Systems Research Engineer Jobs

About AiDASH AiDASH is leading the PreventionFirst™movement for electric utilities and transforming grid resilience through its pioneering platform that unifies vegetation, asset, storm, and wildfire intelligence. Powered by SatelliteFirst™ Inspection & Monitoring, AiDASH delivers comprehensive visibility across the entire grid at the right frequency and budget, using the right data modality. More than 200 customers trust AiDASH to keep the lights on, spend where it counts, and defend every decision, Securing Tomorrow across every mile of the grid. Learn more at www.aidash.com. The PreventionFirst movement is growing, and so is the recognition behind it. In 2026, Forbes named AiDASH one of America's Best Startup Employers for the 4th consecutive year, and TIME included AiDASH among America's Top GreenTech Companies for the 3rd year in a row. Deloitte Technology Fast 500 ™ ranked AiDASH No. 12 in the San Francisco Bay Area, and No. 59 overall in their selection of the top 500 for 2024. Join us in Securing Tomorrow Together! The Role We’re looking for a Staff Engineer to architect and build the services behind new products incubated in our product pods. In this role, you will own back-end architecture for multi-tenant SaaS products from first pilot through production scale, make and defend the language and framework calls for each new product, and design the APIs and tool surfaces that let AI agents work with our data. This is a hands-on role: you will write code, ship pilots, and set the technical bar for the engineers around you. How you’ll make an impact: Architect multi-tenant SaaS and distributed back-end systems that scale with customer and data growth Design PostgreSQL schemas, query patterns, and tenancy isolation models built for performance and security Build well-structured APIs and expose product capabilities as tool surfaces for AI agents using MCP or similar protocols Make a

About the Team Our Robotics team is focused on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings. Working across the entire model stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the constraints of physical systems to improve peoples’ lives. About the Role We are seeking Engineering Technicians to support the assembly, testing, and prototyping of custom electromechanical actuators for advanced robotic systems. You will build and test hardware from engineering drawings and procedures through inspection, troubleshooting, and rework, partnering closely with mechanical, electrical, manufacturing, and test engineers. These roles focus on hands-on work with precision electromechanical hardware, including stator prototypes, motor and actuator assemblies, and mechanical and electrical testing. You will help turn engineering designs into validated hardware while improving build records, work instructions, and repeatable assembly and test practices for future robotic platforms. This role is based in San Francisco, CA, and requires in-person presence 5 days a week. In this role, you will: Each opening focuses on actuator builds, testing, or stator prototyping, with responsibilities aligned to the selected specialty. Actuator builds: assemble subassemblies and complete actuators from drawings, bills of materials, and work instructions, checking fit, orientation, torque, routing, and workmanship. Testing: set up and run established mechanical and electrical tests, confirm the setup against the procedure, record measurements, and identify unexpected results. Stator prototyping: support winding, insulation, termination, bonding, inspection, and rework using the selected build process and documented instructions. Troubleshoot build and test issues with engineers. Isolate problems through inspection and meas

About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. Responsibilities (What he/she will do after join UI): Design and build the core synchronization and metadata handling logic for UniFi Drive on Windows, enabling reliable access to files across local and cloud environments. Build platform-integrated file experiences by working with Windows system behaviors and APIs, with a focus on correctness, performance, and native user expectations. Tackle non-trivial system problems that emerge in real-world usage, such as handling change, coordination, and edge cases across devices and environments. Collaborate closely with backend and infrastructure teams to align on data models, APIs, and end-to-end reliability. Work with product and design partners to translate user workflows into robust technical solutions, balancing system constraints with usability. Continuously improve performance, stability, and maintainability through measurement, profiling, and iterative refinement. Minimum Qualifications (MUST-haves) : 3+ years of professional software development experience, or equivalent experience, building and shipping production systems. Hands-on development experience on Windows, with familiarity with the Windows development ecosystem and real-world production workflows. Strong computer science fundamentals, with the ability to reason clearly about complex system behavior and e

