{"id":96554,"url":"https://alion.io/job/gritt-robotics-inc-robotics-software-perception-ml-engineer-2","title":"Robotics Software - Perception ML Engineer","company":{"id":3486,"name":"Gritt","domain":"gritt.ai","url":"https://alion.io/company/gritt-robotics-inc","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":88,"open_postings":17,"ghost_share":0.118,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":76,"computed_at":"2026-10-19T05:45:15Z"}},"role":"Robotics","role_family":"Robotics","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["South San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":118000,"max_usd":230000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":99},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Blender","optional":false},{"name":"Gazebo","optional":false},{"name":"Isaac Sim","optional":false},{"name":"Localization","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Synthetic Data","optional":false},{"name":"Unity","optional":false},{"name":"World Models","optional":false}],"status":"live","first_seen_at":"2026-05-26T23:49:05Z","employer_posted_date":"2026-05-26","last_verified_at":"2026-10-19T17:58:37Z","board_verified":true,"closed_at":null,"days_open":145,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":145},"description":"Gritt 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 founding team 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.\nRole: Robotics Software - Perception ML\nLocation: SF Bay Area (in-person)\nAbout the role\nWe’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.\nWhat you’ll get to work on\nDevelop and deploy state-of-the-art perception models for challenging manipulation and navigation problems.\n\nHelp drive our technical approach, with particular focus on real-world deployments.\n\nResearch and develop techniques around 3D scene understanding, detection, segmentation, pose and world/video models.\n\nDevelop robust metrics to establish performance of large vision models.\n\nWork with multimodal data (e.g. cameras, LIDAR, tactile).\n\nDevelop and improve real/synthetic data pipelines for challenging perception problems.\n\nBuild scalable training and validation infrastructure.\n\nCollaborate with other teams in the company.\n\nWhat we look for\nM.S/Ph.D degree in robotics, vision, computer science, mechanical engineering, electrical engineering or other engineering disciplines (or equivalent experience).\n\n4+ years of hands-on experience developing perception solutions for robotics applications like manipulation and navigation.\n\nExperience working on one or more of detection, segmentation, pose estimation, tracking, 3D reconstruction, world models and VLMs.\n\nExperience working with synthetic data pipelines and robotics simulation infrastructure (e.g. Isaac Sim, Gazebo, Blender, Unity).\n\nExtensive experience with Python and common ML frameworks like PyTorch.\n\nShould be comfortable taking ownership of tasks with light supervision.\n\nMust have excellent problem-solving skills.\n\nLegally authorized to work in the United 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