Probe Equipment Engineer Jobs

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the Team Product Platform builds and owns the shared foundations the rest of Replit is built on, spanning the full stack so every other team can ship features safely and quickly. Identity & Authorization defines how people, agents, sandboxes, and services prove who they are and what they can do. These systems protect critical product and service interactions across Replit's web product, Agent, enterprise controls, and internal services. Our work is high-leverage and horizontal: when identity and policy are clear, reliable, and easy to adopt, every other team can move faster without rebuilding security controls. We are a small, collaborative team that values curiosity and clear thinking over pedigree, and we work in the open by bringing each other the problem rather than just the request. We care more about how you reason and build than the route you took to get here. About the Role As a Software Engineer , you will design, build, and operate the identity and authorization systems that protect critical interactions on Replit, including Agent acting on behalf of a user or holding their own identity. The work is guided by a few simple questions: Can every protected request prove which workload made it, which principal it represents, and who is acting on that principal's behalf? Can product teams express policy once and trust the same decision across web, mobile, Agent, and internal services? Can enterprise administrators control who can access each workspace, app, connector, and Agent capability without navigating a permission maze as well as having a legible ledger of decisions? Can Agent act for a user across long-running and durable work without receiving broad or long-lived credentials? Are identity and auth

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

About Sentry Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. About the role Ever wondered what it's actually like to build a career at a company millions of developers rely on? Software Engineers at Sentry write real code on real projects that ship to production. No busywork, no "prove yourself first" purgatory. Just you, a team that actually trusts you, and a codebase used by millions of developers every day, including the ones building the AI tools everyone's talking about. You'll land on either an SDK team or Ingest — and either way, you're in the critical path, not on the sidelines. SDKs are where past interns have shipped async support for our Python SDK and a faster AWS Lambda extension — real code running inside frameworks developers use every day. Ingest is the backbone: you'll get hands-on with the pipelines (including our open-source Relay and Symbolicator ) that process millions of events every minute. New grad hires are rad hires. Our onboarding is built to set you up for long-term success from day one — comprehensive training, dedicated mentorship, social events, and a built-in community of peers who started right alongside you. (There are also snacks. The good kind.) Many of our new grads started out as interns here first — read the stories from Sentaurs who liked it enough to come back full-time. In this role you will Be matched with one of our SDKs , Product or Ingest teams, based on your interests and experience Design, develop, and ship features and systems that drive real value to customers Own projects end-to-end, from design through production Receive ongoing feedback, coaching, and mentorship from your manager and teammates You'll love this job if you Want to be

We are looking for a Senior Solutions Engineer, Federal/Public Sector to join our Solutions Engineering team. You will partner with Account Executives to qualify, progress, and close revenue opportunities with civilian, defense, and intelligence community agencies, guiding them through demos, architecture discussions, and proofs-of-concept that prove Coder’s value for both human developers and the AI coding agents working alongside them, often inside classified or air-gapped networks. This is not a scripted-demo-only role. You are equally comfortable running a deep technical proof-of-concept inside a disconnected or classified environment and stepping back to translate a technical win into a business case a federal decision-maker will act on. You are energized by ambiguity, motivated by winning deals the right way, and capable of bringing the voice of the agency back into how Coder builds and sells. What You’ll Do Own the technical relationship with agency prospects through pre-sales, and efficiently manage towards a technical win Lead or support post-sales relationships and renewals when needed Demo the Coder platform from the developer, administrator, and AI agent workflow perspectives, including in classified and air-gapped settings Install Coder on cloud (including GovCloud) and on-prem Kubernetes or VM infrastructure, up to and including air-gapped and disconnected networks Run proofs-of-concept that prove Coder’s value, including for agentic and LLM-powered development workflows, and accelerate deals Evolve into a subject-matter expert on Cloud Development Environments, agentic AI development, and their impact on mission delivery Serve as the agency’s voice, routing insights to Engineering and Product Log feature requests and issues in our public/private Git repositories Troubleshoot Coder deployments, networking, and Kubernetes components during evaluation, including within classified networks Contribute pull requests to Coder’s documentation What We’re Looki

