Staff Software Engineer – Edge Applications

Fastly is looking for a Staff Engineer to join the Edge Systems Efficiency team. This role centers on enhancing the performance, scalability, and efficiency of Fastly’s edge computing platforms. The work has a direct impact on the reliability and speed of Fastly’s global infrastructure. What you will do Optimize edge systems for greater efficiency and improved performance. Collaborate with cross-functional teams to identify and resolve technical challenges. Apply technical expertise to support new solutions and drive improvements at scale. Locations Denver, CO New York City, NY San Francisco, CA

Join Cloudflare as a Senior Edge Systems Engineer, where you will play a pivotal role in enhancing our cutting-edge edge computing solutions. Collaborate with a team of talented engineers to design, implement, and optimize systems that operate at the forefront of technology, ensuring high performance and security for our global customer base.

Fastly seeks a Staff Software Engineer to focus on Edge Protocols. This position involves designing and building new solutions that enhance the edge cloud platform. The work has a direct impact on performance, scalability, and the experience of clients worldwide. Role focus This role centers on developing protocols and systems that support Fastly's edge infrastructure. Engineering decisions here shape how data moves efficiently and reliably across the platform. Impact Solutions built in this role influence the speed and reliability of Fastly's services. Engineers in this area help ensure clients around the globe receive consistent, high-quality performance. Locations Denver, CO New York City, NY San Francisco, CA

Airbnb connects millions of hosts and guests, offering stays and experiences in locations around the world. Since 2007, the company has helped over 2 billion guest arrivals discover new places and cultures. Role Overview The BizTech team at Airbnb is hiring a Staff Systems Engineer focused on Oracle EPM Planning systems. This role plays a key part in supporting the Finance team, acting as the technical architect and primary developer for the EPM environment. Main Responsibilities Design and develop scalable Oracle EPM solutions for Finance Budgeting and Forecasting. Build and refine financial forecasting models. Drive process improvements using AI technologies. Integrate EPM with data warehouse systems. Translate complex business requirements into technical solutions within Oracle EPM.

About Liquid AIBorn from the innovation of MIT CSAIL, Liquid AI is at the forefront of developing general-purpose AI systems that operate seamlessly across various deployment platforms, including data center accelerators and on-device hardware. Our solutions prioritize low latency, minimal memory consumption, privacy, and reliability. We collaborate with leading enterprises in sectors such as consumer electronics, automotive, life sciences, and financial services. As we experience rapid growth, we seek extraordinary talent to join our mission.The OpportunityJoin our Edge Inference team, where we transform Liquid Foundation Models into highly optimized machine code for resource-limited devices such as smartphones, laptops, Raspberry Pis, and smartwatches. As key contributors to llama.cpp, we establish the infrastructure necessary for efficient on-device AI. You will collaborate closely with our technical lead to tackle complex challenges that demand a profound understanding of machine learning architectures and hardware constraints. This role offers high ownership, allowing your code to be deployed in production environments and directly influence model performance on real devices.While San Francisco and Boston are preferred, we welcome applicants from other locations.

Join our innovative team at Crusoe as a Staff Software Engineer, where you will leverage your expertise in systems engineering to develop cutting-edge software solutions. In this dynamic role, you will collaborate with cross-functional teams to design, implement, and optimize systems that drive our mission forward. Your contributions will be pivotal in enhancing our technology stack and ensuring the seamless operation of our systems.

Join our dynamic team at DigitalOcean as a Senior Engineer II, focusing on enhancing Fleet Efficiency. In this role, you will leverage your expertise to optimize our fleet operations, ensuring peak performance and sustainability. Collaborate with cross-functional teams, utilize advanced analytics, and implement innovative solutions that drive efficiency and reduce costs.

