Remote Dev Jobs
4 jobs available
Analog DevicesRemote1w ago
Headquarters: Philippines, Bonifacio Global City URL: http://analog.com About Analog Devices Analog Devices, Inc. (NASDAQ: ADI ) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, AI, and software technologies into solutions that combat climate change, reliably connect humans and the world, and help drive advancements in automation and robotics, mobility, healthcare, energy and data centers. With revenue of more than $11 billion in FY25, ADI ensures today's innovators stay Ahead of What's Possible. Learn more at www.analog.com and on LinkedIn and X . Senior Design Verification Engineer About the Role As a Senior Design Verification Engineer at Analog Devices, you will lead verification planning and execution for complex digital and mixed-signal designs. Working independently with minimal supervision, you'll leverage your expertise to architect advanced verification environments, mentor junior engineers, and drive innovation in verification approaches. You'll provide strategic solutions to diverse technical challenges while representing ADI in technical forums and customer interactions. This career-level position involves collaborating across organizational boundaries to ensure the quality and reliability of our cutting-edge products. Key Responsibilities Lead Verification Strategy : Architect and implement comprehensive verification strategies for complex digital/mixed-signal designs Environment Development : Drive innovation in UVM-based verification environment development for sophisticated mixed-signal products Coverage and Metrics : Establish and oversee verification metrics including code and functional coverage goals across multiple projects Debug Leadership : Lead debug efforts for complex design issues spanning digital and mixed-signal domains Technical Mentorship : Provide technical guidance and mentoring to junior verification engineers Cross-Functiona
Apetan Consulting · 🇺🇸 United StatesRemote3w ago
Job Title : Robotics Software Engineer / Remote Location : Remote Job Summary We are looking for a Robotics Software Engineer to develop, test, and maintain software for robotic systems. The ideal candidate will work with cross-functional teams to build reliable, high-performance robotics applications and improve system functionality. Key Responsibilities Design, develop, and maintain software for robotic systems. Develop algorithms for robot control, navigation, and automation. Integrate softw…
Muxon · 🇩🇪 Munich, GermanyRemote57y ago
Salary Transparency: This position is intended for candidates with more than 7 years of professional experience . The salary range varies depending on experience, between €120,000 – €150,000 (OTE) . Work model: Full-time, fully remote within Germany, with onboarding at the Dresden head office and occasional in-person events. Location: Germany, preferably in the Rhine-Main, Berlin, Munich, Düsseldorf, or Cologne/Bonn regions. Muxon is a small, globally active recruitment agency and is conducting this search on behalf of our partner, an innovative industrial robotics company operating at the intersection of Physical AI and software-defined automation. We are looking for an experienced Solutions Architect who can translate complex business needs into scalable IT/OT architecture strategies and support enterprise customers in their automation journey. Aufgaben Translate customer business goals into platform value narratives, architecture principles, and adoption strategies. Co-design target IT–OT architectures for software-defined automation and Physical AI across multi-site environments. Lead maturity assessments and architecture workshops with business, IT, and OT stakeholders. Build phased transformation roadmaps with clear risk mitigation and value realization plans. Support Sales in executive-level conversations, business cases, and long-term framework agreements. Identify expansion opportunities across sites, use cases, and regions. Ensure architectural continuity across the full customer lifecycle. Qualifikation 8+ years of experience as an Enterprise Architect, Solution Architect, or IT/OT Transformation Architect. Proven experience in large enterprise environments and automation domains. Strong understanding of cloud and enterprise IT architectures (OT experience is not required). Confidence working with C-level stakeholders. Excellent workshop facilitation, structuring, and abstraction skills Business-outcome driven mindset with ownership, curiosity, and pragma
Peregrine Technologies GmbH · 🇩🇪 Berlin, GermanyRemote57y ago
About Peregrine Based in Berlin, we're leveraging the power of AI to transform cameras into intelligent devices, enhancing road safety and urban mobility on a global scale, while preserving privacy at all times. At Peregrine, diversity and international collaboration fuel innovation. We unite the brightest minds with strong academic backgrounds and rich industry experience in robotics and machine learning, spanning from the tech hubs of Silicon Valley to the engineering powerhouses of Europe. Our team boasts alumni from leading automotive giants like Bosch, Volkswagen, IAV, and TomTom and institutions such as the ETH in Zurich. We're on the hunt for brilliant, dynamic, and passionate individuals eager to tackle challenging problems and make a tangible impact. Tasks The Role As a Senior Machine Learning Engineer, you will own the design, training, and on-device deployment of the computer vision models at the heart of our product. You will work at the intersection of research and production, turning state-of-the-art vision techniques into reliable systems that run within strict latency and privacy constraints on resource-constrained edge hardware. Your key tasks will include: Design, train, and optimize deep learning models for object detection, semantic segmentation, pose estimation, and tracking. Port and deploy models to resource-constrained edge hardware, achieving single-digit millisecond latency without cloud dependencies. Build and maintain robust vision pipelines from data ingestion through training to production inference. Apply model compression techniques such as quantization, pruning, knowledge distillation, and neural architecture search to meet strict performance budgets. Develop synthetic data and domain adaptation pipelines to close the sim-to-real gap. Profile inference pipelines end-to-end to identify and eliminate bottlenecks on target silicon. Translate cutting-edge academic research into highly reliable, production-grade systems. Collaborate close