositions in data consulting, including the adoption of AI, advanced analytics, and cloud-based data platforms. Drive process modernisation — from business analysis to technical design, solution implementation, and long-term optimisation. Build trusted senior stakeholder relationships , influencing strategic decisions and securing follow-on mandates. Scale data capabilities across internal teams and client organisations, ensuring consistent, high-quality outcomes. Contribute to thought leadership , industry events, and internal innovation initiatives. What We’re Looking For 8+ years of senior-level consulting experience in financial services, with a strong data strategy and advisory focus. Proven expertise across the full data lifecycle , supported by frameworks such as DAMA DMBOK, DCAM, or CDMC. Deep understandin

Job Title: Locum Speech and Language Therapist – Acute Inpatient Services Banding: Band 6 Location: John Radcliffe Hospital, Oxford Start Date: ASAP Rate: To be confirmed Duration: Ongoing (initial 3-month contract with extension potential) Working Hours: Monday to Friday, 8:30am–4:30pm Job Overview We are currently seeking a dedicated and experienced Band 6 Speech and Language Therapist (SALT) to join the acute inpatient team at John Radcliffe Hospital. This locum role offers the opportunity to work within a dynamic hospital environment, supporting a diverse caseload of acutely unwell patients across multiple medical specialties. You will be responsible for the assessment and treatment of patients with dysphagia and communication disorders on general medicine wards, including elderly care, cardiac, respiratory, trauma, and emergency medicine. The caseload also includes one cardiothoracic critical care unit, with flexibility to support other inpatient areas such as Acute Neurosciences, Critical Care, and Acute Stroke as needed. Key Responsibilities In this role, you will: Provide specialist assessment and management of dysphagia and communication difficulties Deliver therapy across a range of inpatient wards, adapting to caseload demands Work collaboratively with multidisciplinary teams to support patient recovery Maintain accurate clinical documentation in line with professional standards Flexibly support additional inpatient areas when required Utilise advanced competencies such as tracheostomy and videofluoroscopy (highly desirable) Qualifications and Experience To be considered for this role, you must have: A recognised degree in Speech and Language Therapy (or equivalent) HCPC registration and eligibility for RCSLT membership Experience in acute inpatient care and neurorehabilitation Strong clinical reasoning and communication skills Advanced competencies in tracheostomy and videofluoroscopy (desirable) Why Choose Pulse? From the moment you register with

About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. About Wolt At Wolt, we create technology that brings joy, simplicity, and opportunities to cities around the world. We started in 2014 with restaurant food delivery, and today we provide delivery of (almost) everything. You can find us in over 500 cities across 30 countries worldwide. In 2022, we joined forces with DoorDash, and together we continue to dream big and expand globally. Working at Wolt isn’t always easy, but it’s definitely exciting. Here, you’ll learn more, build more, and launch more than in most other companies. You’ll face many challenges, but you’ll also enjoy the journey. So, if you’re entrepreneurial at heart, highly motivated, and action-oriented – this could be the opportunity of your life. This is a unique opportunity to join the launch teams of our new stores and influence the future of one of the most advanced retail markets in the world! Job Locations: Central region, Tel Aviv, and Sharon. What you’ll be doing As a Store Manager, you will be responsible for full A–Z management of the store: Managing a team of ~20 pickers and shift leads. Overseeing work schedules, recruitment, training, and employee lifecycle management. Managing bonus programs and ensuring target achievement. Monitoring inventory, including reporting, packaging and

The Code Gen team is tasked with building AI-powered code transformation tools that transform rigid, legacy applications that suffer from poor scalability and high operating costs into modern, microservices-based architectures that are built on top of MongoDB. Join our team and be at the forefront of innovation and creativity. We are looking for a Staff Engineer with domain expertise and years of experience in modernizing legacy applications that are based on traditional database systems. A significant advantage is profound prior experience in leveraging AI, particularly LLMs and GenAI capabilities, to enable reliable, self-driving automation of the code transformation, iterative build, and test processes. In this role, you will be instrumental in initiating technical strategies and ideas, lead the Code Gen team in designing, building, and optimizing our code transformation workflow and tools. You will work on critical components that ensure the scalability, efficiency, and reliability of our services. This involves crafting sophisticated orchestration layers, robust integration points, and high-performance data systems that seamlessly connect and leverage advanced AI capabilities for code generation, build and test. This role will be based remotely in North America. A strong candidate for this position will have Extensive experience (8+ years) in software development and operations, with a proven track record of delivering high performance, correctness, and architectural excellence in fast-paced environments Experience using Relational Databases such as Oracle, MySQL, Microsoft SQL Server or PostgreSQL Experience with tools and methodologies for code analysis, refactoring, and automated testing Experience in designing and implementing complex software systems, collaborating effectively with engineers of all experience levels to achieve high reliability and performance Practical knowledge of integrating GenAI into large-scale, complex systems, including a clear unde