Fastly operates an edge cloud platform that processes, serves, and protects applications at the Internet’s edge, close to end users. The platform is programmable and supports agile software development. Well-known brands such as GitHub, Yelp, Paramount, and JetBlue rely on Fastly’s services. Fastly’s mission is to build a more trustworthy Internet. Key Dates Posting Open Date: April 23, 2026 Anticipated Posting Close Date: May 7, 2026 The posting may close early depending on applicant volume. Role overview The Director of Engineering - Edge Linux Networking leads Fastly’s Kernel engineering team. This group is responsible for the performance and stability of the low-latency data path through the Linux kernel and XDP, supporting all customer traffic. The team maintains Fastly’s kernel alignment with upstream releases and both uses and contributes to new Linux technologies. This role also oversees support for the hardware platform and manages the lifecycle of OCI containers and Linux Operating System Distributions. Strong leadership is essential to maintain the stability of Fastly’s Edge stack and deliver high-quality service to customers. Locations Denver, CO New York City, NY San Francisco, CA

Join Sofi as a Senior Software Engineer specializing in Cloud Efficiency, where you will play a crucial role in enhancing the performance and scalability of our cloud-based applications. You will collaborate with cross-functional teams to design and implement innovative solutions that drive operational excellence and customer satisfaction.Your expertise in cloud technologies and software development will be instrumental in optimizing our infrastructure, ensuring reliability, and supporting the growth of our dynamic platform.

Ironclad is at the forefront of revolutionizing contract management through its advanced AI contracting platform, which transforms agreements into strategic assets. Our platform accelerates the contracting process, delivers immediate insights, and empowers teams to drive progress, all while keeping you in control. Whether facilitating purchases or sales, Ironclad streamlines the entire process on a single intelligent platform, equipping leaders with the visibility they need to stay ahead of the curve. This is why leading organizations, from Rivian to the World Health Organization and the Associated Press, trust Ironclad to enhance their operational efficiency.Recognized as an industry leader, Ironclad has earned accolades including being a Leader in the Forrester Wave and Gartner Magic Quadrant for Contract Lifecycle Management, a Fortune Great Place to Work, and Fast Company’s Most Innovative Workplaces. Additionally, we have been featured in Forbes’ AI 50 and Business Insider’s list of Companies to Bet Your Career On. Our growth is fueled by prestigious investors such as Accel, Y Combinator, Sequoia, BOND, and Franklin Templeton. For more details, visit www.ironcladapp.com or connect with us on LinkedIn.This is a hybrid position requiring in-office attendance at least twice a week on Tuesdays and Thursdays for collaboration and team engagement. Additional in-office days may be scheduled for team or company events.About the RoleAs a Staff Systems Engineer, Automations & Integrations, you will take on a pivotal technical leadership role, crafting and implementing enterprise-wide automations, AI-driven workflows, and managed data integrations across Ironclad’s technology ecosystem. You will collaborate with various teams (GTM, EPD, G&A, etc.) to design resilient, observable automation frameworks and integrations that significantly enhance both employee and customer experiences, as well as accelerate business operations. Your deep technical knowledge in tools such as Workato, Glean, and our core SaaS/identity stack will be crucial in establishing reusable frameworks, comprehensive error handling, and reliable data flows that scale efficiently.This position is primarily individual contributor-oriented, with a broad impact scope: you will closely engage with stakeholders and engineering colleagues, mentor fellow automation engineers, and steer the technical direction for high-impact projects in automations, integrations, and AI.

