--- title: 'Senior Software Engineer - ML Infrastructure at Claryo' canonical: 'https://feeny.ai/job/senior-software-engineer-ml-infrastructure-claryo-san-francisco-dyx1vrwh15rv' type: 'job' last_seen: '2026-09-10' --- # Senior Software Engineer - ML Infrastructure at Claryo - **Company:** Claryo - **Location:** San Francisco, CA - **Compensation:** $170k–$190k - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-03-16 - **Last confirmed live:** 2026-09-10 - **Apply:** https://jobs.ashbyhq.com/claryo/968b48bc-a0dc-4b3f-80fc-3581d28927c1 ## Job description We're looking for a Senior Software Engineer - ML Infrastructure to build and scale the infrastructure that powers our AI-driven warehouse intelligence platform. You'll own the end-to-end lifecycle of computer vision models — from training pipelines through optimized cloud deployment — ensuring our cutting-edge computer vision and multi-modal AI systems run reliably and efficiently in production. Your work will directly enable the real-time perception and autonomous decision-making capabilities at the core of our platform. This is a deeply technical role at the intersection of machine learning, distributed systems, and cloud infrastructure. You'll design scalable GPU compute clusters, build robust orchestration pipelines, and optimize model serving for low-latency inference at scale. You'll work closely with our research scientists, computer vision engineers, and product teams to bridge the gap between experimental models and production-ready systems that operate across diverse warehouse environments. We've found tremendous value in collaborative problem-solving, thus our team works from our SF office three days a week. ## Responsibilities - Develop and maintain distributed cloud GPU infrastructure for large-scale world model training and low-latency inference. - Build end-to-end computer vision pipelines — from data ingestion and preprocessing through model training, evaluation, and deployment — and integrate them into core product workflows. - Deploy and optimize state-of-the-art machine learning models in the cloud using model serving platforms and inference optimization techniques, including VLMs and VLAs. - Design and operate orchestration systems that enable both engineers and non-engineers to build and manage data and ML pipelines. - Establish monitoring, benchmarking, and evaluation frameworks to ensure model performance and reliability in production environments. Required Experience - B.S. / M.S. in Computer Science, Robotics, or similar technical field, or equivalent practical experience. - 7+ years of professional software engineering experience, with at least 3 years in machine learning infrastructure — developing, scaling, training, deploying, and optimizing large-scale ML systems from data to model. - Track record of deploying machine learning models in production environments with real-world constraints. - Experience with distributed messaging and compute systems (Kafka, gRPC, ROS2, or similar). - Strong programming skills in Python with solid software engineering practices. ## Preferred Experience - Experience with training and/or deployment of machine learning models in the computer vision domain. - Experience developing, running, and managing orchestration systems (Flyte, Temporal, Airflow, or similar) for ML and data pipelines. - Proficiency with ML frameworks (PyTorch, TensorFlow, DeepSpeed) and model serving platforms (TorchServe, TensorFlow Serving, NVIDIA Triton Inference Server, or similar). - Deep understanding of state-of-the-art machine learning models such as auto-regressive transformers and familiarity with inference optimization techniques (TensorRT, quantization, custom kernels). - Experience with C++ or CUDA programming for GPU acceleration. - Prior experience working at autonomous vehicles or robotics companies. ## Equal Opportunity Statement We’re an equal opportunity employer that values diversity and inclusion. We welcome teammates of all backgrounds and don’t discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. ## Benefits At Claryo, we offer a competitive benefits package that supports your health and well-being, including — top-tier medical, dental, and vision coverage, 401k with employer matching, parental leave, and unlimited vacation. ## About Claryo ## Company Overview - **One-liner**: Claryo provides a Spatial Generative AI platform that creates photo-realistic digital twins of warehouses to accelerate automation planning, monitor operations, and improve facility efficiency. - **Entity Type**: Private (Seed stage) - **Headquarters**: San Francisco, California, United States - **Founded**: 2023 (Pre-Seed round closed January 2023) - **Founders**: Mohamed Amer ## Core Business - **Primary Industry**: Spatial Generative AI / Warehouse Automation & Logistics Software - **Target Customers**: B2B, primarily