Gritt

<a target="_blank" rel="noopener noreferrer ugc" href="https://www.gritt.ai/">Gritt</a> is an intelligent system that combines robotics and AI to build the infrastructure that pulls society forward. Gritt deploys via simple attachments to common equipment found on construction sites and autonomously performs labor-intensive tasks, verification, and planning. Gritt systems are already building critical infrastructure in the harshest outdoor environments, starting with large-scale solar. The <a target="_blank" rel="noopener noreferrer ugc" href="https://www.gritt.ai/team">founding team</a> includes experts in robotics and AI from Carnegie Mellon, Stanford, and MIT. Gritt is backed by Obvious Ventures, Union Square Ventures, First Round Capital, Climactic, Congruent Ventures, and other leading firms.Role: ML &amp; Cloud Infrastructure Engineer InternLocation: SF Bay Area (in-person) About Internships at Gritt Our internships are scoped projects: you own a defined deliverable end-to-end, work with a dedicated mentor, and demo your work to the whole team. Many interns receive return or full-time offers. This will be an internship for one of two durations: 3 months, or 6 months. We offer competitive salaries, and the opportunity to work on a mission with tremendous climate impact. What you'll get to work on<ul><li>Build and operate training, data, or evaluation infrastructure used daily by the wider SW team.</li><li>Work with GPU clusters, orchestration, and data pipelines at scale.</li><li>Instrument, monitor, and harden the pipeline you ship.</li><li>Test your work on real robots at the office.</li><li>Opportunity to publish (for PhD interns).</li><li>Attend Tier-1 industry conferences.</li></ul>An example project could be anything from an auto-curation pipeline that mines fleet logs for rare events (gusts, occlusions, near-misses) to feed training, to a regression harness that replays field scenarios against each new model release.<h3> What we look for</h3><ul><li>Pursuing BS/MS/PhD in CS or related field.</li><li>Strong Python; familiarity with cloud services (AWS/GCP), containers, and CI/CD.</li><li>Evidence of building infrastructure or data systems.</li><li>Should be comfortable taking ownership of tasks with light supervision.</li><li>Must have excellent problem-solving skills.</li><li>Legally authorized to do an internship in the United States for either 3 months or 6 months.</li></ul><h3> Nice to have</h3><ul><li>Kubernetes, Ray, Spark, Terraform, observability stacks, or ML experiment tooling.</li></ul>

ML & Cloud Infrastructure Engineer Intern

<a target="_blank" rel="noopener noreferrer ugc" href="https://www.gritt.ai/">Gritt</a> is an intelligent system that combines robotics and AI to build the infrastructure that pulls society forward. Gritt deploys via simple attachments to common equipment found on construction sites and autonomously performs labor-intensive tasks, verification, and planning. Gritt systems are already building critical infrastructure in the harshest outdoor environments, starting with large-scale solar. The <a target="_blank" rel="noopener noreferrer ugc" href="https://www.gritt.ai/team">founding team</a> includes experts in robotics and AI from Carnegie Mellon, Stanford, and MIT. Gritt is backed by Obvious Ventures, Union Square Ventures, First Round Capital, Climactic, Congruent Ventures, and other leading firms.Role: Robot Learning Engineer InternLocation: SF Bay Area (in-person) About Internships at Gritt Our internships are scoped projects: you own a defined deliverable end-to-end, work with a dedicated mentor, and demo your work to the whole team. Many interns receive return or full-time offers. This will be an internship for one of two durations: 3 months, or 6 months. We offer competitive salaries, and the opportunity to work on a mission with tremendous climate impact. What you'll get to work on<ul><li>Train policies (imitation learning, RL, or fine-tuned foundation models) for real robot tasks.</li><li>Build data collection and evaluation pipelines; run ablations.</li><li>Deploy policies on hardware and iterate against real-world performance.</li><li>Test your work on real robots at the office.</li><li>Get hands-on with pose estimation, VLM, VLA, 3D scene reconstruction, object detection, and multimodal learning.</li><li>Get the opportunity to publish (for PhD interns).</li><li>Attend Tier-1 industry conferences.</li></ul>An example project could be could be anything from pick-and-place policies for large flexible panels under wind disturbance, to sim-to-real for manipulation from a machine on uneven ground.<h3> What we look for</h3><ul><li>Pursuing MS/PhD in ML, Robotics, CS, or related field (exceptional undergraduates welcome).</li><li>Strong PyTorch; solid grounding in deep learning and one of IL/RL.</li><li>Applied evidence: publications, open-source, or substantial course/competition projects.</li><li>Should be comfortable taking ownership of tasks with light supervision.</li><li>Must have excellent problem-solving skills.</li><li>Legally authorized to do an internship in the United States for either 3 months or 6 months.</li></ul><h3> Nice to have</h3><ul><li>Experience with simulators (Isaac, MuJoCo), VLA/foundation models, tele-op data collection, or real-hardware deployment.</li></ul>

