{"schemaVersion":"jobsearcher.job.v1","id":"0d33f9f6868073602fc4e73d","url":"https://jobsearcher.com/jobs/0d33f9f6868073602fc4e73d","canonicalUrl":"https://jobsearcher.com/jobs/0d33f9f6868073602fc4e73d","title":"Software Engineer","description":"Company Overview\n\nVerne is building physical AI to make physical work as scalable as software and bring general-purpose robots to every business. We develop robots, foundation models, and the tools that turn them into reliable industrial deployments.\n\nOur open-weight world action model, Verne V0.5, brings together video and action learning. Alongside it, we build data and training systems, a fine-tuning platform, and inference and control software. Our work is grounded in real deployments: learning new tasks efficiently, adapting to different environments, and operating reliably in production.\n\nThe Role\n\nWe’re looking for a talented 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.\n\nWhat You’ll Do\n\nBuild and optimize robotics software in Python and C++, spanning device drivers, control interfaces, and high-level APIs that power real-world deployments.\n\nIntegrate and deploy ML policies (PyTorch) into visuomotor control loops, ensuring efficient inference on edge hardware.\n\nDesign and test training pipelines for policy learning, including dataset preparation, augmentation, and scaling across massive multi-modal datasets (video, teleop trajectories, sensor streams).\n\nDevelop infrastructure for teleoperation and autonomy, including real-time data streaming, low-latency WebRTC systems, and fallback human-in-the-loop control.\n\nPrototype new robot capabilities by collaborating closely with the hardware and research teams, translating experimental ideas into production-ready features.\n\nSystematically evaluate and test policies through lab trials and live customer proofs of concept, measuring performance, robustness, and safety at scale.\n\nContribute to cloud + edge scaling efforts, including AWS-based data ingestion pipelines, IoT fleet management, and distributed training/serving infrastructure.\n\nTake ownership of engineering projects end-to-end, from design discussions and architecture, to implementation, testing, and deployment in the field.\n\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.\n\nQualifications\n\nB.S., M.S., Ph.D. in computer science or related fields.\n\nStrong programming skills in Python (you write clean, efficient, production-ready code)\n\nSolid experience with PyTorch and modern ML workflows\n\nSystems engineering skills (networking, concurrency, performance)\n\nAt least 3 years of full-time work experience for candidates with a B.S. in related fields. 1 year of experience for M.S. or Ph.D. candidates.\n\nExperience with robotic arms, embedded systems, etc (e.g., Arduinos, motors, robot arms)\n\nPreferred\n\nExperience with real-time systems (cameras, sensors, streaming)\n\nHands-on with AWS services (EC2, IoT, WebRTC)\n\nWhy Join Us\n\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.\n\nDetails\n\nLocation: South San Francisco, CA (on-site required)\n\nCompensation: Competitive salary + meaningful equity\n\nPerks: Free meals vouchers, hardware access, health benefits, PTO\n\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.\n\nCompensation Range: $140K - $200K","company":"Verne","rawCompany":"verne","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-11-11T09:17:59.902Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"17-2199.08","title":"Robotics Engineers","slug":"robotics-engineers"},{"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":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Software Engineer","description":"Company Overview\n\nVerne is building physical AI to make physical work as scalable as software and bring general-purpose robots to every business. We develop robots, foundation models, and the tools that turn them into reliable industrial deployments.\n\nOur open-weight world action model, Verne V0.5, brings together video and action learning. Alongside it, we build data and training systems, a fine-tuning platform, and inference and control software. Our work is grounded in real deployments: learning new tasks efficiently, adapting to different environments, and operating reliably in production.\n\nThe Role\n\nWe’re looking for a talented 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.\n\nWhat You’ll Do\n\nBuild and optimize robotics software in Python and C++, spanning device drivers, control interfaces, and high-level APIs that power real-world deployments.\n\nIntegrate and deploy ML policies (PyTorch) into visuomotor control loops, ensuring efficient inference on edge hardware.\n\nDesign and test training pipelines for policy learning, including dataset preparation, augmentation, and scaling across massive multi-modal datasets (video, teleop trajectories, sensor streams).\n\nDevelop infrastructure for teleoperation and autonomy, including real-time data streaming, low-latency WebRTC systems, and fallback human-in-the-loop control.\n\nPrototype new robot capabilities by collaborating closely with the hardware and research teams, translating experimental ideas into production-ready features.\n\nSystematically evaluate and test policies through lab trials and live customer proofs of concept, measuring performance, robustness, and safety at scale.\n\nContribute to cloud + edge scaling efforts, including AWS-based data ingestion pipelines, IoT fleet management, and distributed training/serving infrastructure.\n\nTake ownership of engineering projects end-to-end, from design discussions and architecture, to implementation, testing, and deployment in the field.\n\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.\n\nQualifications\n\nB.S., M.S., Ph.D. in computer science or related fields.\n\nStrong programming skills in Python (you write clean, efficient, production-ready code)\n\nSolid experience with PyTorch and modern ML workflows\n\nSystems engineering skills (networking, concurrency, performance)\n\nAt least 3 years of full-time work experience for candidates with a B.S. in related fields. 1 year of experience for M.S. or Ph.D. candidates.\n\nExperience with robotic arms, embedded systems, etc (e.g., Arduinos, motors, robot arms)\n\nPreferred\n\nExperience with real-time systems (cameras, sensors, streaming)\n\nHands-on with AWS services (EC2, IoT, WebRTC)\n\nWhy Join Us\n\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.\n\nDetails\n\nLocation: South San Francisco, CA (on-site required)\n\nCompensation: Competitive salary + meaningful equity\n\nPerks: Free meals vouchers, hardware access, health benefits, PTO\n\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.\n\nCompensation Range: $140K - $200K","datePosted":"2026-11-11T09:17:59.902Z","dateModified":"2026-11-11T09:17:59.902Z","hiringOrganization":{"@type":"Organization","name":"Verne","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"0d33f9f6868073602fc4e73d"},"url":"https://jobsearcher.com/jobs/0d33f9f6868073602fc4e73d"}}