Verne Robotics

<h2>Company Overview</h2>Verne 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.Our 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.<h2>The Role</h2>We’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.<h2>What You’ll Do</h2><ul><li>Build and optimize robotics software in Python and C++, spanning device drivers, control interfaces, and high-level APIs that power real-world deployments.</li><li>Integrate and deploy ML policies (PyTorch) into visuomotor control loops, ensuring efficient inference on edge hardware.</li><li>Design and test training pipelines for policy learning, including dataset preparation, augmentation, and scaling across massive multi-modal datasets (video, teleop trajectories, sensor streams).</li><li>Develop infrastructure for teleoperation and autonomy, including real-time data streaming, low-latency WebRTC systems, and fallback human-in-the-loop control.</li><li>Prototype new robot capabilities by collaborating closely with the hardware and research teams, translating experimental ideas into production-ready features.</li><li>Systematically evaluate and test policies through lab trials, and live customer POC. Measuring performance, robustness, and safety at scale.</li><li>Contribute to cloud + edge scaling efforts, including AWS-based data ingestion pipelines, IoT fleet management, and distributed training/serving infrastructure.</li><li>Take ownership of engineering projects end-to-end, from design discussions and architecture, to implementation, testing, and deployment in the field.</li><li>Work cross-functionally with product, research, and customer teams to ensure the systems you build align with real-world needs and unlock tangible customer value.</li></ul><h2>Qualifications</h2><ul><li>B.S., M.S., Ph.D. in computer science or related fields.</li><li>Strong programming skills in Python (you write clean, efficient, production-ready code)</li><li>Solid experience with PyTorch and modern ML workflows</li><li>Systems engineering skills (networking, concurrency, performance)</li><li>At 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.</li><li>Experience with robotic arms, embedded systems, etc (e.g., Arduinos, motors, robot arms)</li></ul>Preferred<ul><li>Experience with real-time systems (cameras, sensors, streaming)</li><li>Hands-on with AWS services (EC2, IoT, WebRTC)</li></ul><h2>Why Join Us</h2>At 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.<h2>Details</h2><ul><li>Location: South San Francisco, CA (on-site required)</li><li>Compensation: Competitive salary + meaningful equity</li><li>Perks: Free meals vouchers, hardware access, health benefits, PTO</li></ul>This 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.

Robotics Software Engineer

<h2>Company Overview</h2>Verne 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 assembly.Our flagship robot 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.<h2>The Role</h2>We’re looking for a Robotics Data Infrastructure Engineer to own and build the data systems that power Verne’s robots in the real world. This is a hands-on founding engineer role with true ownership and freedom — your work will directly impact robots performing customer-critical tasks every day.You will architect and deploy data pipelines on both AWS and edge devices, manage large-scale multi-modal datasets (images, video, time-series, text, etc.), and build the tooling that connects real-world robot data to training and evaluation workflows. You’ll work across the full robotics software stack, from ingesting sensor data and telemetry, to enabling large-scale policy learning pipelines that drive production robots.Beyond writing great code, you’ll help drive technical decisions, lead cross-functional efforts, and bridge robotics, machine learning, and product requirements into scalable, reliable systems.<h2>What You’ll Do</h2><ul><li>Build and own our data backbone on AWS: Design and run cloud + edge pipelines using services like IoT Core, S3, ECR, Batch, ECS/EKS, and Step Functions. Your work keeps robot data flowing reliably and cost-efficiently from the field into the lab.</li><li>Develop on-device data systems: Build robust, fault-tolerant data capture on edge PCs using MCAP/Protobuf, with clean schema contracts, buffering, and resumable uploads to the cloud.</li><li>Wrangle massive multimodal datasets: Organize and version millions of images, videos, time-series (robot state, force/torque), and annotations. Enforce metadata, retention, and access patterns that scale.</li><li>Build MLOps and DataOps pipelines: Automate data validation, labeling, augmentation, and model training/evaluation using containerized jobs and orchestrators like Batch, Step Functions, Airflow, or Prefect.</li><li>Ensure data quality and health: Create ingestion checks, schema validation, deduping, drift detection, and real-time alerting around data freshness and completeness.</li><li>Build internal tools that unblock others: Develop UIs/CLIs for browsing data, launching jobs, tracking experiments, and debugging robots in the field. Integrate with tools like Foxglove.</li><li>Work across teams: Partner with hardware, ML, and product to turn raw field data into smarter robots and real customer value—fast.</li></ul><h2>Qualifications</h2><ul><li>B.S., M.S., Ph.D. in computer science or related fields.</li><li>Strong programming skills in Python (you write clean, efficient, production-ready code)</li><li>Strong experience in AWS</li><li>Systems engineering skills (networking, concurrency, performance)</li><li>At least 2 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.</li></ul><h2>Why Join Us</h2>At Verne, you won’t just be writing code — you’ll be shaping the future of physical AI. Our mission is simple but ambitious: free humans from tedious manual work by deploying low-cost robotic automation at scale and democratizing bimanual robot manipulators for the world.You’ll build systems that run on real robots, in real customer environments, driving immediate and tangible impact. You’ll join a small, world-class team where your ideas matter, your ownership is real, and your growth is accelerated. If you’re excited by hard problems, fast execution, and the chance to industrialize AI in the physical world, this is the team to be on.<h2>Details</h2><ul><li>Location: South San Francisco, CA (on-site required)</li><li>Compensation: Competitive salary + meaningful equity</li><li>Perks: Free meals vouchers, hardware access, health benefits, PTO</li></ul>

