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Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana The Engineering organization is responsible for building the product that brings this vision to life. We are creating a platform fundamentally driven by AI, which scales to a massive trove of data, and a diverse customer base; it is a complex system that will stretch engineering in many directions. The best teams here ship work customers come to rely on, and that takes a particular kind of engineering practice. It means starting inside the customer's workflow rather than at the ticket. It means treating every release as a hypothesis you can prove or disprove. It means reaching for AI as a primary building block, not a feature you bolt on at the end. And it means owning a product end‑to‑end, from the first conversation through the telemetry six months later. As an Engineering Manager at Altana, that's the work, and you'll build and lead the team doing it. You'll embed with product and design, turn hypotheses about where the real pain is into shipped, adopted products, and own the hiring, growth, and performance of the engineers on your team. Your success is measured the same way the team's is: by the value it delivers to customers, how quickly and steadily it ships, and how well its systems hold up as output grows. You Will Build the team and help each person grow. Own performance management end to end, and use each engineer's career goals to shape what they work on. Stay close to customers, and bring your team with you. Get on customer calls, review session recordings, and know the top friction points in your area at any moment. Make sure your engineers see customer problems firsthand too. Hold the bar on solving the right problem. Partner with product and design to define the problem before choosing a solution, and push back on work that isn't grounded i

Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana As we scale our logistics business, we are hiring a Senior Sales Engineer to be the technical lead on Altana’s work with logistics service providers and customs brokers. Following our acquisition of Cervo, our product surface now spans transaction screening, shared product catalog, duty calculation, post-entry audit, and agentic entry writing, and the deals that win are the ones where someone can map a broker’s actual entry-writing workflow today, show them what it looks like on Altana, and prove the integration path is real. You’ll own that work: demos, solution design, architecture conversations, and the technical narrative that carries a deal from first call to signed order form. You’ll partner closely with Sales, Product, Engineering, and Implementation, and act as the voice of the customer back to our product and engineering teams. This is a high-leverage hire on a fast-moving vertical. You Will Achieve mastery of the full Altana product surface area and run demos that hold up with brokerage operations staff, IT leadership, and executive buyers alike, whether it’s an impromptu whiteboard session or a prepared narrative demo Design solutions for complex customer environments, mapping current-state operational workflows to a credible future state on Altana, and documenting the gap between them in terms a customer recognizes as their own business Speak fluently to the technical architecture of the platform: data models, APIs, EDI and file-based integration patterns, and how Altana lands inside the systems logistics providers already run Serve as the bridge between the commercial and product organizations, translating field reality into product input and product direction into field-ready positioning Support the sales process with new and existing custom

About the Team DoorDash Labs is DoorDash's autonomous delivery group, building the robots and hardware that move goods without a driver. The Vehicle Electrical team designs the electronics at the core of these systems, including power and motor-control electronics, charging, and the test benches that prove the whole system works. About the Role As a summer intern, you will own a defined hardware project in one of three areas: an on-board charger prototype, an in-house motor control circuit, or a full-power hardware test bench with motor power and battery simulation. You will take it from requirements through design, build, and bench validation, and present your results to the team at the end of the summer. You will report into the Director, Electrical Engineering in our DoorDash Labs organization. You're excited about this opportunity because you will… Own an end-to-end project in one of three areas: an on-board charger prototype, an in-house motor control circuit, or a full-power hardware test bench. Design, build, and bring up hardware, from schematic and component selection through prototype assembly and debug. Characterize your design on the bench with lab equipment, measuring efficiency, thermal, and control performance against requirements. Collaborate with power electronics, firmware, and test engineers, and incorporate design review feedback into your work. Document your results and present your findings to the team at the end of your internship. We're excited about you because… You are pursuing a B.S. or M.S. Degree in Electrical Engineering or equivalent, have no more than 2 years of full-time work experience, and are graduating between Fall 2027 to Summer 2028. You are available for a May or June 2027 start date (Internships are only hosted during the Summer). You have coursework or project experience in power electronics, including switch-mode converters (buck, boost, PFC, isolated DC-DC), gate drive, magnetics, and power-stage design. You understand mot