About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. Responsibilities (What he/she will do after join UI): Design and build the core synchronization and metadata handling logic for UniFi Drive on macOS, enabling reliable and intuitive access to files across local and cloud environments. Build platform-integrated file experiences by working with macOS system behaviors and APIs, with a focus on correctness, performance, and meeting native user expectations. Tackle non-trivial system problems that arise in real-world usage, such as handling change, coordination, and edge cases across devices and environments. Collaborate closely with backend and infrastructure teams to align on data models, APIs, and end-to-end reliability. Work with product and design partners to translate user workflows into robust technical solutions, balancing system constraints with user experience. Continuously improve performance, stability, and maintainability through measurement, profiling, and iterative refinement. Minimum Qualifications (MUST-haves) : 3+ years of professional software development experience, or equivalent experience, building and shipping production systems. Hands-on development experience on Apple platforms (macOS and/or iOS), with familiarity with the Apple development ecosystem and real-world production workflows. Strong computer science fundamentals, with the ability to reason cl

About Sapience AI Sapience AI is the collective intelligence platform for professional communities. We sit above the CRMs, AMS platforms, and knowledge bases that organizations already run, and we turn the expertise scattered across them into something every member can search, act on, and share. The intelligence a community needs is already inside it. Most organizations just cannot reach it. Knowledge lives in silos, in legacy systems, in the heads of a few experts, and in fragmented records no one can connect. We change that. Our work is grounded in four commitments: technology elevates people and never replaces them, the best expertise is already inside the community, everything is built on trust, and every deployment is purpose-driven for the organization it serves. Let’s achieve more, together. Where this role sits This is a research role focused on the models at the foundation of collective intelligence. You study, adapt, and advance the foundational models that power how Sapience AI understands language, knowledge, and reasoning. You work where research meets the platform: designing experiments, evaluating models, adapting them to the demands of professional communities, and feeding what you learn into the COGENT architecture and MINERVA. You bring scientific rigor to a fast-moving field, and you turn that rigor into advances the product can actually use. Why this role exists The quality of collective intelligence depends on the models beneath it. How well the platform understands a community’s language, grounds its answers, and reasons over knowledge starts with foundational model work done well. The field moves quickly, and not every advance is real or ready. Someone has to separate genuine progress from noise and turn the real advances into something the platform can rely on. The Foundational Model Research Data Scientist does that. You run the experiments, evaluate honestly, and translate frontier progress into dependable capability for Sapience AI. What y

Datadog AI Research — Scholars Program with Carnegie Mellon University Datadog AI Research (DAIR) is partnering with Carnegie Mellon University to support a small number of PhD students working on open research problems grounded by ongoing efforts at Datadog/DAIR. You will frame a problem, run your own experiments, and write up what you find, with compute and data at a scale most academic labs cannot provide. You will collaborate with colleagues working on the same questions. The Lab And The Research: DAIR is an industrial research lab motivated by practical challenges in observability and software operation: detecting and diagnosing failures, understanding complex production environments, and helping engineers operate software more effectively. The lab focuses on creating specialized foundation models, post-training and evaluating AI agents, and building frontier-scale machine learning systems. By combining fundamental research with Datadog's large-scale, real-world data and infrastructure, the lab develops new AI capabilities and translates them into practical systems with meaningful impact. Internship projects are shaped with your DAIR mentor and your CMU faculty advisor. You do not need prior experience with observability, monitoring, or infrastructure. What You'll Do: Own a research project end to end: framing the question, running the experiments, writing it up Work directly with a DAIR mentor engaged in the same problem, and stay connected to your advisor and lab Publish, and use the work toward your dissertation See research reach production, when it works Who You Are: Currently enrolled in a PhD program at Carnegie Mellon in machine learning, computer science, statistics, or a related field Depth in at least one area relevant to the research above Comfort running real experiments — training models, working with GPUs, reading and reimplementing recent papers Evidence you can do research: conference or workshop papers, preprin

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don't just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset, rapidly testing emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake is about empowering enterprises to achieve their full potential, and people too. With a culture that's all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology and careers to the next level. We are hiring an AI Research Scientist (New Grad) for our AI Research team. Our team is pushing the frontier of autonomous, self-improving AI systems — building agents that reason, code, and learn at scale inside the Snowflake Data Cloud. This role sits at the intersection of agentic AI and reinforcement learning,

