Verne Robotics

The Role We’re looking for Robot Operators who are passionate about robotics. This is a hands-on role where you will operate bimanual robots in R&D environments. You will follow structured procedures to collect high-quality robot data. This data is foundational to creating robots that perform tasks in the wild autonomously. Some signals you might be a good fit: Trained in a classical instrument really good at video games Can assemble ikea furniture without fear or confidently parallel park Responsibilities Operate bimanual robots following standard operating procedures (SOPs) in R&D environments  Accurately collect data consistent with a high internal quality bar Maintain clear record of completed workflows and label data using internal tooling  Adhere to all safety guidelines in lab setting  Qualifications No prior technical experience required; must demonstrate curiosity, coachability, and consistency Able to lift up to 50 lbs and stand for 2-3 hours consecutively Requires strong attention to detail and a proactive approach, including the confidence to raise questions or flag inconsistencies. Ability to follow written and verbal instructions precisely High school diploma or equivalent Reliable transportation and ability to commute to office location Thrive in a fast paced environment. Bonus Qualifications: Excellent physical coordination, spatial awareness, and focus.  Passion for robotics Benefits & Compensation  Hourly Range: $20 to $30 Expect to work 4 to 8 hours per day, this is a month to month contract role

The Role 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. What You’ll Do 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. 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. 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. 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. Ensure data quality and health: Create ingestion checks, schema validation, deduping, drift detection, and real-time alerting around data freshness and completeness. 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. Work across teams: Partner with hardware, ML, and product to turn raw field data into smarter robots and real customer value—fast. Qualifications B.S., M.S., Ph.D. in computer science or related fields. Strong programming skills in Python (you write clean, efficient, production-ready code) Strong experience in AWS Systems engineering skills (networking, concurrency, performance) 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. Why Join Us 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.