Software Engineer at NBCUniversal | New York

Schmidt Sciences is a pioneering nonprofit organization established in 2024 by Eric and Wendy Schmidt, dedicated to propelling scientific knowledge and breakthroughs through cutting-edge tools aimed at fostering a sustainable planet. The organization emphasizes impactful research across diverse fields including AI and advanced computing, astrophysics, biosciences, climate science, and space, while also supporting researchers through its comprehensive science systems program.About the AI & Advanced Computing Institute (AI Institute) The AI Institute at Schmidt Sciences is a dynamic research and grantmaking entity that recognizes AI as a pivotal catalyst for scientific discovery and societal advancement. Our mission over the next decade is to empower key researchers who will develop AI systems that are competent, trustworthy, and reliable, enabling fruitful collaborations with human scientists to foster the next generation of discoveries. We are committed to investing in beneficial AI initiatives where our philanthropic efforts can create unique advantages, thereby establishing a robust infrastructure for AI-enabled discoveries. The AI Institute focuses on three primary areas: AI for Science – Enhancing scientific methodologies through AI, optimizing hypothesis generation, experiment conduction, data analysis, and knowledge creation to expedite the discovery process. Current exploratory projects include advancements in post-transistor hardware for AI and AI-enhanced scientific simulations.Science of AI – Investigating and managing AI systems to mitigate risks associated with advanced AI. Our efforts aim to boost AI reliability and performance in areas lacking commercial interest, with ongoing programs like AI2050 and the Science of Trustworthy AI, alongside exploratory programs focusing on AI interpretability and the evolution of multi-agent communication.Beneficial AI – Laying scientific foundations and curating datasets to understand AI's broader human impacts. This encompasses impactful grantmaking initiatives, such as the Humanities and AI Virtual Institute, which aims to leverage AI for advancements in humanities research, and the AI@Work program that quantifies AI's influence on the labor market. Schmidt Sciences encompasses various programs associated with the AI Institute, including the Virtual Institute for Scientific Software (VISS), aimed at enhancing scientific software capabilities.

Schmidt Sciences is a nonprofit organization established in 2024 by Eric and Wendy Schmidt, dedicated to accelerating scientific advancements and breakthroughs using cutting-edge tools to promote a sustainable planet. The organization emphasizes research in impactful fields such as AI and advanced computing, astrophysics, biosciences, climate science, and space exploration while also supporting a diverse array of researchers through its science systems program.About the AI & Advanced Computing Institute (“AI Institute”) The AI Institute at Schmidt Sciences operates as a grantmaking and research entity that recognizes AI as a pivotal driver for scientific discovery and societal advancement. Over the upcoming decade, we aim to empower leading researchers focused on enhancing AI systems to be competent, trustworthy, and reliable partners for scientists in groundbreaking discoveries. Our investments will target beneficial AI domains where philanthropy can make a significant difference. By fostering enabling infrastructure, fundamental research, and specialized scientific programs, the AI and Advanced Computing Institute will cultivate an environment where AI-enabled discoveries can thrive. The AI Institute currently concentrates on three core areas:AI for Science – Utilizing AI to enhance the scientific process, including hypothesis generation, experimental execution, data analysis, and knowledge production, all aimed at accelerating discovery. Key initiatives include exploring post-transistor hardware for AI and AI applications in scientific simulation.Science of AI – Investigating and managing AI systems to address potential risks associated with advanced AI. This includes improving AI reliability and performance in less commercially viable areas. Current programs comprise AI2050 and Science of Trustworthy AI, with explorations into AI interpretability and multi-agent communication evolution.Beneficial AI – Establishing scientific foundations and datasets to comprehend the broader societal impacts of AI. This encompasses high-impact grantmaking initiatives, such as leveraging AI to expedite humanities research (Humanities and AI Virtual Institute) and assessing AI's impact on the labor market (AI@Work). These initiatives are interconnected with other Schmidt Sciences efforts, like the Virtual Institute for Scientific Software (VISS), which aims to enhance the pace of scientific discovery through the development and support of high-quality, community-focused scientific software.

Join Schmidt Entities as a Senior Engineer, where you will play a pivotal role in driving innovative engineering solutions. As an integral part of our team, you will leverage your expertise to tackle challenging projects, ensuring that our clients receive top-notch service and results. Your contributions will directly impact our growth and success in the industry.

