--- title: 'Senior/Staff Software Engineer, Infrastructure (ML) at Nimble Robotics' canonical: 'https://feeny.ai/job/senior-staff-software-engineer-infrastructure-ml-nimble-robotics-san-francisco-k5g0mc1aaqqq' type: 'job' last_seen: '2026-09-04' --- # Senior/Staff Software Engineer, Infrastructure (ML) at Nimble Robotics - **Company:** Nimble Robotics - **Location:** San Francisco, CA - **Posted:** 2026-08-18 - **Last confirmed live:** 2026-09-04 - **Apply:** https://job-boards.greenhouse.io/nimblerobotics/jobs/4373712009 ## Job description ## About Nimble [Nimble](http://nimble.ai/) is an AI robotics company building the autonomous supply chain to power fast, efficient and economical commerce. We’re training robot AGI to power a proprietary generalist supply chain superhumanoid, the first robot in the world capable of performing thousands of tasks across the supply chain. We’ve raised over $220M at over $1B valuation and formed a strategic alliance with FedEx to build a national network of autonomous warehouses capable of generating many billions in annual revenue. We are a hardcore and obsessed team of the world’s best engineers and operators. If you are obsessed with your craft, enjoy a high-intensity and fast moving high impact environment, are super high agency in getting hard things done and want to be part of building the world’s most legendary robotics company at the most pivotal moment in history, we want to work with you. We are on a mission to empower and inspire mankind to accomplish legendary feats by inventing robots that liberate us from the menial. We will accomplish this by training robot AGI to invent and build the Autonomous Supply Chain – everything from the inside of factories and warehouses to your front door – powered by generalist superhumanoids. Our founding team comes from the AI labs at Stanford and Carnegie Mellon and our board of directors include famed robotics and AI legends including [Fei-Fei Li](https://en.wikipedia.org/wiki/Fei-Fei_Li) (Chief Scientist of AI at Google and Director of Stanford’s AI Lab), [Marc Raibert](https://en.wikipedia.org/wiki/Marc_Raibert) (founder of Boston Dynamics), and [Sebastian Thrun](https://en.wikipedia.org/wiki/Sebastian_Thrun) (founder of GoogleX, Waymo; Stanford Professor and considered the father of autonomous vehicles). Let’s be legendary. Why Join Nimble? At Nimble, we are committed to building legendary products, a legendary team, and a legendary legacy. Join us and become part of an ambitious, humble, and resourceful culture where your work will leave a lasting impact on the future of robotics and commerce. Nimble's Core Values: Be relentlessly resourceful - Challenge conventions and overcome obstacles. Be legendary - Be the very best and do work that inspires. Be humble - Prioritize growth, learning, and doing whatever is needed to further the mission. Be dependable - Take ownership and deliver with high agency. ## About the Role We’re looking for a Software Engineer to join our ML Infrastructure team. In this role, you’ll help build the training and inference systems that power our general-purpose warehouse robots. You’ll own training infrastructure end to end: keeping GPUs highly utilized, making runs reproducible, and ensuring every researcher can launch the next experiment with a single command. You’ll work closely with ML and Robotics teams to design, build, and scale the systems that turn our GPU clusters into a reliable, high-throughput platform for model development. ## Responsibilities - Design, develop, and maintain ML training infrastructure that enables the AI team to run training jobs efficiently, manage and iterate experiments quickly. - Build low-latency inference pipelines for production robotics workloads. - Develop, tune, and optimize low-level CUDA kernels. - Design training-platform systems for scalable model training, including high-throughput data ingestion, dataset sharding and sampling for distributed training. - Participate in and lead design reviews with peers and stakeholders to evaluate technical tradeoffs and select appropriate technologies. - Review code and provide feedback to uphold best practices around style, correctness, testability, performance, and maintainability. - Contribute to documentation and educational materials, adapting content as systems and workflows evolve. - Mentor junior engineers and help raise the technical bar across the team. ## Qualifications - Bachelor’s, Master’s, or PhD in Computer Science or a related field, or equivalent practical experience. - 4+ years of industry experience in infrastructure, distributed systems, ML systems, robotics, or