--- title: 'Perception Engineer at moss' canonical: 'https://feeny.ai/job/perception-engineer-moss-san-francisco-f5e7013znn4p' type: 'job' last_seen: '2026-09-05' --- # Perception Engineer at moss - **Company:** moss - **Location:** San Francisco, CA - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-02-13 - **Last confirmed live:** 2026-09-05 - **Apply:** https://jobs.gem.com/moss-ag/am9icG9zdDrb1dKB6f1IAgXm9mBGvGuv ## Job description ## About Us At [moss.ag](https://www.moss.ag/), we build robots to go where humans won't, digitizing the physical outdoor world to make it machine-readable. Starting with tree farms — where a single field holds millions of plants no human has ever fully inventoried. 🌲🤯🌳 We’re a small team of practical engineers with a long-term vision. We focus on real, messy, on-the-ground problems today, while working toward a future where autonomous field robots make harsh outdoor jobs easier and safer. If our mission aligns with how you work and think, we’d love to learn more about you! ## The Role Join us as a key founding engineer. We’re a small, fast-moving team of 7, developing novel perception systems and algorithms to interpret the physical world in challenging, real-world environments. You will own the development and deployment of our 3D perception pipeline. This involves developing novel algorithms and multi-modal models (LiDAR, Camera, GPS & Environmental Data) for understanding farms and enabling autonomous robot operations. We move quickly, solve hard problems, and are excited by the reactions we receive from our customers. We're looking for both full time (in-person) roles and intern candidates for co-ops, summer, and/or part-time. ## Minimum Requirements - Impressive real-world projects beyond the classroom (robotics, perception, mapping, autonomy, etc.) - Hands-on experience with 3D sensor data (LiDAR, radar, depth cameras) - Strong C++ (templates, smart pointers, STL containers, algorithms) - Experience training ML models on custom datasets (data curation, labeling, training/eval loops) - Experience with object detection, semantic segmentation, and/or classical CV / point-cloud methods (e.g., clustering, registration, tracking) ## What You'll Do - Own the full lifecycle of our 3D perception pipeline (research, prototype, production, deployment, iteration) - Build multimodal models and pipelines that fuse LiDAR, cameras, GPS and metadata for 3D detection and analysis - Design robust algorithms for outdoor environments (harsh shadows, lighting shifts, motion blur, dust, severe occlusions) - Help build and maintain ML infrastructure for automated labeling, dataset management, training, and evaluation - Optimize and deploy models for real-time performance on edge hardware (latency, throughput, memory) - Explore new approaches like vision-language-action (VLA) models, imitation learning, and autonomy-oriented perception for robot tasks ## About moss ## Company Overview - **One-liner**: Moss.earth is a climate tech company that develops and tokenizes carbon credits from Amazon Forest conservation and reforestation projects using blockchain, satellite imaging, and machine learning. - **Entity Type**: Private – Series A (raised $10M in Series A, total $13.4M in funding) - **Headquarters**: São Paulo, Brazil - **Founded**: 2020 - **Founders**: Camila Assis (Co-Founder & CMO) and Alexandre Lomaski (Co-Founder & CPO) ## Core Business - **Primary industry**: Carbon credits, carbon offsetting, environmental services, climate tech - **Target customers**: B2B (enterprises offsetting emissions), B2C (individuals compensating their footprint), and forest landowners - **Mission/purpose**: Use technology to protect the Amazon forest and help clients compensate their greenhouse gas emissions, becoming a global reference in the voluntary carbon market. ## Products & Services - **[MCO2 Token]**: The world’s first tokenized carbon credit listed on major global exchanges (Coinbase, Gemini). Each token represents one ton of avoided CO₂ emissions from Amazon forest conservation. - **[Moss Forest (DMRV Platform)]**: A Digital Monitoring, Reporting, and Verification platform that uses satellite imaging, big data, and machine learning to measure carbon stocks and monitor projects in real time. - **Carbon Credit Origination**: End-to-end project development including legal, land, and environmental evaluations for APD (Avoided Planned Deforestation), AUD (Avoided Unplanned Deforestation), ARR (Reforestation), and biochar projects. - **Corporate Carbon Offset Calculator**: B2B tool for companies to calculate and offset their 2023 (and forward) carbon footprint. - **Administrative Compensation Services**: Custom offset solutions for services, products, events, transportation, and