Foundation jobs

Security Engineering Manager, AWS Foundational & Hardware Security Austin, Texas, USA AWS Security is seeking an experienced and technical Security Engineering Manager to lead the Foundational & Hardware Security team. In this role, you will own the hardware security practice within AWS, driving security strategy across custom silicon design, firmware, and platform technologies. You will lead a team of world-class security engineers, engage deeply with AWS hardware engineering and platform teams to shape their security roadmaps, and ensure that AWS hardware platforms - from custom chipsets to edge and hybrid devices - are built and operated to the highest security standards. This is a high-impact leadership role at the intersection of hardware engineering and security, with direct influence on the security posture of AWS's global cloud infrastructure, custom silicon programs, and edge computing portfolio. Key job responsibilities * Lead, mentor, and grow a team of security engineers, fostering a culture of technical excellence and ownership * Engage early with AWS hardware engineering teams - including silicon design, firmware, and platform engineering - to influence their security roadmaps, embed security requirements from the earliest stages of product design, and ensure security is a first-class consideration from chip architecture through deployment * Define and drive the multi-year hardware security strategy for AWS, covering: * Custom silicon security: chip-level security architecture for AWS-designed processors such as Graviton, Trainium, and Inferentia - including secure boot, hardware root of trust, memory protection, and inter-chip communication security (encryption, side-channel resistance, power analysis attack mitigations) * Firmware

SAP Domain Architect Athens, Attiki, Greece

Associate Art Director (Future Opportunity) Reston, VA

Senior Machine Learning Engineer – VLM/LLM Evaluation Mountain View, CA, USA; San Francisco, CA, USA; Kirkland, WA, USA; New York City, NY, USA Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The mission of the Waymo AI Foundations team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of safely operating Waymo vehicles in dozens of cities and under all driving conditions. As part of our work, we also initiate and foster collaborations with other research teams in Alphabet. AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation. This role follows a hybrid work schedule and you will report to a Senior Staff Software Engineer. You will: - Work with a creative team of people who help to build the state-of-the-art Foundation Models that are used

LLM Machine Learning Research Engineer Seattle, United States of America Apple is seeking a Research Engineer to join our Foundation Model Preparation and Algorithm Team. We are looking for all levels of talent to bring innovative AI research into Apple products. We are looking for strong ML applied scientists and engineers to build groundbreaking AI infrastructure and algorithms. This infrastructure will power the optimization of Apple Foundation models, including on-device and server Apple Intelligence models. My team is directly responsible for general model capability, use-case-oriented post-training, and also the feature delivery for Apple Intelligence. You should be a strong scientist and/or engineer who has a background in building state-of-the-art LLMs. Your work will have a direct impact on billions of Apple clients. You will collaborate with world-class talent in LLM training, on-device and server optimization, ML tools/platforms, datasets, and evaluation. You will develop reliable and scalable pipelines and algorithms, such as:Model optimization pipelines, State-of-the-art optimization algorithms, State-of-the-art post-training techniques. Minimum Qualifications: Experience developing, optimizing, or training large language models (LLMs), large foundation models, or generative AI models. Software engineering skills in Python and general-purpose system administration and infrastructure management abilities. History of applied research in the neural network model life cycle, training, or a related application area. Experience with languages like Python, C/C++. Track record of driving scientific investigations and experiments, and overcoming obstacles and uncertainty in a research environment. BS degree and 3+ years of proven experience. Preferred Qualifications: Publication record at top AI/ML venues. Experience with LLM LoRA

Senior Vice President, Forward Deployed Engineer New York, NY, United States

Registered Nurse I Inpatient Rehabilitation Muskogee Campus - Hospital Muskogee Campus - Hospital

Applied Research Scientist / Engineer - Deployment Palo Alto, California, United States At Rhoda AI, we're building the next generation of generalist intelligent robots. We own the full robotics stack from high-performance hardware and robot systems to the infrastructure and state-of-the-art foundation world models that control our robots. Our robots are designed to be generalists capable of operating in complex, real-world environments and handling long-tail edge cases, made possible by our cutting edge research and end-to-end system design. We've raised over $400M and are investing aggressively in model research, infrastructure, hardware development, and manufacturing scale-up to make generalist robotics a reality. We're looking for Applied Research Scientists and Research Engineers to take our foundation world models and adapt them for specific customer applications and industry use cases. We hire across levels - from senior/MTS to staff. This is a customer-facing role at the intersection of research and deployment - you'll work directly with partners and end users to understand their needs, translate them into model adaptations, and deliver measurable improvements in real-world settings across industries like logistics, manufacturing, and beyond. What You'll Do - Work directly with customers and partners to understand application requirements and translate them into concrete model adaptation strategies - Fine-tune and adapt our foundation world models for domain-specific tasks, environments, and operational constraints - Design and run targeted experiments to evaluate model performance against customer-defined success criteria - Build application-specific evaluation benchmarks and testing frameworks to validate model behavior in real customer environments - Identify gaps

