Staff Software Engineer with a Focus on Systems Engineering

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 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.

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.

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.

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.

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.

Join Crusoe as a Senior Staff Systems Administrator, where you will play a pivotal role in managing and optimizing our systems infrastructure. You will work closely with cross-functional teams to ensure seamless operations and high availability of our services.Your responsibilities will include monitoring system performance, troubleshooting issues, and implementing best practices to enhance our infrastructure. This position requires a deep understanding of system administration and a passion for technology.

AeroVect is seeking a highly skilled Staff Engineer to elevate our autonomous driving systems within structured, low-speed environments. In this pivotal role, you will spearhead the growth and development of our core autonomy software team in a dynamic, early-stage startup environment. Your extensive experience in building production-grade systems will drive the AeroVect Driver to new heights, establishing industry-leading vehicle autonomy tailored for the airport operational design domain.Your responsibilities will encompass leading the design and implementation of vital enhancements across core modules such as planning, prediction, perception, localization, and controls. You will integrate both innovative techniques and reliable, off-the-shelf solutions to optimize all autonomous driving and towing functionalities, delivering exceptional value and efficiency to the modern supply chain.This role presents an exciting opportunity for a technically adept, hands-on leader to contribute to a groundbreaking enterprise product that merges autonomous vehicle technology with a robotics-as-a-service (RaaS) business model. You will report directly to our co-founders.Key Responsibilities:Define, lead, and manage the development of an autonomous driving stack specifically designed for structured logistics environments. Anticipate spending 70% of your time on hands-on development while dedicating the remaining 30% to defining project requirements, managing schedules, overcoming challenges, mentoring the team towards ambitious goals, and building a team of elite engineers.Oversee a team of engineers responsible for the deployment of all components essential for dependable autonomous driving operations in the airside environment, including vehicle corridors and apron areas.Design, implement, test, and maintain all facets of ground vehicle autonomy, incorporating planning, prediction, perception, localization, controls, and infrastructure subsystems.Ensure all subsystems are qualified using objective metrics, with a strong focus on functional safety and adherence to systems engineering best practices.Collaborate with vehicle engineering teams to forge an integrated system, addressing sensor and computing selection and integration.Stay informed of the latest advancements in the field.

ABOUT RETELL AIAt Retell AI, we are revolutionizing the call center experience using cutting-edge voice AI technology. In just 18 months since our inception, thousands of companies have leveraged our AI voice agents to streamline sales, support, and logistics operations that previously required extensive human teams. Supported by prominent investors such as Y Combinator and Alt Capital, we have grown from $5M to an impressive $36M ARR with a dedicated team of 20.Our ambitious vision for 2026 is to create a state-of-the-art customer experience platform where entire contact centers are driven by AI. Rather than relying on basic automation that necessitates constant human oversight, we are developing intelligent AI “workers” to function as frontline agents, QA analysts, and managers—constantly executing, monitoring, and enhancing customer interactions.As we rapidly expand, we seek passionate innovators eager to solve complex technical challenges, move swiftly, and make a meaningful impact at one of the fastest-growing voice AI startups. Join us in building the future!Ranked among the top 50 AI applications in the a16z list: https://tinyurl.com/5853dt2xRanked #4 on Brex's Fast-Growing Software Vendors of 2025: https://www.brex.com/journal/brex-benchmark-december-2025One of the top startups on the Leana I leaderboard: https://leanaileaderboard.com/THE ROLEWe are in search of a Principal/Staff Engineer to spearhead the technical direction of our core platform. This is an individual contributor role designed for someone who excels in uncertainty, acts swiftly, and elevates the standards of those around them.You will engage with various systems, infrastructure, and product surfaces while collaborating closely with engineering teams, product managers, and leadership to scale successful initiatives and innovate for the future.This role is not about merely addressing tickets; you will identify challenges, engineer solutions, and deliver impactful results.KEY RESPONSIBILITIESLead the design and evolution of our core platform and systems architecture.Oversee complex technical projects from inception to production.Make strategic technical decisions that optimize for speed, reliability, and scalability.Collaborate across teams to facilitate knowledge sharing and best practices.