Advanced Development Engineer Jobs

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 Lead hardware circuit design, schematic capture, and layout review for next-generation, high-density, and high-throughput networking platforms. Evaluate and integrate advanced switching architectures, management subsystems, and cutting-edge high-speed interconnect technologies. Drive hardware architecture design, system bring-up, high-speed signal integrity (SI) validation, and root-cause failure analysis. Partner with mechanical, thermal, and power engineering teams to address challenges related to high power density, thermal dissipation, and system-level reliability. Own BOM structure and support factory deployment to ensure seamless transition of high-layer-count PCBAs from NPI to mass production. Collaborate with cross-functional software, firmware, QA, and compliance teams throughout the entire product lifecycle. Q ualifications Bachelor’s degree or above in Electrical Engineering or a related discipline. 5+ years of hands-on experience in high-complexity system-level hardware design, ideally focused on enterprise-grade networking or high-performance infrastructure equipment. Deep technical understanding of high-speed Ethernet design, high-speed differential signals (advanced SerDes, PCIe, multi-gigabit/ultra-high-speed interfaces), and high-density PCB design rules. Practical experience with complex power d

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. The Opportunity Adyen is building a top-tier AI engineering organization in Amsterdam, San Francisco and Madrid to drive our next chapter of innovation using AI globally across the entire company. This is a highly technical, hands-on role focused on the exploration and application of cutting-edge AI research within the financial technology sector. As a Senior AI Research Engineer, you will operate with a high degree of autonomy and responsibility , delivering strategic, high-impact outcomes that bridge the gap between advanced AI research and production-grade applications at a global scale, potentially impacting trillions of dollars in transactions annually. What You'll Do: Innovate and Deploy: Drive the execution of Adyen's AI strategy , focusing on the practical application of Generative AI (GenAI) and other AI methodologies in finance . This includes contributing to Adyen's efforts in key research areas such as AI agents for data analysis and operational workflows , human-in-the-loop for integrity risk , and development of foundation models . For instance, you might contribute to initiatives like the Data Agent Benchmark for Multi-step Reasoning (DABStep) , which evaluates AI agents on real-world data analysis tasks, including those from the financial sector. Build Production-grade Applications: Bridge the gap between cutti

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. Requirements Develop and maintain embedded networking products based on Marvell switch solutions, such as the Enterprise Fortress Gateway. Work directly with arm64 Linux systems, including kernel-level resource management (cgroup, memory handling, OOM prevention). Perform throughput tuning and ensure system stability under high-load and edge-case scenarios. Debug and resolve complex network and system issues, particularly those arising from real-world customer setups involving advanced topologies. Collaborate with hardware engineers on platform bring-up and system-level optimization. Leverage Marvell SDKs and toolchains, including CPSS, for switch configuration, diagnostics, and control. (Bonus) Utilize or integrate DPDK-based architecture for advanced performance use cases. Remain flexible and ready to handle a wide range of tasks based on project and customer needs, including support, feature integration, testing, and documentation.

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role We are seeking a Forward Deployed Software Engineer to join a newly-formed team focused on developing advanced Command and Control (C2) Software for Autonomous Systems for use in operational and tactical missions. This role involves building, integrating, and deploying state-of-the-art, full-stack solutions that combine sensors, effectors, UxVs, and intelligent decision-making systems to enable users to effectively execute and manage a variety of mission profiles that employ autonomous systems. You will work alongside other experts in sensing, artificial intelligence, and systems engineering to build and deliver solutions that redefine complex military and civilian mission scenarios in the real world. Core Responsibilities Build, test, integrate, and deploy mission-critical full-stack software solutions for C2 of multi-modal autonomous systems Integrate full-stack Autonomy C2 solutions into Palantir platform and with AI and autonomy software solutions such sensor and data fusion services, agentic decision making engines, and robotic control systems "Make things work" on the in the cloud, on-prem, and in hybrid-cloud environments, including tackling challenges in deployment, integration, security, and user experience Partner with multidisciplinary teams, including experts in sensing and fusion, artificial intelligence, systems engineering, user experience, and hardware and robotics experts to deliver well integrated solutions What We Value Proven experience in software development of user-facing full-stack systems, ideally (but not required) experience with developing user interfaces for graphical, textual, and/or ve