AI Research Scientist - Datadog AI Research (DAIR) New York, New York, USA As a Research Scientist on our team, you will partner with Research Engineers, working on fundamental research problems and collaborating with Datadog's product and engineering teams to translate research advances into products. 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: Conduct research in generative AI and machine learning, building specialized foundation models and trained agents for observability Train multimodal models on large-scale, diverse telemetry data (metrics, logs, traces, topology, events) using distributed training infrastructure Design and build simulated environments and RL training loops for on-policy agent training and evaluation Collaborate

Working student - Software process governance (f/m/div) Munich (Germany)

Senior Vice President, Senior Cloud Security Engineer New York, NY, United States

Member of Technical Staff - Infrastructure Engineer, Frontier AI & Robotics (FAR) San Francisco, California, USA Amazon's Frontier AI & Robotics (FAR) team is seeking a Member of Technical Staff, Infrastructure to build and scale the foundational systems that power our robotics research and development platform. In this role, you will design and operate the distributed infrastructure that enables our researchers and engineers to train foundation models, run large-scale experiments, and deploy intelligent robotic systems at Amazon scale. Join the next revolution in robotics, where you'll work alongside world-renowned AI pioneers to push the boundaries of what's possible in robotic intelligence. As a Member of Technical Staff focused on Infrastructure, you'll build the critical platform layer that accelerates every aspect of FAR's research - from high-throughput data pipelines and experiment management systems to low-latency model serving and configuration delivery for robotic deployments. This role is deeply technical and focuses on performance, scalability, and reliability at scale. You will design systems that support volumes of training data, operate with strict latency requirements, and provide the compute and data foundation that enables breakthrough research across FAR's robotics ecosystem. Key job responsibilities • Design and build scalable compute and data infrastructure to support model training, inferencing, and eval for frontier AI/Robotics development • Lead large technical initiatives and shape the architecture of FAR's research platform infrastructure • Develop tooling and frameworks that accelerate research workflows, including dataset management, visualization, and quality assessment systems • Optimize query performance and data availability for experimentation and

Department Coordinator - Blood Bank Yale Campus - Hospital Yale Campus - Hospital

Director, Software Engineering Bengaluru, Karnataka, India About Zuora At Zuora, we help businesses grow smarter and adapt faster. Our platform powers modern business models - from subscriptions and usage-based pricing to AI-driven and outcome-based offerings - helping companies launch new products, automate complex billing, and unlock predictable, recurring revenue. We've led the Subscription Economy for more than a decade. Now we're evolving again by building the definitive platform for quote to cash and helping companies monetize their products and services with an adaptable, AI-ready foundation. The Opportunity Zuora is re-architecting CPQ for the next generation-moving beyond traditional configuration and pricing into AI-driven, agentic quoting systems that directly impact revenue growth and deal velocity. This role sits at the center of that shift, driving the core CPQ platform (DealDesk + pricing foundations) while unlocking high-leverage capabilities like agent-assisted quoting and pricing optimization (CPQ-x). You'll tackle hard problems at the intersection of distributed systems, pricing complexity, and applied AI-from building scalable pricing engines to embedding intelligent agents into quote workflows. You'll define and deliver the technical foundation for agentic quoting, de-risk critical GTM and product gaps, and shape how Zuora monetizes AI to drive measurable pricing uplift and sales efficiency. About You You'll be successful in this role if you can own complex systems end-to-end and translate ambiguity into scalable, production-grade platforms. You're equally comfortable going deep on architecture (e.g., pricing engines, distributed systems) and driving alignment across product, GTM, and data teams to ship high-impact capabilities. You may be a great