About GranicaGranica is a pioneering AI research and infrastructure company dedicated to creating reliable and steerable representations of enterprise data.We build trust through Crunch, a policy-driven health layer designed to keep extensive tabular datasets efficient, reliable, and reversible. From this foundation, we are developing Large Tabular Models—systems that learn cross-column and relational structures to provide trustworthy answers and automation, complete with built-in provenance and governance.Our MissionThe current limitations of AI are not solely due to model design but also to the inefficiencies of the data that supports it. At scale, every redundant byte, poorly organized dataset, and inefficient data path contributes to significant costs, latency, and energy waste.Granica’s mission is to eliminate these inefficiencies. We leverage cutting-edge research in information theory, probabilistic modeling, and distributed systems to create self-optimizing data infrastructures that continuously enhance how information is represented and utilized by AI.Our engineering team collaborates closely with the Granica Research group led by Prof. Andrea Montanari from Stanford University, merging advancements in information theory and learning efficiency with large-scale distributed systems. We believe that the next major breakthrough in AI will stem from innovations in efficient systems, rather than simply larger models.What You Will CreateGlobal Metadata Substrate. Design and refine the global metadata and transactional substrate that enables atomic consistency and schema evolution across exabyte-scale data systems.Adaptive Engines. Architect systems that self-optimize, reorganizing and compressing data according to access patterns, achieving unprecedented efficiency improvements.Intelligent Data Layouts. Innovate new encoding and layout strategies that challenge the theoretical limits of signal per byte read.Autonomous Compute Pipelines. Spearhead the development of distributed compute platforms that scale predictively and maintain reliability even under extreme load and failure conditions.Research to Production. Partner with Granica Research to transform advances in compression and probabilistic modeling into production-ready, industry-leading systems.Latency as Intelligence. Propel systems forward by optimizing for latency as a key aspect of intelligence.

Join Cloudflare as an Engineering Manager for our Workers Runtime within the Edge Team, where you will lead a dynamic group of engineers dedicated to enhancing our edge computing capabilities. You will play a pivotal role in shaping the future of our technology while fostering an innovative and collaborative work environment. This is a unique opportunity to influence the development of products that impact millions of users globally.

Join our dynamic team at Lightfield as a Staff Engineer specializing in Backend Systems. We are looking for a passionate engineer who thrives in a fast-paced environment and is eager to innovate and contribute to the design and implementation of our backend architecture. You will collaborate closely with cross-functional teams to deliver high-quality solutions that enhance our products and services.

Join Our Team at Humble RoboticsBe a part of the revolutionary shift in ground transportation with Humble Robotics. We are developing an autonomous, zero-emission hauler that significantly reduces freight costs through pioneering vision-based AI technology, tailored for the modern global logistics landscape.As a member of our dynamic and collaborative team, consisting of seasoned veterans from the autonomous vehicle industry and forward-thinking innovators, you will contribute to a culture that is organically cultivated. Together, we embark on an extraordinary journey where progress is palpable.Experience the future of transportation with us.

The Role Are you a seasoned software engineer with a passion for technical leadership and a track record of enhancing production systems? If you're eager to leverage your expertise at the forefront of AI technology, this opportunity might be perfect for you. As a Staff Software Engineer on our pioneering Natural Language Understanding team within the “agent lab,” you will be instrumental in our mission to expand the boundaries of what AI agents can accomplish reliably and at scale. You'll lead the transformation of the Moveworks AI Assistant platform in key areas such as agent orchestration, sandboxed file systems, code execution, latency optimization, agent memory management, LLM self-reflection and improvement, execution environment simulation, enterprise knowledge graphs, and multimodal I/O. Equipped with cutting-edge enterprise AI tools, including top-tier LLMs from providers like OpenAI, our team focuses on rapid development of scalable infrastructure, tackling complex engineering challenges, and maximizing value for our customers. If you're ready to elevate your career alongside a passionate and impact-driven team, we would be thrilled to engage with you.

Join Crusoe as a Staff Storage Systems Administrator, where you will play a pivotal role in managing and optimizing our storage infrastructure. You will work collaboratively with our engineering teams to ensure efficient data management and system performance. This position offers an exciting opportunity to leverage your expertise in storage systems within a dynamic and innovative environment.

