Open Source Software Author/CTO

We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us! Your Opportunity As a Senior Software Engineer within the Container Fabric (CF) organization, you will be a key driver in evolving New Relic’s global internal platform. We are looking for an operations-heavy engineer with 5–8 years of relevant experience who can leverage open-source and custom tooling to orchestrate and maintain large-scale Kubernetes environments. You will play a "Captain" role—leading critical deliverables and mentoring junior engineers while maintaining the reliability of our global fleet. What You'll Do Architectural Leadership: Drive the design and implementation of internal tools, specifically focusing on Kubernetes Operators and Controllers to automate resource management. Platform Orchestration: Lead complex, large-scale infrastructure shifts. Operational Excellence: Take ownership of incident response, author comprehensive retrospectives, and implement systemic hardening to prevent recurrence using advanced overcommit strategies. This Role Requires Experience: 5–8 years in a DevOps, Site Reliability, or Infrastructure Engineering role. Kubernetes Mastery: Deep internals knowledge of Kubernetes and hands-on experience writing custom operators. Tooling Proficiency: Strong experience building production-grade tools and services, specifically for infrastructure automation. Operations-Heavy Mindset: A proven track record of Day 1/Day 2 operations for a large-scale Kubernetes fleet, handling high-severity incidents, and improving SLA compliance through auto

Location: Fully remote, ideally located in CA, CO, NY, TX, FL, GA, MA, NJ, PA Open Core Ventures (OCV) is looking for a Full Stack Software Engineer to build web applications and embed AI capabilities across all our core functions. Your primary responsibility is to improve workflow efficiency and empower the entire business through smart, scalable AI and custom software. The ideal candidate will also participate in sourcing, evaluating, and starting new open source projects that support OCV’s thesis. As a key member of our small but mighty team, you’ll help us achieve our ambitious goal of launching 2,000 new companies per year. From reviewing open source codebases to owning internal systems like domain transfers and access controls, your work will directly support the company formation engine at the heart of OCV. What You’ll Do You will own the custom, internal software that we use to launch and support 2 companies per month currently, and 100+ companies per month in the future. You will use AI to build this software and to automate the various manual workflows. You will help us find and assess open source projects that we will start companies around. You will help support our companies, sometimes before we even have founders, by making contributions to the underlying OSS. You will be the system administrator for OCV. Who You Are A self-starter who thrives in fast-paced environments. Able to identify automation opportunities and independently bring them to life. Passionate about AI and systems design, with a strong drive to innovate and improve how work gets done. Passionate about open source software and love to solve new technical challenges. Requirements Bachelor’s degree in Computer Science, Engineering, or related field — or equivalent experience. Software engineering background, especially in backoffice systems and workflow automation. Proficiency with LLMs (OpenAI, Claude, etc.), APIs, RAG, and prompt engineering. Experience with Ruby

About the Team The Coding team is reimagining how software is built in the AI era. We build tools and workflows that help software engineers work faster, tackle more ambitious projects, and spend less time on repetitive tasks. AI has already transformed how code is written, but software engineering extends far beyond coding. Our mission is to apply AI across the entire software development lifecycle (SDLC) — from design and implementation to code review, testing, debugging, issue remediation, maintenance, documentation, and user support. The team is also responsible for developer-facing Codex experiences including the Codex IDE Extension and the terminal interface, which are used daily by developers ranging from individual open-source contributors to some of the world’s largest engineering organizations. The team also works closely with the open-source software community, building tools that help maintainers and contributors manage increasingly complex projects. We believe AI can make open-source development more sustainable by reducing the operational burden of reviewing contributions, triaging issues, maintaining quality, and supporting growing communities. By building the future of software development, we're helping advance OpenAI's mission of ensuring that the benefits of AI reach people around the world. About the Role We’re hiring a Full Stack Software Engineer to help invent the next generation of AI-powered software development workflows. “Full stack” in this role means much more than traditional frontend and backend development. You'll own complete product experiences, spanning user interfaces, workflow orchestration, agent and prompt design, backend systems, and cloud infrastructure. This is a highly product-oriented role. You'll work directly on the workflows developers use every day, identifying bottlenecks and rethinking how software gets built in a world where AI agents are active participants in the development process. The features you ship will inf

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: Data represents the voice of Airbnb’s users at scale. The Data Warehouse Infrastructure team is responsible for the foundational big data infrastructure, which is used by hundreds of engineers to collect, manage, and analyze data at scale. We are using open source technologies like Hadoop, Spark, Trino, Iceberg, Airflow etc. A Typical Day: Design and build the next generation big data compute platform to empower data ETL, analytics and machine learning at Airbnb Operate, manage and improve the reliability, performance, observability and cost efficiency of the platform. Write maintainable and self-documenting code, perform code reviews. Work on, and contribute to open source software, and have industry impact. Your Expertise: BS/MS/PhD in Computer Science, a related field, or equivalent work experience preferred. 10+ years of experience working with data infrastructure, with a focus on big data technologies. Proficiency in big data technologies such as Spark, Presto/ Trino, Kubernates. Strong programming skills in languages such as Java, Scala. Extensive experience in designing, building, and maintaining scalable, fault-tolerant distributed systems. Demonstrated expertise in multi-threading and concurrency programming. Familiar with database systems, both SQL and NoSQL. Proven ability to collaborate with other teams to define system requirements, identify potential solutions, and test and integrate systems. Capacity to troubleshoot and resolve complex data infrastructure problems. Strong communication skills, both written and verbal. Ability to work effectively in a team

NVIDIA is looking for an experienced software engineer with infrastructure experience to become a senior member of the Cloud Foundations Automation - Development Team. We build and manage the automation ecosystem supporting NVIDIA's GPU Cloud and NVIDIA SuperPod deployments. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most hard-working and dedicated people on the planet working for us. If you're creative and autonomous, we want to hear from you! What you'll be doing: Developing software to enable efficient network design, deployment and day 2 management. Building product focused software solutions, used by internal and external customers. Helping us as we transform our workflows and organization into a centrally orchestrated configuration management framework, operating at scale across geographies. Owning and driving integrations with various service APIs such as Cloud Service Providers, to automate creation of environments and auto populate data sources in turn. Building on open source software, designing and implementing data structures and UI interfaces to automate processes from equipment purchase to device config generation to deployment to operations. Streamlining deployment mechanisms and life cycle operations Developing modern service architectures around streaming data and event pipelines. Working with infrastructure domain experts on true, zero touch deployment solutions and utilizing best of breed high performance computing management solutions. Be a proactive problem solver, looking out for new opportunities to improve our services and customer experience. Communicate readily with your peers across the organization, b

By submitting your resume, you’re expressing interest in our 2027 RDSS (Research and Development Substitute Services) program. Please confirm your eligibility with the local district office before applying the role. NVIDIA's invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company”. We are looking to grow our company, and grow our teams with the smartest people in the world. What you’ll be doing: You will work with ground breaking technologies for the Tegra SoC and various NVIDIA embedded platforms Implement power and thermal management software features in Linux Kernel and user space Collaborate with power architects, hardware and software engineers on usecase power estimation, power and performance optimization What we need to see: MS in CS, CE, EE, Systems Engineering or related software/hardware engineering major Software development experience with a significant focus on Linux Excellent C programming/debugging skills within Linux kernel and user space software Background with working on embedded systems and ARM processor specific System-level debugging experience and problem-solving skills Excellent communication skills Ways to stand out from the crowd: Experience in working with the Linux and open-source software communities Understanding of the Linux power management features (scheduler, dynamic frequency scaling, runtime power management, su