PassiveLogic enables autonomy for controlled systems and unlocks collaboration between teams to manage those systems. PassiveLogic has reimagined how we design, build, operate, maintain, and manage infrastructural robots, whose current technology has remained unchanged for decades. By using revolutionary physics-based Quantum digital twins and leveraging the world’s fastest AI compiler to simulate future-forward controls, PassiveLogic empowers users to easily create their own generative digital twins in minutes to launch autonomous control.

Passive Logic

Weather Simulation Engineer

AI Control Theory & Optimization Scientist

Computational Physics Software Engineer

Senior Electrical Engineer

Senior Embedded Systems Engineer

Technical Engineering Program Manager

Technical Project Manager

As a Weather Simulation Engineer, you'll develop advanced weather simulation models integrating with PassiveLogic's Digital Twin platform.  Responsibilities include designing, implementing, and optimizing weather simulation models; providing weather prediction with varying data access; developing an autonomous agent for data fusion and model learning; integrating simulations into digital twins; developing object model interfaces; analyzing weather data and validating results; optimizing algorithms; and creating thorough documentation.  The role requires expertise in meteorology, data science, and simulation techniques.

<div class="mx-auto max-w-[750px] prose font-company-body overflow-hidden break-words [&amp;_ol_li_li]:list-[lower-alpha]" data-controller="careersite--responsive-video">
 Weather Simulation EngineerDo you have an innate interest in leveraging your weather/meteorological simulation background to build true, physics-based digital twins? PassiveLogic is looking for a highly motivated and dedicated candidate who wants to learn from the best and stretch their skills. About PassiveLogicPassiveLogic is the first fully autonomous platform for buildings. We’ve reinvented the fundamental principles of automation to democratize technology, optimize buildings, and reduce the world’s carbon footprint. We are a team of technologists, engineers, and creatives dedicated to making a sustainable impact through deployable solutions.We are looking for team members who have a passion for technology and who want to work on cutting-edge problems with real-world applications. Our culture is built on empowering people through generative autonomy to solve the world’s largest climate challenges. Backed by the world’s leading investors, our team works daily to make the future of smart cities a reality. About the RoleThis is a career-defining opportunity to play a crucial role in a hyper-scale AI company that is transforming the future of autonomous systems, energy, and the built environment. As a Weather Simulation Engineer on the Computational Physics team at PassiveLogic, you will play a pivotal role in developing advanced weather simulation models that integrate with our Digital Twin platform. You will be responsible for creating accurate and high-fidelity weather simulations to enable precise analysis and optimization of building systems. The ideal candidate will have a strong background in meteorology, data science, and simulation techniques, along with a passion for pushing the boundaries of technology.What you’ll do<ul>
<li>
Climate modeling: Design, implement, and optimize weather simulation, meteorological, and microclimate models.</li>
<li>
Weather prediction: Provide weather prediction with contexts ranging from having an internet connection with forecast API access to no internet connection and only using locally observable information to forecast weather.</li>
<li>
Autonomous agents: Develop an autonomous agent that combines data fusion with continuous model learning to enhance prediction accuracy.</li>
<li>
Digital twin integration: Integrate weather simulation into PassiveLogic’s digital twins and control path predictor platform.</li>
<li>
Object modeling: Develop an interface with the object model through Object Relational Mapping.</li>
<li>
Data analysis: Analyze historical and real-time weather data and validate simulation results.</li>
<li>
Optimization: Continuously optimize simulation algorithms for performance and scalability.</li>
<li>
Documentation: Create thorough and clear documentation for weather simulation models, algorithms, and integration processes.</li>
</ul>What you’ll bringIf your experience does not meet all our posted requirements below, we’d still love to hear from you. We are looking for practitioners who are passionate about understanding people, committed to lifelong learning, and driven by the love of what they do. If that’s you, please apply!You must have<ul>
<li>
Proven experience: </li>
<ul>
<li>MS or Ph.D. in Meteorology, Atmospheric Science, Physics, Computer Science, Applied Math, or a related field.</li>
<li>You have developed and implemented weather simulation models from physics-based numerical models to AI and hybrid techniques.</li>
<li>Strong programming skills, with proficiency in languages such as Swift, Python, Java, or C++.</li>
</ul>
<li>
Exceptional communication skills: Excellent interpersonal skills and a team-oriented mindset. </li>
<li>
Organized and strategic: Strong analytical and problem-solving skills. </li>
<li>
Collaborative mindset: Open to feedback and committed to a continuous improvement process.</li>
<li>
Adaptability: Comfortable in a fast-paced startup environment, eager to learn, iterate, and innovate.</li>
<li>
Problem solving: You own this role. When issues arise, be the empowered force that solves them, rolling-up.</li>
</ul>You should have<ul>
<li>
Meteorology and data science expertise: Strong background in meteorology, data science, and simulation techniques.</li>
<li>
High-performance computing experience: Experience in high-performance computing.</li>
<li>
Mathematical proficiency: Strong math, numerical methods, and analysis skills.</li>
</ul>It’s helpful to have<ul>
<li>
Startup experience: Experience in fast-paced startup environments.</li>
<li>
Autonomous systems expertise: Experience in designing, simulating, or deploying autonomous systems.</li>
<li>
Swift programming proficiency: Practical experience with the Swift programming language.</li>
<li>
Auto-differentiation skills: Experience with auto-differentiation and differentiable programming.</li>
<li>
Sustainability and technology interest: Interest in sustainability, machine learning, energy systems, or mechanical-electrical control.</li>
</ul>We know there are candidates who might not fit everything we’ve described above, or who might have experience and skills we haven’t considered. PassiveLogic can sometimes be flexible enough to shift responsibilities to the right person, or otherwise identify open or upcoming roles that may better fit your professional background. Even if you don’t meet all the requirements above, we still want to hear from you.Compensation, Benefits &amp; Perks:<ul>
<li>Competitive compensation</li>
<li>Generous equity share package</li>
<li>Medical, dental and vision coverage</li>
<li>Disability and Life Insurance options</li>
<li>Flex PTO</li>
<li>Team-building events</li>
<li>Free catered lunch in the office Monday - Friday</li>
<li>Free ski pass (We are at the base of Big Cottonwood Canyon)</li>
<li>Free National Park pass</li>
</ul>When applying, include:<ul>
<li>A cover letter telling us why you're the perfect candidate for PassiveLogic </li>
<li>A resume</li>
<li>
Extra mile — include a description of a project (of any type) you personally created, devised, built, managed, organized, or designed that was of your own self-initiative</li>
</ul>Diversity and inclusion Diversity, inclusion, and belonging is woven into our values and everything we do. We welcome all — come as you are and bring your whole self. We are proud to be an Equal Opportunity Employer. We celebrate diversity every day by maintaining a safe and inclusive environment for our employees at every stage of their careers
 </div>

