--- title: 'ML Infrastructure Engineer at Maven Robotics' canonical: 'https://feeny.ai/job/ml-infrastructure-engineer-maven-robotics-san-francisco-bay-area-california-htzaxk4sntfz' type: 'job' last_seen: '2026-09-08' --- # ML Infrastructure Engineer at Maven Robotics - **Company:** Maven Robotics - **Location:** San Francisco Bay Area California, United States - **Posted:** 2026-06-22 - **Last confirmed live:** 2026-09-08 - **Apply:** https://boards.greenhouse.io/mavenrobotics/jobs/5275456008?gh_jid=5275456008 ## Job description Company Overview Maven Robotics is building the world’s leading general-purpose robots and providing physical AI solutions for the most challenging industrial autonomy tasks. Operating in stealth, we are assembling a team of world-class innovators who think from first principles. Our mission is to achieve human-level task success rates in complex environments, even when faced with limited fine-tuning data or evolving robotic hardware. We value unwavering truth-seeking, humility, and relentless determination. ## Role Description We are looking to recruit an exceptional Infrastructure Engineer to own and build the backend systems that power machine learning at Maven Robotics. In this role, you will design and scale the core infrastructure used by our AI and robotics teams to manage data, run compute workloads, store artifacts, monitor systems, and support rapidly growing engineering workflows. You should be excited about distributed systems, backend services, data infrastructure, GPU compute, and high-reliability internal platforms. The ideal candidate has successfully built and operated similar systems before and can independently drive complex infrastructure projects from architecture through production operation. The underlying systems may be sophisticated, but the interfaces and workflows they expose should be reliable, intuitive, and easy for engineers to use. In this role you will: - Own the architecture, implementation, reliability, and evolution of Maven's machine learning infrastructure. - Build backend services and platforms for managing data, artifacts, jobs, logs, metadata, and compute resources across cloud and on-premise environments. - Design scalable systems for workload orchestration, storage, observability, security, and infrastructure automation. - Build intuitive internal tools and abstractions that make complex infrastructure easy for engineers to use. - Lead technical and commercial discussions with cloud and ML compute providers, including capacity planning, performance, reliability, and cost. ## Qualifications Must-have: - Significant experience designing, building, and operating production backend, distributed, or compute infrastructure. - A track record of independently owning complex infrastructure projects from architecture through deployment and ongoing operation. - Strong programming ability in Python, Go, Rust, C++, or a similar backend or systems language. - Experience operating GPU compute infrastructure and orchestrating distributed workloads using Kubernetes, Ray, ZenML, or similar systems. - Experience designing and operating storage systems, observability platforms, infrastructure-as-code, and secure access controls. - Experience managing large-scale GPU fleets or hybrid cloud and on-premise compute environments. - Experience building internal developer platforms, CLIs, SDKs, or other self-service infrastructure tools. - Strong technical judgment, leadership, and communication skills, with the ability to drive decisions across teams and external partners. - Self-starter attitude with the ability to identify priorities and deliver durable solutions in a fast-paced startup environment. Nice-to-have: - Familiarity with GPU architecture, accelerator-aware software design, and profiling compute-intensive workloads. - Exposure to infrastructure supporting large-scale robot learning workloads, including policy training, simulation, and multimodal data pipelines. - Familiarity with SOC 2 controls, security practices, and audit readiness. ## About Maven Robotics ## Company Overview - **One-liner**: Maven Robotics is building the world's leading general-purpose AI robots, starting with an industrial robot that combines strength, dexterity, mobility, and reliable physical AI to unlock productivity across manufacturing and logistics. - **Entity Type**: Private (Seed round raised in September 2024 with 3 investors) - **Headquarters**: Santa Clara, California, United States (with presence in Germany) - **Founded**: 2024 - **Founders**: Hamza Derbas (Co-Founder & CEO) ## Core Business - **Primary industry**: Robotics Engineering / Industrial Automation / AI Robotics - **Target customers**: Large global manufacturing and logistics organizations, with a cost-efficient design that also makes automation accessible to businesses of every scale (SMB to Enterprise). - **Mission**: "We believe the future of technology holds incredible promise, with many kinds of robots unlocking productivity, enhancing creativity, and improving life for humans everywhere. Our first step is to tackle real-world industry challenges, proving value and scalability to establish the foundation for a truly brighter future." ## Products & Services - **General-purpose industrial robot (prototype)**: A hardware/software/AI system purpose-built for industry, combining