Software Engineer Distributed Systems Jobs

At Carbon, our mission goes beyond 3D printing. We are enabling creators everywhere to make what the world needs, right now. Our company is built on the idea that diverse fields of study must come together to solve intractable problems. We have grand ambitions to create technology that will influence industry around the world. You will be joining a diverse team with a vibrant culture, where team success is as important as celebrating individual contributions. Help us change the world and we will help you change yours. Carbon’s Application Engineering team owns the collaboration with visionary partners from concept to production readiness. As a Staff Application Engineer, you are a seasoned technical expert who leads complex, cross-functional programs from concept through production and increasingly shapes the tools, workflows, and technical strategy that scale Carbon’s Application Engineering practice. You operate with a high degree of autonomy, own outcomes across your programs, and build your influence with stakeholders across the company. You thrive in employing your creative problem-solving abilities and growing your depth of expertise across a variety of functional areas (including software, materials, hardware, product development processes, and cross-functional team leadership). You are comfortable leading engagements with external and internal company stakeholders and can handle tough situations with poise and confidence. Role is based in our Sunnyvale, CA office, working minimum 3 days a week (Tues-Thurs) onsite. Occasional travel to customer locations is required, around 10% of the time (domestic and international). Responsibilities Educate and influence customers on Design for DLS best practices and design for manufacturability, including printer operation, materials, design guidelines, software, and post-processing; guide customers through design, aesthetic, and technical tradeoffs that meet production requirements such as cost and man

SpyCloud is on a mission to make the internet a safer place by disrupting the criminal underground. SpyCloud’s solutions thwart cyberattacks and protect more than 4 billion accounts worldwide. Cybersecurity is an exciting, evolving space, and being at the forefront of the fight to disrupt cybercrime makes SpyCloud a special place to work. If you’re driven to align your career with a fantastic mission, look no further! The ideal candidate possesses a strong understanding of building internal security tooling and data pipelines using public cloud infrastructure. This role will be within SpyCloud Labs, SpyCloud’s in-house Security Research team, and focus on building automation and other internal tooling to facilitate the collection of recaptured third-party breach and malware data. This is a full-time remote role supporting a hybrid workforce. What You'll Do: Design, implement, and maintain internal tooling for acquiring and parsing recaptured underground data. Build and deploy cloud infrastructure using Infrastructure as Code technologies. Build and deploy automated CI/CD pipelines to test and deploy tooling and infrastructure. Collaborate directly with the research team to support the targeting and collection of new data sources. Consistently work to identify improvements and automation opportunities in the recaptured data workflow and ETL pipelines. Participate in security research including investigation of threat actors, malware, and other critical research in support of SpyCloud’s priorities. Requirements: 4+ years of professional software development experience, preferably in the cybersecurity industry Highly skilled with Python. Golang proficiency is a plus. Experience building internal tooling and deploying using Infrastructure as Code technologies (we use Terraform and Ansible). Bachelor’s degree, or equivalent experience, in Math, Science, Engineering, or Business fields. Self-directed with the ability to identify and deliver on tasks with

Who We Are Verkada is transforming how organizations protect their people and places with an integrated, privacy-sensitive AI-powered platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management. We’ve got serious momentum in the market: more than 30,000 customers (including 100+ of the Fortune 500), a $5.8B valuation , more than $1 billion in annualized bookings, and backing from CapitalG, Sequoia Capital, General Catalyst, Felicis Ventures, Next47 and more. Physical AI is one of the most consequential technology shifts of our time, and Verkada is at the center of it. You can look at all kinds of communities to see our platform’s impact in the world. It's the retailer that uses our agentic AI to deter theft before it happens. The warehouse that uses AI-powered alerts to make sure its team is protected on the floor with proper PPE. The school that’s alerted to a threat in real-time and triggers a lockdown in seconds, not minutes. We’re rapidly scaling this impact: today, more than 2 million Verkada devices are deployed across 170+ countries. About the Role We are a small, dynamic team focused on building cloud-managed access control systems. Access Control is Verkada’s second major product line. Our Access Control solution allows users to manage their doors, schedules, and user credentials from virtually anywhere on their laptop or phone. We are building a line of embedded devices with screens, and we need an amazing UI engineer to build interfaces for these devices. You’ll have the challenge of building the kind of intuitive experiences that our customers have come to expect from our web and mobile software, but in a much more constrained hardware environment. You’ll also be helping develop a UI framework for all Verkada screen devices now and in the future. We consider our team a startup within a startup, with a fair amount of ownership and autonomy. You’ll be working al

