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About AiDASH AiDASH is leading the PreventionFirst™movement for electric utilities and transforming grid resilience through its pioneering platform that unifies vegetation, asset, storm, and wildfire intelligence. Powered by SatelliteFirst™ Inspection & Monitoring, AiDASH delivers comprehensive visibility across the entire grid at the right frequency and budget, using the right data modality. More than 200 customers trust AiDASH to keep the lights on, spend where it counts, and defend every decision, Securing Tomorrow across every mile of the grid. Learn more at www.aidash.com. The PreventionFirst movement is growing, and so is the recognition behind it. In 2026, Forbes named AiDASH one of America's Best Startup Employers for the 4th consecutive year, and TIME included AiDASH among America's Top GreenTech Companies for the 3rd year in a row. Deloitte Technology Fast 500 ™ ranked AiDASH No. 12 in the San Francisco Bay Area, and No. 59 overall in their selection of the top 500 for 2024. Join us in Securing Tomorrow Together! The Role Our satellite and AI-powered products are changing how utilities see and protect the grid, and we're gearing up for aggressive customer growth over the next two years. We're hiring two Backend Software Engineering Intern s in Palo Alto to help build the backend systems behind that growth. This is a real engineering internship, not a sandbox project. You'll own scoped backend work that ships to production, with day-to-day mentorship from a senior engineer who will review your code, pair with you on design, and help you grow fast. Strong performers will be considered for a full-time return offer. Our pending acquisition by Schneider Electric will accelerate our mission as we bring our combined offering to our joint customer base, and the work you do will reach customers at an even greater scale. Location: This is a hybrid internship based in Palo Alto, CA, requiring [

pythonjavasql
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Cohere
📍 European Union• Full-time• Remote• C$250K – C$535K/yr
2mo ago

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Role Overview: At Cohere, we're pushing the boundaries of what these technologies can achieve for production environments, and we're seeking a senior engineer who understands the practical challenges of making AI systems work at scale. This role demands deep technical expertise in production environments and the ability to bridge research concepts with real-world implementations. This position is hands-on and engineering-driven. You'll focus on production systems, experiment with frontier models, and collaborate with talented engineers to build scalable, production ready solutions. We strive for excellence in both engineering and science by meticulously designing experiments and design docs. We blend engineering and research seamlessly. Everyone contributes to both, depending on organizational needs. We provide access to world class compute resources, data, and talent to ensure you can do your best work. This role is perfect for you if you: Have a deep passion for quality work. Enjoy tuning and optimising large LLM models. Comfortable working with people with different levels of software engineering skills, from beginner to more

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P-1584 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — 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. Lakebase enables teams to deliver applications faster with an optimised database developer experience, integration with the lakehouse, and simplified operations. It provides a managed Postgres transactional layer for application state and workloads that combine operational data, analytics, and AI. You'll join as one of the founding leaders building out both the Lakebase product and our London presence. This is a Tech Lead Manager role: a hands-on technical leader who guides a small team of around five engineers while staying deep in the engineering work. You'll spend the majority of your time hands-on — driving architecture and design, solving the hardest problems in your team's projects, aligning with partner teams on dependencies, and writing code — and the rest leading and growing the engineers around you, who will report directly to you. It's role for a strong senior engineer who wants to lead a team and take on people management without stepping away from the technical work. The team you will lead (one of): Lakebase Platform Reliability (LPR) — Constantly evolve Lakebase reliability: cross-functional infrastructure, observability, SLI/SLO definition and measurement, and higher operational efficiency without humans-in-the-loop, for both internal and customer-facing systems, by building AI-powered automation and serv

postgresqlaiExcel
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Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Frontend Central Product Integration Engineering team strives to deliver leading edge process capability, best-in-class bits per wafer (Yield) with highest quality and fastest speed through innovation and collaboration with cross functional team. With the diversity of technology in DRAM/NAND and geography (TD development sites – Boise/Japan, 5 manufacturing sites – US (F6, ID1), Taiwan (OMT), Japan (F15) and Singapore (F10)), Frontend Central PIE team will be responsible to identify best-known-method holistically, align best-known-method timely and implement improvement systematically across the network. As FE Central Process Integration Senior Engineer, you will be responsible to develop best optimum process to achieve product maturity. Responsibilities and Tasks: Drive best-in-class product maturity which includes bits per wafers (yield), product grades (Repair Density and DPM) at the fastest speed and cycle of learning. In depth knowledge of processes across different loops or functions (FEOL, MOL, CELL, BEOL) to identify best optimum process integration solution to achieve the goal, knowledge on product and circuit design will be plus. Collaborate with YE, Device, RDA, Metrology team to resolve top yield issues, develop inline visibility to e