Communication & Project Manager - Traineeship Brussels, Belgium

Enterprise Account Executive UK - Data Foundation (MuleSoft + Informatica) United Kingdom - London The Power of MuleSoft & Informatica: Fueling the Agentic Enterprise AI agents are actively reshaping how businesses automate decisions, orchestrate processes, and engage customers at scale. But AI agents are only as powerful as the data and integrations that fuel them. This is where MuleSoft and Informatica become mission-critical. 🚀 About the Role Salesforce is looking for an exceptional Enterprise Account Executive to join our fast-growing Data Foundation team, focused on the MuleSoft & Informatica portfolio. This is a strategic, senior sales role - not a conventional tactical position. Key Focus Areas: Own and grow a high-value enterprise territory Drive complex, multi-million dollar deals with C-level executives Define and execute Go-to-Market (GTM) strategy for your sector Transform how enterprises leverage API management, integration platforms, and data connectivity The majority of our field leaders are internal promotions: this role is a genuine career-defining opportunity. 📋 What You'll Be Doing Strategic Sales Leadership Proactively identify, qualify, and close a robust sales pipeline with focus on New Business acquisition Conduct strategic prospecting with CTO/CIO, Engineering/IT Leaders, and senior business executives Own and execute comprehensive account strategies to penetrate multiple business units Relationship Building & Growth Build and sustain strong, lasting C-level relationships that generate long-term expansion opportunities Lead white space analysis and land-and-expand strategies within assigned accounts Develop compelling business cases that clearly articulate ROI for enterprise integration and data connectivity challenges Collaboration & Execution Partner with Solution Architects/Engineers

MW Staff

AI Scientist, BioMedical AI South San Francisco, California, United States About Xaira Therapeutics Xaira is an innovative biotech startup focused on leveraging AI to transform drug discovery and development. The company is leading the development of generative AI models to design protein and antibody therapeutics, enabling the creation of medicines against historically hard-to-drug molecular targets. It is also developing foundation models for biology and disease to enable better target elucidation and patient stratification. Collectively, these technologies aim to continually enable the identification of novel therapies and to improve success in drug development. Xaira is headquartered in the San Francisco Bay Area, Seattle, and London. About the Role We are looking for an AI Scientist to join our team at the intersection of machine learning and single-cell biology. This role will focus on developing and applying foundation models to large-scale perturb-seq and single-cell datasets to uncover new biological mechanisms and therapeutic opportunities. You will help design scalable ML architectures that can extract insight from high-dimensional perturbation data and integrate across multi-omic modalities. Key Responsibilities - Design, train, and refine foundation models tailored to perturb-seq and other single-cell datasets. Build pipelines for preprocessing, normalization, and integration of large-scale single-cell and perturbation data. - Apply ML/AI approaches to model cellular responses to perturbations and identify causal biological insights. - Collaborate with experimental biologists to align computational methods with experimental design and discovery goals. - Develop multimodal integration approaches across transcriptomic, epigenomic, and proteomic single-cell readouts. - Publish methods and results in top scientific

Robot Perception Engineer Palo Alto, California, United States At Rhoda AI, we're building the next generation of generalist intelligent robots. We own the full robotics stack from high-performance hardware and robot systems to the infrastructure and state-of-the-art foundation world models that control our robots. Our robots are designed to be generalists capable of operating in complex, real-world environments and handling long-tail edge cases, made possible by our cutting edge research and end-to-end system design. We've raised over $400M and are investing aggressively in model research, infrastructure, hardware development, and manufacturing scale-up to make generalist robotics a reality. We're looking for a Robot Perception Engineer to develop and maintain the perception systems that give our humanoid robots a real-time understanding of the world around them. You'll own the software that transforms raw sensor data into reliable, actionable perception - from sensor integration and calibration to safety-certified object detection and streaming data to our foundation models and teleoperation stack. What You'll Do - Develop and maintain real-time perception pipelines - integrating and calibrating sensors (cameras, LiDAR, IMUs, depth sensors) with our humanoid robot platforms - Build and optimize object detection, tracking, and scene understanding systems for safe operation in complex, unstructured environments - Own the streaming infrastructure that delivers sensor data reliably to foundation models, teleoperation systems, and onboard control stacks - Work closely with the AI/ML team to bridge perception outputs and learned policy inputs - ensuring low-latency, high-reliability data delivery - Implement and validate safety-certified perception components, including object detection