a related area. - Experience with programming languages such as Rust, Go, Python, or C++. - Experience with ML frameworks such as PyTorch or JAX. - Strong understanding of distributed systems, systems programming fundamentals, memory management, and performance optimization. - Experience with Kubernetes orchestration, resource scheduling for large distributed jobs, and containerized deployment pipelines. - Ability to debug and optimize bottlenecks across GPU memory hierarchy, networking fabric, filesystems, and multi-GPU operations. - Ability to reason from first principles and optimize systems for both memory-bound and compute-bound workloads. - Strong cross-functional communication skills, ownership, and a growth mindset. ## Nice to Have - Hands-on experience with distributed training frameworks and techniques such as PyTorch DDP/FSDP, DeepSpeed, Megatron, or NCCL. - Hands-on experience with GPU kernel development. - Experience with data engineering technologies such as Parquet, Arrow, or similar systems. ## Compensation The pay range for this position at the start of employment is expected to be between $210,000 and $300,000/year. Your exact offer may vary depending on multiple individualized factors, including job-related knowledge, skills, and experience. In addition to cash compensation, this position will also receive generous equity for this position. Culture: We embrace challenges and strive to make the impossible possible each day. We’re not in this to do what’s easy or to be mediocre. We want to create something legendary and leave our mark on the world. We’re ambitious, we’re gritty, we’re humble and we’re relentlessly resourceful in pursuit of our goals. If this sounds like you then you might be a great fit! Nimble Robotics, Inc. is an equal opportunity employer. We make all employment decisions based solely on merit. We provide equal employment opportunity to all applicants and employees without discrimination on the basis of race, color, religion, national origin, ancestry, disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, sexual orientation, age, military or veteran status, or any other characteristic protected by applicable state, federal or local laws. Nimble's Benefits Unlimited Flexible Time Off Enjoy the time you need to travel, rejuvenate, and connect with friends and family. Health Insurance Nimble provides medical, dental, and vision insurance through several premier plans and options to support you and your family. Paid Parental Leave Enjoy paid bonding time following a birth. Commuter Benefits Take the stress out of commuting with access to fully-paid parking spots. Referral Bonus Get a cash bonus for any friend or colleagues that you refer to us that we end up hiring. 401k Contribute towards a 401k for retirement planning. Equity Be an owner in Nimble through our equity program Link: [Nimble Closes $106 Million Series C Funding Round, Scales Fully Autonomous Fulfillment with FedEx](https://www.businesswire.com/news/home/20241023998446/en/Nimble-Closes-106-Million-Series-C-Funding-Round-Scales-Fully-Autonomous-Fulfillment-with-FedEx?trk=feed-detail_main-feed-card_feed-article-content) Link: [FedEx Announces Expansion of FedEx Fulfillment With Nimble Alliance](https://newsroom.fedex.com/newsroom/global-english/fedex-announces-expansion-of-fedex-fulfillment-with-nimble-alliance) ## About Nimble Robotics ## Company Overview - **One-liner**: Nimble Robotics operates a network of fully autonomous robotic fulfillment centers that use AI-powered "Warehouse Superhumanoids" to pick, pack, and ship e-commerce orders. - **Entity Type**: Private (Series C, $1B valuation as of 2024) - **Headquarters**: San Francisco, California, USA - **Founded**: Not publicly available - **Founders**: Simon Kalouche (Founder & CEO) ## Core Business - Primary industry/industries: Robotic fulfillment (3PL), warehouse automation, e-commerce logistics, AI robotics - Target customers: B2B – e-commerce brands, direct-to-consumer (DTC) companies, retailers (from high-growth startups to Fortune 500 enterprises) - Mission or purpose statement: Provide autonomous, cost-effective, and scalable fulfillment that enables same-day and next-day delivery while reducing labor dependency and environmental impact. ## Products & Services - **Robotic Fulfillment as a Service**: Fully autonomous order fulfillment (storage, retrieval, picking, packing, sorting, kitting) using general-purpose robots. No upfront capital investment – customers pay per task. Includes same-day SLA (orders before 2 PM ship same-day) and 99.8% uptime. - **Cloud Supply Chain Platform**: Real-time