Intro Canopy is seeking a seasoned and pragmatic Sr Mobile Software Engineer to design and build our mobile offerings. This is a high-impact, hands-on role for an engineer who thrives on solving complex problems and bridging the gap between business needs and technical execution. We are looking for a leader who can take end-to-end ownership of critical projects, mentor fellow engineers, and make strategic decisions that shape our technical future. If you are a builder who can navigate ambiguity, translate user needs into elegant technical solutions, and lead by example, we want to hear from you. About Canopy Canopy is committed to creating safer and more supportive environments for those on the front lines of care. Our mission is to help hospitals ensure that healthcare workers feel safe, appreciated, and empowered every day to deliver the highest quality of care. We develop and deploy critical safety technology, including our wearable duress system and Real-Time Location System (RTLS) portfolio, delivered as a comprehensive service to enterprise healthcare systems across the United States. Join our tight-knit group of passionate builders, designers, and product thinkers who value curiosity, ownership, and a commitment to quality. We believe that the best products are built when talented individuals are given the autonomy to do their best while working in a supportive and collaborative environment. Key Responsibilities Lead the design, architecture, and implementation of critical, user-facing features and backend services. Take end-to-end ownership of projects, from initial ideation and technical design through to deployment and post-launch maintenance. Partner closely with Product Managers, Designers, and business stakeholders to shape the product roadmap and translate business requirements into robust, scalable technical solutions. Mentor and guide other engineers, fostering a culture of technical excellence, knowledge sharing, and constructive feedback through co

Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What is the opportunity? Every go-to-market decision at Intercom, who we target, who owns the account, what we know about them, what we should say next - rests on a foundation of account and contact data. Getting that foundation right is one of the highest-leverage engineering problems in the company: a single account hierarchy fix can re-route territory, pipeline credit and forecast for thousands of accounts at once. This role owns that foundation. You will build and run the systems that decide what an account is , resolving duplicates, stitching subsidiaries into corporate hierarchies, sourcing new accounts and contacts into our CRM, and enriching them with firmographic, technographic and intent signals. Increasingly using LLMs and web research rather than off-the-shelf vendors. Your work is used daily by Sales, Marketing

About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. Join us in Prague and help build the next generation of security products. The Ubiquiti Prague office is looking for a Endpoint Security Software Engineer . Candidates should be prepared to work from our Prague office at least two times per week. Responsibilities: Design and develop endpoint security software Build reliable, high-performance software across modern operating systems Collaborate with engineers across backend, cloud, networking, and frontend Help shape the architecture of new security products Requirements: Proven experience developing endpoint security products (EDR, endpoint protection, endpoint management, or similar) is required Experience building complex software products Strong understanding of operating systems and systems programming Excellent problem-solving skills and engineering judgment Ability to work independently within a high-performing engineering team Professional proficiency in English Benefits: Competitive salary and 5 weeks of vacation per year Discretionary bonuses based on individual performance Flexible working hours, home office Access to all the latest Ubiquiti products and prototypes for home use and tests Top floor office near Andel with terrace and amazing view of Prague Kitchen packed with food, snacks & sodas, meal allowan

About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. Responsibilities - Ownership of worldwide regulatory Compliance certifications for Ubiquiti products. - Set out strategies for optimizing Compliance testing in a fast moving development environment. - Keep track of ongoing changes in worldwide EMI/EMC/ESD, RF emissions, safety and environmental Compliance matters. - Involvement in the design for Compliance in the early product design phases. - Work independently to perform EMC pre-compliance scans and ESD testing. - Work with third parties to coordinate EMI/EMC/ESD testing using test Labs in Taiwan, China, and USA - Compile and archive all certification documentation. - Analyze data and prepare reports. Must-haves : - 3-5 years as a Compliance engineer in a company environment. - Willingness to travel to test labs in Taiwan and if needed USA / China - Exceptional communication and organizational skills. - Self-Management Skills and work independently for tasks. - Ability to set up and run systems for RF and EMI testing. - Eperxience with RF such as BT, WiFi 2.4G/5G/6E/60G, Lora, WWAN..etc. - Experience Wifi and regional radio spectrum for public bands - Experience working with third parties to accomplish outsourced work. - Knowledge of cyber security testing Nice-to-haves: - Experience with the Inte

