Staff Engineer, Edge Systems Efficiency

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 Cloudflare as a Senior Software Engineer specializing in Workers Runtime. In this dynamic role, you will be instrumental in developing and enhancing our serverless platform, enabling developers worldwide to build and deploy applications seamlessly. You will leverage your expertise in programming languages, cloud technologies, and software architecture to craft innovative solutions that power the next generation of applications.We are looking for a passionate engineer who thrives in a collaborative environment and is eager to tackle complex challenges. You will work closely with cross-functional teams to deliver high-quality software and contribute to Cloudflare's mission of building a better internet.

At Lemurian Labs, we’re dedicated to democratizing the power of AI while ensuring a minimal environmental impact. Our focus is on the profound influence AI has on society and the planet, and we’re committed to creating a robust foundation for its future, promoting sustainable and responsible AI growth. After all, innovation should benefit the world.We are developing a state-of-the-art, high-performance compiler that allows developers to 'build once, deploy anywhere.' This means seamless cross-platform functionality—train your models in the cloud and deploy them at the edge, all while optimizing for resource efficiency and scalability.If you're passionate about sustainably scaling AI and excited about making powerful AI development accessible, we invite you to join our team at Lemurian Labs. Be part of a fun and innovative environment where you can help shape the future without leaving a mess behind.

Join Databricks as a Senior Engineering Manager specializing in AI Runtime. In this pivotal role, you will lead a talented team in developing innovative solutions that drive the future of artificial intelligence. Your expertise will guide the architecture and implementation of AI runtime components, delivering scalable and efficient systems that empower our clients to harness the full potential of AI technologies.Your responsibilities will include fostering a collaborative environment, mentoring team members, and ensuring the team's alignment with our strategic vision. You will collaborate closely with cross-functional teams to define and execute the roadmap for AI runtime, ensuring high performance and reliability.

About UsAt Physical Intelligence, we are pioneers in integrating general-purpose AI into the physical realm. Our team comprises dedicated engineers, scientists, roboticists, and innovators focused on creating advanced foundation models and learning algorithms that will empower the robots of today and the physically-actuated devices of tomorrow.To achieve outstanding real-world performance, we prioritize ultra-low system latency, reliable sensor pipelines, and comprehensive engineering that ensures perception and control loops function seamlessly at real-time speeds.As a Runtime Software Engineer, you will be at the forefront of developing low-latency, high-throughput systems that support our physical intelligence model. Your role will not involve designing ML models; instead, you will optimize the entire stack from the operating system to the camera pipeline and networking, ensuring flawless production execution. You will work closely with researchers, platform engineers, and robotics operators to identify performance bottlenecks and maximize system efficiency.The TeamOur Runtime team is crucial in creating the foundational platform that our robots, sensors, and evaluation systems depend on. This team excels in Linux systems engineering, camera and sensor integration, robot actuator control, networking, real-time input/output, and performance optimization tools. They ensure that our machine learning models and control systems function within strict latency constraints and are resilient under real-world conditions.Your ResponsibilitiesManage Real-Time Pipelines: Design and implement low-latency, high-reliability sensor and actuator pipelines utilizing Linux, drivers, and middleware.Enhance System Performance: Analyze and optimize computational efficiency across I/O, memory, scheduling, networking, and storage to satisfy real-time requirements and boost throughput.Develop OS-Level Features: Modify or expand Linux components, drivers, and scheduling mechanisms to ensure deterministic performance under load.Streaming & Video Systems: Create and refine real-time video streaming systems with precise frame timing and packet scheduling.Ensure Reliability & Debugging: Develop tools for profiling, tracing, and resolving timing challenges across distributed systems and hardware interfaces.Collaborate Across Functions: Partner with researchers, hardware engineers, and operational teams to drive system performance and reliability.

Join Sysdig as a Senior Software Engineer specializing in Runtime. In this role, you'll be at the forefront of developing innovative solutions that enhance our runtime security and monitoring products.You'll collaborate with a dynamic team, leveraging cutting-edge technologies to tackle complex challenges. We are looking for passionate engineers who thrive in a fast-paced environment and are eager to make a significant impact.