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. As a Process Integration Engineer working in the fast-paced DRAM R&D Memory Group, you will be instrumental in developing Micron’s core memory technology serving AI-enabled customers. The R&D development takes place in an industry leading 300mm facility which is adjacent to our newly announced Manufacturing facility (currently under construction). Your focus will be on the development and integration of critical technology which enables future DRAM memory scaling for Micron. You will develop the structural and electrical requirements for one or more modules and work in conjunction with Process Development and supporting teams to seamlessly integrate new module solutions into the entire process flow. Responsibilities include, but not limited to: Engineer and develop novel process flows for critical modules. This includes creating structural and electrical specifications as well as design rules for new process flows. Utilization of creative problem-solving skills to develop and optimize new process flows which improve performance and reduce the cost of future memory chips. Design experiments and analyze results using statistical analysis software. Results are applied to directly enhance yield. (DOE) Work cross-functionally with multiple groups including Design, Product Engineering, Process Development, Modeling, Yield Enhancement, Electrical and Physical Failure Analysis, Parametric, and Quality te

Who We Are Verkada is transforming how organizations protect their people and places with an integrated, privacy-sensitive AI-powered platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management. We’ve got serious momentum in the market: more than 30,000 customers (including 100+ of the Fortune 500), a $5.8B valuation , more than $1 billion in annualized bookings, and backing from CapitalG, Sequoia Capital, General Catalyst, Felicis Ventures, Next47 and more. Physical AI is one of the most consequential technology shifts of our time, and Verkada is at the center of it. You can look at all kinds of communities to see our platform’s impact in the world. It's the retailer that uses our agentic AI to deter theft before it happens. The warehouse that uses AI-powered alerts to make sure its team is protected on the floor with proper PPE. The school that’s alerted to a threat in real-time and triggers a lockdown in seconds, not minutes. We’re rapidly scaling this impact: today, more than 2 million Verkada devices are deployed across 170+ countries. About the Role Verkada is looking for Technical Support Engineers to support our growing base of enterprise customers. As a member of our Technical Support Engineering team, located in San Mateo, supporting the entire line of Verkada cloud-managed building security products. Working independently and collaboratively, you will solve technical issues and advise customers on our platform. This role will report to one of our Technical Support Engineering Managers and is based on-site 5 days per week in San Mateo, CA. What You'll Do Hands-on Troubleshooting: Dive into complex network, hardware, and software problems on Verkada's platform Level Up Fast: Become the go-to expert customers trust for smart system design and integration advice Communicate with Impact: Translate heavy technical concepts into clear, sharp advice on phone calls, li

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . This is a 12-week internship during summer 2027. You'll join Coinbase's Machine Learning team and work alongside senior engineers building ML models and pipelines that make our platform more secure, personalize user experiences, and unlock new use cases for crypto. As an MLE intern, you'll take ownership of a research-to-production project, applying cutting-edge ML techniques to real-world problems at blockchain scale. What you'll do: Develop, deploy, and operate machine learning models and pipelines at production scale Drive an end-to-end research project applying modern ML techniques to solve a defined business problem Partner with senior engineers and product teams to identify new ML applications for blockchain and crypto use cases Present findings and recommendations to cross-functional stakeholders at the conclusion of your internship Required Skills and Experience: Currently pursuing a Ph.D. with published or in-progress research in machine learning, deep learning, or a closely related field Demonstrated proficiency building and training models using ML frameworks such as PyTorch or TensorFlow Experience applying ML techniques including supervised learning, unsupervised learning, or reinforcement learning to structured or unstructured datasets Familiarity with software engineering fundamentals including version control, testing, and writing production-qua

