Senior IT Systems Engineer at abridge | San Francisco

Role OverviewJoin our innovative team as a Distributed Systems Engineer at Archil, where you will play a pivotal role in developing cutting-edge storage solutions. You will work across the entire technology stack, tackling challenges as they arise and significantly shaping our product's technical and strategic direction.Your responsibilities will include:Being on-call for our production systems to assist customers promptly in case of issues.Innovating and implementing unprecedented features in our storage services.Designing interactions within distributed systems to ensure atomicity and idempotency.Deploying and standardizing infrastructure across various cloud environments.Navigating evolving customer requirements amidst ambiguity.

Role OverviewJoin Archil as a Senior Distributed Systems Engineer, where you will play a critical role in developing our innovative storage solutions. You'll engage with technologies across the entire stack to tackle challenges and contribute to building Archil volumes, significantly influencing both technical design and product strategy.Key ResponsibilitiesProvide on-call support for our production systems, ensuring customer satisfaction in case of issues.Innovate and implement unprecedented capabilities within our storage services.Design interactions in distributed systems focusing on atomicity and idempotency.Deploy and generalize infrastructure across multiple cloud environments.Adapt to evolving customer needs amidst ambiguity.Lead engineering teams through complex decisions and provide insightful PR feedback.

Join Krea's Innovative TeamAt Krea, we are at the forefront of developing next-generation AI creative tools. Our commitment lies in making AI an intuitive and controllable medium for creatives. We aspire to create tools that enhance human creativity rather than replace it.We view AI as a transformative medium that enables expressions across diverse formats—text, images, video, sound, and even 3D. Our focus is on creating smarter, more adaptable tools that leverage this medium effectively.The Role of Supercomputing and AI Infrastructure at KreaOur team is responsible for building and managing the foundational infrastructure that supports Krea's research and inference processes. This includes distributed training systems, over 1000 Kubernetes GPU clusters, and extensive petabyte-scale data pipelines. Much of our work involves creating bespoke solutions, such as custom distributed datastores, job orchestration systems, and advanced streaming pipelines, which are designed to handle modern AI workloads efficiently.Key Projects You Will Contribute To:Distributed Data Systems: Design and implement multi-stage pipelines to transform petabytes of raw data into clean, annotated datasets; run classification models across billions of images; deploy and integrate large language models to caption extensive multimedia data.GPU Infrastructure: Manage distributed training and inference across 1000+ GPU Kubernetes clusters; address orchestration and scaling challenges for large-scale GPU job processing; optimize research workflows across multiple datacenters.Distributed Training: Profile and enhance dataloaders streaming thousands of images per second; troubleshoot InfiniBand networking during extensive training runs; develop fault tolerance systems for large-scale pretraining; collaborate with researchers to refine reinforcement learning infrastructure.Applied ML Pipelines: Identify clean scenes in millions of videos utilizing distributed shot-boundary detection; tailor and train models to sift through billions of images for specific queries; construct systems that link raw cluster capacity with research outcomes.

At Browserbase, we revolutionize web browsing for AI agents and applications. Our innovative headless browser infrastructure automates interactions with websites, simplifies form filling, and replicates user actions seamlessly.Having successfully raised a $40M Series B last year, we are on an accelerated growth trajectory. Supported by esteemed investors such as Kleiner Perkins, CRV, and Notable Capital, our dynamic team is committed to realizing our CEO's vision for empowering the best AI tools and transforming web automation.Our Core Infrastructure team is essential for maintaining the efficiency of our operations. This group tackles significant distributed systems challenges, ensuring our platform's speed, reliability, and scalability.

Join Baseten as a Software Engineer focusing on GPU Networking and Distributed Systems. In this pivotal role, you'll collaborate with talented engineers and researchers to develop cutting-edge solutions that leverage GPU technology for high-performance networking operations. Your contributions will be instrumental in shaping the future of distributed systems, enhancing performance, scalability, and reliability.

Join Cloudflare as a Distributed Systems Engineer focusing on our Data Platform, where you will play a pivotal role in developing analytics and alert systems that enhance our services. You will collaborate with a talented team to design scalable and efficient systems to manage and analyze vast amounts of data. Your work will directly impact the performance and reliability of our offerings, ensuring our customers have the best possible experience.