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role We are seeking a Forward Deployed Software Engineer to join a newly-formed team focused on developing advanced Command and Control (C2) Software for Autonomous Systems for use in operational and tactical missions. This role involves building, integrating, and deploying state-of-the-art, full-stack solutions that combine sensors, effectors, UxVs, and intelligent decision-making systems to enable users to effectively execute and manage a variety of mission profiles that employ autonomous systems. You will work alongside other experts in sensing, artificial intelligence, and systems engineering to build and deliver solutions that redefine complex military and civilian mission scenarios in the real world. Core Responsibilities Build, test, integrate, and deploy mission-critical full-stack software solutions for C2 of multi-modal autonomous systems Integrate full-stack Autonomy C2 solutions into Palantir platform and with AI and autonomy software solutions such sensor and data fusion services, agentic decision making engines, and robotic control systems "Make things work" on the in the cloud, on-prem, and in hybrid-cloud environments, including tackling challenges in deployment, integration, security, and user experience Partner with multidisciplinary teams, including experts in sensing and fusion, artificial intelligence, systems engineering, user experience, and hardware and robotics experts to deliver well integrated solutions What We Value Proven experience in software development of user-facing full-stack systems, ideally (but not required) experience with developing user interfaces for graphical, textual, and/or ve

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role We are seeking a Forward Deployed Software Engineer to join a newly-formed team focused on developing advanced autonomous systems for use on the edge and in austere environments for military and commercial uses. This role involves building, integrating, and deploying state-of-the-art solutions that combine sensors, actuators, unmanned systems, and intelligent decision-making systems to provide remote and autonomous control of individual and swarms of systems. As a part of this team, you will contribute directly to the development and deployment of autonomous systems that integrate sensors (IMU, autopilot, cameras, radars, RF, and other modalities) with continuous and real-time response actuation, path planning, and other kinetic and non-kinetic systems. You will work alongside other experts in sensing, artificial intelligence, and systems engineering to build and deliver solutions that redefine complex real world scenarios. Core Responsibilities Build, test, integrate, and deploy mission-critical software and AI solutions for agent autonomy and navigation, sensor and data fusion, and response actuation using modern technologies and methodologies. Integrate Palantir autonomy software with a range of sensors, actuators, and autonomous platforms. "Make things work" on devices on the edge, on-prem, and in hybrid-cloud environments, including tackling challenges in deployment, integration, networking, security, hardware, and user experience. Partner with multidisciplinary teams, including experts in sensing and fusion, artificial intelligence, systems engineering, user experience, and hardware and robotics experts to deliver well

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Authentication & Tokenization Team Operating at the intersection of high-grade security and conversion optimization, our Authentication and Tokenization systems deliver robust solutions for global commerce. The Adyen Tokenization solution securely vaults payment credentials to enable seamless, friction-free checkout experiences worldwide while ensuring adherence to localized market regulations. Our Authentication engine dynamically optimizes transaction flows to eliminate checkout friction while maintaining strict compliance. Both products are core pillars of Adyen Uplift , an advanced, AI-powered payment optimization suite designed to drive peak performance for global enterprise merchants. By capitalizing on Adyen's vast, unparalleled global payments data, Adyen Uplift offers intelligent, AI-powered solutions that help businesses maximize payment conversions, streamline fraud management, and reduce the overall cost of transactions. Based in one of the world's most dynamic fintech hubs, our engineering team navigates intricate compliance frameworks, including the RBI's Card-on-File Tokenization (CoFT) and multi-factor authentication mandates. We design and scale low-latency, highly resilient distributed systems that process millions of daily transactions. Joining this team means taking complete, end-to-end ownership of mission-c