Robotics Data Infrastructure Engineer

<h2>Company Overview</h2>Verne 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 acute labor shortages (hospitality, logistics, manufacturing, and more) automate back-of-house tasks like packaging, kitting, and folding.Our flagship platform combines affordable robotic arm hardware with cutting-edge imitation learning algorithms, enabling reliable, sample-efficient robots that deliver customer value from day one. We’re already working with pilot partners across multiple sectors and scaling rapidly.The founding team brings experience from Apple, Stanford, and Microsoft, with deep expertise in robotics, embodied AI, and large-scale machine learning. At Verne Robotics, we believe general-purpose robotics starts with one well-executed skill at a time, and we’re assembling a world-class team to make it happen.<h2>Description</h2>We’re looking for a sharp, ambitious Engineering Intern to join us. In this role, you’ll get hands-on experience at the intersection of software, hardware, and robotics. You’ll work directly with our fleet of robot arms and sensors in our Bay Area lab, helping to prototype new capabilities, improve reliability, and bring real-world automation to life.Projects may include building teleoperation infrastructure, deploying and testing robot policy models on physical hardware, developing robot infrastructure software, and creating data visualization tools to accelerate iteration. You’ll be contributing to core engineering projects that ship to customers and see your work make an immediate impact.For the right candidate, this role can also serve as a pathway to a full-time Robotics Engineer position. We’re moving fast—and you’ll be in the middle of it.<h2>Key Responsibilities</h2><ul><li>Design and implement manipulation algorithms on real and simulated robot platforms</li><li>Run experiments on physical robot arms, and help improve our tele-operation and control systems</li><li>Work closely with the founding team on high-impact projects spanning perception, control, and systems integration</li><li>Contribute to infrastructure for testing, visualization, and reproducibility of experiments</li><li>Occasionally get hands-on with hardware—assembling robots, swapping sensors, and keeping our fleet running smoothly</li></ul><h2>Qualifications</h2><ul><li>Current BS, MS or PhD student in Robotics, Computer Science, AI, or a related field</li><li>Hands-on experience with robotic systems (e.g., Franka, UR, Kinova) or simulators (e.g., PyBullet, Mujoco)</li><li>Familiarity with modern policy learning techniques (e.g., imitation learning, reinforcement learning, diffusion policies)</li><li>Proficiency in Python</li><li>Have experience in PyTorch</li><li>Passion for physical AI, real-world deployment, and solving hard problems with small teams</li><li>Excellent communication skills and the ability to work independently in a fast-paced environment</li></ul><h2>Details and Compensation</h2><ul><li>Location: Bay Area required, office in South SF</li><li>Duration: 12 weeks</li></ul>Perks: Free meals vouchers, hardware access, mentorship from experienced founders, opportunity to convert to full-time<h2>Join Us</h2>At Verne Robotics, you won’t be one of a hundred interns, you’ll be a core part of the team. You’ll write code that runs on real robots and help shape the future of physical AI. If you’re excited about robots, eager to build fast, and ready to learn a ton, we’d love to hear from you.

Verne Robotics

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Robotics Software Engineer

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