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. Applied AI Research Engineer Applied AI Research Team, Applied AI About the role: As an Applied AI Research Engineer, you will discover what Anthropic's models and products can do, prove it with real customers, and equip the rest of Applied AI to sell and deliver it. You'll embed with product teams to build deep expertise on new capabilities as they develop, and serve as a critical feedback loop carrying field reality back to Product and Research so that what we build next reflects what customers actually need. In collaboration with Sales, Product, and Research teams, you'll sit at the intersection of what we build and how customers adopt it. You'll own the technical GTM handshake for model and product launches: testing new models to understand their strengths and limitations, building demos and evals, and helping field teams get ready. When strategic customers hit novel challenges, you'll go hands-on to solve them. And throughout, you'll synthesize what you're learning across customers and products into insights that shape our roadmap, working closely with Product, Engineering, and Research teams to stay calibrated on what's working, what's not, and what matters most. This role is equal parts researcher, field expert, and connective tissue between our customers and the teams that build our products. You'll need the technical depth to push the boundaries of what our models can do, strong communication skills to make complex capabilities clear to diverse audiences, and the instinct to turn what you learn in the field into signal that makes our products better. Responsibilities: Embed with product teams to build dee

We are looking for a Senior Solutions Engineer to join our Sales Engineering team. You will partner with Account Executives to qualify, progress, and close revenue opportunities with Fortune 500 prospects — guiding them through demos, architecture discussions, and proofs-of-concept that prove Coder’s value for both human developers and the AI coding agents working alongside them. This is not a scripted-demo-only role. You are equally comfortable running a deep technical proof-of-concept and stepping back to translate a technical win into a business case an economic buyer will act on. You are energized by ambiguity, motivated by winning deals the right way, and capable of bringing the voice of the prospect back into how Coder builds and sells. What you will be doing: Own the technical relationship with prospects through pre-sales, and efficiently manage towards a technical win Demo the Coder platform from the developer, administrator, and AI agent workflow perspectives Install Coder on cloud and on-prem Kubernetes or VM infrastructure Run proofs-of-concept that prove Coder’s value including for agentic and LLM-powered development workflows and accelerate deals Evolve into a subject-matter expert on Cloud Development Environments, agentic AI development, and their business impact Serve as the prospect’s and customer’s voice, routing insights to Engineering and Product Track and report product issues and feature requests using Linear Troubleshoot Coder deployments, networking, and Kubernetes components during evaluation Contribute pull requests to Coder’s documentation What you bring: Minimum 5 years of experience as a Solutions Engineer selling infrastructure or developer tooling Strong customer-facing skills that win trust with technical stakeholders Ability to translate technical hurdles into business value in real time Understand agentic AI software development use cases and advocate passionately where appropriate Comfortable leading architecture demos and deep-div

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 Responsibilities Perform electrical and physical failure analysis for device anomalies, customer returns, and qualification failures. Apply advanced FA tools including FIB/EDX, SEM, Ion Millers, CSAM, 2D/3D X-ray, Emmi systems, micro-prober and bench tester. Analyze test data failures using Bash/Python scripting in a Unix environment. Analyze electrical signatures and physical defects to resolve failure mechanisms. Collaborate with process owners and Product teams to drive improvement actions. Develop and implement new FA techniques to reduce turnaround time and enhance accuracy. Drive continuous improvement initiatives and embrace standards for FA workflows. Ensure strict consistency to lab safety protocols and chemical handling guidelines. Maintain +6S standards in the FA lab. Prepare detailed FA reports and maintain accurate records for traceability. Present findings to requestors, MRB and multi-functional teams. Provide guidance to FA technicians and lead workload distribution. Work closely with vendors for tool upgrades and capability improvements. Utilize AI-enabled tools and digital

