Unconventional AI jobs

AI Systems Palo Alto, CA About Unconventional Since 2022, AI has entered the mainstream, reshaping entire industries from education and software development to fundamental consumer behaviors. This revolution has created an unprecedented demand for computation - a demand that is now fundamentally limited by energy, not just in the datacenter, but at a global scale. At Unconventional, our mission is to solve this. We are rethinking computing from the ground up to build a new foundation for AI that is 1000x more efficient. We're doing this by exploiting the rich physics of semiconductors, mapping neural networks directly to the device physics rather than relying on layers of inefficient abstraction. The Role As a Member of Technical Staff, AI Systems, you will develop state-of-the-art architectural components, write their bespoke implementations for our unconventional software framework, and map them efficiently down to the physical silicon. You are critical to preparing our software stack for upcoming tapeouts by acting as the bridge between model architecture and physical compute. What You'll Do - AI Architectural Modeling: Co-design and evaluate next-generation AI models (e.g, transformers, diffusion, flow, and energy-based models). You will collaborate closely across the team to combine, modify, and implement core modeling components, including both conventional (e.g., attention, normalization, Mixture-of-Experts, FFNs) and unconventional components. You will ensure that they function optimally across our novel compute substrates. - Performance Modeling & Scaling: Establish and test scaling laws specific to our novel hardware. Develop rigorous performance models to evaluate compute vs. memory trade-offs - Advanced

AI Theory Palo Alto, CA I US Remote About Unconventional Since 2022, AI has entered the mainstream, reshaping entire industries from education and software development to fundamental consumer behaviors. This revolution has created an unprecedented demand for computation - a demand that is now fundamentally limited by energy, not just in the datacenter, but at a global scale. At Unconventional, our mission is to solve this. We are rethinking computing from the ground up to build a new foundation for AI that is 1000x more efficient. We're doing this by exploiting the rich physics of semiconductors, mapping neural networks directly to the device physics rather than relying on layers of inefficient abstraction. The Role As a Member of Technical Staff, you will be a foundational member of our small, multi-disciplinary R&D team. We are looking for 'first principles' thinkers who are excited to tackle the hardest, most ambiguous technical challenges at the intersection of AI, physics, and computer architecture. You will be responsible for driving invention, prototyping, and validation of the core components of our novel computing platform. Your work will be fluid and could span from theoretical modeling and simulation to algorithm development, hardware/software co-design, or experimental validation in collaboration with other team members. We're hiring exceptional problem-solvers who can navigate deep uncertainty and help chart our technical roadmap. What We're Looking For - Exceptional technical ability in a quantitative field (e.g., Physics, Computer Science, Electrical Engineering, Applied Math, or a related discipline). An MS/PhD or equivalent research/project experience

AI Hardware Architecture Palo Alto, CA About Unconventional Since 2022, AI has entered the mainstream, reshaping entire industries from education and software development to fundamental consumer behaviors. This revolution has created an unprecedented demand for computation - a demand that is now fundamentally limited by energy, not just in the datacenter, but at a global scale. At Unconventional, our mission is to solve this. We are rethinking computing from the ground up to build a new foundation for AI that is 1000x more efficient. We're doing this by exploiting the rich physics of semiconductors, mapping neural networks directly to the device physics rather than relying on layers of inefficient abstraction. The Role As a Member of Technical Staff, you will be a foundational member of our small, multi-disciplinary R&D team. This isn't a role with a predefined checklist; it's an opportunity to help define the "what" and the "how." We are looking for 'first principles' thinkers who are excited to tackle the hardest, most ambiguous technical challenges at the intersection of AI, physics, and computer architecture. You will be responsible for driving invention, prototyping, and validation of the core components of our novel computing platform. Your work will be fluid and could span from theoretical modeling and simulation to algorithm development, hardware/software co-design, or experimental validation in collaboration with other team members. We're hiring exceptional problem-solvers who can navigate deep uncertainty and help chart our technical roadmap. Responsibilities We are seeking exceptional individuals who will help to propose, design, and

