Software Engineer (Windows) Opportunity

About DatologyAIAt DatologyAI, we revolutionize the training of models by addressing the inefficiencies in data usage. Our innovative data curation suite optimally organizes and enhances petabytes of data, ensuring that your training processes are not only faster but also more efficient and cost-effective. Imagine achieving training speeds that are 7-40 times faster while enhancing model performance to levels that feel as if you’ve utilized over 10 times more raw data. Our approach enables smaller models with fewer than half the parameters to outperform their larger counterparts, significantly reducing deployment costs. Explore our latest insights on text models and image-text models.Backed by a total of $57.5M through Seed and Series A funding, our investors include industry leaders such as Felicis Ventures, Radical Ventures, Amplify Partners, Microsoft, and Amazon, along with AI pioneers like Geoff Hinton and Yann LeCun. Our team is at the forefront of research in data optimization, combining expertise in both data science and engineering to simplify data curation for anyone aspiring to train their own models.This position is based in Redwood City, CA, where we embrace a collaborative in-office culture four days a week.

About DatologyAIAt DatologyAI, we believe that the quality of training data directly impacts the performance of AI models. Our innovative data curation suite is designed to optimize vast amounts of data, effectively reducing training time and costs, while enhancing model accuracy. With our cutting-edge technology, we enable models to achieve performance levels comparable to those trained on significantly larger datasets, all without escalating costs. Our recent successes in text models and image-text models reflect our commitment to innovation in machine learning.Backed by $57.5 million in funding from industry leaders such as Felicis Ventures, Radical Ventures, and Microsoft, our team consists of pioneers in data research and engineering. Our mission is to simplify how organizations train their models, making data curation accessible to all.This position is based in Redwood City, CA, where we foster a collaborative in-office culture four days a week.

Location: Redwood City, CA (Hybrid — 3 days/week in office)Our MissionAt Quilt, we are dedicated to transitioning humanity away from fossil fuel heating. An astounding 20% of the U.S. global warming emissions originate from homes, surpassing emissions from cars. The primary contributor to these emissions is the burning of fossil fuels for heating. To combat climate change, over 80 million homes in the U.S. must shift from combustion-based heating to efficient electric heat pumps in the coming decades.We believe that achieving this transition requires exceptional products that are easy to purchase and adopt. Currently, most heat pumps lack intuitive design, underutilize software, and present challenges during adoption. We are developing a next-generation home heating and cooling system that is not only aesthetically pleasing but also optimized by AI, outperforming existing solutions by a factor of ten.The ChallengeWhile AI agents can generate code at speeds 100 times faster than human developers, our primary bottleneck lies in code verification. At Quilt, we create software that operates on physical hardware within homes. A software bug could mean a family is left without heat. Our codebase encompasses embedded C++ for custom devices, cloud infrastructure, and mobile applications. Currently, much of our verification process relies on manual testing methods, such as physically visiting a test bench to execute tests.Our goal is to build a robust development factory that streamlines code verification.We are seeking a talented Software Engineer to lead our developer infrastructure initiatives. This includes developing simulators, test harnesses, CI/CD pipelines, and verification systems that empower our engineering team (and our AI agents) to deploy features quickly and confidently. Your contributions will be pivotal in enhancing the efficiency and reliability of our software development lifecycle.

About DatologyAIAt DatologyAI, we believe that the quality of training data is vital for the performance of AI models. Our innovative data curation suite is designed to automatically optimize petabytes of data, ensuring that your models are trained on the most relevant and effective datasets. By utilizing our curated data, users can experience training times that are 7-40 times faster and enhance model performance as if they had trained on more than 10 times the amount of raw data, all while reducing deployment costs significantly.With $57.5 million raised across two funding rounds, our esteemed investors include Felicis Ventures, Radical Ventures, Amplify Partners, Microsoft, and AI pioneers such as Geoff Hinton, Yann LeCun, and Jeff Dean. Our expert team is dedicated to simplifying the complex task of data curation, empowering anyone to train their models effectively on their own data.This position is located in Redwood City, CA, and we work in-office four days a week.