artificial intelligenceairecruitment
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Capco, a Wipro company, is a global technology and management consultancy specialising in driving digital transformation in the financial services industry. With a growing client portfolio comprising of over 100 global organisations, Capco operates at the intersection of business and technology by combining innovative thinking with unrivalled industry knowledge to deliver end-to-end data-driven solutions and fast-track digital initiatives for banking and payments, capital markets, wealth and asset management, insurance, and the energy sector. Capco’s cutting-edge ingenuity is brought to life through its Innovation Labs and award-winning Be Yourself At Work culture and diverse talent. Role Summary A solution architect is responsible for designing detailed technical solutions with a strong focus on integration with Thailand’s local systems, data, and services. The role ensures that all solutions are aligned with local business requirements and comply with regulatory standards, while delivering scalable, secure, and efficient architectures. What You’ll Do Develop comprehensive solution designs for new features and integrations. Specialize in local system integration (e.g., PromptPay, National ID, local reporting interfaces). Apply deep knowledge of Thai financial technology infrastructure and data standards. Collaborate with development teams to ensure successful implementation and compliance by design. What We’re Looking For 7+ years as a Solution Architect or senior engineer, with in-depth, proven experience in system integration within the Thai financial services sector. Strong technical skills in API design, cloud-native principles, and data integration patterns. Proficient in Thai and English at intermediate level or above, sufficient for technical discussions, meetings, and written documentation Why Join CAPCO Work on engaging projects with some of the largest banks/insurance in the world, on projects that will transform the financial services industry Work

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Leidos
📍 Hampton• $59.2K – $106.9K/yr
Just now

The Defense Sector at Leidos is seeking a motivated TS/SCI cleared Network Administrator to support the installation, configuration, and day-to-day management of enterprise network infrastructure. This role is an excellent opportunity for an early-career network professional to gain hands-on experience with routing and switching platforms, including Session Smart Router (SSR) / 128 Technology SD-WAN solutions, in a structured and security-conscious environment. The ideal candidate demonstrates a solid foundation in networking fundamentals, a willingness to learn vendor-specific technologies, and the discipline to operate within DoD network standards. The job duties will be performed daily on site at Langley Air Force Base, VA. ​ Roles and Responsibilities: ​Assist in the configuration, deployment, and ongoing management of routers, switches, and Session Smart Router (SSR) appliances across enterprise and edge network environments. ​Support the design and implementation of routing policies, service policies, and traffic steering configurations on SSR/128 Technology platforms under senior engineer guidance. ​Perform LAN switching administration — including VLAN configuration, spanning tree, trunking, and port security — on Juniper EX Series and/or Cisco Catalyst platforms. ​Assist with the configuration and troubleshooting of routing protocols including OSPF and BGP (eBGP and iBGP) across enterprise WAN and data center environments. ​Monitor network health, availability, latency, and throughput using network management tools; escalate anomalies and assist in root cause analysis. ​Support configuration and maintenance of firewall rules, access control lists (ACLs), IPsec VPN tunnels, and other network security controls. ​Execute software and firmware upgrades, patch management, and lifecycle maintenance activiti

pythonansible
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SALT XC
📍 Toronto• $135K – $165K/yr
18 days ago

ROLE: SENIOR SOFTWARE ENGINEER TEAM: PRODUCT LOCATION: TORONTO (HYBRID) COMPANY OVERVIEW Salt is a North American marketing agency that creates connected experiences through creative, digital & media innovation. Our mission is to “Earn The World’s Attention” and Salt is built to find, develop, execute, and amplify the ideas that are worthy of our clients’ audiences. We’ve structured our agency to do what’s right for our clients – to connect different perspectives, to work across mediums, and to focus on delivering meaningful, effective results. We’re committed to living up to the values in our name. “Salt of The Earth” means we value collaborative, humble, hard-working people here. We’re looking for people who are as smart as they are kind because we believe the right talent and the right culture help us do what’s right for our clients. ROLE OVERVIEW Join us as a Senior Software Engineer building the next generation of AI products. This is a hands-on senior software development role: you'll spend roughly 80% of your time designing, building, and shipping full-stack product features and backend services, working with the latest AI, cloud, and developer technologies to deliver solutions used across the organization. The remaining ~20% is platform work — keeping the cloud environments, data pipelines, and deployment tooling behind our AI products reliable and secure. Working closely with product and engineering, you will own features end to end — from technical design through release and iteration — while contributing to the CI/CD, infrastructure, and security practices that keep our AI platforms running well. CORE RESPONSIBILITIES Software Engineering Build full-stack applications: Design, develop, and maintain Python & Node.js backend services and modern React frontends, delivering reliable APIs and intuitive user experiences. Own delivery end to end: Translate business requirements into tec