Schmidt Sciences is a nonprofit organization established in 2024 by Eric and Wendy Schmidt with a mission to expedite scientific knowledge and breakthroughs through the application of innovative tools aimed at fostering a sustainable planet. The organization emphasizes impactful research in fields such as AI and advanced computing, astrophysics, biosciences, climate science, and space, while also supporting diverse researchers across various disciplines via its science systems program.About the AI & Advanced Computing Institute ("AI Institute")The AI Institute at Schmidt Sciences functions as a grantmaking and research entity that recognizes AI as a revolutionary catalyst for scientific discovery and societal advancement. Over the coming decade, we aspire to support leading researchers committed to developing AI systems that are not only competent and trustworthy but also capable of collaborating effectively with human scientists in driving the next wave of breakthroughs. Additionally, we will engage in select, strategic investments in beneficial AI sectors where philanthropic efforts can provide distinct advantages. By enhancing the necessary infrastructure, foundational research, and specialized programs within scientific disciplines, the AI and Advanced Computing Institute will cultivate the conditions required for AI-fueled discoveries to reach their full potential.The AI Institute currently focuses on three pivotal areas:AI for Science – leveraging AI to enhance hypothesis generation, experiment execution, data analysis, and knowledge creation, all aimed at accelerating the discovery process. Exploratory initiatives encompass post-transistor hardware for AI and AI applications in scientific simulations.Science of AI – investigating and managing AI systems to mitigate potential risks associated with advanced AI technologies. This area focuses on enhancing AI's reliability and performance in sectors with limited commercial appeal. Existing programs include AI2050 and the Science of Trustworthy AI. Emerging projects address topics like AI interpretability and the evolution of multi-agent communication.Beneficial AI – establishing scientific foundations and datasets to better understand the broader human implications of AI. This includes significant grantmaking initiatives such as our programs aimed at utilizing AI to accelerate humanities research (Humanities and AI Virtual Institute) and quantifying AI's impact on the labor market (AI@Work).

Role Overview Sigma Computing builds a high-performance platform that integrates with modern data architectures. As the team grows in New York City, the company seeks a Senior Fullstack Software Engineer who enjoys solving complex technical problems and shaping features that make data accessible for a wide range of users. The engineering group values collaboration and a shared mission to improve how organizations use data. What You Will Do Work on challenging problems to deliver an interactive, high-performance analytics experience on top of modern data warehouses. Develop software using tools and languages such as Rust, Go, GraphQL, TypeScript, and Slate. Create new algorithms and techniques to improve performance and interactivity for analytics and workflow solutions, supporting some of the largest enterprises. Diagnose and resolve product or system issues by analyzing, tracking, and debugging problems. Design and implement new features to meet the needs of a growing user base. Collaborate with teams across infrastructure, design, product management, customer support, sales, and marketing to build new product capabilities.

About the Role Sigma Computing builds a high-performance platform designed for modern data architecture. As the team grows in New York City, the company is looking for engineers who enjoy solving complex problems and want to help make data accessible to everyone. The engineering group values collaboration and a focus on delivering solutions that matter across the technology stack. What You Will Do Take on challenging problems to create interactive experiences for data exploration and analysis within data warehouses. Work with technologies including Rust, Go, GraphQL, Node, and Kubernetes. Build backend distributed services, develop algorithms, and design APIs that power Sigma Computing's cloud applications. Investigate and resolve product or system issues by diagnosing root causes and debugging as needed. Design and implement new features to support a rapidly expanding user base. Participate in design and code reviews with peers and stakeholders to maintain high engineering standards and best practices.

Join Normal Computing – Where Innovation Meets OpportunityThe Normal team is at the forefront of building foundational software and hardware solutions that propel technology forward, serving critical sectors such as the semiconductor industry and AI infrastructure. Our collaborative efforts span across major cities including New York, San Francisco, Copenhagen, Seoul, and London.Your Contribution to Our Vision:As a Software Engineer specializing in backend product engineering within Normal EDA, your primary responsibility will be developing systems and workflows that empower hardware engineers in the creation and verification of chips vital to modern AI technologies. Experience in the semiconductor or hardware sectors is advantageous but not mandatory.In this role, you will encounter complex technical challenges at the convergence of AI and product engineering. You will be tasked with designing solutions and implementing incremental improvements to deliver new features effectively. You will take ownership of APIs and schemas that are crucial for core product functionalities, collaborating closely with fellow engineers to enhance these systems.We are seeking engineers who are enthusiastic about tackling real-world challenges in intricate technical domains and creating systems that enable users to maximize their productivity. If you are driven to design reliable, high-performance systems and craft intuitive user experiences for AI-driven workflows, this position offers a unique opportunity to make a significant impact in the industry.

Position Summary We are looking for a dedicated Computational Biologist who is eager to leverage data-driven, scalable methodologies to uncover biological insights. The perfect candidate will be an innovative thinker with robust computational and quantitative skill sets, capable of collaborating seamlessly with both experimental and computational scientists. In this role, you will design, implement, and enhance computational pipelines tailored for single-cell perturbation datasets, while also playing a key role in model development and experimental design. This represents a unique opportunity to join a vibrant, interdisciplinary team and significantly influence Neptune Bio’s computational strategy and infrastructure.