About DatologyAIAt DatologyAI, we understand that models are only as good as the data they are trained on. A significant portion of training compute is often wasted on data that is redundant, irrelevant, or even detrimental, leading to subpar models that incur higher training and deployment costs. Our innovative data curation suite automates the curation and optimization of petabytes of data, ensuring that your models receive the best training data possible.Training on our curated data can lead to an astonishing reduction in training time and costs, making it possible to achieve 7-40x faster training depending on the specific use case. Moreover, it can enhance model performance as if you had utilized over 10x more raw data without escalating training costs. Our approach facilitates smaller models with fewer than half the parameters to outperform larger counterparts while using significantly less compute during inference, ultimately lowering deployment costs. For further insights, explore our recent blog posts on text models and image-text models.With a total of $57.5 million raised across two funding rounds, including Seed and Series A, our esteemed investors feature Felicis Ventures, Radical Ventures, Amplify Partners, Microsoft, Amazon, and AI pioneers like Geoff Hinton, Yann LeCun, and Jeff Dean. Our team stands at the forefront of this research domain, equipped with deep expertise in both data research and engineering, simplifying the data curation process for anyone aiming to train their model on their data.This position is located in Redwood City, CA, where we maintain an in-office presence four days per week.

Join Poshmark Inc. as a Staff Software Engineer specializing in our Cloud Platform team. In this role, you will leverage your expertise to design, develop, and optimize scalable cloud solutions that empower our users. You'll collaborate with cross-functional teams to create innovative products that enhance the user experience. If you're passionate about technology and looking to make a significant impact in a dynamic environment, we want to hear from you!

Role Overview Poshmark is hiring a Software Engineer II for the Cloud Platform team in Redwood City, California. This office-based role focuses on building and improving cloud-based services that support Poshmark’s growing community. What You Will Do Work closely with other engineers to design and implement scalable cloud services Enhance and optimize existing cloud solutions Contribute to projects that directly support users and business goals Who We’re Looking For Interest in cloud technologies and scalable systems Collaborative approach to problem-solving Motivation to make a real impact through engineering work Location Based in Redwood City, California (office location).

About PoshmarkPoshmark is a premier fashion resale marketplace that thrives on a dynamic and engaged community of buyers and sellers, complemented by real-time social interactions. Our platform is designed to make online selling enjoyable, social, and easier than ever, empowering sellers to transform their closets into successful businesses while showcasing their unique styles to the world. Since our inception in 2011, we have cultivated a community of over 130 million users and facilitated more than $10 billion in Gross Merchandise Volume (GMV), enabling sellers to earn billions, delighting buyers with exclusive deals, and promoting a more sustainable fashion future. For further details, visit www.poshmark.com or check out our company updates at newsroom.poshmark.com. About the RoleWe are seeking a Senior Software Engineer to enhance our growing Cloud Platform and marketplace. In this pivotal role, you will be instrumental in building and maintaining a high-traffic, rapidly evolving platform while receiving mentorship from seasoned engineers. You will work at scale, leveraging cutting-edge cloud technologies to support Poshmark's expansion. ResponsibilitiesDevelop applications and services utilizing distributed cloud architecture, incorporating NoSQL data solutions, queueing technologies, and search infrastructure.Design and implement innovative product features for the marketplace, employing a data-driven and iterative methodology.Enhance, tune, and analyze core components of the Poshmark product and cloud platform that facilitate millions of e-commerce transactions.Collaborate closely with product and customer support teams to drive meaningful impacts on our expanding business. QualificationsBachelor's or Master's degree in Computer Science or a related technical field (or equivalent experience). Strong foundation in computer science principles, data structures, algorithms, and software design.Minimum of 4 years of relevant software engineering experience through professional projects or internships.Familiarity with Amazon AWS or other cloud computing platforms is preferred.Proficiency in any combination of: Ruby, JRuby, Java, HTML5, JavaScript, CSS, MongoDB, ElasticSearch, RabbitMQ, Linux.A strong user-centric focus and commitment to quality in your work.