We are looking for a Senior Solutions Engineer to join our Sales Engineering team. You will partner with Account Executives to qualify, progress, and close revenue opportunities with Fortune 500 prospects — guiding them through demos, architecture discussions, and proofs-of-concept that prove Coder’s value for both human developers and the AI coding agents working alongside them. This is not a scripted-demo-only role. You are equally comfortable running a deep technical proof-of-concept and stepping back to translate a technical win into a business case an economic buyer will act on. You are energized by ambiguity, motivated by winning deals the right way, and capable of bringing the voice of the prospect back into how Coder builds and sells. What you will be doing: Own the technical relationship with prospects through pre-sales, and efficiently manage towards a technical win Demo the Coder platform from the developer, administrator, and AI agent workflow perspectives Install Coder on cloud and on-prem Kubernetes or VM infrastructure Run proofs-of-concept that prove Coder’s value including for agentic and LLM-powered development workflows and accelerate deals Evolve into a subject-matter expert on Cloud Development Environments, agentic AI development, and their business impact Serve as the prospect’s and customer’s voice, routing insights to Engineering and Product Track and report product issues and feature requests using Linear Troubleshoot Coder deployments, networking, and Kubernetes components during evaluation Contribute pull requests to Coder’s documentation What you bring: Minimum 5 years of experience as a Solutions Engineer selling infrastructure or developer tooling Strong customer-facing skills that win trust with technical stakeholders Ability to translate technical hurdles into business value in real time Understand agentic AI software development use cases and advocate passionately where appropriate Comfortable leading architecture demos and deep-div

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 Mach Industries is seeking a Principal GNC Engineer to define, develop, and flight-prove the GNC architecture for autonomous aircraft and related defense platforms. You will own system-level technical decisions across guidance, navigation, flight controls, modeling and simulation, embedded implementation, and flight test. This is a hands-on technical leadership role. You will solve the program’s hardest problems, establish engineering rigor, and guide multidisciplinary teams from early vehicle design through flight qualification and deployment. The ideal candidate combines deep flight-vehicle expertise with strong software judgment, decisive technical leadership, and a record of fielding reliable systems. Key Responsibilities Own the end-to-end GNC architecture and technical roadmap across all mission phases, from launch or takeoff through terminal operations, recovery, or landing. Translate mission objectives and vehicle concepts into GNC requirements, interfaces, performance budgets, and verification criteria. Design, analyze, and mature guidance algorithms, control laws, state-estimation solutions, gain schedules, and control-allocation strategies. Ensure robust performance across the full operating envelope while accounting for aerodynamic u

At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. About the Cash Forecasting team: Cash Forecasting is our AI-amplified treasury solution that helps CFOs and treasury teams move beyond error-prone spreadsheets to achieve real-time cash visibility and predictive accuracy. The platform integrates seamlessly with major ERPs and banking systems to automatically capture, categorise, and analyse transactional data across multiple currencies and business units. Leveraging our proprietary GSmart AI technology, the solution continuously learns from historical cash flows, sales data, and treasury information to automatically select optimal forecasting algorithms and improve accuracy by over 30%. You'll work on sophisticated Ruby on Rails and React software that turns diverse financial data into clear analysis, giving customers sharp insight and forecasting through intuitive dashboards. This is a critical platform moving over $100 billion in daily cash flow for enterprise customers across 40+ countries, built to hold enterprise-grade security and scalability at that scale, every single day. What You’ll Do: Design, build, and maintain backend services and APIs that power the Cash Forecasting platform, while remaining comfortable picking up frontend work when the task calls for it Work across a large, sophisticated, multi-tenant SaaS codebase, writing code that's built to scale across enterprise customers and their data Own