AI Silicon, Analog Design Palo Alto, CA About Unconventional Since 2022, AI has entered the mainstream, reshaping entire industries from education and software development to fundamental consumer behaviors. This revolution has created an unprecedented demand for computation - a demand that is now fundamentally limited by energy, not just in the datacenter, but at a global scale. At Unconventional, our mission is to solve this. We are rethinking computing from the ground up to build a new foundation for AI that is 1000x more efficient. We're doing this by exploiting the rich physics of semiconductors, mapping neural networks directly to the device physics rather than relying on layers of inefficient abstraction. The Role As a Member of Technical Staff, you will be a foundational member of our small, multi-disciplinary R&D team. This isn't a role with a predefined checklist; it's an opportunity to help define the "what" and the "how." We are looking for 'first principles' thinkers with deep understanding of the fundamentals of analog mixed-signal design who are excited to tackle the hardest, most ambiguous technical challenges at the intersection of AI, physics, and computer architecture. You will be responsible for driving invention, prototyping, and validation of the core components of our novel computing platform. Responsibilities - Design & Architecture: Define, architect, and implement complex analog mixed-signal circuits from specification to GDSII in deep sub-micron CMOS technologies - Core Block Ownership: Take ownership of the full design cycle for critical IP blocks. - Verification & Simulation: Conduct comprehensive pre-layout

AI Silicon, Design Verification Palo Alto, CA I US Remote About Unconventional: Since 2022, AI has entered the mainstream, reshaping entire industries from education and software development to fundamental consumer behaviors. This revolution has created an unprecedented demand for computation - a demand that is now fundamentally limited by energy, not just in the datacenter, but at a global scale. At Unconventional, our mission is to solve this. We are rethinking computing from the ground up to build a new foundation for AI that is 1000x more efficient. We're doing this by exploiting the rich physics of semiconductors, mapping neural networks directly to the device physics rather than relying on layers of inefficient abstraction. Responsibilities: - Verification Strategy & Architecture: Define, architect, and implement comprehensive verification plans and environments for IP blocks and full chip from specification to tape-out. - Methodology and Infrastructure: help build verification infrastructure from ground zero to flexible and nimble environments, able to move quickly and scale for growth. - Testbench Ownership: Take full ownership of the verification lifecycle, including the development and maintenance of scalable testbenches, sophisticated test cases, and robust verification environments. - Advanced Methodology Execution: Deploy industry-standard methodologies (UVM/SystemVerilog) to conduct constrained-random stimulus generation, coverage-driven verification, and assertions. - Cross-Functional Integration: Collaborate closely with digital and analog design teams, as well as software and systems teams, to define verification requirements, debug complex hardware/software interactions, and ensure design integrity. - Analysis & Closure: Perform exhaustive analysis of functional and code coverage. Debug failures at

AI Systems, Training Palo Alto, CA I US Remote About Unconventional Since 2022, AI has entered the mainstream, reshaping entire industries from education and software development to fundamental consumer behaviors. This revolution has created an unprecedented demand for computation - a demand that is now fundamentally limited by energy, not just in the datacenter, but at a global scale. At Unconventional, our mission is to solve this. We are rethinking computing from the ground up to build a new foundation for AI that is 1000x more efficient. We're doing this by exploiting the rich physics of semiconductors, mapping neural networks directly to the device physics rather than relying on layers of inefficient abstraction. The Role You will be a key contributor to our training ecosystem. Your goal is to build the next-generation ML model training platform tailored for a world where compute is no longer constrained by the digital abstraction. You will co-design and implement training systems alongside novel AI models and hardware platforms that push the boundaries of physics-based compute. What You'll Do - The Model Architectures: Build and maintain highly optimized, model-specific training stacks specifically tuned for state-of-the-art generative vision, language, and world models. - The Training Infrastructure: Design and scale multi-node distributed training systems, implementing elastic sharding and robust data streaming pipelines for fast, large-scale iteration. Implement and robust model checkpointing and recovery mechanisms. - Optimization & Benchmarking: Develop and optimize kernels using low-level programming models like CUDA andTriton. Design rigorous benchmarking suites to track Model Flops