The Code Gen team is tasked with building AI-powered code transformation tools that transform rigid, legacy applications that suffer from poor scalability and high operating costs into modern, microservices-based architectures that are built on top of MongoDB. Join our team and be at the forefront of innovation and creativity. We are looking for a Staff Engineer with domain expertise and years of experience in modernizing legacy applications that are based on traditional database systems. A significant advantage is profound prior experience in leveraging AI, particularly LLMs and GenAI capabilities, to enable reliable, self-driving automation of the code transformation, iterative build, and test processes. In this role, you will be instrumental in initiating technical strategies and ideas, lead the Code Gen team in designing, building, and optimizing our code transformation workflow and tools. You will work on critical components that ensure the scalability, efficiency, and reliability of our services. This involves crafting sophisticated orchestration layers, robust integration points, and high-performance data systems that seamlessly connect and leverage advanced AI capabilities for code generation, build and test. This role will be based remotely in North America. A strong candidate for this position will have Extensive experience (8+ years) in software development and operations, with a proven track record of delivering high performance, correctness, and architectural excellence in fast-paced environments Experience using Relational Databases such as Oracle, MySQL, Microsoft SQL Server or PostgreSQL Experience with tools and methodologies for code analysis, refactoring, and automated testing Experience in designing and implementing complex software systems, collaborating effectively with engineers of all experience levels to achieve high reliability and performance Practical knowledge of integrating GenAI into large-scale, complex systems, including a clear unde

Our mission and customers: We are creating the freedom for SMEs to succeed by delivering Europe's leading finance workspace with banking at its core, augmented by financial tools. We are proud to be rated 4.8 on Trustpilot, based on 55,000+ reviews. Our culture puts customer satisfaction at the core of what we do, as proven by our Net Promoter Score of 75 (more about our culture here). Our journey: Founded in 2017 by Alexandre and Steve, Qonto has grown to 1,600+ Qontoers serving over 600,000+ customers across 8 European countries. We have been profitable since 2023, and we are just getting started. Our beliefs: We hire for skills and potential. With 80+ nationalities, 45% women, of which 56% of women in our leadership team, diversity isn't a program; It's who we are. We've built a discrimination-free hiring process because the best teams are built on merit. AI at Qonto: AI is deeply embedded in how we work (here) - Every Qontoer gets unlimited access to the best AI tools. We want people who experiment without waiting for permission, push AI beyond the obvious, know when to trust it, and when to question it. ------------------------------------------------------------------------------------------------------ Join us as Product Designer in the AI Lab to design AI agents end-to-end — from discovery to delivery — and accelerate Qonto's AI roadmap alongside a team of ~12 engineers, a Product Designer, a PM, and a PMM building on top of one of the most advanced in-house agent platforms in European fintech. You will report to Sophie Cornay, Head of the AI Lab, and work within a fast-moving team of ~15 people shipping AI agents at high cadence. ➡️ What you'll do Design end-to-end experiences for AI agents (from concept to shipped UI/UX) across Qonto. Turn ambiguous problems into clear product flows through discovery, prototyping, and iteration. Run user research (interviews, tests) and translate insights into actionable design decisions. Partner daily with engineers a

