{"schemaVersion":"jobsearcher.job.v1","id":"b6041e8283257a618692ef11","url":"https://jobsearcher.com/jobs/b6041e8283257a618692ef11","canonicalUrl":"https://jobsearcher.com/jobs/b6041e8283257a618692ef11","title":"Robotics Software Engineer","description":"Company Overview\nVerne Robotics is building intelligent robotic arms that can learn new skills in hours, not months. Backed by Y Combinator and top-tier Silicon Valley investors, we’re turning physical AI into reality — helping industries facing critical labor shortages (manufacturing, logistics, and more) automate back-of-house tasks like packaging, kitting, and folding.\nOur flagship platform combines affordable robotic hardware with cutting-edge imitation learning algorithms, enabling reliable, sample-efficient robots that deliver customer value from day one. We’re already live with pilot partners and scaling fast. The founding team brings experience from Apple, Stanford, and Microsoft, with deep expertise in robotics, embodied AI, and large-scale machine learning.\nThe Role\nWe’re looking for a talented Robotics Software Engineer to design and build the core systems that power Verne’s robots in the real world. This is a hands-on role where your work will directly translate to physical robots performing customer-critical tasks. You’ll work across the full robotics software stack, from low-level sensor and actuator interfaces, to deploying large-scale policy learning pipelines, to shipping reliable features that customers depend on. Beyond just writing code, you’ll help design solutions, lead engineering efforts, and think cross-functionally to bridge hardware, machine learning, and product requirements.\nWhat You’ll Do\nBuild and optimize robotics software in Python and C++, spanning device drivers, control interfaces, and high-level APIs that power real-world deployments.\nIntegrate and deploy ML policies (PyTorch) into visuomotor control loops, ensuring efficient inference on edge hardware.\nDesign and test training pipelines for policy learning, including dataset preparation, augmentation, and scaling across massive multi-modal datasets (video, teleop trajectories, sensor streams).\nDevelop infrastructure for teleoperation and autonomy, including real-time data streaming, low-latency WebRTC systems, and fallback human-in-the-loop control.\nPrototype new robot capabilities by collaborating closely with the hardware and research teams, translating experimental ideas into production-ready features.\nSystematically evaluate and test policies through lab trials, and live customer POC. Measuring performance, robustness, and safety at scale.\nContribute to cloud + edge scaling efforts, including AWS-based data ingestion pipelines, IoT fleet management, and distributed training/serving infrastructure.\nTake ownership of engineering projects end-to-end, from design discussions and architecture, to implementation, testing, and deployment in the field.\nWork cross-functionally with product, research, and customer teams to ensure the systems you build align with real-world needs and unlock tangible customer value.\nQualifications\nB.S., M.S., Ph.D. in computer science or related fields.\nStrong programming skills in Python (you write clean, efficient, production-ready code)\nSolid experience with PyTorch and modern ML workflows\nSystems engineering skills (networking, concurrency, performance)\nAt least 3 years of full-time work experience for candidates with a B.S. in related fields. 1 years of experience for M.S. or Ph.D. candidates.\nExperience with robotic arms, embedded systems, etc (e.g., Arduinos, motors, robot arms)\nPreferred\nExperience with real-time systems (cameras, sensors, streaming)\nHands-on with AWS services (EC2, IoT, WebRTC)\nWhy Join Us\nAt Verne, you won’t just be writing code, you’ll be shaping the future of physical AI. You’ll see your work run on real robots, in real customer environments, with immediate impact. You’ll join a small, world-class team where your contributions matter and your growth is accelerated.\nDetails\nLocation: South San Francisco, CA (on-site required)\nCompensation: Competitive salary + meaningful equity\nPerks: Free meals vouchers, hardware access, health benefits, PTO\nThis is a rare chance to join a YC-backed robotics startup early and help build the foundation of the company. If you’re excited about robots, passionate about solving hard problems, and eager to see your work come alive in the real world — we’d love to hear from you.