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 We're hiring Cyber Evaluations Engineers to build and run the evaluations that measure cyber-relevant capabilities and safeguard robustness in our models. You'll design new evals, run per-release robustness testing, and dig into data on jailbreaks and prompt bypasses to understand where our safeguards hold up and where they don't. You'll also design many of the probes that detect cyber abuse in production and help shape the overall detection architecture alongside the policy team. Key responsibilities Design and run capability, uplift, and safety evaluations to assess cyber-relevant risk in new models Execute per-release safeguard-robustness testing ahead of major model launches Analyze evaluation results and communicate findings clearly to the team and to stakeholders Design, prototype, and tune detection probes for cyber misuse Work with the cyber policy team to turn policy lines into a layered, robust abuse-detection architecture, and measure its precision and coverage over time Build and maintain internal tooling used to run and score evaluations Collaborate with policy and engineering partners to translate eval findings into safeguard improvements Minimum qualifications Experience building or running evaluations, benchmarks, or test suites for software or ML systems, including delivering results on short, fixed timelines Hands-on cybersecurity experience (e.g., CTF participation, vulnerability research, exploit development, or security research) Proficiency in Python Strong ability to communicate evaluation results with multiple cross-functional stakeholders or potential policy stakeholders Preferred qualific

WHO WE ARE: Zinnia is the leading technology platform for accelerating life and annuities growth. With innovative enterprise solutions and data insights, Zinnia simplifies the experience of buying, selling, and administering insurance products. All of which enables more people to protect their financial futures. Our success is driven by a commitment to three core values: be bold, team up, deliver value – and that we do. Zinnia has over $180 billion in assets under administration, serves 100+ carrier clients, 2500 distributors and partners, and over 2 million policyholders. WHO YOU ARE: You are a seasoned carrier-facing seller who knows the life and annuity market cold and comes with the relationships to prove it. You have spent your career selling technology to carriers – you understand how a CIO, COO, or Head of New Business evaluates a policy administration or underwriting platform, and you know how to move a complex, multi-year decision forward. When you say you can open a door at a carrier, you can, because you have already walked through it. You are a hunter with substance. You pair a strong rolodex with genuine domain fluency – policy administration, new business, and underwriting – so you can go deep with technical and operational buyers, not just make the introduction. You are disciplined about pipeline, honest about deal health, and relentless about follow-through. WHAT YOU'LL DO: Own a carrier sales quota focused on Zinnia’s policy administration and underwriting solutions, sourcing and closing new-logo and expansion opportunities. Sell Zinnia’s policy administration platform (Zahara) and new business / underwriting solutions to life and annuity carriers, from first meeting through signature. Leverage and expand your network of senior carrier relationships to build qualified pipeline and accelerate access to decision-makers. Run complex, multi-stakeholder sales cycles – navigating IT, operations, new business, underwriting, actuarial, finance, and procurem

About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We embed deeply with users to solve high-leverage problems. We move quickly from prototype to deployment and surface patterns that shape the platform. We operate at the intersection of customer delivery and core development. We work closely with Product, Research, and Go-To-Market (GTM). About the role We are hiring a Forward Deployed Engineer (FDE) to build and deploy AI systems for legal work. You will embed deeply with customers—often working closely with senior legal practitioners—to identify the right first use case, rapidly prototype a solution, and prove measurable value. Early engagements may focus on creating a “hero” workflow that shows how OpenAI’s models can support legal analysis, drafting, research, or real-time work with complex case records. You will own the technical work from discovery and proof of concept through production adoption, while translating customer workflows and constraints into clear product feedback. As the motion matures, you will turn successful deployments into repeatable patterns that can scale across larger accounts and the broader legal market. This role is based in San Francisco or New York City. We use a hybrid work model of three days in the office per week and offer relocation assistance. Travel up to 50% may be required. In this role, you will Embed with law firms and legal teams to understand their workflows, identify high-value opportunities, and select the right initial use cases to prove value. Build full-stack systems that deliver customer value and sharpen how we learn Embed closely with customer teams, understand their needs, and guide adoption of what you build Make trade-offs between scope, speed, and quality; adjust plans to protect delivery Contribute directly in the code when progress or clarity depends on it Codify working patterns into tools, playbooks, or building blocks t