Passive Logic

Weather Simulation Engineer

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Digital Twin AI Framework Engineer

- This assessment gives us an idea of your C++ skills - Companies that evaluate this skillset in interviews: Rockstar Games, Ubisoft, Mayhem Studios, etc. - 10 Multiple Choice questions - Average time to complete: 7 to 10 minutes

Let's assess your Data Structures! 📋 &nbsp;- This assessment gives us an idea of your problem solving skills using DSA - Companies that evaluate this skillset in interviews: MPL, LILA Games, GSN Games, etc. - 10 Multiple Choice questions - Average time to complete: 7 to 10 minutes

Let's assess your Programming Patterns! 📋- This assessment gives us an idea of your code architecture skills - Companies that evaluate this skillset in interviews: Dirtcube, PTW, Playshifu, etc. - 10 Multiple Choice questions - Average time to complete: 7 to 10 minutes

Let's assess your OOPs skills! 📋- This assessment gives us an idea of your fundamental OOPS concepts and Solid principles skills - Companies that evaluate this skillset in interviews: Hitwicket, GSN Games, Tomo Club, etc. - 10 Multiple Choice questions - Average time to complete: 7 to 10 minutes

Let's assess your Unity Skills 📋 - This assessment gives us an idea of your Unity fundamentals - Companies you can apply for after taking this assessment: Godspeed games, Salvation Games, nCore Games, etc. - 9 questions: 9 Multiple Choice - Minimum score needed to qualify: 80% - Average time to complete: 5 to 10 minutes

Wildlife Studios

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Wildlife's Cloud Economics team in São Paulo, Brazil seeks a Data Engineer to build and maintain a data lake, consolidating information from various sources.  Responsibilities include ETL processes, enhancing data discovery, identifying unused data for optimization (sampling, deletion, storage migration), proposing data modeling improvements (table partitioning, migrating to delta tables), and developing a cost allocation data lake for major technology providers.  The ideal candidate is highly analytical, proactive, and results-oriented, contributing directly to company success.  This role demands strong SQL and Python programming skills, AWS experience, and knowledge of Airflow or similar workflow tools.

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 We're looking for a talented and passionate Data Engineer to join Wildlife's Cloud Economics team in São Paulo, Brazil.
The mission of the Cloud Economics team at Wildlife is to have world-class productivity and efficiency across the company by finding and further investigating efficiency opportunities related to the usage and/or provisioning of technology resources.&nbsp;
As a Data Engineer, you will be responsible for gathering all the information needed into the data lake; build and maintain such a lake permanently. You will also play a key role in developing the analyses and algorithms that identify the patterns and type of usage of our data that allow us to find opportunities to improve its usage and storage.
We know that the work we do has a high impact on our company's success and culture. The right person for this position is curious by nature, and comfortable in a "take the initiative" environment, loves solving problems, and can thrive in a fast and growing business.&nbsp;
<h2>What you’ll do</h2>
<ul>
<li>Be part of a high-output team, directly contributing to company results;</li>
<li>Build the required date lakes and do the corresponding ETL in order to be able to consolidate and query information about multiple data sources;</li>
<li>Enhance our data discovery capabilities;</li>
<li>Identify unused data and propose how to handle it (sampling, deletion, move to colder classes of storage);</li>
<li>Find and propose data modeling optimizations across the data lake to avoid inefficiencies like duplicated data, data normalization, data types, etc. (table partitioning, migrating to delta tables);</li>
<li>Develop an internal cost allocation data lake for our most significant technology providers.</li>
</ul>
<h2>What you'll need</h2>
<ul>
<li>University degree in courses related to computing such as Computer Engineering, Computer Science or a related field;</li>
<li>Solid experience working as a data engineer on technically challenging problems;</li>
<li>Proficiency in programming with SQL and Python;</li>
<li>Experience creating data pipelines;</li>
<li>Knowledge and experience with AWS;</li>
<li>Knowledge and experience with Airflow or other workflow management tool is a differential.</li>
</ul>
<h2>More about you</h2>
<ul>
<li>You are a resourceful person with a go-getter attitude;</li>
<li>You are passionate about the data industry and thirsty for innovation;</li>
<li>You are not afraid to propose and explore new initiatives;</li>
<li>You are a determined and metrics oriented engineer who wants to deliver results;</li>
<li>You have an analytic mindset and focus on ensuring visibility to your clients and peers;</li>
<li>You are passionate about working on and solving problems;</li>
<li>You are a team player. You're willing to help out wherever needed.</li>
</ul>
<h2>About Wildlife</h2>
Wildlife is one of the leading mobile game developers and publishers in the world. We have released more than 60 titles, reaching billions of people around the globe. Today, we have offices in Brazil, Finland and the United States. Here, we create games that will excite, intrigue, and engage our players for years to come!
<h2>Equal Opportunity</h2>
Wildlife is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, colour, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local law.
We're committed to providing reasonable accommodations for candidates with disabilities in our recruiting process.

 

 
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This assessment gives us an idea of your C++ skills- Companies that evaluate this skillset in interviews: Rockstar Games, Ubisoft, Mayhem Studios, etc.- 10 Multiple Choice questions- Average time to complete: 7 to 10 minutes

Let's assess your Data Structures! - This assessment gives us an idea of your problem solving skills using DSA- Companies that evaluate this skillset in interviews: MPL, LILA Games, GSN Games, etc.- 10 Multiple Choice questions

Data Structures and Algorithms

Let's assess your Programming Patterns! ????- This assessment gives us an idea of your code architecture skills- Companies that evaluate this skillset in interviews: Dirtcube, PTW, Playshifu, etc.

Programming Patterns

Let's assess your OOPs skills! ????- This assessment gives us an idea of your fundamental OOPS concepts and Solid principles skills- Companies that evaluate this skillset in interviews: Hitwicket, GSN Games, Tomo Club, etc.

Object Oriented Programming

Let's assess your Unity Skills ????- This assessment gives us an idea of your Unity fundamentals- Companies you can apply for after taking this assessment: Godspeed games, Salvation Games, nCore Games, etc.

Unity Game Engine

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.

Autonomous Systems Software Engineer

<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
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