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. This control optimizes for energy use, equipment longevity, and occupant comfort levels in real time for the system’s lifetime. Autonomous control lays the foundation for decarbonization at scale and enables truly smart, connected cities.

PassiveLogic

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As a Cloud Software Engineer, you will design, build, and maintain the backend infrastructure for the AI platform, developing APIs, distributed systems, and data tools. You will also architect secure systems, maintain cloud infrastructure, and collaborate in agile teams. This role requires designing scalable backend services and participating in an iterative development environment to transform energy consumption using technology.

HVAC Systems Applications Engineer

Cloud EngineerAre you passionate about building cloud-native systems? Do you love designing scalable, secure backend infrastructure for next-generation technologies? PassiveLogic is looking for a Cloud Software Engineer to help build the autonomous platform powering tomorrow’s buildings.About PassiveLogic®PassiveLogic 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 real-world solutions.We are looking for team members who have a passion for technology and want to work on cutting-edge problems with real-world solutions. Our culture is built on bringing together the most talented engineers, thinkers, and creatives—backed by the world’s leading investors—working together to make the future 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 our Cloud Software Engineer, you’ll design, build, and maintain the backend infrastructure behind our AI platform that is transforming how the world consumes energy.What you’ll doDesign and implement scalable backend services: Develop APIs, distributed systems,&nbsp;data collection and aggregation tools that power our autonomous platform.Architect robust and secure systems: Collaborate with cross-functional teams to design cloud-native architectures focused on performance, observability, and security.Maintain and monitor infrastructure: Support reliable cloud infrastructure using tools like Terraform, and ensure uptime and system health across deployments.Prototype and launch cloud features: Drive the rapid development of backend features that integrate into our building automation stack.Collaborate in agile teams: Work with product, design, and engineering teams in a fast-paced, iterative development environment.Advocate for engineering excellence: Champion clean code, SOLID principles, and best practices in software development. Build with a focus on security, observability, and scalability.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>3+ years of backend software development in a professional setting. </li> <li> B.S. in Computer Science or a related field.</li> <li> Experience developing backend web services (any language; Swift, Go, Rust, etc. are a plus)</li> <li>Exposure to infrastructure-as-code or cloud provisioning (Terraform, AWS, GCP, etc.)</li> <li> Working knowledge of databases (PostgreSQL, MySQL, etc.) and SQL.</li> <li>Comfort instrumenting and monitoring production systems.</li> </ul><li>Exceptional communication skills: Strong written and verbal ability to collaborate cross-functionally.</li> <li>Organized and strategic: Experience in managing complex backend systems and deploying scalable solutions.</li> <li>Collaborative mindset: Enthusiastic about working in a team-focused environment to shape system design.</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>Deep interest in technology: Keen on distributed systems, autonomous platforms, and scalable cloud infrastructure. Self-motivation, a passion for technology, and a strong drive for results and continuous improvement.</li> <li>Natural love of backend systems: Curious about how data flows from devices to insights.</li> <li>Experience managing cloud deployments: Familiar with AWS, Kubernetes, Helm, or Terraform.</li> </ul>It’s helpful to have<ul> <li>Experience with: Server-side Swift (e.g., Vapor) </li> <li>Experience with: GitLab pipelines or similar CI/CD systems.</li> <li>Knowledge of: PostgreSQL tuning or schema design.</li> <li>Previous experience with: Deploying production applications in GCP or AWS environments.</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> <li>Onsite Gym</li> </ul>A Note on Working Onsite:This role is based in our Salt Lake City headquarters. We believe that creativity and cohesion flows best when we are all together. When you’re constantly innovating, transforming whole industries, inventing new products and processes, and creating a more sustainable future through technology—and we are doing all these things—we believe we’re better as a team in-person. That’s why all of our teams work from one of our office locations, five days a week.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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As a Machine Learning Engineer in a growing generative AI-focused team at Autodesk, you will play a leading role in the translation of applied research into new capabilities. You will collaborate with research, product, and production teams to implement state-of-the-art generative AI algorithms into products at scale. You will be responsible for translating research into products, prototyping ideas, collaborating with a global team, implementing training pipelines, processing data, and analyzing errors. The role is based in Berlin, Germany and involves working in a dynamic environment within the AI unit of Autodesk Construction Solutions.

Autodesk is changing how the world is designed and made. Our technology spans architecture, engineering, construction, product design, manufacturing, media, and entertainment, empowering innovators everywhere to solve challenges big and small. From greener buildings to smarter products to more mesmerizing blockbusters, Autodesk software helps our customers to design and make a better world for all. Over 100 million people use Autodesk software like AutoCAD, Revit, Maya, 3ds Max, Fusion 360, SketchBook, and more to unlock their creativity and solve important design, business and environmental challenges. Our software runs on both personal computers and mobile devices and taps the infinite computing power of the cloud to help teams around the world collaborate, design, simulate and fabricate their ideas in 3D. We provide exceptional compensation/benefit packages and we’d love for you to join us. We’re proud to be an equal opportunity employer and we consider all qualiﬁed applicants without regard to race, gender, disability, veteran status or other protected category. To see our culture in action, check out #AutodeskLife. We are headquartered in the San Francisco Bay Area and have more than 10,000 employees worldwide.

