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724 active opportunities · Updated for October 2026

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Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What Is The Role : The Platform Engineering Productivity team operates the CI, CD, and Release infrastructure for the company. We ensure developers can efficiently and safely deploy changes across our various environments and at scale. In an age of AI, the landscape is evolving rapidly from scaling needs to, more than ever, securing our supply chain. There are interesting challenges to tackle. We're looking for a proactive systems thinker who delivers on business-driven projects while identifying and driving the work that keeps our infrastructure ahead before scaling and security challenges become problems. If you're energized by work that makes every engineering team at Elastic ship faster and more securely, we'd love to hear from you. What You Will Be Doing : Define the roadmap and technical vision for CI/CD, from problem identification through org-wide adoption. Identify where CI/CD is a bottleneck, a source of friction, or a security risk before it becomes an incident, and drive the remediation rather than waiting to be assigned it. Design and enforce release gates covering supply chain integrity, artifact provenance, and release readiness, built to scale across teams without becoming a tax on engineering velocity. Direct engineers on your team through complex, multi-quarter projects: break down the architecture, assign the work, and o

kubernetesaisupply chain
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12 days ago

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What Is The Role : The Platform Engineering Productivity team operates the CI, CD, and Release infrastructure for the company. We ensure developers can efficiently and safely deploy changes across our various environments and at scale. In an age of AI, the landscape is evolving rapidly from scaling needs to, more than ever, securing our supply chain. There are interesting challenges to tackle. We're looking for a proactive systems thinker who delivers on business-driven projects while identifying and driving the work that keeps our infrastructure ahead before scaling and security challenges become problems. If you're energized by work that makes every engineering team at Elastic ship faster and more securely, we'd love to hear from you. What You Will Be Doing : Define the roadmap and technical vision for CI/CD, from problem identification through org-wide adoption. Identify where CI/CD is a bottleneck, a source of friction, or a security risk before it becomes an incident, and drive the remediation rather than waiting to be assigned it. Design and enforce release gates covering supply chain integrity, artifact provenance, and release readiness, built to scale across teams without becoming a tax on engineering velocity. Direct engineers on your team through complex, multi-quarter projects: break down the architecture, assign the work, and o

kubernetesaisupply chain
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Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What Is The Role : The Platform Engineering Productivity team operates the CI, CD, and Release infrastructure for the company. We ensure developers can efficiently and safely deploy changes across our various environments and at scale. In an age of AI, the landscape is evolving rapidly from scaling needs to, more than ever, securing our supply chain. There are interesting challenges to tackle. We're looking for a proactive systems thinker who delivers on business-driven projects while identifying and driving the work that keeps our infrastructure ahead before scaling and security challenges become problems. If you're energized by work that makes every engineering team at Elastic ship faster and more securely, we'd love to hear from you. What You Will Be Doing : Define the roadmap and technical vision for CI/CD, from problem identification through org-wide adoption. Identify where CI/CD is a bottleneck, a source of friction, or a security risk before it becomes an incident, and drive the remediation rather than waiting to be assigned it. Design and enforce release gates covering supply chain integrity, artifact provenance, and release readiness, built to scale across teams without becoming a tax on engineering velocity. Direct engineers on your team through complex, multi-quarter projects: break down the architecture, assign the work, and o

kubernetesaisupply chain
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Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What Is The Role : The Platform Engineering Productivity team operates the CI, CD, and Release infrastructure for the company. We ensure developers can efficiently and safely deploy changes across our various environments and at scale. In an age of AI, the landscape is evolving rapidly from scaling needs to, more than ever, securing our supply chain. There are interesting challenges to tackle. We're looking for a proactive systems thinker who delivers on business-driven projects while identifying and driving the work that keeps our infrastructure ahead before scaling and security challenges become problems. If you're energized by work that makes every engineering team at Elastic ship faster and more securely, we'd love to hear from you. What You Will Be Doing : Define the roadmap and technical vision for CI/CD, from problem identification through org-wide adoption. Identify where CI/CD is a bottleneck, a source of friction, or a security risk before it becomes an incident, and drive the remediation rather than waiting to be assigned it. Design and enforce release gates covering supply chain integrity, artifact provenance, and release readiness, built to scale across teams without becoming a tax on engineering velocity. Direct engineers on your team through complex, multi-quarter projects: break down the architecture, assign the work, and o