AI Systems, Language & Reasoning Models Palo Alto, CA I US Remote About Unconventional Since 2022, AI has entered the mainstream, reshaping entire industries from education and software development to fundamental consumer behaviors. This revolution has created an unprecedented demand for computation - a demand that is now fundamentally limited by energy, not just in the datacenter, but at a global scale. At Unconventional, our mission is to solve this. We are rethinking computing from the ground up to build a new foundation for AI that is 1000x more efficient. We're doing this by exploiting the rich physics of semiconductors, mapping neural networks directly to the device physics rather than relying on layers of inefficient abstraction. The Role As a Member of Technical Staff, Language & Reasoning Models, you will drive the development of foundational language and reasoning models that fundamentally leverage the dynamics of our novel silicon. Your goal is to map the behaviors of modern language models directly onto the physics of our hardware. You will sit at the intersection of NLP/reasoning research and hardware codesign, proving that high-fidelity, large-scale language understanding and generation can be achieved natively on an unconventional computing substrate. What You'll Do - Model Development: Design, train, and scale next-generation language and reasoning architectures (such as transformers, state space models, diffusion/flow models, and deep equilibrium models) specifically tailored for unconventional compute. - Physics-Informed Architecture: Rethink standard sequence modeling to exploit the continuous-time dynamics of silicon, moving away from layers of inefficient digital abstraction. -

System Modeling (Simulation) Palo Alto, CA I US Remote About Unconventional Since 2022, AI has entered the mainstream, reshaping entire industries from education and software development to fundamental consumer behaviors. This revolution has created an unprecedented demand for computation - a demand that is now fundamentally limited by energy, not just in the datacenter, but at a global scale. At Unconventional, our mission is to solve this. We are rethinking computing from the ground up to build a new foundation for AI that is 1000x more efficient. We're doing this by exploiting the rich physics of semiconductors, mapping neural networks directly to the device physics rather than relying on layers of inefficient abstraction. The Role As a Member of Technical Staff, System Modeling (Dynamic Systems Simulation), you will be part of a hands-on R&D team building simulation frameworks that bridge the gap between SPICE-level physical reality and AI framework-level algorithmic abstraction. You will be part of a hands-on R&D team building custom, high-speed and, high-fidelity behavioral simulators that enable rapid iteration across all layers of unconventional physics-based computing systems. “Extreme co-design” is our guiding principle. We need tools that simulate complex analog and mixed-signal systems millions of times faster than traditional circuit simulators, without losing the critical dynamics that govern system behavior. System Modeling is a multi-disciplinary effort, and the team we're building reflects that. The role involves development of physics-based system models, GPU-accelerated ML system simulations, and cross-layer system integration. You don't need to be an expert in all

Junior System Modeling Palo Alto, CA I US Remote About Unconventional AI We are rethinking the foundations of the computer to optimize energy efficiency for AI. Founded by pioneers in the field - including Naveen Rao (Nervana, MosaicML) and Michael Carbin (MIT, MosaicML) - we are building a new computational substrate that interfaces directly with the physics of silicon to achieve biology-scale efficiency. We recently raised $475M in seed funding to turn this vision into reality. As a Junior Member of Technical Staff, System Modeling , you will work closely with senior engineers to contribute to the development of our multi-disciplinary simulation frameworks. You will assist the hands-on R&D team in building simulation environments that enable rapid iteration and testing across all layers of our unconventional physics-based computing systems for machine learning workloads. Your work will focus on integrating physics-based models, developing GPU-accelerated simulations, and supporting the cross-layer system integration necessary for "Extreme co-design". Key Responsibilities - Contribute to the implementation and optimization of GPU-accelerated simulators for ML on analog/unconventional hardware, focusing on specific modules and features within PyTorch. - Assist in integrating physics-based device and system models into the PyTorch simulation environment to help expose early algorithm-hardware tradeoffs and enable cross-layer optimization. - Support the maintenance and extension of the unified end-to-end simulation environment, helping to link theory, algorithms, and device models, and ensuring alignment between high-level and near-physical simulators. - Help implement and adhere to robust experiment tracking protocols to ensure simulation results, configurations, and non-idealities are reproducible