Apply early for priority consideration. Gallup has limited openings for this internship, and the position will be filled quickly. Learn what it takes to keep a global technology platform running at its best. As a site reliability engineer intern at Gallup, you’ll work alongside experienced engineers to strengthen the performance and reliability of the systems behind Gallup’s global platform. You’ll gain hands-on experience with observability, automation and incident response while contributing to real projects and building skills you can carry into your technology career. What You’ll Do During your internship, you will: Help build and improve observability using tools like Dynatrace and PagerDuty to monitor applications running on AWS Create dashboards, alerts and metrics that give engineering teams real-time insight into application performance and system reliability Support automated alerting workflows that integrate directly with Slack Shadow and support incident response to learn how Gallup detects, resolves and prevents issues before they affect customers Write scripts and automation that reduce repetitive operational work Collaborate with a progressive technology team of site reliability engineers, DevOps engineers and software developers What You Need Enrollment in an associate, bachelor’s or graduate degree program in computer science, MIS or a related field required Basic knowledge of and/or experience with AWS or another cloud platform required Basic knowledge of and/or experience with Windows or Linux server administration, networking or infrastructure required Classroom or professional experience working with one or more of the following technologies required: Python, Bash, PowerShell, Terraform, Docker, Amazon ECS, GitHub Exposure to monitoring or incident management tools such as Dynatrace, Grafana or PagerDuty preferred Enrollment at a college or university within an 80-mile radius of San Francisco, California, required Anticipated graduation between

Senior Product Engineer II Team: Engineering Prolific Prolific is not just another player in the AI space – we are the architects of the human data infrastructure that's reshaping the landscape of AI development. In a world where foundational AI technologies are increasingly commoditized, it's the quality and diversity of human-generated data that truly differentiates products and models. The role As a Senior Product Engineer II you will be the senior technical contributor for your team, partnering with the Engineering Manager to set technical direction and ensure delivery excellence. You will balance hands-on contribution with technical leadership, serving as the go-to person for technical decisions and architecture within your team's domain. You are increasingly outward-facing, representing your team's technical work beyond its boundaries. What you’ll be doing in the role Define Technical Direction: Partner with the EM to shape the team’s technical roadmap, strategy, and architectural direction. Drive Engineering Excellence: Own code quality, testing, reliability, performance, and engineering standards across the team. Lead Technical Discovery: Guide technical planning, discovery, solution design, and decision-making, balancing short- and long-term needs. Collaborate and Influence: Facilitate cross-team technical collaboration, contribute to engineering-wide initiatives, and act as a technical liaison. Grow the Team: Actively mentor and develop engineers at any level, within and beyond the team. What you'll bring to this role Technical Leadership: Proven experience leading technical direction, making architectural decisions, and solving complex engineering problems. Engineering Expertise: Deep expertise in software engineering, architecture, testing, reliability, performance, and maintainable system design. Product Mindset: Ability to connect technical decisions to customer and business outcomes while balancing del

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Key Responsibilities: Contribute to the development of new product opportunities by assisting with the overall design, layout, and optimization of DRAM Memory array/Peripheral Logic/Analog circuits Actively leverage AI‑based tools, agentic workflows, and automation frameworks to: Accelerate schematic optimization and design‑space exploration Assist in parasitic analysis, sensitivity studies, and corner coverage Improve debug efficiency across simulation and silicon learning loops Define semicustom methodology for memory design Collaborate with CAD, EDA, and software teams to integrate AI‑driven flows into simulation, verification, and design sign‑off environments. Oversee and manage the layout process including floor-planning, placement, and routing Perform circuit-level verification including functional, timing, power and reliability analysis using industry standard and Micron-specific simulators and tools. Contribute to cross-group communication to work towards standardization and group success Drive innovation into the future memory generations and design methodology within a dynamic work environment Minimum Qualifications Master’s degree in electrical or computer engineering with 4-8 years of experience in memory design. Strong fundamentals in CMOS circuit design, device physics and memory operation. Experience with SPICE-based simulation and parasitic extraction. </