About PoshmarkPoshmark stands as a premier fashion resale marketplace, fueled by an active and enthusiastic community of buyers and sellers, complemented by real-time social engagement. Our platform is crafted to make online selling not just enjoyable but also inherently social and straightforward. Poshmark empowers sellers to transform their closets into flourishing businesses while sharing their unique styles with the world. Since our inception in 2011, we have expanded our community to exceed 130 million users, generating over $10 billion in GMV and assisting sellers in realizing billions in earnings. We delight buyers with exceptional deals and unique items while championing a sustainable future for fashion. For further information, please visit www.poshmark.com and for the latest company updates, visit newsroom.poshmark.com.At Poshmark, the security team plays a critical role in safeguarding our application platform, cloud infrastructure, and IT systems, ensuring the protection of our community of 150 million Poshers. We are seeking a Staff Engineer specializing in Cloud/Infrastructure Security, tasked with designing, implementing, and maintaining secure AWS cloud and corporate IT infrastructure, adhering to industry best practices and CIS benchmarks. This position encompasses hardening systems, developing security architectures and policies, managing vulnerabilities, and enforcing least-privilege IAM controls across the enterprise.

About the RoleJoin our innovative team at character as a Backend Software Engineer. In this pivotal role, you will develop and sustain scalable, high-performance backend systems that drive our products forward. You will collaborate closely with designers, data scientists, and fellow engineers to create, design, and implement robust backend solutions that meet user demands.Your ResponsibilitiesArchitect, develop, and manage scalable backend services that bolster our applications and infrastructure.Craft secure and efficient APIs to facilitate frontend applications and third-party integrations.Enhance system performance, reliability, and scalability through architectural best practices and engineering expertise.Collaborate with product managers, data analysts, and frontend engineers to deliver backend solutions that align with business goals and user expectations.Guarantee high availability, fault tolerance, and optimal performance of backend systems.Monitor system health, troubleshoot issues, and implement enhancements to improve efficiency and reliability.Adhere to security best practices to safeguard user data and maintain system integrity.Stay informed about industry trends and emerging technologies in backend development and distributed systems.Your Profile5+ years of experience in backend development, creating scalable and dependable applications.Strong proficiency in programming languages such as Python, Java, or Go, with a preference for Python and Go.Familiarity with database technologies, including PostgreSQL, MySQL, or NoSQL solutions.Experience in designing and integrating APIs, particularly REST and GraphQL.Understanding of distributed systems, microservices architecture, and cloud platforms (AWS, GCP, or Azure).Proficiency with containerization and orchestration tools like Docker and Kubernetes.Strong analytical skills with the ability to optimize system performance and reliability.Excellent communication skills and a collaborative mindset.Preferred QualificationsExperience with...

Join our dynamic team at dstaff as a Software Engineer, where you will play a pivotal role in developing innovative software solutions. As part of a talented team, you will contribute to exciting projects that push the boundaries of technology and enhance user experience.

Company Overview:Dyna Robotics is at the forefront of the robotics revolution, creating versatile robots powered by our cutting-edge proprietary embodied AI foundation model. Our technology excels in generalization and self-improvement across diverse environments, delivering exceptional commercial-grade performance. With deployments spanning multiple industries, our frontier model stands as a leader in generalization and performance metrics.Founded by visionary entrepreneurs Lindon Gao and York Yang, who previously achieved remarkable success with Caper AI, alongside former DeepMind research scientist Jason Ma, Dyna Robotics has successfully raised over $140 million from top-tier investors like CRV and First Round. We are poised to redefine the robotic automation landscape, and we invite you to join us in shaping the future of AI-driven robotics!Discover more at dyna.coPosition Overview:We are on the lookout for a highly skilled Machine Learning Infrastructure Engineer to join our dynamic team. You will be instrumental in scaling our machine learning training platform, focusing on designing, implementing, and maintaining comprehensive ML infrastructure. Your expertise will accelerate model iteration and enhance training performance within our expansive GPU ecosystem. Engage with advanced high-performance computing systems, optimize distributed training environments, and ensure system reliability as we grow.

Join Zilliz, a pioneering startup at the forefront of developing cutting-edge vector database solutions designed for enterprise-grade AI applications. Founded by the visionary engineers behind Milvus, the leading open-source vector database, we are on a mission to revolutionize data management for AI applications, making vector databases accessible to every organization. At Zilliz, you will play a crucial role in shaping the future of AI.