\nCompensation Range: $150K - $200K","company":"Verne Robotics","rawCompany":"verne robotics","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-08-04T15:14:56.081Z","occupations":[{"code":"17-2199.08","title":"Robotics Engineers","slug":"robotics-engineers"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Robotics Software Engineer","description":"Company Overview\nVerne Robotics is building intelligent robotic arms that can learn new skills in hours, not months. Backed by Y Combinator and top-tier Silicon Valley investors, we’re turning physical AI into reality — helping industries facing critical labor shortages (manufacturing, logistics, and more) automate back-of-house tasks like packaging, kitting, and folding.\nOur flagship platform combines affordable robotic hardware with cutting-edge imitation learning algorithms, enabling reliable, sample-efficient robots that deliver customer value from day one. We’re already live with pilot partners and scaling fast. The founding team brings experience from Apple, Stanford, and Microsoft, with deep expertise in robotics, embodied AI, and large-scale machine learning.\nThe Role\nWe’re looking for a talented Robotics Software Engineer to design and build the core systems that power Verne’s robots in the real world. This is a hands-on role where your work will directly translate to physical robots performing customer-critical tasks. You’ll work across the full robotics software stack, from low-level sensor and actuator interfaces, to deploying large-scale policy learning pipelines, to shipping reliable features that customers depend on. Beyond just writing code, you’ll help design solutions, lead engineering efforts, and think cross-functionally to bridge hardware, machine learning, and product requirements.\nWhat You’ll Do\nBuild and optimize robotics software in Python and C++, spanning device drivers, control interfaces, and high-level APIs that power real-world deployments.\nIntegrate and deploy ML policies (PyTorch) into visuomotor control loops, ensuring efficient inference on edge hardware.\nDesign and test training pipelines for policy learning, including dataset preparation, augmentation, and scaling across massive multi-modal datasets (video, teleop trajectories, sensor streams).\nDevelop infrastructure for teleoperation and autonomy, including real-time data streaming, low-latency WebRTC systems, and fallback human-in-the-loop control.\nPrototype new robot capabilities by collaborating closely with the hardware and research teams, translating experimental ideas into production-ready features.\nSystematically evaluate and test policies through lab trials, and live customer POC. Measuring performance, robustness, and safety at scale.\nContribute to cloud + edge scaling efforts, including AWS-based data ingestion pipelines, IoT fleet management, and distributed training/serving infrastructure.\nTake ownership of engineering projects end-to-end, from design discussions and architecture, to implementation, testing, and deployment in the field.\nWork cross-functionally with product, research, and customer teams to ensure the systems you build align with real-world needs and unlock tangible customer value.\nQualifications\nB.S., M.S., Ph.D. in computer science or related fields.\nStrong programming skills in Python (you write clean, efficient, production-ready code)\nSolid experience with PyTorch and modern ML workflows\nSystems engineering skills (networking, concurrency, performance)\nAt least 3 years of full-time work experience for candidates with a B.S. in related fields. 1 years of experience for M.S. or Ph.D. candidates.\nExperience with robotic arms, embedded systems, etc (e.g., Arduinos, motors, robot arms)\nPreferred\nExperience with real-time systems (cameras, sensors, streaming)\nHands-on with AWS services (EC2, IoT, WebRTC)\nWhy Join Us\nAt Verne, you won’t just be writing code, you’ll be shaping the future of physical AI. You’ll see your work run on real robots, in real customer environments, with immediate impact. You’ll join a small, world-class team where your contributions matter and your growth is accelerated.\nDetails\nLocation: South San Francisco, CA (on-site required)\nCompensation: Competitive salary + meaningful equity\nPerks: Free meals vouchers, hardware access, health benefits, PTO\nThis is a rare chance to join a YC-backed robotics startup early and help build the foundation of the company. If you’re excited about robots, passionate about solving hard problems, and eager to see your work come alive in the real world — we’d love to hear from you.\nCompensation Range: $150K - $200K","datePosted":"2026-08-04T15:14:56.081Z","dateModified":"2026-08-04T15:14:56.081Z","hiringOrganization":{"@type":"Organization","name":"Verne Robotics","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"b6041e8283257a618692ef11"},"url":"https://jobsearcher.com/jobs/b6041e8283257a618692ef11"}}