System Modeling (Computation) Palo Alto, CA I US Remote About Unconventional Since 2022, AI has entered the mainstream, reshaping entire industries from education and software development to fundamental consumer behaviors. This revolution has created an unprecedented demand for computation - a demand that is now fundamentally limited by energy, not just in the datacenter, but at a global scale. At Unconventional, our mission is to solve this. We are rethinking computing from the ground up to build a new foundation for AI that is 1000x more efficient. We're doing this by exploiting the rich physics of semiconductors, mapping neural networks directly to the device physics rather than relying on layers of inefficient abstraction. The Role As a Member of Technical Staff, System Modeling (Computation), you will be part of a hands-on R&D team building simulation frameworks that enable evaluation and rapid iteration across all layers of unconventional physics-based computing systems for machine learning workloads. “Extreme co-design” is our guiding principle. System Modeling is a multi-disciplinary effort, and the team we're building reflects that. The role involves development of physics-based system models, GPU-accelerated ML system simulations, and cross-layer system integration. You don't need to be an expert in all of these, but you have to be very strong in at least one, and solid in the rest. Responsibilities You will be responsible for one or more of the following tasks: - Architecting Foundational Solvers: Building large-scale, GPU-accelerated, high-fidelity numerical differential equation solvers (ODE, SDE, CDE, PDE). You will build tools that

System Modeling (Performance Models) Palo Alto, CA I US Remote About Unconventional Since 2022, AI has entered the mainstream, reshaping entire industries from education and software development to fundamental consumer behaviors. This revolution has created an unprecedented demand for computation - a demand that is now fundamentally limited by energy, not just in the datacenter, but at a global scale. At Unconventional, our mission is to solve this. We are rethinking computing from the ground up to build a new foundation for AI that is 1000x more efficient. We're doing this by exploiting the rich physics of semiconductors, mapping neural networks directly to the device physics rather than relying on layers of inefficient abstraction. The Role As a Member of Technical Staff, System Modeling (Performance Models), you will be part of a hands-on R&D team building simulation frameworks that enable evaluation and rapid iteration across all layers of unconventional physics-based computing systems for machine learning workloads. “Extreme co-design” is our guiding principle. System Modeling is a multi-disciplinary effort, and the team we're building reflects that. The role involves development of physics-based system models, GPU-accelerated ML system simulations, and cross-layer system integration. You don't need to be an expert in all of these, but you have to be very strong in at least one, and solid in the rest. Responsibilities You will be responsible for one or more of the following tasks: - Building extensible and composable high-fidelity power, performance and area estimation tools for novel AI acceleration system architectures to

Senior AI Marketing Producer, Media AI Lab San Francisco, CA, USA The Media AI (m.AI) Lab is an AI solutions accelerator for Google, helping marketers see the future and ensure progressive usage of AI. Our mission is to rapidly identify, incubate, and graduate substantive AI tools and operating models that benefit all of Google marketing. As a Senior AI Marketing Producer, you will be a key part of managing Search (product area) creative operations and intake, establishing efficient processes and clarity by translating Product Marketing Manager needs into feasible global creative production plans. You will succeed in changing, team environments and will be comfortable pivoting between multiple projects. Problem-solving comes naturally, and your ability to build consensus and create clarity from ambiguity will be the key to your success. You will be passionate about business transformation, with proven success in navigating the human side of change management as new technologies and ways of working are introduced within a structured organization. You will be a user-centric thinker to communicate topics in a clear manner to influence without authority across levels, functions, and geographies. Know the user. Know the magic. Connect the two. At its core, marketing at Google starts with technology and ends with the user, bringing both together in unconventional ways. Our job is to demonstrate how Google's products solve the world's problems--from the everyday to the epic, from the mundane to the monumental. And we approach marketing in a way that only Google can--changing the game, redefining the medium,

Senior Product Analyst (AI) London Our Story Hello there. We're Zopa. We started our journey back in 2005, building the first ever peer-to-peer lending company. Fast forward to 2020 and we launched Zopa Bank. A bank that listens to what our customers don't like about finance and does the opposite. We're redefining what it feels like to work in finance. Our vision for a new era of banking puts people front and centre - we've built a business that empowers everyone to aim high, every day, to move finance forward. Find out more about our fantastic offerings at Zopa.com! We're incredibly proud of our achievements and none of it would be possible without the amazing team here. It's not just industry awards we're winning, we've also been named in the top three UK's Most Loved Workplaces. If you embrace unconventional challenges, are unafraid to think differently and are driven to make an outsized impact, you'll thrive here at Zopa, so join us, and make it count. Want to see us in action? Follow us on Instagram @zopalife At Zopa, Analysts are the people who inspire ideas and strategies to drive our business forward and make our products better for customers. Our analysts are a mix of creative problem solvers and number whizzes with a passion for translating numbers into business opportunities and delivering insights to drive decision-making. They're also excellent communicators with the ability to story-tell with data to both technical and non-technical stakeholders. Our analysts are deeply embedded into