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About Cleo Cleo is the AI-native supply chain orchestration company built on modern EDI. We help businesses orchestrate EDI, API, MFT, applications, and trading partner ecosystems with the visibility, intelligence, and control needed to keep business-critical supply chain transactions moving — from order to cash, procure to pay, and everywhere in between. Our platform, Cleo Integration Cloud, brings together integration, workflow automation, real-time monitoring, and Agentic AI intelligence so supply chain, operations, and IT teams can launch partners faster, automate transactions across business systems, resolve exceptions before they become disruptions, and gain actionable insight across the end-to-end supply chain. Trusted by 5,000+ customers across manufacturing, retail, logistics, and distribution, Cleo is headquartered in Rockford, Illinois, with offices in Chicago and Bangalore. We are a team united by one mission: to make supply chains smarter. Cleo Never Stops. The Opportunity As a Senior Implementation Engineer II at Cleo, you are the technical backbone of your TEAM: configuring complex integrations, leading customer status meetings, guiding junior engineers through challenges, and bridging the gap between solution design and hands-on implementation. This is where deep technical execution meets leadership accountability — and where your path to Principal Engineer begins. What You'll Do ▸ Technical Delivery ▸ Lead technical delivery for assigned projects from implementation through Hypercare. ▸ Configure and troubleshoot complex EDI, API, ERP, and B2B integrations. ▸ Build advanced Business Process Sequences (BPS), data mappings, and API workflows. ▸ Implement performance, security, and integration best practices. ▸ Customer & Project Leadership ▸ Act as the primary technical contact throughout project delivery. ▸ Lead customer meetings, workshops, UAT, and technical discussions. ▸ Partner with Project Managers and Solution Architects on planning, scopi

aiSAPsupply chain
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21 days ago

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Data Center Security Engineering (DCSE) owns physical security across Anthropic's data center footprint: the sites, the hardware inside them, and the supply chain that delivers it. The Security Fusion Platform is where physical security signals from across that footprint are correlated and put in front of the analysts who act on them. It carries continuous monitoring, audit evidence, metrics, and analyst response, along with the classification and analytics pipelines that turn sensor data into events. You'll build and own the platform analysts work from. This is a foundational role. You'll build the software platform that carries a signal from source to analyst decision, ship its first versions, and keep them running in production. The sensors and systems at each site belong to other DCSE engineers; you define the event contract their owners deliver to, and you build the classification and analytics pipelines that run over what those sources produce. Physical security systems engineers own the operations spaces; you own the software that runs in them. You'll work alongside engineers focused on the sites themselves. What you lead, you own end to end: the design, the technical approach, and the result in production. You'll work with external vendors and integrators, setting requirements and acceptance criteria for what you own and deciding what the team builds itself. We use Claude throughout our engineering workflow and expect you to as well. This role involves regular travel to data center sites. No security clearance is required. These are critical services, and you'll take part in on-call for them. Key responsibilitie

pythonaisupply chain
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MID/SENIOR DATA ENGINEER – CAPCO POLAND We offer a flexible collaboration model based on a B2B contract, with the opportunity to work on innovative AI and automation initiatives for leading financial institutions. At Capco Poland , we’re not just another consultancy – we’re the spark behind digital transformation in the financial world. As a global leader in technology and management consulting, we help our clients tackle complex challenges across banking, payments, capital markets, wealth, and asset management. Our secret? A culture that’s fast, flexible, and fiercely entrepreneurial. We move quickly, think creatively, and always put our people first. We’re passionate about growth – both for our clients and ourselves – and that means attracting talented professionals who want to develop their skills, take ownership, and make a real impact. We’re proud to be: Trailblazers in banking, payments, capital markets, wealth, and asset management Champions of an agile, nimble, and innovative work environment Dedicated to building a team of talented professionals who share our drive and vision THE ROLE We are looking for a strong Mid/Senior Data Engineer to join our growing data engineering team and contribute to building scalable, reliable data solutions for our financial services clients. You will work with modern data technologies and cloud platforms, developing and maintaining data pipelines, processing large datasets, and supporting the delivery of enterprise-scale data solutions. This is a great opportunity for a Data Engineer who already has hands-on commercial experience and wants to further develop their expertise in Python, Apache Spark, Hadoop, Linux, and Google Cloud Platform (GCP) while working on complex international projects. WHAT YOU’LL DO Design, develop, and maintain scalable data pipelines and data processing solutions. Develop data transformation and processing workflows using Python and Apache Spark . Work with large-scale datasets in distributed enviro