Robot Learning Engineer Intern

<a target="_blank" rel="noopener noreferrer ugc" href="https://www.gritt.ai/">Gritt</a> is an intelligent system that combines robotics and AI to build the infrastructure that pulls society forward. Gritt deploys via simple attachments to common equipment found on construction sites and autonomously performs labor-intensive tasks, verification, and planning. Gritt systems are already building critical infrastructure in the harshest outdoor environments, starting with large-scale solar. The <a target="_blank" rel="noopener noreferrer ugc" href="https://www.gritt.ai/team">founding team</a> includes experts in robotics and AI from Carnegie Mellon, Stanford, and MIT. Gritt is backed by Obvious Ventures, Union Square Ventures, First Round Capital, Climactic, Congruent Ventures, and other leading firms.Role: Robotics Perception Engineer InternLocation: SF Bay Area (in-person) About Internships at Gritt Our internships are scoped projects: you own a defined deliverable end-to-end, work with a dedicated mentor, and demo your work to the whole team. Many interns receive return or full-time offers. This will be an internship for one of two durations: 3 months, or 6 months. We offer competitive salaries, and the opportunity to work on a mission with tremendous climate impact. What you'll get to work on<ul><li>Develop and evaluate perception components on real robot data.</li><li>Build datasets and evaluation harnesses; run experiments and report results.</li><li>Integrate your module into the live robot stack and demo it.</li><li>Get hands-on with pose estimation, VLMs, VLAs, 3D scene reconstruction, object detection, and multimodal learning.</li><li>Test your work on real robots at the office.</li><li>Opportunity to publish (for PhD interns).</li><li>Attend Tier-1 industry conferences.</li></ul>Example projects could be anything from building a robust 6DOF pose estimation stack that can work in harsh degraded outdoor conditions, to shipping a 3D object detection module for our manipulation stack. What we look for<ul><li>Pursuing MS/PhD in CS, EE, Robotics, or related field.</li><li>Strong Python skills; experience with PyTorch and computer vision fundamentals.</li><li>Evidence of applied work: projects, competitions, publications, or industry robotics experience.</li><li>Should be comfortable taking ownership of tasks with light supervision.</li><li>Must have excellent problem-solving skills.</li><li>Legally authorized to do an internship in the United States for either 3 months or 6 months.</li></ul><h3> Nice to have</h3><ul><li>Experience with sensor drivers, CUDA, 3D geometry, or multi-sensor fusion.</li></ul>