About the job Build the hardware that turns new AI processors into working systems. As a Hardware Development Engineer, you will design circuit solutions for Graphcore processor systems and validation platforms. You will turn system requirements into schematics, layout constraints, and testable hardware. Your work will shape production systems and test boards used across development, validation, and customer enablement. You will help prove performance, margin, and reliability before designs move into volume production. Alongside silicon, architecture, software and PCB CAD specialists, you will make design decisions grounded in evidence. You will define validation plans, run lab campaigns, debug prototypes, and interpret results with firmware and architecture teams. This role suits someone who likes owning problems from first schematic to mass production readiness. Few roles connect board design, bring-up, validation, and production so directly. The team and culture Hardware Engineering builds production systems and test hardware around Graphcore processors. The team works close to silicon, architecture, firmware, software, and PCB CAD from the first requirement onwards. Engineers own designs through definition, schematic capture, layout support, bring-up, validation, and production transfer. Work moves quickly because problems are handled close to the lab, not passed between silos. The team makes decisions through evidence: measurements, design reviews, margin data, and open technical challenge. You will speak up, take responsibility, and help the team move with confidence. What we're looking for · Strong digital circuit design and validation skills, including DCDC regulators, power delivery, resets, clocks, and control interfaces. · Experience developing processor-based systems and working with interfaces such as Ethernet, PCIe, DDR, USB, QSPI and JTAG. · Practical lab depth in bring-up, debug, margin testing, and validation using oscilloscopes, logic analysers and

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. Job Summary: Every gigabyte Micron ship is trusted to hold someone's data for years, whether in a phone, a car, a data center or an AI cluster. The NAND Product Reliability Architecture (NRA) team defines how we prove that trust before a product is released. As a Staff Engineer in NAND Product Reliability Architecture team, you will own the reliability architecture for Micron's newest NAND products end-to-end: interpreting reliability requirements, architecting qualification and stress strategies, developing and integrating reliability algorithms and system features, and optimizing coverage, sampling and test time so that we qualify faster without compromising quality. This is a high-leverage, high-visibility role. Your architecture decisions directly influence qualification cycle time, product time to market and the reliability our customers experience in the field. In a market where being first to qualify is a competitive advantage, speed is a core expectation. You will work closely with Technology Development, System Architecture, Design Engineering, Product Engineering, Manufacturing and Quality, and you will be expected to influence across these teams. Main Responsibilities: Comprehend NAND reliability specifications

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. Tenstorrent is looking for a Formal Verification Engineer to help ensure the correctness of our next generation of high-performance RISC-V CPUs and AI compute platforms. You’ll use formal methods to prove complex hardware behavior, uncover corner cases that simulation may miss, and give architects and RTL designers confidence in the correctness of their designs. You’ll work closely with CPU architects, RTL designers, and other DV engineers to develop properties, build formal verification environments, analyze failures, and drive issues to closure. This is a hands-on opportunity to apply formal techniques to challenging problems in modern processor design. This role is remote, based out of North America or Spain. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are A verification engineer who enjoys solving complex problems and finding bugs that are difficult to expose through traditional simulation. Comfortable thinking about hardware behavior in terms of properties, invariants, assumptions, assertions, and proofs. A strong debugger who can analyze counterexamples, understand RTL behavior, and determine the root cause of failures. Collaborati