enterprise warehouse operators, logistics providers, and large-scale facility managers. - **Mission/Purpose**: To extend intelligence beyond the robot itself and empower the entire facility, transforming warehouses by providing unparalleled visibility and enabling seamless human-automation collaboration. ## Products & Services - **AI-Powered Virtual Facility**: A generative, photo-realistic, spatially accurate digital representation of a facility. It is created using a standard phone or drone to scan the environment. - **Proactive Inspection**: Real-time monitoring of process cycle times, warehouse safety compliance, inventory counts, and space utilization. - **Accurate Planning**: Predictive analytics to forecast labor and automation needs, and evaluate "what-if" scenarios to plan optimal facility configurations. - **Automate Easily**: A turnkey solution that integrates with existing facility management systems to design and deploy automation solutions with minimal disruption. ## Market Standing - **Valuation**: Not disclosed. - **Key Metric**: Total Funding of **$3.25 million** (Pre-Seed round of $3.2M in January 2023, led by Cortical Ventures; Seed round in April 2025). - **Notable Investors/Partners**: Cortical Ventures (Lead in Pre-Seed), World Economic Forum (Named a 2025 Technology Pioneer). - **Growth Signals**: - Named a **2025 Technology Pioneer** by the World Economic Forum. - **40% headcount growth year-over-year** (now 12 employees). - Active hiring spree with **9 open job postings** (monthly hiring trend up 80%). - **LinkedIn follower growth** of 182.9% year-over-year. ## Competitive Advantages - **Spatial Generative AI Focus**: Unlike traditional warehouse solutions that focus on robot intelligence, Claryo’s technology extends intelligence to the facility itself, creating a holistic digital twin. - **Ease of Deployment**: The platform can be created using a standard phone or drone, drastically reducing the cost and complexity of creating a digital twin compared to traditional methods. - **Turnkey Solution**: Designed to seamlessly integrate with existing facility systems, allowing clients to deploy only what will boost productivity without disrupting ongoing operations. ## Strategic Focus - **Scaling the Engineering & Go-to-Market Team**: With a recent Seed round and recognition from the World Economic Forum, Claryo is aggressively hiring (9 open roles) to scale its product, engineering, and customer success functions. - **Product Expansion**: The company is focused on building out its core platform, including a video platform and advanced computer vision deployment capabilities, as evidenced by open roles. - **Market Penetration**: Leveraging its WEF recognition to gain credibility and expand its customer base within the global logistics and supply chain industry. ## Why Work Here - **High-Impact Mission**: Work on AI-driven logistics tech that is reshaping how physical work gets done in warehouses globally, with a direct impact on billions of items handled. - **World-Class Team**: Join a team of engineers and researchers from top companies like Apple, Cruise, and Schrödinger, and an alumnus network that includes Princeton University. - **Cutting-Edge Tech Stack**: Work with modern tools including PyTorch, TensorFlow, Kubernetes, Docker, React, PostgreSQL, and NVIDIA CUDA. - **Culture & Recognition**: The company was selected as a 2025 Technology Pioneer by the World Economic Forum, signaling strong external validation and a culture of innovation. - **Location & Flexibility**: Headquarters in San Francisco, CA (Montgomery St.) with a presence in Germany. Open roles are located in San Francisco. - **Active Growth**: With only 12 employees and 9 open roles, new hires will have significant ownership and influence over the product and company direction. ## Sources 1. [claryo.co](https://www.claryo.co/) 2. [claryo.co/about](https://www.claryo.co/about) 3. [claryo.co/careers](https://www.claryo.co/careers) 4. [linkedin.com/company/claryo-inc](https://www.linkedin.com/company/claryo-inc) 5. [jobs.ashbyhq.com/claryo](https://jobs.ashbyhq.com/claryo) ## Other roles at Claryo - [Product Software Engineer](https://feeny.ai/job/product-software-engineer-claryo-san-francisco-rmj9y1fs2zc6) — San Francisco, CA - [Lead Developer – Full Stack](https://feeny.ai/job/lead-developer-full-stack-claryo-san-francisco-4hg48xb2sjeg) — San Francisco, CA - [Staff Software Engineer – Full Stack](https://feeny.ai/job/staff-software-engineer-full-stack-claryo-san-francisco-8wy57htrh8e6) — San Francisco, CA - [Senior Software Engineer – Full Stack](https://feeny.ai/job/senior-software-engineer-full-stack-claryo-san-francisco-y65srg1xmabt) — San Francisco, CA - [Senior Software Engineer - ML Infrastructure](https://feeny.ai/job/senior-software-engineer-ml-infrastructure-applied-intuition-sunnyvale-t2m9fxcpx9f0) — Sunnyvale, CA