About Our TeamJoin the innovative Sora team at OpenAI, where we are at the forefront of developing multimodal capabilities for our foundation models. As a dynamic hybrid of research and product development, we focus on seamlessly integrating advanced multimodal functionalities into our AI offerings, ensuring they are not only reliable and user-friendly but also aligned with our mission to foster broad societal benefits.About the PositionWe are seeking a dedicated Software Engineer specializing in Distributed Data Systems to architect and enhance the infrastructure that supports large-scale multimodal training and evaluation at OpenAI. In this role, you will oversee distributed data pipelines and collaborate closely with our researchers to translate their requirements into robust, high-performance systems. You will play a crucial role in fortifying the pipelines that underpin Sora’s rapid innovation cycles.We are looking for engineers with a keen eye for detail, substantial experience with distributed systems, and a proven track record of building reliable infrastructures in high-stakes environments.This position is based in San Francisco, CA, and follows a hybrid work model requiring three days in the office each week. We also provide relocation assistance to new team members.Key Responsibilities:Design, build, and maintain data infrastructure systems including distributed computing, data orchestration, distributed storage, streaming infrastructure, and machine learning infrastructure, ensuring they are scalable, reliable, and secure.Ensure our data platform can scale dramatically while maintaining high levels of reliability and efficiency.Collaborate with researchers to deeply understand their needs and translate them into production-ready systems.Harden, optimize, and maintain vital data infrastructure systems that drive multimodal training and evaluation.Ideal Candidates Will Have:Extensive experience with distributed systems and large-scale infrastructure, coupled with a strong passion for data.A detail-oriented mindset and a commitment to building and maintaining dependable systems.Solid software engineering fundamentals and exceptional organizational skills.Comfort with ambiguity and rapid changes in a fast-paced environment.About OpenAIOpenAI is a pioneering AI research and deployment organization dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We strive to advance digital intelligence in a way that is safe and beneficial, pushing the boundaries of innovation and technology.

About Our TeamJoin the innovative Sora team at OpenAI, where we are at the forefront of developing multimodal capabilities for our foundation models. Our hybrid research and product team is dedicated to seamlessly integrating multimodal functionalities into our AI solutions, ensuring they are dependable, user-centric, and aligned with our vision of benefiting society at large.Role OverviewAs a Machine Learning Engineer specializing in Distributed Data Systems, you will be instrumental in designing and scaling the infrastructure that facilitates large-scale multimodal training and evaluation at OpenAI. Your role will involve managing complex distributed data pipelines, collaborating closely with researchers to convert their requirements into robust, production-ready systems, and enhancing pipelines that are essential for Sora's rapid iteration cycles.We are seeking detail-oriented engineers with extensive experience in distributed systems who thrive in high-stakes environments and excel in building resilient infrastructure.This position is located in San Francisco, CA, and follows a hybrid work model, requiring three days in the office each week. We also provide relocation assistance for new team members.Key Responsibilities:Design, implement, and maintain data infrastructure systems, including distributed computing, data orchestration, distributed storage, streaming infrastructure, and machine learning systems, with a focus on scalability, reliability, and security.Ensure our data platform can scale exponentially while maintaining high reliability and efficiency.Collaborate with researchers to gain a deep understanding of their requirements, translating them into production-ready systems.Strengthen, optimize, and manage critical data infrastructure systems that support multimodal training and evaluation.You Will Excel in This Role If You:Possess strong experience with distributed systems and large-scale infrastructure, coupled with a keen interest in data.Exhibit meticulous attention to detail and a commitment to building and maintaining reliable systems.Demonstrate solid software engineering fundamentals and effective organizational skills.Thrive in environments characterized by ambiguity and rapid change.About OpenAIOpenAI is a trailblazing AI research and deployment organization committed to ensuring that general-purpose artificial intelligence serves humanity. We continuously push the boundaries of AI capabilities and strive to create technology that benefits everyone.

Join linqapp as a Systems Engineer and be a pivotal part of our innovative team in the heart of San Francisco. In this role, you will design, implement, and maintain systems that enhance our product offerings and drive efficiency. We are looking for a passionate engineer who thrives in a collaborative environment and is dedicated to delivering high-quality solutions.

At Scribd, Inc., we are dedicated to enhancing human understanding through our suite of innovative products, including Scribd®, Slideshare®, Everand™, and Fable. Our mission revolves around transforming access into deeper insights and expertise for billions globally.Our CultureWe foster a culture where authenticity and boldness are encouraged; where constructive debates lead to commitment, and where every team member is empowered to prioritize customer needs.We believe that exceptional work emerges from harmonizing individual flexibility with a strong sense of community. Our Scribd Flex program allows employees to select their preferred work style and location, while also emphasizing the importance of intentional in-person interactions to enhance collaboration and culture. All employees are expected to participate in occasional in-person meetings, regardless of their location.We look for team members who embody “GRIT”—the intersection of passion and perseverance towards long-term goals. GRIT serves as a framework for our operations: setting and achieving Goals, delivering impactful Results, contributing Innovative ideas, and building a strong Team through collaboration.Join us at Scribd (pronounced “scribbed”) as we ignite human curiosity and create a world filled with stories and knowledge, democratizing the exchange of ideas and empowering collective expertise.The TeamOur ML Data Engineering team is responsible for powering metadata extraction, enrichment, and content understanding across our platforms.