About Us Are you ready to build the future of the supply chain? At Gather AI, we're not just creating software; we're pioneering a new era of warehouse intelligence. We've developed a groundbreaking, vision-powered platform that uses autonomous drones and existing equipment to capture real-time data, completely digitizing workflows that have historically been manual and error-prone. This means facilities operate smarter, safer, and more efficiently, ultimately redefining "on-time, in full" delivery. If you're looking for an opportunity to contribute to truly transformative technology and make a significant impact in a vital industry, Gather AI is the place for you. We're leading the charge in the rapidly evolving robotics industry, and we invite you to join us in reshaping the global supply chain, one intelligent warehouse at a time. About the Team You'll join the Full Stack group within Cloud Services, which is being built now. Today, production and analytical workloads share a single database, and each product defines its own metrics. This team exists to fix that by designing and building the warehouse, transformation layers, and semantic model from the ground up. You'll work closely with Full Stack, ML, Product, Security, and Customer Success. About the Role Most data engineers early in their careers maintain one slice of a large, mature platform, or build pipelines against a model someone else designed years ago. This role is the opposite. As an SDE II, Data Engineer, you'll be one of the first engineers building Gather AI's data foundation from scratch. The work includes: Moving analytics off our production PostgreSQL database Writing the layered dbt models every product will share Defining metrics once so they stay consistent everywhere Linking structured records back to the drone images and video they came from You'll start by shipping well-scoped pipelines and models on our Drone product alongside senior engineers. From there, you'll grow toward owning a dat

About the team The Applied AI Engineering team helps enterprises put Codex to work on their most important engineering workflows. We work alongside customer engineers to turn frontier AI capabilities into systems that improve how software is built, shipped, secured, and operated. Our work spans unfamiliar codebases, legacy systems, data pipelines, infrastructure, and enterprise integrations. We discover where AI can make a meaningful difference, build and prove solutions, and turn what we learn into reusable architectures, tools, and feedback that help shape Codex. About the Role We’re looking for an engineer who enjoys understanding complex systems, building alongside customers, and solving problems where the path forward isn’t obvious. You’ll work directly with technical leaders and engineers to identify valuable opportunities and take them from discovery through implementation and evaluation. You might build a Codex-assisted release review workflow, modernize a legacy data pipeline, accelerate a dependency migration, or connect an agent to the systems and context it needs to investigate production incidents. You’ll combine hands-on software engineering, architecture, and technical leadership to make Codex part of how customers get important work done. Success means delivering the agreed solution, demonstrating measurable improvement, and helping the customer sustain and expand its use. Working with our product, engineering, research, and account teams, you’ll turn deployment experience into evidence that informs improvements to Codex. The position is based in Sydney, Australia , with three office days each week. Relocation assistance is available to new employees. In this role, you will: Lead customer engineering engagements from workflow discovery and architecture through implementation, evaluation, and handoff, with clear customer owners, delivery milestones, and measurable success criteria. Assess customer repositories, data systems, infrastructure, security c

Location: Hybrid - SF Employment: Full-time Develop and qualify Volantis’s testing procedures for custom lasers and scale for mass production. You will own development and implementation of testing and reliability procedures for our first- and second-generation custom laser designs, and their integration with the wafer-scale interposer. Responsibilities Partnering with the laser design team to define test plans, specifications and pass/fail criteria for new individually addressable VCSEL array designs. Characterizing prototype devices (LIV, spectral, far-field/beam profile, polarization, thermal and high-speed modulation) and delivering timely analysis that feeds back into design iterations. Managing test data, including databases, wafer maps, yield analysis and SPC, to track device performance and process variation in conjunction with the designers. Designing, building and maintaining wafer- and die-level prober systems, test fixtures and automated test software. Owning qualification and ramp-up of VCSEL array product testing systems, scaling from R&D characterization to high-volume production test. Working with the laser design, packaging and wafer-scale interposer teams to prove out reliability of the VCSEL itself and the overall system. Requirements Deep hands-on experience with semiconductor laser (preferably VCSEL) testing, characterization, validation, reliability and qualification. Experience designing prober systems, test fixtures and related software automation Proficiency with optical and electrical test equipment such as SMUs, optical spectrum analyzers, power meters, VNAs, and beam profilers Ability to work independently as well as in cross-functional teams including quality and packaging Nice to have Experience qualifying and using contract manufacturers for large volume production test of VCSELs Experience testing high-density VCSEL arrays, both top and bottom side emitting. High speed direct modulation laser diode test experience Understanding of