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Multiverse
📍 London• Contract• Remote
12 days ago

Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today’s workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they’ve learned to improve productivity and measurable performance. In April 2026, we announced $70 million in strategic funding, led by Schroders Capital, with participation from StepStone Group, Lightspeed Venture Partners and General Catalyst. At an increased valuation of $2.1bn, the round makes us Europe’s first EdTech double unicorn. But we aren’t stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We’re building a world where tech skills unlock people’s potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era. 6 month FTC Multiverse is at an exciting juncture, one that requires transformation of both scale (10,000 to 100,000 apprentice learners) and technology (recognising potential of our expanded product, platform and AI offerings). Success in the short to mid-term will be defined by how well we execute against our strategy, how capable we are to continuously improve core operating metrics and process and how supported our 300+ coaches are to have a daily, positive impact to our apprentices and learners. As a Post-Gateway Success Coach , your primary focus will be on providing essential support and guidance to our apprentices as they prepare for their End Point Assessment (EPA) and resits. You will play a pivotal role in supporting our learners as they transition from on-programme learning to the successful completion of their EPA. You will be responsible for ensuring that learners are well-prepared, motivated, and engaged throughout this critical phase of their apprenticeship.

REMOTEai
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V
12 days ago

Location: San Francisco, CA (Hybrid) What is Verse? The race to AI has become the race to power. Every breakthrough in artificial intelligence depends on one thing: access to electricity. But across the country, aging grid infrastructure and years-long interconnection queues are slowing the deployment of the data centers that will power the next generation of innovation. Solving this challenge isn't just about energy, it's about unlocking the future of AI. At Verse, we're building the energy intelligence platform for the AI economy. Our software helps the world's largest energy consumers achieve faster, cheaper, and cleaner power by combining real-time control of energy assets with complete visibility into their energy portfolio. Backed by Bessemer Venture Partners, GV, Coatue, and NVIDIA, and built by pioneers in grid-scale batteries, energy markets, and enterprise software, we're redefining how the world's most ambitious organizations access and manage energy. The Role Verse builds energy intelligence software for AI data centers and other large energy consumers. Our Dispatch Intelligence platform monitors and controls on-site batteries and other distributed energy resources in real time, so data centers keep compute online while the grid sees a flexible load. The same batteries earn revenue in energy markets such as ERCOT, CAISO and PJM. We are hiring a Product Manager to own the real-time telemetry, control and model predictive optimization layer of Dispatch Intelligence. You will build high-performance software that controls distributed energy resources, running on edge gateways or hardware-level virtualization platforms at customer sites. Working side by side with engineers, you will own the product requirements shaping how our platform connects to and controls equipment at each site. You will also own how optimized schedules are executed at the site and what happens when any of those steps fails. Key Responsibilities Drive OEM integrations across BESS m

artificial intelligenceaiExcel
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Dun & Bradstreet India
📍 Hyderabad• Full-time• Hybrid
12 days ago

Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Since 1841, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers. Key Responsibilities: Partner with development and product teams to ensure product quality in a fast-paced Agile environment Create and maintain test strategies, test plans, test cases, test data and traceability for new features and defect fixes Write and maintain automated tests for data-validation workflows Integrate and maintain automated test suites within CI/CD pipelines to support continuous testing, quality gates and release validation throughout the software delivery lifecycle Perform manual functional, regression, integration, and exploratory testing when automation is not suitable Validate multi-tiered, data-driven applications processing large volumes of records Define and track quality metrics including defect counts, severity, test execution, coverage and release status Identify, document, report, track and verify issues through to resolution Perform root-cause analysis and collaborate on preventive quality improvements Support product deployments, release validation and QA sign-off Partner with support teams to reprod

pythonjavasql
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Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Responsibilities Strategize and lead productivity, yield, quality, and cost improvement engagements with global sites and the network team via plasma process optimization, new/FOAK chemistry & hardware qualification , and CIP development collaboration with dry etch suppliers. Collaborate with cross-functional teams to drive breakthroughs in defect reduction, particle/residue control, CD uniformity, profile control, and chamber-matching across the global fleet. Develop the process and hardware CIP roadmap for Dry Etch — covering chamber parts, RF/match networks, gas delivery, ESC, endpoint, and plasma source upgrades. Drive process & hardware improvement with emphasis on safety, defect reduction, cost efficiency, throughput, quality, and sustainability across Dry Etch modules ( Conductor Etch, Dielectric Etch, Poly/Gate Etch, Metal Etch, High-Aspect-Ratio (HARC) Etch, Spacer/ALE, etc.). Partner with suppliers to establish equipment start-up acceptance criteria, chamber qualification flows, and tool service requirements ; work with global facilities to address new tool installation requirements (abatement, exhaust, RF compliance, gas/chemical infrastructure). Improve tool efficiency, WPD, and utilization across all Micron Dry Etch fleets through benchmarking, MAXOUT-style productivity programs, and pathfinding solutions . Set up IoT/FDC sensors and advanced chamber telemetry for defen

artificial intelligenceairecruitment
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Everpure
📍 Santa Clara• $170K – $255K/yr
13 days ago

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE As a Technical Program Manager within our Manufacturing Test Engineering Development team, you will provide single-threaded test program ownership of L6 and L10 testing for NPI, sustaining production, qualifications, and test strategy. While the Operations PM owns the factory and schedule, you own test engineering readiness against that schedule, ensuring test engineering is never the surprise at a gate review. You will differentiate this role by translating build milestones into test deliverables at each assembly level, and feeding real constraints back into planning to empower engineers to focus on technical execution. WHAT YOU'LL DO Maintain an integrated view of every commitment across L6 and L10 NPI, production, qualifications, and test strategy, driving cross-functional dependencies, owners, and timelines in one place. Own gate and checkpoint readiness at every L6 and L10 milestone by tracking test coverage, ICT fixture availability, parts lead times, and test software releases to ensure seamless deployments. Facilitate strategic communication, conflict resolution, and architectural decisions, identifying risks early and arriving at gate reviews with a recommended mitigation path. Absorb status reporting, granular logistics, and dashboard maintenance for team workloads, enabling engineers to remain focused exclusively on technical deliverables. Solve for root causes and refine organizational workflows

aisupply chainlogistics
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13 days ago

About Us SharkNinja is a global product design and technology company, with a diversified portfolio of 5-star rated lifestyle solutions that positively impact people’s lives in homes around the world. Powered by two trusted, global brands, Shark and Ninja , the company has a proven track record of bringing disruptive innovation to market and developing one consumer product after another has allowed SharkNinja to enter multiple product categories, driving significant growth and market share gains. Headquartered in Needham, Massachusetts with more than 4,100 associates, the company’s products are sold at key retailers, online and offline, and through distributors around the world. AI at SharkNinja At SharkNinja, we’re building an AI-native culture. We’re not waiting for the future; we’re creating it. Our people are expected to experiment boldly, adopt new tools, and continuously raise what’s possible to create meaningful impact for our consumers. If you believe the best way to do your job hasn’t been invented yet, you’ll fit right in. The Director of Embedded Firmware is a senior US-based firmware leader, accountable for both the technical direction and architecture that governs firmware across SharkNinja's global portfolio, and the delivery of firmware for SharkNinja products. On the architecture side, this leader defines the interfaces, hardware abstraction standards, and engineering practices that every firmware program is built and gated against — internal and partner-executed alike — ensuring all firmware is held to a consistent technical standard and delivered with integrity. On the delivery side, this leader is responsible for overseeing the US firmware development organization including managing both internally and externally generated embedded firmware across the complete SharkNinja product portfolio. This role is a peer to the Connected Firmware director, who owns connected embedded architectur