Senior Director, AI Innovation USA - Corona, CA About Monster Energy: Forget about blending in. That's not our style. We're the risk-takers, the trailblazers, the game-changers. We're not perfect, and we don't pretend to be. We're raw, unfiltered, and a bit unconventional. But our drive is unrivaled, just like our athletes. The power is in your hands to define what success looks like and where you want to take your career. It's not just about what we do, but about who we become along the way. We are much more than a brand here. We are a way of life, a mindset. Join us. A day in the life: As the Sr. Director, AI Innovation, you will define the long-term AI (Artificial Intelligence) vision, drive enterprise-wide transformation through high-impact, high-visibility AI initiatives. Oversee the strategy, development, and execution of breakthrough AI solutions across all business functions while also owning AI upskilling and cultural adoption across the company. Partner closely with executive leadership to ensure AI accelerates growth, enhance productivity, and position Monster as an industry leader in responsible and innovative AI adoption. The impact you'll make: - Define & Lead Monster's AI Vision -- Establish a bold, long-term AI strategy that aligns with enterprise goals, identifying major opportunities to transform revenue, operations, marketing, supply chain, finance, HR, and customer engagement. - Drive High-Impact AI Initiatives (“Big Swings”) -- Lead the conception and delivery of breakthrough AI programs (new platforms, AI-powered experiences, automation - Build & Oversee the Enterprise AI Roadmap

AI Solution Architect, YouTube Marketing San Bruno, CA, USA; +1 more As a Solutions Architect focused on AI, you are a builder and a change agent. You will not just map out strategies; you will rapidly prototype, test, and deploy AI-driven solutions that replace manual workflows with intelligent, scalable automation. Operating with a high degree of independence, you will bypass traditional, slow-moving development cycles by utilizing AI-assisted development (vibe coding) and low-code solutions to prove value instantly. You will show the broader organization what is possible and accelerate our adoption of AI-first marketing at scale. In this role, you will bridge the gap between technical potential and marketing execution. If you want to grow in ambiguous, fast-paced environments and are passionate about shaping the future of AI-native operations, this role offers the platform to make a massive, global impact. Know the user. Know the magic. Connect the two. At its core, marketing at Google starts with technology and ends with the user, bringing both together in unconventional ways. Our job is to demonstrate how Google's products solve the world's problems--from the everyday to the epic, from the mundane to the monumental. And we approach marketing in a way that only Google can--changing the game, redefining the medium, making the user the priority, and ultimately, letting the technology speak for itself. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $148000 - $216000 (USD) + 15% bonus target + bonus + equity + benefits

Product Marketing Lead - Spatial AI San Francisco | OnSite ABOUT THE ROLE As Zensors' first Product Marketing leader, you have the unique opportunity to tell the story of how Physical AI will fundamentally transform the world around us. We are looking for an AI-native marketing visionary who naturally thinks outside the box. From reimagining airport operations to optimizing smart spaces, you will translate complex, cutting-edge technology into a compelling, human-centric narrative. You will own our product positioning and build our product marketing strategy from the ground up. You will act as a market educator, unpacking the "black box" of AI for our buyers, while continuously experimenting with new, unconventional ways to drive awareness. As an early marketing hire, you will act as a core thought leader, directly shaping the go-to-market journey of a pioneering company and delivering an outsized impact on our growth. KEY RESPONSIBILITIES - Storytelling & Positioning: Think completely outside the box to craft and refine product positioning, establishing Zensors as the undisputed market leader in Physical AI. Structure the overarching GTM message and ensure absolute consistency across all communications. - Educate & Evangelize: Act as the premier educator for our target market. Break down complex deep learning and computer vision concepts into accessible, value-driven narratives for B2B buyers. - Agile Experimentation: Continuously hypothesize, launch, and measure experimental marketing campaigns. Use an agile approach to test new channels, content formats, and growth hacks to increase product adoption. - GTM & Product Launches: Work closely alongside the product