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Equipment Engineer, Photo EUV Technology As a Photo EUV Equipment Engineer in Micron, you are responsible for monitoring, sustaining, and improving the equipment and/or processes, while working in partnership with production team members and area engineers. EUV Equipment Engineer also need to monitor tool performance, schedule and work with vendor ASML perform preventative maintenance on assigned tool sets, and use mechanical, electronic and PC/software skills to troubleshoot and repair equipment issues. They are also required to assist with equipment installs, engineering tests, create and modify equipment procedures, increase tool uptime through systematic problem solving and troubleshooting, quality workmanship, and thoroughly document all maintenance. Successful candidates for this position will have: Must be flexible to work any shift and rotate shifts as needed. Strong communication skills in written, verbal, and presentation formats

About the Opportunity You will work in the Everyday Banking domain, within the Payments Team. This is where all payment and card transactions are being managed and processed by modern & high-volume systems that power the best customer experience possible. These teams make banking easy, reliable, seamless and secure - everyday for every customer. This is a hybrid role from Barcelona or Berlin. Our cross-functional teams are passionate about collaboration and sharing knowledge, as well as working with a high degree of autonomy. As an iOS Engineer at N26, you will be encouraged to embrace the latest technological updates and given a platform to work on complex, interesting problems on a daily basis. In this role, you will: Work in cross-functional teams, understand how the entire puzzle fits together instead of just being a solitary piece Take ownership and have an impact on the product Ask "Why?" and be prepared to be asked, "What do you think about it?" Engage in knowledge-sharing within your team as well as beyond Understand and work with Agile development methodologies What you need to be successful: Thorough experience with the Android Platform and Material Design principles Experience with Kotlin Experience with Reactive programming - Kotlin Flows and Coroutines Able to build software with a focus on testability - Test/Behaviour Driven Development, Dependency Injection Experience with Jetpack Compose (nice to have) Skills: Be highly motivated and a fast learner Strong bias for action, and getting things done Language Skills: full professional proficiency in English Traits: Strong call to action and for getting things done Motivation to write code which is well-tested and well-documented Give and receive open, direct and timely feedback What’s in it for you: Accelerate your career growth by joining one of Europe’s most talked about disruptors 🚀. Employee benefits that range from a competitive personal development budget, work from home budget, discounts

Zoox is on an ambitious journey to develop a full-stack autonomous mobility solution for cities and deploy such a robotaxi solution safely and reliably. The System Design and Mission Assurance (SDMA) team plays a foundational role in the company's success, responsible for constructing the safety case and fail-operational design for our autonomous driving robots before public road deployment. We are seeking a System Safety Engineer to perform safety analyses of complex hardware and software systems, specifically Sensing and Perception Systems. You will work across hardware and software domains to develop comprehensive system safety requirements and metrics that ensure safe, fail operational and reliable sensing capabilities for our autonomous vehicle platform. In this role, you will: Define safety requirements for sensing (e.g. camera, lidar, radar) and perception (sensor fusion, ML models) subsystems Lead cross-functional technical projects across Software, Hardware, Operations, Data Science, V&V teams to ensure we have the appropriate data and solutions to support our safety arguments Collaborate with perception, hardware, software, firmware and other systems engineering teams to design safety mechanisms by leveraging ISO 26262 (e.g HARAs, Functional Safety Concepts, etc.) and SOTIF (ISO 21448) standards Work with partner teams to develop safe, fail operational, and cost-optimized, next-generation sensing architectures and guide the selection of next-generation sensors Analyze field and simulation data to root cause issues, identify next steps or validate assumptions Leverage AI/LLM tools to accelerate analysis and automate repetitive processes, improving team efficiency Qualifications BS or MS in a related technical field, such as Electrical/Electronics Engineering, Computer Engineering, Mechanical Engineering, Compu