strength, adaptive dexterity, fluid mobility, and the most reliable physical AI to work safely alongside people. Designed to be cost-efficient for businesses of all scales. ## Market Standing - **Valuation/Market Cap**: Not disclosed - **Key Metric**: Total funding amount not publicly available (Seed round with 3 investors, September 2024) - **Notable Investors/Partners**: Not named in available sources; the company states they are "working with some of the largest global manufacturing and logistics organizations." - **Growth Signals**: - Headcount grew 52.4% year-over-year to 28 employees (as of mid-2025) [linkedin.com] - High-profile talent sourcing: alumni from Apple (9), Tesla (1), Ford, Aptiv, Caterpillar, and others [linkedin.com] - Active hiring across 14+ roles as of July 2025: robotic AI, ML perception, manipulation, motion planning, embedded software, mechanical and electrical engineering, Data Collection Operator [mavenrobotics.ai] ## Competitive Advantages - **First-principles, customer-focused approach** – the company prioritizes solving real industrial pain points before generalizing, ensuring near-term traction - **Small, elite team** – composed of engineers and scientists with deep experience from top tech and robotics companies (Apple, Tesla, Ford, Intuitive Surgical, etc.) - **Cost-efficiency** – the robot is designed to be affordable enough for SMBs, not just large enterprises, widening the addressable market - **Full-stack robotics** – in-house capabilities in hardware design (actuators, mechanisms), embedded systems, AI/ML (perception, manipulation, foundation models), motion planning, and simulation ## Strategic Focus - **Near-term**: Prove value and scalability in industrial manufacturing and logistics through customer deployments; ship the first generation robot - **Long-term**: Use the industrial foundation to build general-purpose robots that can tackle diverse real-world challenges, ultimately "unlocking human potential through intelligent robotics" ## Why Work Here - **Culture**: Described as a small team of engineers and scientists with "bold ambition, relentless curiosity, and belief in unlocking human potential through intelligent robotics." Emphasis on inventing, creating, and innovating from Silicon Valley. - **Work model**: On-site or in-office workspace at the Santa Clara, CA headquarters. BuiltIn lists offices as "In-Office or Remote" but also states employees work from physical offices; typical time on-site is not specified. The careers page implies hands-on hardware/software work that likely requires presence. [builtin.com] - **Notable perks/engineering culture**: Deep technical challenges across AI, perception, controls, embedded, mechanical, and electrical engineering. The team includes world-class experts from Apple, Tesla, Ford, etc. Opportunities to shape a product from prototype to deployment. Open roles include robotic AI, ML engineering, motion planning, embedded software, and hardware engineering. - **Growth trajectory**: Rapidly growing startup (52% YoY headcount increase) with strong investor interest and a clear industrial go-to-market strategy. ## Sources 1. [mavenrobotics.ai](https://www.mavenrobotics.ai/) 2. [mavenrobotics.ai/join-us](https://www.mavenrobotics.ai/join-us) 3. [builtin.com](https://builtin.com/company/maven-robotics) 4. [linkedin.com](https://www.linkedin.com/company/maven-robotics) 5. [craft.co](https://craft.co/maven-robotics) ## Other roles at Maven Robotics - [Robot System Testing Engineer](https://feeny.ai/job/robot-system-testing-engineer-maven-robotics-san-francisco-bay-area-california-c3gq4w3ad5eg) — San Francisco Bay Area California, United States - [Robotic System Integration Engineer](https://feeny.ai/job/robotic-system-integration-engineer-maven-robotics-san-francisco-bay-area-h5a1q2h8t9x4) — San Francisco Bay Area California, United States - [Robot Field Engineer](https://feeny.ai/job/robot-field-engineer-maven-robotics-san-francisco-bay-area-california-snmz665ffkcn) — San Francisco Bay Area California, United States - [Robot Autonomy Engineer](https://feeny.ai/job/robot-autonomy-engineer-maven-robotics-san-francisco-bay-area-california-6jscrk7znyzj) — San Francisco Bay Area California, United States - [Modeling and Simulation Engineer](https://feeny.ai/job/modeling-and-simulation-engineer-maven-robotics-san-francisco-bay-area-1t3thxfx1x72) — San Francisco Bay Area California, United States - [Lead Fleet Operations Software Engineer](https://feeny.ai/job/lead-fleet-operations-software-engineer-maven-robotics-san-francisco-bay-area-msrbbqrrhw7a) — San Francisco Bay Area California, United States - [Robot Field Engineer](https://feeny.ai/job/robot-field-engineer-maven-robotics-stockton-1q7t89rtmn08) — Stockton, CA - [Data Collection Operator](https://feeny.ai/job/data-collection-operator-maven-robotics-san-francisco-bay-area-california-ppkrgnq30g77) — San Francisco Bay Area California, United States - [Embedded Software Engineer - Real-Time Linux](https://feeny.ai/job/embedded-software-engineer-real-time-linux-maven-robotics-san-francisco-bay-eekemkqp7mat) — San Francisco Bay Area California, United States - [Embedded Software Engineer - Real-Time Embedded](https://feeny.ai/job/embedded-software-engineer-real-time-embedded-maven-robotics-san-francisco-bay-ts3xh3szrffy) — San Francisco Bay Area California, United States