SI
13 days ago

SIXGEN’s mission is to deliver agile, mission-ready cybersecurity solutions that empower government and critical infrastructure organizations to stay ahead of advanced cyber threats. We combine innovation, deep expertise, and cutting-edge capabilities to uncover vulnerabilities, protect vital systems, and ensure operational superiority in an ever-evolving digital landscape. POSITION OVERVIEW Position: AI/ML Engineer Job Type: Full Time Location: Columbia, MD Clearance Requirement: TS/SCI, CI Poly Salary : Senior $215, SME $240K WHAT YOU’LL DO SIXGEN is actively seeking candidates to be part of a team that supports the United States Cyber Command (USCC). Our team is standing up USCYBERCOM’s AI Enterprise capability — the central hub that mission teams turn to when they want to move an AI solution from prototype to a secure, governed, enterprise-scale service. As a AI/ML Engineer on this team, you will design and integrate the models, agents, and AI workflows that run on that platform, with significant, visible impact on the mission of the USCC. What You'll Be Doing: Provide embedded operations support, capability integration, and rapid prototyping for AI/ML-enabled tools in support of our customer. Design and integrate LLM/agent orchestration workflows using agentic frameworks such as LangGraph, Agno, and the NVIDIA NeMo Agent Toolkit. Tune model gateway routing logic to select, evaluate, and optimize across multiple frontier and open-weight models for cost, performance, and mission fit. Develop and integrate RAG pipelines, vector databases, and memory services to give agents access to mission knowledge and context. Implement MCP (Model Context Protocol)-based tool-broker integrations so agents can safely and securely access enterprise tools and data. Evaluate, benchmark, and tune models and agent behaviors; build automated evaluation pipelines to track quality, safety, and performance over time. Partner with data scientists and mission analysts to

pythonai
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Mach Industries
📍 Huntington Beach• $140K – $180K/yr
14 days ago

About Mach Industries Founded in 2023, Mach Industries is a rapidly growing defense technology company focused on developing next-generation autonomous defense platforms. At the core of our mission is the commitment to delivering scalable, decentralized defense systems that enhance the strategic capabilities of the United States and its allies. With a workforce of approximately 350 employees, we operate with startup agility and ambition. Our vision is to redefine the future of warfare through cutting-edge manufacturing, innovation at speed, and unwavering focus on national security. We are dedicated to solving the next generation of warfare with lethal systems that deter kinetic conflict and protect global security. The Role As Senior Manufacturing Engineer, Composites, you'll be Mach's go-to expert on designing composite structures for high-rate production. You'll review designs at the part, assembly and system level from concept through production release. You'll also push the field forward through research and development (R&D) on new materials, hardware and processes. You'll design experiments, build test articles, partner with suppliers and move what works into production. Examples include snap-cure resins, net-shape automated preforming, and closed-loop process control that cut cycle time and scrap. Key Responsibilities Own the Composites DFMA guide Write, publish and maintain Mach's Composites DFMA guide for high-rate production: design rules for each high-rate process, with reasoning and data behind them preferred materials, processes and tooling approaches by part type and volume standard features and the tolerances each process can hold worked examples and review checklists Write design rules for LCM (RTM, HP-RTM, C-RTM, wet compression molding): preform design: drapability, fiber shear limits, binder, and fiber volume control gate, vent and flow-path design, checked with draping and mold-filling simulation wall thickness and transitions, radii,

Excelsupply chain
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Abbott
📍 United States• $61.3K – $122.7K/yr
14 days ago