Role overview The Trade Desk seeks a Senior Software Engineer in High Performance Computing to join the Rates & Fees Team in New York. The focus is on designing and building software that sharpens pricing models and boosts system performance for the digital advertising platform. What you will do Create software solutions that enable scalable and efficient pricing models. Apply advanced technologies to improve system performance and reliability. Work closely with data scientists and product managers to solve complex technical problems. Take part in projects that shape the company's standing in the digital advertising space. Team and collaboration This role sits within a team that emphasizes teamwork and open communication. Engineers, data scientists, and product managers partner to deliver software that addresses business needs and drives measurable outcomes.

Join The New York Times as a Software Engineer in our Scoop Core team, where you will collaborate with talented developers to design and implement innovative solutions that enhance our digital platforms. You will play a critical role in shaping the future of journalism through technology, ensuring our content reaches millions of readers effectively and efficiently.

Role overview The Senior Software Engineer at the City of New York will work on software that helps city departments deliver better services. The focus is on building and refining technology that supports municipal operations, aiming to make them more efficient and responsive. What you will do Design and develop software to support and enhance services provided by the city Work closely with colleagues who are committed to improving public service Use technical skills to address challenges faced by city operations Location This position is located in New York, NY.

Schmidt Sciences is a pioneering nonprofit organization established in 2024 by Eric and Wendy Schmidt, dedicated to advancing scientific knowledge and breakthroughs through cutting-edge tools aimed at fostering a sustainable planet. Our focus includes impactful research in AI, advanced computing, astrophysics, biosciences, climate, and space, along with support for researchers across diverse disciplines via our science systems program.Position OverviewSchmidt Sciences is excited to invite recent PhD graduates in AI and computer science to engage in a 12-18 month fellows-in-residence program. Reporting to the Director of the AI Institute, fellows will dedicate their time to both supporting the AI Institute (including the exploration of new grantmaking initiatives) and undertaking specific research projects that align with the Institute's strategic objectives. Up to four fellows will be selected for hire in 2026, with applications being reviewed on a rolling basis.We are particularly interested in candidates with expertise in the following areas:- AI agent interoperability and emerging communication within multi-agent systems- AI applications in scientific discovery- Hardware-enabled verification of AI agreements- The influence of AI on the labor market- Research in trustworthy AI and alignment- Note: The AI Institute's research priorities will evolve with the growth of the Institute and the rapid advances in AI technologies, so future cohorts may focus on different areas.

Schmidt Sciences is a forward-thinking nonprofit organization founded in 2024 by Eric and Wendy Schmidt, dedicated to advancing scientific knowledge and fostering breakthroughs with innovative tools aimed at ensuring a sustainable planet. Our primary focus is on impactful research in key areas, including artificial intelligence (AI) and advanced computing, astrophysics, biosciences, climate science, and space exploration, while also supporting researchers across various disciplines through our science systems program.About the AI & Advanced Computing Institute (“AI Institute”) The AI Center at Schmidt Sciences is a pioneering grantmaking and research entity that recognizes AI as a transformative driver of scientific discovery and societal advancement. Our objective over the next decade is to empower key researchers dedicated to enhancing the competency, trustworthiness, and reliability of AI systems, enabling them to collaborate effectively with human scientists in groundbreaking discoveries. Additionally, we intend to strategically invest in beneficial AI sectors where philanthropy can create unique advantages. By bolstering essential infrastructure, foundational research, and targeted programs across scientific disciplines, the AI and Advanced Computing Center aims to facilitate the conditions necessary for AI-enabled discoveries to fulfill their potential. The AI Center focuses on three primary areas: 1. AI for Science – leveraging AI to enhance how scientists formulate hypotheses, conduct experiments, analyze data, and generate new knowledge, specifically accelerating the discovery process. 2. Science of AI – exploring and managing AI systems to mitigate risks associated with advanced AI, while improving reliability and performance in areas often neglected by commercial interests. Current initiatives include AI2050 and the Science of Trustworthy AI. 3. Beneficial AI – establishing scientific foundations and datasets to understand the broader human impacts of AI, including high-impact grantmaking programs aimed at utilizing AI to accelerate research in the humanities and assessing AI's effects on the labor market.

About UsAt Maybern, we are revolutionizing the private fund management industry through innovative technology. Founded by leading engineering professionals with extensive expertise in fund management, we are committed to providing exceptional solutions for private fund CFOs.The private funds sector currently oversees $15 trillion in assets and is expanding at a remarkable 20% annually. As regulatory requirements tighten and investors demand greater transparency, the need for top-tier software has never been more critical. This is where Maybern steps in.We empower fund managers with intuitive and adaptable software, enabling them to concentrate on maximizing returns for their investors. Supported by prominent venture capital firms and a robust network of strategic investors, our team is dedicated to excellence.Located in New York City, Maybern fosters a vibrant in-office culture that encourages collaboration, and we are eager to welcome talented individuals to our growing team.