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

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

Fastly is looking for a Staff Software Engineer to focus on Edge Applications in San Francisco, CA. This role centers on designing and building software that leverages edge computing to deliver reliable, high-performance solutions for clients. Role overview This position involves creating software that takes advantage of edge computing technologies. The goal is to support strong performance and reliability for Fastly’s customers. What you will do Design and implement solutions using edge computing technology. Develop software that meets high standards for quality and reliability. Collaborate with teams across engineering, product, and operations to build scalable applications. Integrate new features with existing systems to maintain smooth operation. Requirements Experience building software for edge computing or distributed systems. Ability to work with colleagues from different technical backgrounds. Dedication to creating efficient, maintainable, and scalable applications.

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 Mission at Hayden AIAt Hayden AI, we strive to leverage cutting-edge computer vision technology to revolutionize how transit systems and government agencies tackle real-world challenges.Our innovative mobile perception system is designed to enhance transit efficiency, improve street safety, and foster a sustainable future through various applications, including bus lane enforcement and transportation optimization technologies.Your RoleAs a pivotal member of the Hayden Software Engineering team, you will help develop our next-generation Automated Bus Lane Enforcement product. You will be engaged in creating, integrating, and deploying edge-based perception models.This position is centered around C++ software engineering. You will be responsible for delivering high-quality, modern C++ (C++17/20) code that operates on embedded Linux edge devices, primarily utilizing the NVIDIA Embedded Platform.Your work will involve building and optimizing real-time CV/ML pipelines on-device, incorporating CUDA/TensorRT and efficient camera/video input/output.You will collaborate closely with Product Management to translate customer requirements into effective software solutions.Being part of a startup, you will thrive in a fast-paced, dynamic environment with evolving challenges.As we expand, your contributions will help establish a robust foundation through well-designed and thoroughly tested code that can be shared across the organization.

Join our dynamic team at Cloudflare as a Software Engineer focused on Workers Observability. In this pivotal role, you'll be instrumental in enhancing the observability features of our Workers platform, ensuring optimal performance and reliability for our users. You will collaborate with cross-functional teams, tackle complex technical challenges, and contribute to the advancement of our innovative cloud solutions.

Join Cloudflare as an Engineering Manager leading our Linux Team. In this pivotal role, you'll drive the development and optimization of cutting-edge technologies while mentoring and guiding a talented group of engineers. Your leadership will be essential in fostering innovation and maintaining high-quality standards in our Linux infrastructure.

Join Cloudflare as a Software Engineer focusing on Workers Deployment and Configuration. In this role, you will be an integral part of our engineering team, working to enhance our deployment processes and improve configuration management for our serverless platform. You will collaborate with cross-functional teams to deliver high-quality software solutions that meet the needs of our clients.

Join Cloudflare, a leading internet security and performance company, as a Systems Engineer focused on Workers Authoring and Testing. In this dynamic role, you will be instrumental in developing and maintaining our innovative serverless platform. Your expertise will help enhance our engineering practices and ensure seamless integration of worker scripts into our deployment pipeline.

Join Cloudflare as a Senior Systems Engineer specializing in Workers AI, where you will play a pivotal role in shaping the future of serverless computing. You will collaborate with cross-functional teams to design, implement, and optimize systems that empower developers worldwide.In this dynamic position, your expertise will be critical in enhancing the performance and reliability of our services. We are looking for an innovative thinker with a passion for technology and a strong background in systems engineering.

As a Team Leader in Analytics Engineering at truebill, you will spearhead a talented team of data engineers and analysts to drive critical insights that shape our business strategies. Your role will involve collaborating with cross-functional teams to develop innovative analytics solutions, ensuring that our data infrastructure is robust, scalable, and aligned with our organizational goals.

At Databricks, we are driven by our mission to empower data teams to tackle the world's most challenging problems—whether it's realizing the next mode of transportation or accelerating medical advancements. Our dedication is to build and operate the premier Data and AI infrastructure platform, enabling our clients to harness deep insights from data to enhance their operations. We are on the lookout for a Senior Engineering Manager to join our Photon team, playing a pivotal role in defining the next generation of ultra-fast, scalable data processing solutions. In this role, you will lead a team of exceptional engineers working on Photon—the innovative query engine that powers Databricks' groundbreaking Lakehouse Platform. This is a unique opportunity to drive innovation on a grand scale, optimize data systems for tangible results, and collaborate with top experts in query optimization, execution, storage, and large-scale analytics. If you are passionate about empowering teams, architecting groundbreaking technologies, and accelerating analytics for millions of users, we invite you to join our team.