cryptocurrency transactions. ## Market Standing - **Valuation/Market Cap**: Not publicly available - **Key Metric – Total Funding**: $13.4M (Seed round $1.6M in 2020, Seed round $1.8M in 2021, Series A $10M in Jan 2022) - **Notable Investors/Partners**: Acre Venture Partners, SP Ventures, The Craftory, Jive Software, Flori Ventures; Exchange partners include Coinbase, Gemini, and Regen Registry - **Growth Signals**: - Recognized as the 8th largest voluntary carbon credit transactor globally in 2021 - Named in *Environmental Finance* survey (2023) - Acquired OnePercent (a carbon offset platform) in 2021 - Expanded physical presence to Manaus, Brazil, and opened offices in Madrid (Spain) and Montevideo (Uruguay) - Great Place to Work® certified for three consecutive years - Employee count: ~7–12 (source variance); international team across Brazil, Uruguay, Spain ## Competitive Advantages - **First mover in tokenized carbon credits**: MCO2 remains the most widely listed tokenized carbon credit on major exchanges, providing liquidity and trust. - **Amazon-exclusive focus**: Deep expertise in the Amazon biome, with projects that deliver environmental co-benefits (biodiversity, habitat conservation). - **Proprietary DMRV platform**: Combines satellite imaging, process automation, and ML for accurate, verifiable carbon measurement, reducing certification costs and time. - **Blockchain-backed transparency**: Every credit is tracked on-chain, allowing users to verify the environmental impact and avoid double-counting. ## Strategic Focus - Expanding project types (especially biochar and reforestation in the Amazon) - Scaling geographic footprint in Latin America and Europe - Deepening Web3 integrations for carbon credit trading and DeFi applications - Strengthening partnerships with large enterprise clients for B2B offset programs - Continuing innovation in remote sensing and AI-driven forest monitoring ## Why Work Here - **Culture**: Small, agile team (under 15 people) with a mission-driven focus on climate action. Rated 3.9/5 on employer review sites, with particularly high marks for compensation (4.3) and work-life balance (4.1). - **Great Place to Work®**: Certified for three consecutive years (2022–2024), indicating strong internal culture. - **International exposure**: Offices in Brazil, Spain, and Uruguay; remote/hybrid options are likely given the distributed team structure. - **Impact**: Directly contributing to Amazon conservation and global carbon markets – a tangible climate impact. - **Tech stack**: Works with blockchain, satellite imagery, big data, and ML – appealing for engineers interested in climate tech. - **Note on Careers Page**: The provided careers link (jobs.gem.com/moss-ag) appears to correspond to a separate company (a farm robotics startup, Moss.ag). For Moss.earth-specific roles, candidates should visit moss.earth or its LinkedIn page. ## Sources 1. [moss.earth (official)](https://moss.earth) 2. [LinkedIn – Moss.earth](https://linkedin.com/company/moss-earth) 3. [Climate Tech List – Moss.earth profile](https://www.climatetechlist.com/company/mossearth) 4. [Tracxn – MOSS company profile](https://tracxn.com/d/companies/moss/__zG9J8_QTDvk3a-_kMgiETB9kGy_-mi_8ofN_vqcXS7Q) 5. [Gem Careers – Moss.ag (separate entity)](https://jobs.gem.com/moss-ag) ## Other roles at moss - [Spring '27 Intern - Perception/Robotics](https://feeny.ai/job/spring-27-intern-perception-robotics-moss-san-francisco-v01rb0megj3h) — San Francisco, CA - [Sales Lead](https://feeny.ai/job/sales-lead-moss-san-francisco-36dzzt31wfz5) — San Francisco, CA - [Fall '26 Intern - Perception/Robotics](https://feeny.ai/job/fall-26-intern-perception-robotics-moss-san-francisco-69xhgkyn9fvs) — San Francisco, CA - [Field Operator](https://feeny.ai/job/field-operator-moss-boring-m0kpgbxwm15p) — Boring - [Spring '27 Intern - Mechanical Engineering](https://feeny.ai/job/spring-27-intern-mechanical-engineering-moss-san-francisco-x2fw2jxtzkzx) — San Francisco, CA - [Spring '27 Intern - Electrical Engineering](https://feeny.ai/job/spring-27-intern-electrical-engineering-moss-san-francisco-n05y4cysp1cp) — San Francisco, CA - [Fall '26 Intern - Mechanical Engineering](https://feeny.ai/job/fall-26-intern-mechanical-engineering-moss-san-francisco-z7za5cdyvgjm) — San Francisco, CA - [Fall '26 Intern - Electrical Engineering](https://feeny.ai/job/fall-26-intern-electrical-engineering-moss-san-francisco-4vzeg3wsgarq) — San Francisco, CA - [Perception Engineer](https://feeny.ai/job/perception-engineer-aurelius-systems-san-francisco-xfb0j0b71s8c) — San Francisco, CA - [Perception Engineer](https://feeny.ai/job/perception-engineer-motional-boston-massachusetts-zv8qytdf6q2t) — Boston Massachusetts, United States