Mid Level AI Engineer Location: Orlando, FL, USA (Hybrid) | Practice Area: Technology & Engineering | Type: Permanent Build the next generation of AI-powered solutions using Large Language Models, agentic systems, and cutting-edge Generative AI technologies. The Role Capco is seeking a Generative AI Engineer to help design, develop, and deploy intelligent applications powered by Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agent-based architectures. You will work alongside software engineers, product managers, and AI specialists to deliver scalable, production-grade AI solutions that solve complex business challenges and create exceptional user experiences. This is an exciting opportunity to join a fast-growing AI capability, working on innovative solutions that transform how organizations leverage Generative AI technologies. What You’ll Do Design, build, and deploy AI-powered applications using Large Language Models, foundation models, and modern Generative AI frameworks. Develop and optimize Retrieval-Augmented Generation (RAG) solutions leveraging vector databases and enterprise knowledge sources. Create intelligent AI agents and workflows capable of interacting with APIs, external tools, and business systems. Build scalable REST APIs, backend services, and cloud-native architectures to support AI-powered products. Collaborate with cross-functional teams to translate business requirements into robust, production-ready AI solutions. What We’re Looking For 2–3 years of professional software; AI engineering experience. Hands-on experience building applications using Generative AI technologies, Large Language Models, and leading LLM providers such as OpenAI, Anthropic, Gemini, Azure OpenAI, or open-source models. Strong Python development skills with experience building REST APIs, microservices, and scalable backend applications. Practical experience implementing RAG architectures using vector databases such as Pinecone, Weaviate

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! As a Senior Security Engineer you will: Serve as trusted advisor to team’s leadership and partner teams by clearly articulating business risks associated with security issues Lead security operation functions – including vulnerability management, SAST, DAST, detection engineering, and incident response – in CI/CD and cloud-native production environments Integrate security into our applications throughout the software development lifecycle Collaborate with product and development teams, driving the success of larger projects to ensure that software is built and deployed securely without compromising agility and speed Driving and supporting bug bounty program, application security reviews and threat modeling, including code review and dynamic testing Assess and integrate security tools to automate and scale security processes, i.e: evaluate open-source vs vendor solutions Gather and analyze security metrics to address security issues with cross-team dependencies Be a problem solver who is empathetic to developer concerns and will employ constructive and flexible approach to building innovative solutions You may be a good fit if: 5

We are looking for a Senior Solutions Engineer to join our Sales Engineering team. You will partner with Account Executives to qualify, progress, and close revenue opportunities with Fortune 500 prospects — guiding them through demos, architecture discussions, and proofs-of-concept that prove Coder’s value for both human developers and the AI coding agents working alongside them. This is not a scripted-demo-only role. You are equally comfortable running a deep technical proof-of-concept and stepping back to translate a technical win into a business case an economic buyer will act on. You are energized by ambiguity, motivated by winning deals the right way, and capable of bringing the voice of the prospect back into how Coder builds and sells. What you will be doing: Own the technical relationship with prospects through pre-sales, and efficiently manage towards a technical win Demo the Coder platform from the developer, administrator, and AI agent workflow perspectives Install Coder on cloud and on-prem Kubernetes or VM infrastructure Run proofs-of-concept that prove Coder’s value including for agentic and LLM-powered development workflows and accelerate deals Evolve into a subject-matter expert on Cloud Development Environments, agentic AI development, and their business impact Serve as the prospect’s and customer’s voice, routing insights to Engineering and Product Track and report product issues and feature requests using Linear Troubleshoot Coder deployments, networking, and Kubernetes components during evaluation Contribute pull requests to Coder’s documentation What you bring: Minimum 5 years of experience as a Solutions Engineer selling infrastructure or developer tooling Strong customer-facing skills that win trust with technical stakeholders Ability to translate technical hurdles into business value in real time Understand agentic AI software development use cases and advocate passionately where appropriate Comfortable leading architecture demos and deep-div