Senior Multi-Cloud DevOps Engineer(AWS | GCP | OCI | Platform Engineering | SRE)As a Senior Multi-Cloud DevOps Engineer at Anomali, you will be instrumental in designing, migrating, and managing cloud platforms within a diverse multi-cloud setting. This role involves close collaboration with application, platform, and reliability teams to enhance our operational capabilities.Key Responsibilities:• Architect, migrate, and operate cloud-native platforms across AWS, GCP, and OCI.• Assess existing AWS infrastructures and optimize them for GCP and OCI.• Document and map AWS services (EC2, EKS, RDS, S3, IAM, ALB/NLB, Lambda, etc.) to their GCP and OCI equivalents, analyzing patterns and trade-offs.• Develop and manage Infrastructure as Code using Terraform across various cloud providers.• Enhance CI/CD pipelines for multi-cloud deployments.• Collaborate with Platform Engineering teams to establish standardized landing zones, networking, IAM, and security frameworks.• Implement SRE best practices to boost availability, performance, and reliability (SLIs/SLOs, monitoring, alerting).• Provide support for Kubernetes platforms (EKS, GKE, OKE) and cloud-native workloads.• Work with application teams to modernize workloads leveraging containers and managed services.• Assist with cloud cost optimization efforts.

About the RoleWe are in search of experienced Machine Learning Infrastructure Engineers who excel at designing, constructing, and maintaining robust training and serving infrastructures for machine learning research initiatives.Key ResponsibilitiesDeliver comprehensive infrastructure support for our machine learning research and product development.Develop tools for diagnosing cluster issues and addressing hardware failures effectively.Oversee deployments, manage experiments, and provide ongoing support for our research activities.Optimize GPU allocation and utilization for both training and serving environments.QualificationsA minimum of 4 years of experience in supporting infrastructure within machine learning environments.Proven experience in creating diagnostic tools for ML infrastructure issues.Familiarity with cloud platforms, such as Compute Engine, Kubernetes, and Cloud Storage.Hands-on experience working with GPUs.Preferred QualificationsExperience managing large GPU clusters and high-performance computing/networking.Knowledge in supporting large language model training.Familiarity with machine learning frameworks like PyTorch, TensorFlow, or JAX.Experience in GPU kernel development.

About the RoleAt Character, we are on a mission to scale personalized AI to billions of users, and monetization is the backbone of our sustainable vision. Our dedicated monetization team is innovating the way users engage with virtual currency, subscriptions, and premium features, ensuring these interactions are intuitive, rewarding, and enjoyable. We’re seeking a passionate Product Engineer who excels at the intersection of product design, commerce, and user experience—someone eager to create and implement systems that not only drive revenue but also enhance overall user satisfaction.If you possess experience with subscriptions, advertising, virtual economies, or in-app purchase systems, and are dedicated to crafting high-quality user experiences, we would love to collaborate with you.What You’ll DoDevelop and enhance user-facing features across mobile and web platforms that facilitate payments, subscriptions, and in-app purchase processes.Design and experiment with monetization interfaces, ranging from virtual currency systems to premium upsells and advertising strategies.Collaborate closely with design and product teams to create delightful, efficient, and trustworthy purchasing experiences.Work with data science teams to define success metrics for monetization, conduct experiments, and analyze results.Partner with backend developers to create scalable and reliable systems for payments, entitlements, and transactions.Uphold a high standard for UI/UX quality, performance, and privacy in sensitive user interactions.Contribute to shaping the company’s monetization experimentation framework, including methodologies for A/B testing and rapid iteration.Who You AreExperienced in consumer product development with a focus on monetization, in-app purchases, or subscription models.Strong proficiency in Typescript, React, React Native, Tailwind, HTML, and modern front-end development practices.Comfortable working on backend services, preferably using Python or Golang, particularly for payment or commerce systems.Proven track record of delivering user-facing features that have driven measurable monetization or engagement improvements.Ability to excel in fast-paced environments, balancing the need for speed with quality and reliability.Excellent communication and collaboration skills across engineering, product management, design, and data analytics teams.Nice to HaveFamiliarity with A/B testing frameworks and data-driven decision making.