Location - Hybrid This is a hybrid role based out of our Gurugram, India office, 3 days in the office, 2 days remote. About Us Sauce Labs is the world’s largest full-lifecycle, test automation platform, and the company behind Selenium. Trusted by 80% of the world’s top ten largest financial institutions and over 300,000 enterprise users, Sauce Labs provides the only AI platform capable of turning business intent into autonomous testing and quality assurance. With a proprietary dataset of 8.7 billion test runs, Sauce Labs empowers the Fortune 2000 to bridge the gap between AI-driven code generation and enterprise-grade software quality. Learn more at http://saucelabs.com . Release Assurance at the Speed of AI | Meet the new Sauce Labs About the Team We’re a small advanced tech team that takes ideas from “someone had a hunch” to “customers are using it”—usually in days, not sprints. This is a high ownership team: talking to whoever has the problem, deciding what’s worth building, cutting scope, shipping, and then deciding whether to double down or move on. Required Skills Deep fluency in at least one modern general-purpose language—and the ability to pick up others quickly. We work across TypeScript/Node, Go, and Python, and you’ll touch more than one. We care far more that you know one language inside out—its type system, concurrency model, testing story, etc.—than that you’ve used our specific stack. An ideal candidate would be comfortable: Reading and modifying an unfamiliar codebase without a guided tour Writing and maintaining tests that hold up in CI, not just on your laptop Publishing and versioning something other people depend on — a CLI, an SDK, a package Debugging across a boundary you don’t own (a third-party API, someone else’s service, a CI runner) Please note our Privacy Policy for Applicants when applying for a job at Sauce Labs. Sauce Labs is proud to be an Equal Opportunity employer and values diversity at our company. We do not discriminate on

About Us Infinitum has raised the bar for a new generation of motor that is better for the planet and people. The company’s patented air core motors offer superior performance in half the weight and size, at a fraction of the carbon footprint of traditional motors, making them pound for pound the most efficient in the world. Infinitum motors open up sustainable design possibilities for the machines we rely on to be smaller, lighter and quieter, improving our quality of life while also saving energy and reducing waste. Based in Austin, Texas, Infinitum is led by a team of industry experts and pioneers. To learn more, visit goinfinitum.com . Position: Principal Engineer, PCB Technology Location: Austin, TX (HQ) Reports To: Chief Technology Officer Job Overview The Principal Engineer, PCB Technology reports to the CTO and is responsible for directing the development and continuous improvement of Infinitum’s PCB stators. This includes definition, system verification testing as well as the direct support to the R&D, Manufacturing and Quality teams. This individual is a key contributor to the qualification of new stator designs that are produced in-house, or from supplier partners using a wide variety of laboratory and analytical equipment. The candidate is expected to possess and/or quickly gain complete knowledge of the Characterization Lab equipment and its use. The individual is expected to add to Infinitum’s Intellectual Property portfolio by leveraging novel approaches in design or methods that result in performance improvements and/ or cost reductions. The candidate directs the activities of the Stator CAM team outputting NC and test data files for the shop floor and process routes (batch cards). Job Description · Define and develop manufacturing process for heavy copper PCBs. · Specify and engage PCB manufacturing equipment suppliers in process qualification. · Work with the Product Engineering and Advanced Manufacturing groups to transfer products to p