Product Marketing Manager, Applied AI and Industry, Cloud Sunnyvale, CA, USA; +2 more Whether you're on a consumer product (like Gmail, Search, Maps, Chrome, Android) or a business product (Google Ads, AdSense, Google Marketing Platform, Analytics), you take part in a complete marketing experience as you lead every facet of the product's journey. From determining positioning, naming, competitive analysis, feature prioritization and external communications, you help shape the product and help it grow a consumer base. This means you work with a cross-functional team across Sales, corporate communications, legal, webmasters, product development, engineering and more. In this role, you'll be involved with product marketing strategy from beginning to end. As a Product Marketing Manager (PMM) for Applied AI, you will support the Go-to-Market (GTM) activities for specific AI product features. You will be a detail-oriented marketer who ensures that our product launches happen on time and that our business and marketing teams have the collateral they need to win. You will translate technical features into clear benefits and act as the connective tissue between the product development and business execution phases. Know the user. Know the magic. Connect the two. At its core, marketing at Google starts with technology and ends with the user, bringing both together in unconventional ways. Our job is to demonstrate how Google's products solve the world's problems--from the everyday to the epic, from the mundane to the monumental. And we approach marketing in a way that only Google can--changing the game, redefining the medium, making

Product Marketing Manager, Industry and Applied AI Sunnyvale, CA, USA; +2 more Whether you're on a consumer product (like Gmail, Search, Maps, Chrome, Android) or a business product (Google Ads, AdSense, Google Marketing Platform, Analytics), you take part in a complete marketing experience as you lead every facet of the product's journey. From determining positioning, naming, competitive analysis, feature prioritization and external communications, you help shape the product and help it grow a consumer base. This means you work with a cross-functional team across Sales, corporate communications, legal, webmasters, product development, engineering and more. In this role, you'll be involved with product marketing strategy from beginning to end. Know the user. Know the magic. Connect the two. At its core, marketing at Google starts with technology and ends with the user, bringing both together in unconventional ways. Our job is to demonstrate how Google's products solve the world's problems--from the everyday to the epic, from the mundane to the monumental. And we approach marketing in a way that only Google can--changing the game, redefining the medium, making the user the priority, and ultimately, letting the technology speak for itself. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $141000 - $206000 (USD) + 15% bonus target + bonus + equity + benefits Learn more about benefits at Google . Own and manage projects for the end-to-end Go-to-Market (GTM) strategy for applied AI product launches, defining target audiences, create differentiated messaging, and develop the

Unconventional Production Engineer Alternate Job Posting Location | Job City/State About us At ExxonMobil, our vision is to lead in energy innovations that advance modern living and a net-zero future. As one of the world's largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for. The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower-emissions technologies. We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society's evolving needs. Learn more about our What and our Why and how we can work together. About the Permian Straddling West Texas and Southeastern New Mexico, the Permian is the most prolific oil and gas basin in America and the engine behind the country's energy renaissance. Nationally, it provides about 40% of oil and 15% of gas production and plays a critical role in making the U.S. a leading energy exporter. The merger of ExxonMobil and Pioneer creates an Unconventional business with the largest, high-return development potential in the Permian Basin. The combined company's more than 1.4 million net acres in the Delaware and Midland basins have an estimated 16 billion barrels of oil equivalent resource. In 2023, we produced, on average 612,000 barrels

Unconventional Operations Geologist Alternate Job Posting Location | Job City/State About us At ExxonMobil, our vision is to lead in energy innovations that advance modern living while reducing emissions. As one of the world's largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for. The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower-emissions technologies. We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society's evolving needs. Learn more about our What and our Why and how we can work together. About Houston ExxonMobil's state-of-the-art campus north of Houston serves as home to its Upstream, Product Solutions and Low Carbon Solutions businesses and their associated service groups. The facility opened in 2014 and accommodates more than 10,000 employees and visitors. By bringing many global functional groups together, the campus provides employees with the tools and capabilities needed today, and in the future, to achieve business objectives and accelerate the discovery of new resources, technologies and products. It was designed to foster improved collaboration, creativity and innovation and enhance the company's ability to attract, develop and retain the top talent in the industry. The cam