As a Research Engineer on our team, you will partner with Research Scientists to turn research ideas into working systems, building the data, tooling, and infrastructure that enable rapid iteration, trustworthy evaluation, and a smooth path from prototype to production. Building on our track record of AI-powered solutions (e.g., Bits AI , Bits Evolve , and our time series foundation model ), Datadog AI Research tackles high-risk, high-reward problems grounded in real-world challenges in cloud observability and security. We are focused on two research areas: World Models for Observability -- Training multimodal foundation models that learn the joint dynamics of distributed systems across metrics, traces, logs, topology, and events. These models power advanced forecasting, anomaly detection, root cause analysis, counterfactual simulation ("what if?"), and provide a learned planning backbone for our autonomous agents. Trained Agents for Observability -- Post-training models to operate autonomously across Datadog's domain. SRE incident response is our first target, with a clear path to code repair, security response, and infrastructure optimization. We build the simulation environments, RL training loops, and evaluation infrastructure needed to train agents that match or surpass frontier models at a fraction of the cost. What You'll Do: Build and operate multimodal data pipelines, training and evaluation infrastructure, benchmarks, and internal tooling Implement models, run experiments at scale, and profile for reliability, performance, and cost Build simulation environments and replay infrastructure for agent training and evaluation Orchestrate distributed training and distributed RL with Ray, including scheduling, scaling, and failure recovery Establish rigorous automated benchmarks and regression tests for world model predictions, agent performance, and simulation fidelity Collaborate with Research Scientists, Product, and Engineeri

Software is eating the world, but AI is eating software. We live in unprecedented times – AI has the potential to exponentially augment human intelligence. Every person will have a personal tutor, coach, assistant, personal shopper, travel guide, and therapist throughout life. As the world adjusts to this new reality, leading platform companies are scrambling to build LLMs at billion scale, while large enterprises figure out how to add it to their products. To make them safe, aligned and actually useful, these models need human eval and reinforcement learning through human feedback (RLHF) during pre-training, fine-tuning, and production evaluations. This is the main innovation that’s enabled ChatGPT to get such a large headstart among competition. At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. At the foundation of these products is the Platform Engineering team. In this role, you will support the design and development of shared platforms used across Scale. This includes designing our foundational data platforms and lifecycle, architecting Scale’s core cloud infrastructure and orchestration stack, and redefining how engineers develop, build, test, and deploy software at Scale. You’ll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises, startups, governments, and large tech companies. You will: Drive the design, and implementation of our foundational platforms and systems, working closely with stakeholders and internal customers to understand and refine requirements. Collaborating with cross-functional teams to define, design, and deliver new features. Proactively identifying opportunities for, and driving improvements to, current p

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE The largest, most demanding enterprises are starting to run on Baseten, and they arrive with a range of security, compliance, and procurement requirements. As an Engineer on Baseten's enterprise engineering team, you'll build the capabilities that enable large organizations like Writer, HubSpot, and Notion to succeed on Baseten. Enterprise engineering authors the core building blocks, APIs, and user experiences powering the Baseten platform: identity and access management, billing, regional isolation, and self-hosted and single-tenant deployment options. This is deep product and systems work across the full stack, from designing authentication and authorization systems using standards like OAuth and OIDC to shipping the admin experiences enterprise IT teams use to manage their organization. EXAMPLE INITIATIVES Recent and upcoming work on the team: Fine-grained authorization for users, service accounts, and agentic workloads SSO and SCIM support, allowing customers to centralize and automate access to Baseten Expanding the billing platform to support evolving pricing models, advanced data exports, and controls to manage spend In-product management and enforcement of customer compliance requirements like data residency and HIPAA Securing network paths in and out of a customer's models with private connectivity and ingress and egress restrictions Allowing customers to run Baseten inside their own VPC, on-prem, or a

🩺 Specialty Doctors in Obstetrics & Gynaecology (MRCOG) – London 📍 Location: London, United Kingdom 💼 Position: Specialty Doctor – Obstetrics & Gynaecology 📅 Contract Type: Full-time / Part time / Adhoc 💷 Salary: Hourly rate vary, specific to each NHS trust 🔍 About the Role: An exciting opportunity has arisen for dynamic and motivated Specialty Doctors in Obstetrics & Gynaecology looking for locum opportunities in London . This is an ideal post for clinicians who have completed their core training and hold the MRCOG qualification, looking for adhoc work to supplement their income or pert time roles for a better work life. balance You will work alongside a team of Consultants, Registrars, and Junior Doctors to deliver high-quality, patient-centred care across both obstetrics and gynaecology services. The role involves active participation in the on-call rota, labour ward, antenatal clinics, emergency gynaecology, and elective theatre sessions. ✅ Key Responsibilities: Provide day-to-day clinical care across inpatient, outpatient, and emergency settings. Participate in the O&G on-call rota, including labour ward cover. 🎓 Person Specification: Essential: Full GMC registration (or eligibility to register) MRCOG (Membership of the Royal College of Obstetricians and Gynaecologists) Paid NHS Experience in O&G Ability to work independently in core areas of Obstetrics and Gynaecology Desirable: Experience working within the NHS Completion of Advanced Life Support in Obstetrics (ALSO) or equivalent Interest in subspecialty areas (e.g., maternal medicine, fetal medicine, urogynaecology)