About Pinecone Pinecone is the trusted AI knowledge company. Its trusted AI knowledge platform—including its Database, Nexus, and Marketplace products—power accurate, fast, and cost-effective AI applications for more than 10,000 customers and 1M developers worldwide. Pinecone's mission is to make AI knowledgeable. For more information, visit pinecone.io . About the Team and Role: We are hiring a senior/staff software engineer to help design and build core components of our next-generation knowledge retrieval system built for the AI era – search and retrieval infrastructure that powers high-quality, scalable, and enterprise-grade agentic systems. You’ll build the framework that allows our customers to connect knowledge–synthesized from structured and unstructured data–to modern LLM-powered applications, leveraging the world’s best-in-class vector DB supporting semantic search and hybrid retrieval. This role is ideal for someone who loves backend system architecture, distributed systems, and applied AI infrastructure. It is a high impact role with significant ownership across architecture, performance, and system reliability. Responsibilities: Design and build scalable platform components leveraging advanced retrieval via query planning, semantic and hybrid search, metadata-aware search, and LLM generation Design and build optimized indexing pipelines for structured and unstructured data Build backend services for semantic and hybrid retrieval, knowledge graph construction, and retrieval orchestration Improve retrieval quality through evaluation and observability frameworks Design APIs for internal and external user and agentic consumers Optimize latency, throughput and cost across large-scale inference and retrieval workloads Drive technical direction for reliability and security What You’ll Bring to the Table: To thrive in this role, you don't need to check every single box, but you should be deeply passionate about how to turn data into knowledge. Systems Expertise

About Pinecone Pinecone is the trusted AI knowledge company. Its trusted AI knowledge platform—including its Database, Nexus, and Marketplace products—power accurate, fast, and cost-effective AI applications for more than 10,000 customers and 1M developers worldwide. Pinecone's mission is to make AI knowledgeable. For more information, visit pinecone.io . About the Team and Role: We are hiring a senior/staff software engineer to help design and build core components of our next-generation knowledge retrieval system built for the AI era – search and retrieval infrastructure that powers high-quality, scalable, and enterprise-grade agentic systems. You’ll build the framework that allows our customers to connect knowledge–synthesized from structured and unstructured data–to modern LLM-powered applications, leveraging the world’s best-in-class vector DB supporting semantic search and hybrid retrieval. This role is ideal for someone who loves backend system architecture, distributed systems, and applied AI infrastructure. It is a high impact role with significant ownership across architecture, performance, and system reliability. Responsibilities: Design and build scalable platform components leveraging advanced retrieval via query planning, semantic and hybrid search, metadata-aware search, and LLM generation Design and build optimized indexing pipelines for structured and unstructured data Build backend services for semantic and hybrid retrieval, knowledge graph construction, and retrieval orchestration Improve retrieval quality through evaluation and observability frameworks Design APIs for internal and external user and agentic consumers Optimize latency, throughput and cost across large-scale inference and retrieval workloads Drive technical direction for reliability and security What You’ll Bring to the Table: To thrive in this role, you don't need to check every single box, but you should be deeply passionate about how to turn data into knowledge. Systems Expertise

This is Adyen At Adyen, we’re engineered for ambition. We empower our teams with the culture and support they need to own their careers. The people of Adyen are motivated problem-solvers who tackle unique technical challenges at scale, delivering innovative and ethical solutions to help businesses achieve their ambitions faster. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Senior Machine Learning Engineer Adyen is looking for a Senior Machine Learning Engineer to join our team in Amsterdam, someone with experience of building and operating robust machine learning systems at scale in production environments. You will be responsible for designing, productionizing and maintaining machine learning services that power data products at Adyen. Teams Currently Hiring: Optimise: Optimize Intelligence at Adyen is a specialized team of Machine Learning Scientists and Data Analysts focused on maximizing transaction success, minimizing transaction costs, and driving payment performance at a global scale. We build and scale advanced ML/DL solutions that operate over massive, complex decision spaces, determining the optimal path for every single transaction in real time. Our systems evaluate high-dimensional data streams to dynamically select the optimal authentication methods, apply smart payment message optimizations, and orchestrate intelligent transaction routing. Our models live-score millions of daily transactions, balancing coupled cost and performance objectives simultaneously. If you are passionate about solving intricate combinatorial challenges and pushing the boundaries of adaptive decision-making systems, join us in shaping the future