pythonsqlgcp
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26 days ago

Job Title AI Senior Systems Engineer (AI for RAMS & Systems Engineering) Job Description As an AI Senior Systems Engineer, you will help shape the future of Systems Engineering at Philips by driving the application of Artificial Intelligence within Systems Engineering and Reliability, Availability, Maintainability and Safety Engineering (RAMS) practices. You will identify opportunities where AI can enhance engineering activities, improve engineering productivity, and increase the quality, consistency, and traceability of engineering deliverables throughout the product development lifecycle. Acting as a thought leader and trusted advisor, you will help engineering teams understand, adopt, and effectively apply AI technologies within their daily engineering work. Working closely with systems engineers, RAMS engineers, architects, software teams, and AI specialists, you will bridge the gap between engineering challenges and emerging AI capabilities. You will contribute to the evolution of engineering methodologies, tools, and best practices that enable the next generation of AI-enabled Systems Engineering and RAMS Engineering at Philips. Your role: Drive the adoption of AI within Systems Engineering and RAMS practices across Philips. Identify, develop, and scale AI use cases for requirements engineering, system architecture, modelling, verification, validation, traceability, and engineering knowledge management. Identify, develop, and scale AI use cases for RAMS engineering like FMEA, data analysis, HALT/ALT, Modelling Simulation & Analysis, for Hardware and Software Support engineering teams in evaluating and implementing AI-enabled engineering workflows, methods, and tools. Coach and educate Systems Engineers, RAMS Engineers, Architects, and technical leaders on the opportunities, limitatio

machine learningartificial intelligenceai
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Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Our vision is to transform how the world uses information to enrich life for all. Micron Technology is a world leader in memory and storage innovation, accelerating the transformation of information into intelligence. About the Role Join Micron’s STPG Product Engineering team where you will apply advanced analytics, machine learning, and agentic AI to solve complex NAND product engineering and manufacturing challenges. This role focuses on developing data‑driven and AI‑enabled solutions that improve yield, reliability, defectivity, and test time across the NAND product lifecycle—from New Product Introduction (NPI) to High‑Volume Manufacturing (HVM). You will work closely with Product Engineering, Fab, Technology Development, Test, Quality, and System teams to deploy scalable AI solutions into real production workflows. In addition, you will play a key role in enabling and mentoring Citizen Data Scientists (CDS) within Product Engineering, strengthening the organization’s capability to apply machine learning and advanced analytics for domain‑specific problem solving. Key Responsibilities: Machine Learning & Advanced Analytics Development Develop and deploy predictive and diagnost

pythonawsazure
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Snowflake
📍 Bellevue• Full-time• Remote• $200K – $287.5K/yr
1mo ago

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Senior Software Engineer — Cortex Training The Snowflake ML Platform team's mission is to let customers run their most demanding ML/AI workloads inside Snowflake. Cortex Training is our LLM post-training platform: it turns scarce, expensive GPU capacity into a simple, composable service, so customers can adapt open-weight foundation models to their own business problems while we handle the hard distributed-systems parts, including scheduling, orchestration, multi-node training and inference, fault tolerance, and throughput. The platform already runs post-training at scale. Under the hood, it decouples GPU computation from the training loop and exposes it as primitive APIs that compose into everything from SFT to full RL workflows. You'll work alongside a team that ships fast & sweats reliability and the researchers behind DeepSpeed. We're looking for an engineer who thrives in the ML infrastructure layer and brings a solid understanding of LLMs and post-training to help us scale and grow it. YOU WILL: Design and build across the full stack — from the public training APIs and SDK through the control plane to the GPU data plane. Scale the distributed systems that make GPU compute serverless — multi-tenant scheduling, placement, and capacity-aware routing across regional G

REMOTEkubernetesai
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Instacart
📍 Minnesota, United States• Remote• $230K – $242.5K/yr
1mo ago

We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. Overview Join Instacart's mission to transform grocery shopping through frontier AI. As a Senior Software Engineer on AI Labs & Foundations, you will design, build, and operate the high-scale production systems that power our most ambitious AI experiences—from Cart Assistant, our conversational shopping agent, to voice AI interactions and beyond. This is a high-impact opportunity to work at the intersection of robust software engineering and cutting-edge production AI/ML, directly shaping products used by millions of customers every day. We are hiring a Senior Software Engineer who will participate in the design and delivery of production AI systems, identify high-leverage technical opportunities, and contribute hands-on to AI-native products across Instacart's platform. We value bottom-up ideas, high engineering quality, and close partnership with Product, Dat

REMOTEtypescriptpythonaws
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GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Backend Engineer on the Plan: Spec-Driven Development team, you'll help build GitLab's intent-to-code loop: agentic workflows that turn a stated intent into a refined work item, an implementation plan, and verified, mergeable code. You'll own early-stage backend work across the flows, application programming interfaces, data models, and evaluation systems behind this experience, using Ruby on Rails, Python, PostgreSQL, GitLab Duo Agent Platform, large language model application programming interfaces, and an artificial intelligence gateway. You'll join a small, distributed team working on one of GitL

REMOTEpythonpostgresqlgraphql
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