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The Data and Measurement Account Manager (LCS) role at Google involves managing a portfolio of enterprise clients, fostering strong client and partner relationships, and providing expert advice on data solutions and marketing strategies.  Responsibilities include advising on privacy-preserving data solutions, future-proofing clients' measurement setups, and activating digital transformation projects using technologies like Machine Learning. This role requires fluent Hebrew communication for direct client interaction and a strong understanding of digital media, data management, and Google's advertising platforms (Google Ads, Search Ads 360, Display & Video 360). The ideal candidate will possess advanced analytical skills and experience in data integration and attribution strategies.

Check out our career opportunities at goo.gle/3DLEokh

Data Engineer, Google Trust and Safety

<div jscontroller="iYVHDc" class="DkhPwc" jsname="tIk9qd" data-id="122758719439020742" jsaction="A6AxKc:CXOOvf;"><div class="KwJkGe"><h3>Minimum qualifications:</h3><ul>
<li>Bachelor's degree or equivalent practical experience.</li>
<li>5 years of experience in digital media, sales, marketing, or product roles.</li>
<li>2 years of experience in data management or its integration into media buys.</li>
<li>Ability to communicate in Hebrew fluently in order to interact in this customer-facing sales role.</li>
</ul> <h3>Preferred qualifications:</h3><ul>
<li>Experience in advanced data analysis and web analytics/SEO, or digital advertising such as programmatic media and advanced search marketing.</li>
<li>Experience in data integration and media/attribution strategy.</li>
<li>Experience in business development, client relationships.</li>
<li>Knowledge of Google Media Platforms, including Google Ads, Search Ads 360, and Display and Video 360.</li>
<li>Excellent client-service and problem-solving skills.</li>
</ul></div><div class="aG5W3"><h3>About the job</h3>Businesses that partner with Google come in all shapes, sizes and market caps, and no one Google advertising solution works for all. Your knowledge of online media combined with your communication skills and analytical abilities shapes how new and existing businesses grow. Using your relationship-building skills, you provide Google-caliber client service, research and market analysis. You anticipate how decisions are made, persistently explore and uncover the business needs of Google's key clients and understand how our range of product offerings can grow their business. Working with them, you set the vision and the strategy for how their advertising can reach thousands of users.
Our Large Customer Sales teams partner closely with many of the world’s biggest advertisers and agencies to develop digital solutions that build businesses and brands. We enjoy a bird’s eye view on the massive transformation occurring as advertising shifts to mobile and online platforms. We're uniquely situated to help shape how companies grow their businesses in the digital age. We advise clients on Google's broad range of products across search, video and mobile to help them connect instantly and seamlessly with their audiences.</div><div class="BDNOWe"><h3>Responsibilities</h3><ul>
<li>Manage a portfolio of enterprise clients that are advertisers.</li>
<li>Cultivate and own key relationships with clients and partners across problem-solving, data, and marketing.</li>
<li>Advise and support on privacy-preserving customer data solutions and future-proofing customers’ measurement set-up in line with industry evolution on consent, cookies, usability, and tracking transparency.</li>
<li>Activate digital transformation projects to deliver everything from privacy-safe first-party data collection to custom Machine Learning (ML) and predictive analytics.</li>
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