Join us in creating a safer world, one incident at a time.At Ambient.ai, we are pioneering a cutting-edge, AI-driven physical security platform designed to empower leading enterprises to mitigate risks, enhance operational efficiency, and extract invaluable insights. Industry giants, including seven of the top ten U.S. technology firms and numerous Fortune 500 companies, depend on our innovative solution to transform their physical security infrastructure.Our platform harnesses the power of advanced AI and computer vision to integrate seamlessly with existing camera and sensor systems, facilitating real-time monitoring and proactive threat detection. By reducing false alarms by over 95%, we allow security teams to concentrate on genuine threats and avert incidents before they happen.Founded in 2017 and supported by prominent investors such as Andreessen Horowitz, Y Combinator, and Allegion Ventures, Ambient.ai is a Series B company dedicated to making every security incident avoidable.Interested in learning more? Connect with us on LinkedIn and YouTubeAbout the Role:Reporting directly to Kiran Palan, you will lead a dynamic team of skilled engineers dedicated to developing products that are revolutionizing the physical security landscape. As an Engineering Leader, you will be at the forefront of creating innovative product concepts while nurturing the growth of existing offerings. Collaborating closely with product managers, you will help define our growth strategy, ensuring alignment of processes and delivery with the product roadmap.In this pivotal role, you will unify internal business partners and leadership around this strategic plan while partnering with cross-functional teams to execute it effectively. Your involvement will be crucial in assessing and maintaining the quality and user experience of our products, all while ensuring agility in our development processes.What You'll Bring:Leadership of the current product engineering team, encompassing front-end, mobile, and back-end developers.Expertise in designing, guiding, and evaluating systems within the broader context of product development.Ability to scale the team effectively, recruiting and onboarding new talent while fostering a high-performance culture among software engineers.Technical proficiency as a hands-on coder, coupled with the ability to coach and mentor effectively.Commitment to ensuring exceptional product quality and user experience through active engagement and leadership.

Join us in creating a safer world, one incident at a time.At Ambient.ai, we are pioneering a cutting-edge, AI-powered physical security platform that empowers leading enterprises to mitigate risks, enhance operational efficiency, and derive invaluable insights. Our technology is trusted by seven of the top ten U.S. tech giants and numerous Fortune 500 companies to modernize their security frameworks.Our innovative platform leverages advanced artificial intelligence and computer vision to integrate seamlessly with existing camera and sensor systems, providing real-time monitoring and proactive threat detection. By drastically reducing false alarms by over 95%, Ambient.ai enables security teams to concentrate on genuine threats, effectively preventing incidents before they happen.Founded in 2017 with the support of industry leaders like Andreessen Horowitz, Y Combinator, and Allegion Ventures, Ambient.ai is a Series B company on a mission to ensure that every security incident is preventable.Interested in learning more? Connect with us on LinkedIn and YouTubeAbout the Role:We are on the lookout for a skilled Full Stack Engineer to contribute to the development and scaling of the essential systems that drive Ambient.ai’s real-time AI security platform. In this dynamic role, you will engage with software that processes and interprets large volumes of video and event data instantly, turning raw signals into actionable intelligence for some of the world's largest enterprises.You will regularly tackle technically challenging problems in a fast-paced, collaborative atmosphere and witness your contributions deployed in mission-critical environments.Your Responsibilities:Design and implement REST and GraphQL endpointsDevelop highly available, latency-sensitive, fault-tolerant microservicesCreate core infrastructure for handling significant volumes of video streaming dataEnhance the performance, reliability, and scalability of all backend servicesTake ownership of small to medium platform features, overseeing them from conception to deploymentCollaborate as a vital member of the platform team, responsible for one or more services/product featuresExpect to be challenged and continuously develop your skills.

Company Overview:Dyna Robotics is a pioneering force in the robotics industry, developing versatile robots that leverage our proprietary embodied AI foundation model. This technology allows our robots to adapt and enhance their capabilities across diverse environments, delivering commercial-grade performance that is unmatched in the sector. Our robots are already making significant impacts across various industries, demonstrating exceptional generalization and performance with our groundbreaking frontier model.Founded by visionary entrepreneurs Lindon Gao and York Yang, who successfully sold Caper AI for $350 million, alongside former DeepMind researcher Jason Ma, Dyna Robotics has secured over $140 million in funding from prominent investors like CRV and First Round. We aim to redefine robotic automation and invite you to join us in shaping the future of AI-driven robotics!Discover more about our innovative journey at dyna.coPosition Overview:As a Senior Robotics Software Engineer at Dyna Robotics, you will take a lead role in the design and development of advanced software solutions that interface seamlessly with our state-of-the-art robotic systems. Your expertise will guide the creation of software for robot control, sensing, and teleoperation, while also crafting tools for remote operation, data collection, and processing. You will collaborate closely with our AI research and hardware teams to bolster the intelligence and reliability of our robotic innovations, contributing significantly to our mission of achieving long-term general intelligence in robotic systems.