Wireless Regulatory Engineer – SAR About the Team The Consumer Devices team at OpenAI builds products that bring advanced AI capabilities into thoughtfully designed consumer experiences. We work across hardware, software, design, and research to develop reliable products from early exploration through production. About the Role We’re looking for a Wireless Regulatory Engineer to support RF exposure compliance for consumer hardware. You’ll work closely with RF, antenna, hardware, software, and regulatory teams throughout the product development lifecycle, helping ensure products meet applicable requirements while maintaining a high bar for performance and user experience. This role is based in Mountain View, CA. We use a hybrid work model of four days in the office per week and offer relocation assistance to new employees. In this role, you will: Develop and execute RF exposure test and validation strategies for consumer wireless products. Partner with engineering teams to evaluate product designs and identify potential compliance risks throughout development. Perform and analyze RF exposure measurements and communicate findings clearly to cross-functional teams. Support product development from early prototypes through validation, certification, and production. Coordinate testing with external laboratories and review results and supporting documentation. Translate applicable regulatory requirements into practical engineering guidance. Partner with RF and antenna teams to balance regulatory requirements with product performance. Develop tools and workflows that improve testing efficiency, consistency, and data analysis. Investigate issues, identify root causes, and work with engineering teams to develop effective solutions. Support global regulatory certification activities for wireless consumer products. You might thrive in this role if you: Have a Master’s degree or equivalent experience in Electrical Engineering, Computer Engineering, RF Engineering, or a related

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. Anthropic is at the forefront of AI research, dedicated to developing safe, ethical, and powerful artificial intelligence. Our mission is to ensure that transformative AI systems are aligned with human interests. We are seeking a Research Engineer to join our Pre-training team, responsible for developing the next generation of large language models. In this role, you will work at the intersection of cutting-edge research and practical engineering, contributing to the development of safe, steerable, and trustworthy AI systems. Key Responsibilities: Conduct research and implement solutions in areas such as model architecture, algorithms, data processing, and optimizer development Independently lead small research projects while collaborating with team members on larger initiatives Design, run, and analyze scientific experiments to advance our understanding of large language models Optimize and scale our training infrastructure to improve efficiency and reliability Develop and improve dev tooling to enhance team productivity Contribute to the entire stack, from low-level optimizations to high-level model design Qualifications: Advanced degree (MS or PhD) in Computer Science, Machine Learning, or a related field Strong software engineering skills with a proven track record of building complex systems Expertise in Python and experience with deep learning frameworks (PyTorch preferred) Familiarity with large-scale machine learning, particularly in the context of language models Ability to balance research goals with practical engineering constraints Strong problem-solving skills and a results-oriented mindset Excellent communication skills

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. Anthropic is at the forefront of AI research, dedicated to developing safe, ethical, and powerful artificial intelligence. Our mission is to ensure that transformative AI systems are aligned with human interests. We are seeking a Research Engineer to join our Pretraining team, responsible for developing the next generation of large language models. In this role, you will work at the intersection of cutting-edge research and practical engineering, contributing to the development of safe, steerable, and trustworthy AI systems. Key Responsibilities: Conduct research and implement solutions in areas such as model architecture, algorithms, data processing, and optimizer development Independently lead small research projects while collaborating with team members on larger initiatives Design, run, and analyze scientific experiments to advance our understanding of large language models Optimize and scale our training infrastructure to improve efficiency and reliability Develop and improve dev tooling to enhance team productivity Contribute to the entire stack, from low-level optimizations to high-level model design Qualifications: Advanced degree (MS or PhD) in Computer Science, Machine Learning, or a related field Strong software engineering skills with a proven track record of building complex systems Expertise in Python and experience with deep learning frameworks (PyTorch preferred) Familiarity with large-scale machine learning, particularly in the context of language models Ability to balance research goals with practical engineering constraints Strong problem-solving skills and a results-oriented mindset Excellent communication skills a