Company Overview:Specter is revolutionizing how businesses perceive their physical environments by developing a software-defined control plane. Our mission is to enhance the security of American enterprises by providing them with comprehensive visibility over their physical assets.We are pioneering a connected hardware-software ecosystem that leverages multi-modal wireless mesh sensing technology, reducing the deployment costs and time for sensors by a factor of ten. Our platform aims to be the perception engine for a company’s physical presence, facilitating real-time visibility of perimeters and enabling autonomous operational management.Founded by passionate innovators from Anduril, Tesla, Uber, and the U.S. Special Forces, our co-founders, Xerxes and Philip, are dedicated to empowering our partners in the rapidly evolving landscape of physical AI and robotics.

Join Cloudflare as a Distributed Systems Engineer specializing in our Data Platform. In this role, you will be at the forefront of building and optimizing systems that enhance data delivery, database management, and retrieval processes. Collaborate with cross-functional teams to innovate and improve our platform, ensuring seamless data access and performance.This position offers a unique opportunity to work in a dynamic environment, leveraging cutting-edge technologies to impact the way data is processed and utilized across our platform.

We are seeking a talented and driven Distributed Systems Engineer to join our dynamic Data Platform team at Cloudflare. In this role, you will have the opportunity to work on cutting-edge technologies and help shape the future of data delivery, database management, and retrieval systems. You will collaborate with cross-functional teams to build scalable, reliable, and efficient distributed systems that power our services.

About braintrustBraintrust is at the forefront of AI observability. By merging evaluation and observability into a singular workflow, we empower developers with the insights needed to comprehend AI behavior in production environments, along with the tools to enhance it.Leading teams at Notion, Stripe, Zapier, Vercel, and Ramp utilize Braintrust to compare models, test prompts, and monitor regressions — transforming production data into superior AI with each new release.About the roleWe are in search of a passionate software engineer dedicated to crafting high-performance data processing systems. Our clientele consists of large enterprises handling complex, semi-structured data, which they require for real-time processing and analysis. Our distinct architecture enables these organizations to keep data on-premises while creating intricate visualizations that load without delay. Explore our Brainstore blog post.If you have experience with database systems, compilers, networks, or storage systems and aspire to pivot your expertise into the AI sector, this role could be your ideal fit. You will significantly influence foundational system architecture, technology selection, and implementation. Our founding team possesses extensive knowledge in database and ML systems, and you will have the autonomy to collaborate closely with them while exploring your innovative ideas.Your ResponsibilitiesAs a systems engineer at Braintrust, you’ll contribute to the core systems that empower Braintrust’s capability to process and query vast amounts of unstructured data at an enterprise scale. Key areas of responsibility include:Enhancing the storage, indexing, and query execution performance of Brainstore.Developing Braintrust's btql query language.Optimizing query patterns to boost performance across our platform.QualificationsDeep understanding of systems programming (C++ or Rust, concurrency, databases, operating systems).Experience in founding or working at startups is advantageous.Familiarity with writing prompts or experimenting with GPT models and applications.BenefitsComprehensive medical, dental, and vision insurance.Daily lunch, snacks, and beverages provided.Flexible time off policy.Competitive salary with equity options.

Midstream is an innovative, AI-driven financial operating system tailored for healthcare systems. Founded by a team of seasoned entrepreneurs and supported by prestigious investors, we empower finance, supply chain, and managed care teams with real-time insights into margin risks, enabling them to act swiftly to protect their margins.Designed specifically for the complexities of healthcare, Midstream converts structured, unstructured, and external data into immediate, contract-aware insights that enhance decision-making. Our AI-driven agents integrate spending and revenue operations across the entire back-office, continuously learning and adapting to ensure a level of intelligence that surpasses any standalone solution.We are revolutionizing the pace of healthcare finance, compressing lengthy processes into minutes and transforming retrospective insights into proactive foresight. Midstream is at the forefront of this change.The OpportunityJoin Midstream at a pivotal moment in our growth and contribute to establishing the technical backbone of our platform. In this role, you will operate at the intersection of product development, systems architecture, and cloud infrastructure, crafting and building distributed systems that enable our agile team to operate efficiently as we expand.You will collaborate closely with engineers and leadership to identify current infrastructural pain points and anticipate potential challenges before they arise. From multi-tenant architectures to security protocols, you will transform uncertainty into robust systems that minimize operational burdens and enhance engineering productivity.We are seeking a software engineer with a systems-oriented mindset who is passionate about long-term maintainability and developer experience, while also enjoying the process of creating backend services and delivering tangible software solutions. The ideal candidate will be adept at reasoning about distributed systems, making practical compromises, and developing infrastructure that seamlessly integrates into the background, allowing the team to focus on delivering impactful product value.What You’ll DoDevelop shared platform patterns and tools that enable engineers to launch new backend services and workflows efficiently, securely, and reliably.Enhance the reliability of our production systems by improving observability, debugging capabilities, and resilience as we scale.Architect infrastructure that is clean, reviewable, and repeatable, minimizing unique configurations and facilitating rapid iteration.Establish clear, scalable multi-tenant boundaries across data, compute, and identity to support...