Business Development Representative (BDR) Munich | OnSite THE OPPORTUNITY LLMs are changing how companies work with data. Zeit AI is building the autonomous data agent for Europe, enabling operators in manufacturing, agriculture, aviation and beyond to answer questions and run workflows without relying on expensive data teams. We are a team of seven, at over €1M ARR, with a working product and paying customers. Now we are scaling our commercial team. As a Business Development Representative, you will own the very first interaction with future customers. You are responsible for generating and qualifying pipeline through outbound prospecting and fast inbound response. You are not just booking meetings, but you are shaping how the market understands Zeit AI. This role can offer a clear progression but we are also open to unconventional paths. Within six months, you can grow into a Senior BDR. Within twelve months, you can step into a Junior AE role and close full-cycle deals. You'll Thrive If You - enjoy fast-paced environments and are comfortable reaching out to new prospects daily - are hungry, curious, resilient, persistent - communicate clearly and confidently, especially in German (native-level) and English (fluent) - are familiar with CRM Tools (Hubspot ideally) and outreach platforms (nice to have) - are curious about technology and want to understand how data and AI create business value - take ownership. You prepare your calls, run discovery conversations, qualify based on pain, urgency and fit, and hand over opportunities cleanly. About the Role - Outbound across

Research Scientist San Francisco, California, United States We are looking for researchers with a record of excellent research results in the fields of machine learning and robotics, at all levels. Successful candidates will have both excellent fundamentals and excellent implementation skills, with a record of both system-building and fundamental conceptual, algorithmic, or theoretical advances. We welcome applications from both academic researchers and researchers with unconventional backgrounds. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Sr. Recruiter, Strategy & Operations San Mateo, CA United States Who We Are Verkada is transforming how organizations protect their people and places with an integrated, privacy-sensitive AI-powered platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management. We've got serious momentum in the market: more than 30,000 customers (including 100+ of the Fortune 500), a $5.8B valuation , more than $1 billion in annualized bookings, and backing from CapitalG, Sequoia Capital, General Catalyst, Felicis Ventures, Next47 and more. Physical AI is one of the most consequential technology shifts of our time, and Verkada is at the center of it. You can look at all kinds of communities to see our platform's impact in the world. It's the retailer that uses our agentic AI to deter theft before it happens. The warehouse that uses AI-powered alerts to make sure its team is protected on the floor with proper PPE. The school that's alerted to a threat in real-time and triggers a lockdown in seconds, not minutes. We're rapidly scaling this impact: today, more than 2 million Verkada devices are deployed across 170+ countries. About the Role Verkada prides itself on maintaining a high hiring bar while bringing in diverse and unconventional backgrounds of driven individuals obsessed with their craft. As a Sr. Recruiter, you will partner with our Sales Strategy & Operations leaders to recruit passionate, driven talent to join our world-class organization. You will have high visibility and a direct impact on

Sr. Recruiter - Marketing San Mateo, CA United States Who We Are Verkada is transforming how organizations protect their people and places with an integrated, privacy-sensitive AI-powered platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management. We've got serious momentum in the market: more than 30,000 customers (including 100+ of the Fortune 500), a $5.8B valuation , more than $1 billion in annualized bookings, and backing from CapitalG, Sequoia Capital, General Catalyst, Felicis Ventures, Next47 and more. Physical AI is one of the most consequential technology shifts of our time, and Verkada is at the center of it. You can look at all kinds of communities to see our platform's impact in the world. It's the retailer that uses our agentic AI to deter theft before it happens. The warehouse that uses AI-powered alerts to make sure its team is protected on the floor with proper PPE. The school that's alerted to a threat in real-time and triggers a lockdown in seconds, not minutes. We're rapidly scaling this impact: today, more than 2 million Verkada devices are deployed across 170+ countries. About the Role Verkada prides itself on maintaining a high hiring bar while bringing in diverse and unconventional backgrounds of driven individuals obsessed with their craft. As our Senior Recruiter, you will partner with our Marketing leaders to recruit passionate, driven talent to join our world-class marketing organization. You will have high visibility and a direct impact on marketing recruiting for