P-1444 Databricks is on a mission to simplify and democratize data and AI — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. As a Fullstack software engineer, you will work with your team and product management to make insights from data simple. We are looking for engineers that are customer obsessed, who can take on the full scope of the product and user experience beyond the technical implementation. You'll set the foundation for how we build robust, scalable and delightful products. Vancouver will be the newest R&D center for Databricks, expanding our presence in the Pacific Northwest. We are actively hiring world-class engineers to join us on our mission to democratize data + AI. We envision the Vancouver site becoming a key driver of product innovation at Databricks. To start, we’re bringing a few strategic areas to the Vancouver site and we have several open roles across the teams below, including: Log Analytics - Our customers increasingly use Databricks to analyze petabyte-scale logs in real time. This creates new challenges across the entire data processing pipeline, including ingestion, indexing, processing, and the user experience itself. AI/BI - AI/BI is redefining Business Intelligence for the AI age. We launched this product last summer and have already seen tremendous adoption (98.7% of our data warehousing customers are already using AI/BI!). From rich dashboarding and advanced visualizations to powerful talk-to-your-data solutions, the products w

P-1443 Databricks is on a mission to simplify and democratize data and AI — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. As a Fullstack software engineer, you will work with your team and product management to make insights from data simple. We are looking for engineers that are customer obsessed, who can take on the full scope of the product and user experience beyond the technical implementation. You'll set the foundation for how we build robust, scalable and delightful products. Vancouver will be the newest R&D center for Databricks, expanding our presence in the Pacific Northwest. We are actively hiring world-class engineers to join us on our mission to democratize data + AI. We envision the Vancouver site becoming a key driver of product innovation at Databricks. To start, we’re bringing a few strategic areas to the Vancouver site and we have several open roles across the teams below, including: Log Analytics - Our customers increasingly use Databricks to analyze petabyte-scale logs in real time. This creates new challenges across the entire data processing pipeline, including ingestion, indexing, processing, and the user experience itself. AI/BI - AI/BI is redefining Business Intelligence for the AI age. We launched this product last summer and have already seen tremendous adoption (98.7% of our data warehousing customers are already using AI/BI!). From rich dashboarding and advanced visualizations to powerful talk-to-your-data solutions, the products w

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: We’re looking for exceptional storage & database engineers who want to join us on a new project to deeply integrate SpaceXSI's advanced AI infrastructure into a platform used by around 600 million users every month. We’re building a new storage tier that powers training, inference, recommendations, and real-time data extraction. We build and operate: An exabyte-scale S3-compatible object store A multi-tenant transactional key/value store that serves 100s of millions requests per second A caching tier that serves billions of requests per second A scalable vector database that powers our recommendation systems A few other specialized databases serving hundreds of millions requests per second RESPONSIBILITIES: Design, build, and launch to production new features and improvements aimed at unifying common components across the storage systems Dive into performance issues and work with customers and deliver solutions to cater to customers’ latency, availability and data durability requirements. Lead and drive incident responses and recovery with your peers. Review and contribute to incident postmortems and hold a high bar for the same. Work

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: We’re looking for exceptional media engineers who want to join us on a new project to deeply integrate SpaceXSI's advanced AI infrastructure into a platform used by around 600 million users every month. We’re bringing SpaceXSI's technology stack and using it to transform the video product experience - video playback, live streaming, Spaces, audio/video calls, and more. This is your chance to contribute in a major way while leveraging all of the powerful AI tools and talented colleagues at SpaceXSI. RESPONSIBILITIES: Build the next generation of large-scale video services Contribute to and rebuild core media processing and distribution pipelines in high-performance languages (Rust, C++ or Go) Obsess over every millisecond and pixel, ensuring end-to-end media quality and performance at scale across a rich suite of products and user platforms BASIC QUALIFICATIONS: At least 5 years of experience Obsessed with media quality, performance, and product experience Proficient in high performance C++ or Go In-depth knowledge of either WebRTC or LL-HLS or video transcoding pipelines Familiar with building and running scalable and resilient distributed syste