Role Overview Sigma Computing is building the next generation of data interaction. The platform lets users explore billions of data rows in seconds, work with data in a familiar spreadsheet-like interface, and build visualizations, applications, and workflows. Sigma is now expanding these capabilities with AI to help users create, discover insights, and make decisions faster. The Senior AI/ML Engineer will join a team focused on developing the AI infrastructure that shapes Sigma’s future. Work here directly impacts how enterprises use Sigma in their daily operations. Location This position is based in New York City, NY.

Hybrid: 3 days per week (Tuesday-Thursday) at NYC Global HQAbout UsAt DoubleVerify, we pride ourselves on being the foremost independent provider of marketing measurement software, data, and analytics. Our mission is to ensure the quality and effectiveness of digital media for some of the largest brands and media platforms globally. Since our inception in 2008, we have empowered numerous Fortune 500 companies to optimize their media investments through innovative solutions that enhance transparency and accountability across the digital landscape. Discover more about us at www.doubleverify.com.As a Software Engineer Intern, you will collaborate with DoubleVerify’s dynamic Engineering and Product teams to develop mission-critical systems capable of processing billions of real-time transactions daily. You will engage in solving complex challenges associated with Big Data processing and analytics at scale.

Transforming Authorization for a $25B+ MarketIn today's technology landscape, companies like AWS, Stripe, and Twilio have demonstrated that non-core technologies can be effectively outsourced. However, authorization remains a critical component consistently rebuilt by engineering teams. At Oso, we aim to revolutionize this process.Imagine a world where developers never have to create their own authorization solutions again, simply saying, "Just use Oso," much like how they recommend using Postgres. We're on a mission to capture the burgeoning $25B+ market for authorization.Why Join Oso?We are leading the charge with significant traction, strong capital backing, and a talented team.Traction: Oso is trusted by thousands of organizations, from startups to Fortune 500 giants like Wayfair, ProductBoard, Vanta, Brex, Verizon, ZoomInfo, and Duolingo.Capital: Our growth is supported by top-tier investors, including Sequoia and Felicis, along with a remarkable group of infrastructure founders and operators.Team: Our expertise spans over five years, engaging with countless engineering teams to understand their needs better than anyone else. We boast two of the best developer go-to-market leaders from MongoDB and Snyk.Why Now?We are at a pivotal moment in our journey. Transitioning to a future where developers say, “Just use Oso” requires innovative thinking and expertise, and we’re looking for you to be a part of that transformation.Your RoleDesign, experiment, and build user interfaces, features, and abstractions that simplify the workload for our users, enhancing the developer experience.Extend the range of use cases for our core authorization service.Construct and maintain infrastructure for our highly available, low-latency cloud service.Additionally, contribute to building our community by taking on tasks such as:Creating documentation and blog posts to engage and assist new users.Collaborating on cross-functional projects to enhance our product.

About Valon Valon builds an AI-native operating system for regulated finance, starting with mortgage servicing. As a Series C company backed by a16z, Valon manages its own mortgage servicing business, overseeing more than $110 billion in loans. This direct experience has shaped how the team approaches software for complex, regulated industries. Valon has turned a sector known for low margins into one with over 60% profitability, while also improving customer satisfaction. The company’s enterprise solutions are now used across the industry. ValonOS, the core platform, structures every process for the AI era, making operations programmable and data-rich. AI agents automate and refine workflows, supporting Valon’s broader mission to modernize regulated industries beyond mortgages. Engineering at Valon The engineering team focuses on rebuilding the mortgage industry’s core systems. The platform is designed to manage billions in assets at scale, with a foundation built for flexibility and growth. Engineers at Valon work alongside colleagues from Stripe, Jane Street, Meta, Google, and other leading companies. The team values autonomy, rapid learning, and measurable impact on the business. Valon fosters a supportive environment where engineers can do their best work, tackle complex problems, and collaborate closely. The company encourages ownership and initiative, giving engineers room to shape both technology and outcomes. Technology Stack Python React Docker Kubernetes Google Cloud Platform Location and Work Options Valon is headquartered in New York City, with a new office opening in San Francisco. Remote work is fully supported.

About Maybern Maybern builds software for private fund managers, helping them oversee investments more efficiently. The company focuses on transparency and compliance within a sector managing $15 trillion in assets and growing at 20% each year. Backed by leading venture capital firms and strategic investors, Maybern aims to make fund management simpler and more effective. The team brings deep experience from the fund management and technology worlds. Maybern’s platform is designed to be flexible and easy to use, so fund managers can focus on maximizing returns for investors. Based in New York City, Maybern values in-person collaboration and a strong office culture. The company is growing and looking for new team members to join its New York office.