Senior Lead - Footwear Development & Engineering Ho Chi Minh City Senior Lead - Footwear Development & Engineering At a Glance: This is your opportunity to become part of the worlds' fastest growing sports company. On is not only disrupting the product landscape but also the supply chain. Your Team: As a Senior Lead - Development & Engineering, you are responsible for leading the footwear engineering functions such as pattern, tooling... for the next-level of On's products, as well as contributing to the improvement of production processes and product quality. As an important member of the Sourcing team, you will be based in Ho Chi Minh City or Hanoi as mission assigned. Your Mission: - Lead footwear engineering functions such as pattern, tooling etc. - Establish guideline for pattern and last management - Provide technical expertise and problem-solving support during product development meetings - Lead process standardization in development and commercialization - Work with innovation team to support the implementation of new technologies into inline production - Live and share our commitment to sustainability, product integrity and quality, and drive initiatives that set ON apart from other brands - Oversee product development and commercialization timelines to guarantee on-time deliveries. Your Story: - Strong expertise in footwear engineering with highly attentive to details, function and quality - Experience in people management and stakeholder management in working with cross functional teams - Excellent communication and collaboration skills, working effectively across teams and departments - Able to travel frequently to On's manufacturing partners

Wissenschaftlicher Mitarbeiter (m/w/d) im Bereich der Festphasenchemie befristet für 2 Jahre Penzberg, Bavaria, Germany This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Together, more than 100'000 employees across the globe are dedicat...

Software Engineer, Finance Applications Bay Area, CA, United States of America Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams - People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more - provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurture new initiatives, and more. Every challenge creates possibilities, and we need different perspectives to see them all. Bring yours to Block. The Role The Financial Platform Eng team is part of Block's platform engineering org, with a mandate to run the foundational financial technology infrastructure supporting all our brands. Our charter includes building scalable, reliable, and forward-looking financial infrastructure, from revenue streams to reconciliations to GL to street reporting. This team powers key business functions spanning the CFO org and aids at strategic decision-making. As a Software Engineer, you'll design and build the backend services, integrations, and workflow engines that keep the foundational financial operations running. Often you will focus on transforming complex financial requirements into scalable technology solutions - with a specific emphasis on AI enablement. We are an AI-driven engineering team - we use agentic coding tools across our entire development lifecycle, from design exploration through implementation and review, and we expect every engineer to do the same. Success in this role depends on strong

Principal Software Engineer - Hosting United States (Remote) About Pantheon Pantheon brings together exceptional builders who take ownership, drive meaningful impact, and shape what's next for the web. We power more than 300,000 websites globally for organizations including Google, Princeton, Salesloft, Clorox, and the United Nations. Every day, thousands of developers and marketers use our WebOps platform to build, iterate, and scale WordPress, Drupal, and Next.js sites that reach billions of people worldwide. As an employer, we operate with the same philosophy that drives our product: foundation and freedom. Pantheon is a vibrant, remote-forward team of experts who care deeply about their craft and results. Here, you take ownership of work that matters, contribute alongside exceptional people, and see the impact you create. The Role Pantheon is seeking a Principal Engineer to join our Hosting Platform - the team responsible for the infrastructure powering 700,000+ websites and 17 billion monthly page views. You'll work at the core of what makes Pantheon run: the systems that provision, serve, and scale sites across our Global CDN, Google Cloud infrastructure, and developer toolchain. We're looking for someone who has built or operated infrastructure at scale - at a CDN or edge provider, a developer platform, or a database-as-a-service company - and who brings AI-native instincts to the work: using AI tools to accelerate debugging, automate toil, and make better architectural decisions faster. At Pantheon, AI isn't a feature we're adding - it's how we work. You'll partner across Engineering, Product, and Security to

Sr. Business Intelligence Engineer, B2C, Amazon Leo Bellevue, Washington, USA Amazon Leo is Amazon's low Earth orbit satellite network. Our mission is to deliver fast, reliable internet connectivity to customers beyond the reach of existing networks. From individual households to schools, hospitals, businesses, and government agencies, Amazon Leo will serve people and organizations operating in locations without reliable connectivity. We are seeking a strategic and technical Business Intelligence Engineer to build the analytics and data foundations that power Amazon Leo's global marketing engine. This role is critical in defining how a new Amazon business measures customer behavior, marketing effectiveness, funnel performance, and growth. You will design and build datasets, dashboards, pipelines, and measurement frameworks that enable Marketing, Product, and Leadership teams to make fast, data-driven decisions at scale. This is a high-impact role requiring both strategic vision and hands-on technical execution. You will own and evolve the backend data architecture within our Customer Dat (Treasure Data), building upon existing foundations as new data sources and use cases emerge. You will design and maintain datasets and pipelines across our B2C tech stack, partnering with Data Engineering and Product teams to ensure complete, accurate, and actionable data across the full customer journey. This role requires collaborative autonomy-you will make independent strategic and technical decisions and drive your work forward with minimal oversight, while actively coordinating with cross-functional partners to ensure alignment and shared success. Key job responsibilities * Architect, build, and maintain foundational business datasets across our tech stack and other internal