Robotics Perception Engineer Intern

<a target="_blank" rel="noopener noreferrer ugc" href="https://www.gritt.ai/">Gritt</a> is an intelligent system that combines robotics and AI to build the infrastructure that pulls society forward. Gritt deploys via simple attachments to common equipment found on construction sites and autonomously performs labor-intensive tasks, verification, and planning. Gritt systems are already building critical infrastructure in the harshest outdoor environments, starting with large-scale solar. The <a target="_blank" rel="noopener noreferrer ugc" href="https://www.gritt.ai/team">founding team</a> includes experts in robotics and AI from Carnegie Mellon, Stanford, and MIT. Gritt is backed by Obvious Ventures, Union Square Ventures, First Round Capital, Climactic, Congruent Ventures, and other leading firms.Role: Software - ML Infrastructure EngineerLocation: SF Bay Area (in-person)About the roleWe’re looking for an experienced ML Infrastructure Engineer to join our team. As an early member, you will play a pivotal role in architecting scalable cloud infrastructure for our AI and data pipelines. You'll need to thrive in a fast-paced startup environment where you'll wear multiple hats and have a direct impact on our product's evolution. Ideally, you have a proven track record of developing and deploying high-performance ML and cloud pipelines in production, and you're passionate about pushing the boundaries of what's possible in robotics with AI.What you’ll get to work on<ul><li>Develop and deploy scalable AI training and validation pipelines in the cloud.</li></ul><ul><li>Spin up distributed pipelines for data ingestion, pre-processing, training and evaluation.</li><li>Deploy monitoring and CI/CD pipelines.</li><li>Enable large-scale evaluation of AI models via cloud-based metrics.</li><li>Enable large-scale evaluation of autonomy software and models via simulations in the cloud.</li><li>Optimize performance, I/O and GPU utilization.</li><li>Build tooling and dashboards for rapid experimentation, orchestration and visualization.</li><li>Work with other teams to integrate cloud tooling into workflows.</li></ul>What we look for<ul><li>Degree in computer science or related engineering disciplines (or equivalent experience).</li></ul><ul><li>4+ years of experience deploying high-performance ML pipelines in production.</li><li>Proficient in Python and comfortable with C++/Go.</li><li>Experience with ML frameworks like PyTorch.</li><li>Experience with IO and data-loading workflows, including formats like Parquet, HDF5, TFRecord etc.</li><li>Experience with deploying on cloud platforms like AWS, GCP or Azure.</li><li>Experience with tooling like Docker, Kubernetes, and Airflow.</li></ul><ul><li>Should be comfortable taking ownership of tasks with light supervision.</li></ul><ul><li>Must have excellent problem-solving skills.</li></ul><ul><li>Legally authorized to work in the United States.</li></ul>

ML Infrastructure Engineer

<a target="_blank" rel="noopener noreferrer ugc" href="https://www.gritt.ai/">Gritt</a> is an intelligent system that combines robotics and AI to build the infrastructure that pulls society forward. Gritt deploys via simple attachments to common equipment found on construction sites and autonomously performs labor-intensive tasks, verification, and planning. Gritt systems are already building critical infrastructure in the harshest outdoor environments, starting with large-scale solar. The <a target="_blank" rel="noopener noreferrer ugc" href="https://www.gritt.ai/team">founding team</a> includes experts in robotics and AI from Carnegie Mellon, Stanford, and MIT. Gritt is backed by Obvious Ventures, Union Square Ventures, First Round Capital, Climactic, Congruent Ventures, and other leading firms.Role: Robotics Software - Perception MLLocation: SF Bay Area (in-person)About the roleWe’re looking for an experienced Perception ML Engineer to join our team. As an early member, you will play a pivotal role in building and shaping the AI capabilities of our robots. You will work on challenging problems around manipulation and navigation in dynamic outdoor environments. You'll need to thrive in a fast-paced startup environment where you'll wear multiple hats and have a direct impact on our product's evolution. Ideally, you have a proven track record of developing and deploying perception ML systems in production, and you're passionate about pushing the boundaries of what's possible in robotics with AI.What you’ll get to work on<ul><li>Develop and deploy state-of-the-art perception models for challenging manipulation and navigation problems.</li></ul><ul><li>Help drive our technical approach, with particular focus on real-world deployments.</li><li>Research and develop techniques around 3D scene understanding, detection, segmentation, pose and world/video models.</li><li>Develop robust metrics to establish performance of large vision models.</li><li>Work with multimodal data (e.g. cameras, LIDAR, tactile).</li><li>Develop and improve real/synthetic data pipelines for challenging perception problems.</li><li>Build scalable training and validation infrastructure.</li><li>Collaborate with other teams in the company.</li></ul>What we look for<ul><li>M.S/Ph.D degree in robotics, vision, computer science, mechanical engineering, electrical engineering or other engineering disciplines (or equivalent experience).</li></ul><ul><li>4+ years of hands-on experience developing perception solutions for robotics applications like manipulation and navigation.</li><li>Experience working on one or more of detection, segmentation, pose estimation, tracking, 3D reconstruction, world models and VLMs.</li><li>Experience working with synthetic data pipelines and robotics simulation infrastructure (e.g. Isaac Sim, Gazebo, Blender, Unity).</li><li>Extensive experience with Python and common ML frameworks like PyTorch.</li></ul><ul><li>Should be comfortable taking ownership of tasks with light supervision.</li></ul><ul><li>Must have excellent problem-solving skills.</li></ul><ul><li>Legally authorized to work in the United States.</li></ul>

Gritt

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ML & Cloud Infrastructure Engineer Intern

Robot Learning Engineer Intern

Robotics Perception Engineer Intern

ML Infrastructure Engineer

Robotics Software - Perception ML Engineer

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