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 122,000 colleagues serve people in more than 160 countries. JOB DESCRIPTION: Position Overview The AI Platform Engineer builds and operates the machine learning and generative AI platform used by teams across Abbott Cancer Diagnostics. You'll own the full model lifecycle in production — data and feature pipelines, training and experimentation, evaluation and promotion, serving, and monitoring — along with the platform services, compute and tooling underneath it. This is hands-on infrastructure work backed by solid platform engineering practice: making inference fast and cheap, making the path from experiment to production repeatable and auditable, and shipping interfaces other engineers can build on — in support of software that ultimately reaches patients. Essential Duties Include, but are not limited to, the following: Build and maintain data, feature, and training pipelines for ML and LLM workloads — ingestion, transformation, fine-tuning, distributed training, and reproducible experiment execution with lineage tracked from dataset and code to resulting model. Implement automated evaluation and promotion gates — performance benchmarks, regression checks, and validation criteria that determine whether a model advances toward production. Automate the model lifecycle end to end through CI/CD and GitOps: packaging, promotion across environments, progressive rollout, and rollback. Build and operate production model-serving infrastructure for LLMs and predictive models, including inference optimization, autoscaling,

pythonjavaaws
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Zoox
📍 Hayward• Full-time• $212K – $255K/yr
14 days ago

We are seeking a Staff Logistics Engineer to lead the development of the logistics function for a major vehicle program – inbound planning, internal material flow and warehousing, outbound transportation, and logistics engineering – from initial facility build-out through start of production. You will also serve as the senior logistics leader and primary liaison to a key international manufacturing partner supporting body shop and metallic component manufacturing, as well as material flow across vehicle assembly plants. This role reports to the Manager, Logistics Engineering. The ideal candidate has taken a logistics organization from a greenfield or brownfield site through start of production, has led new-product or new-program launches in a complex automotive manufacturing environment, and has managed an executive-level manufacturing partner relationship. You are comfortable being the single point of accountability for logistics on a major program and can travel as required. In this role, you will: Lead the end-to-end design, layout, and operational launch of new Logistics programs, including inbound planning, internal material flow and warehousing, outbound transportation, and logistics engineering (packaging, systems, and industrial engineering). Serve as the senior logistics lead and primary liaison to a key international manufacturing partner, representing Logistics in onsite workshops, program steering meetings, and executive alignment sessions. Lead Logistics readiness across the full site lifecycle – from greenfield/brownfield facility build-out and build-location decisions through new-product launch and start of production (SOP). Develop a comprehensive logistics launch plan to drive cross-functional logistics readiness for program gate reviews, surfacing schedule, capacity, and material-flow risks early and driving them to closure. Manage a r

SAPPMPsupply chain
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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 As a Senior Data Center Capacity Delivery Manager at Anthropic, you'll embed with project teams responsible for delivery of leased and partnered data center capacity. Your primary role will be to lead these partners to deliver on the fastest possible schedule while maintaining a safe construction site and protecting the finished quality of the data center. Additionally, you'll validate deal readiness, coordinate complex stakeholder relationships, maintain regular reporting and status tracking, and ensure seamless transitions from project inception through operational readiness. This role offers a unique opportunity to shape how Anthropic secures and activates the compute infrastructure needed to train and deploy frontier AI systems, working at the intersection of real estate, construction, and cutting-edge AI infrastructure. Responsibilities Lead. This is a role where leadership trumps management and process. You will be at one or more project sites 60% of the time or more and expected to shape the culture, approach, and aggressiveness that define those extended site teams. The goal is to impact outcomes in a favorable manner. You are expected to be a force multiplier that develops and enhances the skillset that development partners, general contractors, and key trades bring to the project(s) you are overseeing. That means being a subject matter expert in the various cross functional elements of data center delivery and increasing the team's performance with that knowledge and commitment to alignment. Confirm deal readiness and serve as the gatekeeper to validate transaction viability from Letter of Intent (LOI) t

aisupply chainlogistics
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