About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the role As a foundational FDE manager, you’ll lead FDE through high-stakes, ambiguous customer deployments and own technical and business value outcomes end to end. You’ll grow a team that can operate under pressure and help OpenAI learn from the field. You’ll partner closely with Product, Research, Sales, and GTM to ensure fieldwork informs roadmap priorities, drives new exploration, and supports safe deployment at scale. Your decisions will influence how OpenAI is trusted by the customers closest to our deployment work. Your success will be measured by how consistently your team ships, how clearly you deliver signal to Research and Product, and how durable your team and delivery model prove to be. This role is based in New York City We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. This role also will require travel up to 25%. In this role you will Lead and grow a team of FDE delivering production systems with frontier models Own end-to-end delivery outcomes through clarity, speed, tight coordination, and technical quality Codify what works into tools, playbooks, and roadmap inputs that create leverage for both OpenAI and our wider developer community Notice early indicators and raise them with urgency, whether in product behavior, customer environments, or delivery practices Use judgement to distinguish what requires action and what does not Set a high bar for FDE performance and support each person’s growth through direct, actionable feedback Define how we staff and support field teams that can scale without added complexity You might thrive in this role if you Bring 10+ years of engineering or technical delivery experience, including 2+ years managing high-performing FDE or cust

Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together. Senior Advisory Solutions Consultant - GAM Location: McLean, Virginia, USA | Work Model: Onsite at Appian Headquarters About the Team The Solutions Consulting organization at Appian sits at the vital center of our global commercial engine, bridging the gap between sophisticated enterprise business needs and cutting-edge platform capabilities to secure the technical win. Our mission is to prove the undeniable value of Appian’s platform within the AI-Powered Process Automation market, driving customer acquisition and fueling corporate growth. Under our SC 2.0 operating model, our consultants don't just demo features—they tell compelling stories, co-create solutions with customers, and help shape strategy with technical credibility and business insight. The Opportunity As a Government Acquisition Management (GAM) Specialist Solutions Consultant, you will actively drive and manage the technology evaluation stage of the sales process for the GAM Suite. Working in conjunction with the solution sales team as the key technical adviser and product advocate. Using technical creativity and business acumen, you illustrate the value that Appian’s GAM Suite can provide. You will engage and articulate product positioning to both business and technical users in competitive scenarios. You will also rapidly identify all technical issues of assigned opportunities to assure complete customer satisfaction through all stages of the sales process. What You'll Do Partner with Solution Sales Executives to achieve defined sales goals Demonstrate how G

CSQ427R405 Role overview We are looking for a Lead Learning Product Specialist to own the platform learning experience for Databricks customers, partners, and internal practitioners. You will sit at the intersection of product, UX, and learning science, building the systems that help data and AI teams build skills needed to become successful and confident users of the Databricks platform. You’ll define how users discover, practice, and demonstrate skills across in-product journeys, training, and AI-assisted guidance. You will work closely with engineering, design, curriculum, and go‑to‑market teams to translate pedagogical goals into scalable platform capabilities, from adaptive learning flows and assessments to analytics that prove real skill development. Key responsibilities Define and drive the product vision, strategy, and roadmap for AI‑first learning systems on the Databricks platform, anchored on contextual, in the flow of work enablement and a unified skills infrastructure. Design experiences that surface targeted knowledge precisely when users need it, triggered by real work context (e.g., usage patterns, errors, task types), reducing interruptions and friction. Translate learning and pedagogical goals into platform capabilities such as learner models, skills graphs, progress tracking, adaptive learning paths, assessments, and feedback loops. Partner with UX and content design to create intuitive, embedded guidance and learning patterns that feel like part of the workflow, not separate training destinations. Collaborate with platform and infrastructure teams to ensure learning and skills systems are reliable, secure, performant, and able to serve global enterprise customers at scale. Define and evolve predictive signals and analytics that give proactive visibility into emerging skills and capability gaps, enabling action before they impact business outcomes. Build features and tooling that allow enablement teams to deliver at-scale personalizati

Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together. Senior Advisory Solutions Consultant - DoW Location : Remote | Work Model: Remote field role Redefine what it means to be a technical advisor by architecting mission-critical cloud solutions that power our nation's most vital public sector agencies. ABOUT THE TEAM The Solutions Consulting organization at Appian sits at the vital center of our global commercial engine, bridging the gap between sophisticated enterprise business needs and cutting-edge platform capabilities to secure the technical win. Our mission is to prove the undeniable value of Appian’s platform within the AI-Powered Process Automation market, driving customer acquisition and fueling corporate growth. Under our SC 2.0 operating model, our consultants don't just demo features—they tell compelling stories, co-create solutions with customers, and help shape strategy with technical credibility and business insight. THE OPPORTUNITY Ready to take your career to the next level alongside the smartest, most creative people in the tech industry? As a Senior Advisory Solutions Consultant- DoW, you will step into a highly visible, strategic role serving as the trusted advisor for federal agencies, partners, sales leadership, and product teams. This is a game-changing opportunity to own account strategy and technical orchestration for strategic opportunities, translating intricate agency requirements directly into groundbreaking technical solutions that fuel our next stage of hyper-growth within our Enterprise-Grade Orchestration ecosystem. WHAT YOU'LL DO Own Account Strategy: Ow

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 Everpure is building a global practice for Managed Service Providers from zero: The program, the proposition, and the wins that prove it out. As Senior Solutions Architect, MSP, you're the technical front line: helping define how Everpure goes to market with MSPs, then taking that straight to the field to win deals. You'll work shoulder-to-shoulder with MSP architects and their end customers, fluent in cost-per-tenant economics one minute and whiteboarding architecture the next. There's no playbook yet; you'll be building it and proving it, deal by deal. WHAT YOU'LL DO Own technical leadership of MSP opportunities end to end: discovery, solution design, sizing, competitive positioning, POCs and technical close. Define the end-to-end service architecture — multi-tenancy, automation, provisioning, operational model and integration into the MSP's existing stack. Model and influence the commercial construct: unit economics, cost per tenant, Evergreen//One and consumption models. Displace competitors in MSP environments and position the full platform — FlashArray, FlashBlade, Portworx and Everpure Data Intelligence. Build technical credibility with MSP architects, practice leads and CTOs, growing a population of partner-side technical champions. Feed real MSP requirements back into the global MSP programme and Product Management, contributing reusable IP — reference architectures, sizing guides, service blueprints — fr

Job Title: ML Annotation QA Engineer About Us Are you ready to build the future of supply chain? At Gather AI, we’re not just creating software, we’re pioneering a new era of warehouse intelligence. We’ve developed a groundbreaking, vision-powered platform that uses autonomous drones and existing equipment to capture real-time data, completely digitizing workflows that have historically been manual and error-prone. This means facilities operate smarter, safer, and more efficiently, ultimately redefining "on-time, in full" delivery. If you’re looking for an opportunity to contribute to truly transformative technology and make a significant impact in a vital industry, Gather AI is the place for you. We’re leading the charge in the rapidly evolving robotics industry, and we invite you to join us in reshaping the global supply chain, one intelligent warehouse at a time. About the Team Our engineering organization spans autonomy, computer vision and machine learning, embedded and hardware systems, full-stack, and cloud, all working in parallel across multiple active product lines tied to live customer deployments. It’s a technically deep, fast-moving team where individual contributors carry real accountability and the work shows up directly in customer operations. Ground truth quality sits at the centre of that — the annotated data this role owns is what our models are trained and measured against. About the Role We are looking for an ML Annotation QA Engineer to own the quality of annotated data across our computer vision and machine learning programs. This role is responsible for the judgment-heavy analysis that cannot be reliably outsourced, for the decision rules behind it, and for turning annotation output into an ongoing read on how our systems are actually performing in the field. We work with an external annotation partner at production volume, and that continues. What we need in house is someone who can analyse the annotated data, make and defend the calls the v