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You are comfortable serving as a translator and straddling the gap between research &amp; development.While the location of this role is flexible, we prefer to have our engineers close to the teams in Berlin, Germany.&nbsp;Our Berlin office offers a dynamic and innovative working environment, providing an attractive space for creativity and collaboration within the AI unit of Autodesk Construction Solutions (ACX).&nbsp;Autodesk is a flexible hybrid-first company, allowing workers to work remotely, in an office, or a mix of both.You will be reporting to a Sr Manager, Machine Learning Engineering.Responsibilities<ul><li>Translate CV/ML/computer graphics research into concept design-oriented products</li><li>Understand and prototype ideas from research papers</li><li>Collaborate on projects with a diverse, global team of researchers and engineers</li><li>Support research productization through the construction of experimental pipelines, prototypes, and reusable code</li><li>Implement scalable machine learning training pipelines</li><li>Process data and analyze feature extractions</li><li>Model training and hyperparameter tuning</li><li>Analyze errors and provide solutions to problems</li></ul>Minimum Qualifications<ul><li>MSc or PhD in Computer Science, or equivalent industry experience</li><li>+3 years of experience with deep learning and generative models</li><li>Experience with version controlling, reproducibility, and deploying machine learning models</li><li>Strong data modelling and data architecture skills</li><li>Experience with cloud services &amp; architectures (AWS, Azure, etc.)</li><li>Proficiency with modern deep learning libraries and frameworks</li><li>Proficiency in coordinating, provisioning, and maintaining systems and compute infrastructure</li><li>Strong problem-solving and troubleshooting skills</li><li>Excellent communication and collaboration abilities</li></ul>Preferred Qualifications<ul><li>Experience with 3D deep learning</li><li>Experience in handling 3D data formats, including mesh analysis and visualization</li><li>Experience with training &amp; optimizing Generative Adversarial Networks (GANs), Denoising Diffusion Models, Neural Radiance Fields (NeRFs), etc</li><li>Experience scaling ML training pipelines</li><li>Experience or interest in computational geometry and geometric methods, multi-modal deep learning and/or information retrieval</li><li>Knowledge of the design, manufacturing, AEC, or media &amp; entertainment industries</li><li>Experience with Autodesk products, including Alias, or similar products (CAD, CAE, CAM, etc.)</li><li>Publications at relevant conferences &amp; journals (e.g., NeurIPS, SIGGRAPH, CVPR, ICCV, ECCV)</li></ul>The Ideal Candidate<ul><li>A Software Engineer with experience building and training robust machine learning systems</li><li>Familiar with implementing experimental pipelines and prototyping AI applications</li><li>Comfortable building prototypes from scratch and writing maintainable code within existing codebases</li><li>A curious, creative problem-solver who is excited to learn &amp; develop new technologies</li><li>A fast learner &amp; excellent communicator who can effectively collaborate across global locations</li></ul>#AC-1</div>Learn MoreAbout Autodesk Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.We take great pride in our culture here at Autodesk – our Culture Code is at the core of everything we do. Our values and ways of working help our people thrive and realize their potential, which leads to even better outcomes for our customers.When you’re an Autodesker, you can be your whole, authentic self and do meaningful work that helps build a better future for all. Ready to shape the world and your future? Join us!Salary transparencySalary is one part of Autodesk’s competitive compensation package. Offers are based on the candidate’s experience and geographic location. In addition to base salaries, we also have a significant emphasis on discretionary annual cash bonuses, commissions for sales roles, stock or long-term incentive cash grants, and a comprehensive benefits package.Diversity &amp; Belonging We take pride in cultivating a culture of belonging and an equitable workplace where everyone can thrive. Learn more here: <a href="https://nam11.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.autodesk.com%2Fcompany%2Fdiversity-and-belonging&amp;data=05%7C01%7Canjana.preethi%40autodesk.com%7C7e468118978f4994078f08db772d3f46%7C67bff79e7f914433a8e5c9252d2ddc1d%7C0%7C0%7C638234808438788331%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&amp;sdata=dVD8soPEN9XLo990FmFqIU6owiEQ7ceXdn%2B13VuFUyE%3D&amp;reserved=0" target="_blank" rel="noopener noreferrer">https://www.autodesk.com/company/diversity-and-belonging</a>Are you an existing contractor or consultant with Autodesk? 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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.