Astranis is revolutionizing satellite communication by designing and deploying cutting-edge satellites for high orbits, thereby enhancing humanity’s exploration of the solar system. Our state-of-the-art satellites deliver dedicated, secure networks to a diverse clientele, including major enterprises, government entities, and the US military. With five satellites in orbit and a robust pipeline of future launches, we are addressing over $1 billion in commercial contracts.As the preferred partner for satellite communications, Astranis meets the rigorous demands for uptime, data security, network visibility, and customization. Backed by over $750 million from esteemed investors such as Andreessen Horowitz, Blackrock, and Fidelity, our dynamic team of 450 engineers and entrepreneurs operates from our expansive 153,000 sq. ft. headquarters in Northern California.As an RF Systems Engineer, you will be pivotal in shaping our RF systems roadmap, evaluating trade-offs, incubating new technologies, and managing RF sub-systems budgets and requirements. You will model payload and TT&C systems for both commercial and USG satellites, taking ownership of your projects while collaborating across teams to innovate and advance satellite technology.

OverviewPluralis Research is at the forefront of innovation in Protocol Learning, specializing in the collaborative training of foundational models. Our approach ensures that no single participant ever has or can obtain a complete version of the model. This initiative aims to create community-driven, collectively owned frontier models that operate on self-sustaining economic principles.We are seeking experienced Senior or Staff Machine Learning Engineers with over 5 years of expertise in distributed systems and large-scale machine learning training. In this role, you will design and implement a groundbreaking substrate for training distributed ML models that function effectively over consumer-grade internet connections.

Lumafield develops X-Ray CT scanners designed to make advanced imaging more accessible and affordable. The company’s cloud software provides engineers with detailed visualization tools, helping them analyze complex products and make informed decisions. Role overview This full-time, on-site Hardware Systems Engineer position is based in San Francisco. The role centers on leading hardware development for industrial CT scanners. Collaboration with researchers and designers is a key part of the job, with a focus on improving product development for a range of industries. What you will do Lead hardware systems development for industrial CT scanners Design and manage electrical architecture Develop firmware and oversee system integration Work hands-on to transform concepts into working products Collaborate with cross-functional teams to address customer needs Team and collaboration The engineering team includes experienced researchers and designers who value curiosity and rigor. The group is impact-driven and backed by leading venture capital firms. Location This role requires working on-site at Lumafield’s San Francisco office.

Join Nudge as a Quality Systems Engineer!At Nudge, we're committed to revolutionizing the way we interface with the brain through innovative technology aimed at enhancing human lives. Our flagship project involves developing a groundbreaking, non-invasive ultrasound device designed to stimulate and visualize the brain with unparalleled precision. This initiative integrates advanced hardware, software, and extensive research to create impactful products that can ultimately benefit millions, if not billions, of individuals.To achieve our ambitious goals, we focus on building exceptional teams across all areas. We seek talented individuals who excel in their fields, embrace challenging tasks, and strive for excellence with unwavering integrity.Your Role:As a Quality Systems Engineer at Nudge, you will:Guarantee that all product designs and processes adhere to internal and regulatory safety and performance standards.Collaborate in new product development, steering quality discussions, influencing critical decisions, and implementing process changes related to design controls, investigational studies, and clinical trials.Manage multiple tasks effectively while driving the execution of change orders.Lead investigations and implement corrective and preventive actions (CAPAs) alongside addressing non-conformances.Foster a quality-driven culture by partnering with interdisciplinary teams to set quality expectations, identify gaps, and uphold high internal standards.About You:We are seeking candidates for the Quality Systems Engineer position who possess a minimum of 2 years of relevant industry experience. Key qualifications include:Proficiency in design controls, product/process validation, and risk management.A degree in an engineering or scientific field (e.g., biomedical engineering, electrical engineering, neuroscience) or equivalent practical experience.Understanding of Good Clinical Practice (GCP) and human factors.Familiarity with FDA QMSR, ISO 13485, and ISO 14971 standards.