About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. Join forces with us on our mission to build a better IT industry. We are looking for a Fullstack Software Engineer to combine strong poduct taste and UX judgment with AI-native engineering to ship production-quality software for the UniFi Fabrics platform, Ubiquiti's license-free, multi-site network management system. Please note that applicants must live in Sweden and hold a valid work permit at the time of application to be considered for this role. Responsibilities: Build end-to-end software solutions across UniFi, Ubiquiti's license-free, multi-site network management system, that spanns frontend workflows, backend services, APIs, cloud infrastructure, identity, permissions, provisioning, orchestration, observability, and admin experiences Identify high-impact opportunities by understanding user needs, operational pain points, and product gaps and turning such opportunities into better software services Use AI coding agents such as Claude Code and Cursor to accelerate multi-file implementation, testing, refactoring, documentation, debugging, and iteration while keeping strong engineering judgment Collaborate closely with PMs, UX/UI designers, frontend developers, backend developers, mobile developers, cloud teams, QA/AQA, and DevOps across Ubiquiti to deliver complete product experiences Ensure systems are secure, reliable, s

About the Team The Post-Training Frontiers team is responsible for training the frontier agents OpenAI ships to the world (GPT-Next). We train the flagship agentic models behind Codex, ChatGPT, and the API through large-scale reinforcement learning. The team’s work spans four areas. First, execution and science: working with teams across OpenAI to decide what can go into the final model and how, using scientific experiments and evals that are representative of the final pipeline so issues can be recognized early. Second, RL scaling: executing the final large-scale reinforcement learning run, making sure GPUs are used efficiently and training stays healthy. Third, research: improving horizontal capabilities like instruction following, factuality, memory, and multi-agent behavior, where the team’s broad visibility helps identify cross-cutting improvements across teams and domains. Fourth, engineering: maintaining the infrastructure stack and internal tools to ensure that both the final run and all integrations go as smoothly as possible and that the systems are easy to work with. About the Role This role focuses on keeping our frontier RL training runs fast, reliable, and unblocked. You will work across engineering and infrastructure problems as they emerge, from scaling and orchestration issues to inference bottlenecks, numerical problems, and hardware failures, as well as supporting large horizontal integrations in the big run, like multi-agent capabilities or memory. This is a role for a strong generalist who quickly learns anything needed for the task, has high attention to detail, debugs deeply, and is motivated by fixing the highest-impact problem in front of the team. In this role, you will: Keep large-scale async RL training runs moving by jumping into the most urgent engineering and infrastructure problems. Debug issues across training systems, inference, orchestration, scaling, and distributed infrastructure. Improve the reliability and efficiency of RL trai

About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. We’re looking for a Senior AI/Computer Vision Engineer to build AI systems end to end, from defining the problem and data requirements to training models, validating them, deploying on edge devices, and integrating them into C++ pipelines. This is a hands-on engineering role for someone who can take applied AI projects from concept to production and is comfortable working across modeling, evaluation, deployment, and system integration. Responsibilities: Own AI and computer vision projects end to end, from technical definition to production deployment; Translate product needs into system, data, model, and evaluation requirements; Define data collection, annotation, and validation strategies; Train and optimize deep learning models for real-world vision and multimodal applications; Build testing, benchmarking, and failure analysis workflows; Optimize models for edge devices with attention to latency, memory, throughput, and accuracy tradeoffs; Integrate models into production inference systems, including C++ edge pipelines; Work closely with software and product teams to ship reliable AI features at scale. Requirements: MS or PhD in Computer Science, Electrical Engineering, or a related field, or equivalent practical experience; Strong Python skills; Solid experience with PyTorch, TensorFlow, or similar frameworks; 4+ years of expe

About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. We’re looking for a Senior AI/Computer Vision Engineer to build AI systems end to end, from defining the problem and data requirements to training models, validating them, deploying on edge devices, and integrating them into C++ pipelines. This is a hands-on engineering role for someone who can take applied AI projects from concept to production and is comfortable working across modeling, evaluation, deployment, and system integration. Responsibilities: Own AI and computer vision projects end to end, from technical definition to production deployment; Translate product needs into system, data, model, and evaluation requirements; Define data collection, annotation, and validation strategies; Train and optimize deep learning models for real-world vision and multimodal applications; Build testing, benchmarking, and failure analysis workflows; Optimize models for edge devices with attention to latency, memory, throughput, and accuracy tradeoffs; Integrate models into production inference systems, including C++ edge pipelines; Work closely with software and product teams to ship reliable AI features at scale. Requirements: MS or PhD in Computer Science, Electrical Engineering, or a related field, or equivalent practical experience; Strong Python skills; Solid experience with PyTorch, TensorFlow, or similar frameworks; 4+ years of expe