P-186 At Databricks, we are passionate about empowering data teams to tackle some of the world’s most challenging problems, from security threat detection to cancer drug development. Our mission is to build and operate the leading data and AI infrastructure platform, enabling our customers to concentrate on the high-value challenges that are integral to their own objectives. Founded in 2013 by the original creators of Apache Spark™, Databricks has rapidly evolved from a small office in Berkeley, California, to a global powerhouse with over 1000 employees. Trusted by thousands of organizations, from startups to Fortune 100 companies, we are recognized as one of the fastest-growing SaaS companies worldwide. Our engineering teams create highly sophisticated products that address significant needs in the industry. We continuously push the limits of data and AI technology while maintaining the resilience, security, and scalability essential for our customers' success on our platform. We manage one of the largest-scale software platforms, consisting of millions of virtual machines that generate terabytes of logs and process exabytes of data daily. At this scale, we frequently encounter cloud hardware, network, and operating system faults, and our software must effectively shield our customers from these challenges. Modern data analysis leverages advanced techniques, such as machine learning, that far exceed the capabilities of traditional SQL query engines. As a Software Engineer on the Runtime team at Databricks, you will be instrumental in developing the next generation of distributed data storage and processing systems that outshine specialized SQL query engines in relational query performance, while providing the flexibility and programming abstractions to support a variety of workloads, from ETL to data science. Examples of projects you may work on include: Apache Spark™: Contributing to the de facto open-source framework for big data. Data Plane Storage: Developing reliable, high-performance services and client libraries for storing and accessing vast amounts of data on cloud storage backends like AWS S3 and Azure Blob Store. Delta Lake: A storage management system that merges the scalability and cost-effectiveness of data lakes with the performance and reliability of data warehouses, featuring low latency streaming. Its higher-level abstractions and guarantees, including ACID transactions and time travel, significantly reduce the complexity of real-world data engineering architectures. Delta Pipelines: Aiming to simplify the management of data engineering pipelines.

About Aqua VoiceAqua Voice is revolutionizing voice input for the AI era. We develop proprietary models and create deep operating system integrations, as mastering voice technology necessitates comprehensive control over the entire stack.The workplace landscape is evolving. Individual contributor roles are being replaced by the need to manage AI agents, and this transition is ideally suited for voice interaction.Unlike conventional conversational agents, we advocate for a voice-first approach where voice input leads to text output (VITO). We assert that voice interaction should transcend application layers, and our nimble organization is committed to pushing boundaries in this domain.Our relentless pursuit of excellence in this space has yielded promising results, and we invite you to be part of our journey.The RoleAs a Staff Engineer, you will take ownership of technical systems across the entire stack. Being a small, post-product-market-fit team, we are experiencing growth with real users facing real challenges.We favor modern technologies—opting for Bun over Node, Fly over AWS when applicable, and PyTorch over outdated ML frameworks.Your ResponsibilitiesGPU Inference: We independently run our Automatic Speech Recognition models.Real-time Transcription: Implementing WebSocket state machines, multi-provider failover, and achieving sub-100ms latency targets while tracking over 30 metrics per session.Native Applications: Utilizing Swift for macOS, C# for Windows, and Electron IPC for system-level programming.Backend Development: Employing Django for billing and analytics, Celery for background tasks, and PostgreSQL for database management.You will be involved in all aspects of our infrastructure and product development.Technology Stack- Languages: TypeScript, Python, Swift, C#- Runtime Environments: Bun, Node.js, Django, FastAPI- Machine Learning: PyTorch- Infrastructure: Fly.io, Terraform, AWS (RDS), Redis- Protocols: gRPC, WebSocket, RESTQualifications- Proven experience in building and managing systems at scale.- Strong architectural opinions that are adaptable.- Comfortable being the foremost technical expert in the room.- Capable of transforming ambiguous problems into functional systems.- Ability to write production-ready code.

About Emergent Labs Emergent Labs Inc. builds autonomous coding agents that translate plain-language instructions into production-ready software. Our systems support development at a global scale, powering millions of real-world applications. Growth and Impact $100M ARR reached within 8 months of public launch Platform serves 6 million users in over 190 countries More than 6.5 million applications created on our platform Raised over $100 million from investors such as Khosla Ventures, SoftBank, Google, Lightspeed, Prosus, Together, and Y Combinator Mission and Team Our mission focuses on solving the toughest problems in AI-driven software: correctness, reliability, security, and scalability in real production environments. The team includes experienced founders, Olympiad medalists, and former leaders from Google, Amazon, and Dropbox. Who We’re Looking For We value builders ready to take ownership and drive meaningful change on a global scale.