inventory visibility, dynamic slotting, intelligent transportation carrier selection, and multi-node inventory optimization. - **Integrations**: Plug-and-play integrations with Shopify, NetSuite, Skubana, and other top e-commerce platforms. ## Market Standing - **Valuation/Market Cap**: $1 billion (Series C, 2024) - **Key Metric**: Total funding – $106 million Series C (2024). Prior rounds not disclosed in available sources. - **Notable Investors/Partners**: FedEx (strategic alliance to build a national network of fulfillment centers), Fei-Fei Li (Board Director), Marc Raibert (Board Director – founder of Boston Dynamics). Additional investors likely include DNS Capital and others (not confirmed in provided data). - **Growth Signals**: - Strategic alliance with FedEx for nationwide expansion - Customers include PUMA, AdoreMe, Fresh Clean Threads, and other iconic brands - Handles over 500,000 SKUs across fashion, CPG, health & beauty, electronics, and more - Peak daily orders of 350,000 - Achieves >40% cost reduction for customers and >96% order accuracy - Robots operate 24/7/365 with all-electric, low-power consumption ## Competitive Advantages - **General-purpose robots**: Nimble’s “Warehouse Superhumanoids” are the only robots capable of performing all core warehouse functions (storage, retrieval, pick, pack, sort, kitting) – not limited to single tasks. - **No upfront investment**: Customers pay only for tasks performed, eliminating capital expenditure and enabling rapid scaling. - **AI-first approach**: Deep learning and computer vision enable handling millions of diverse objects without pre-programming. - **World-class team**: 75% of employees are engineers, including pioneers from Boston Dynamics, Stanford AI Lab, and Carnegie Mellon. - **Sustainability**: All-electric robots, recycled/compostable packaging, reduced warehouse footprint and transportation emissions. ## Strategic Focus - Expand the national network of robotic fulfillment centers in partnership with FedEx to reach 99% of the U.S. population in 1–2 days via ground shipping. - Continue to improve robot autonomy and AI to handle an ever-wider range of products and tasks. - Scale the “Quick Launch Program” to onboard new customers in days, not weeks, with no long-term commitments. ## Why Work Here - **Engineering culture**: 75% of the company is engineering – a deeply technical environment focused on AI, robotics, and cloud logistics. - **Cutting-edge work**: Build and deploy general-purpose robots that autonomously fulfill millions of orders; work on computer vision, manipulation, simulation, and cloud infrastructure. - **World-class colleagues**: Team includes robotics icons (Marc Raibert, Fei-Fei Li as board members) and engineers from top programs. - **Impact**: Directly shape the future of e-commerce fulfillment and logistics, with customers generating $100M+ in sales. - **Location**: San Francisco, CA (office-based roles likely, but specific remote/hybrid policy not disclosed in available data). - **Current openings** (as of mid-2026): Senior Robotics Software Engineer, Senior Simulation Validation Engineer, Senior Software Engineer – Cloud Logistics, Staff Software Engineer – Cloud Logistics, AI Robotics Research Engineer/Scientist, Senior Computer Vision Engineer, and Customer Success roles. ## Sources 1. [nimble.ai](https://nimble.ai/) – Company website, product details, customer logos, funding announcement 2. [job-boards.greenhouse.io/nimblerobotics](http://job-boards.greenhouse.io/nimblerobotics) – Current job openings (21 roles) 3. [linkedin.com/company/nimble-robotics](https://www.linkedin.com/company/nimble-robotics) – LinkedIn company page 4. [cbinsights.com/company/nimble-robotics-1](https://www.cbinsights.com/company/nimble-robotics-1) – CB Insights company profile 5. [crunchbase.com/organization/nimble-ai](https://www.crunchbase.com/organization/nimble-ai) – Crunchbase funding and overview ## Other roles at Nimble Robotics - [Operations Engineer, Nimble Brain](https://feeny.ai/job/operations-engineer-nimble-brain-nimble-robotics-san-francisco-jnde2a6ydy78) — San Francisco, CA - [Robot Support Associate](https://feeny.ai/job/robot-support-associate-nimble-robotics-haslet-jphc79ryqbg3) — Haslet, TX - [Senior Robotics Firmware Engineer](https://feeny.ai/job/senior-robotics-firmware-engineer-nimble-robotics-san-francisco-e43wga6xekva) — San Francisco, CA - [Data Collection Supervisor](https://feeny.ai/job/data-collection-supervisor-nimble-robotics-san-francisco-4cffdmjpgh0f) — San Francisco, CA - [Manager, Data Quality & Annotation](https://feeny.ai/job/manager-data-quality-annotation-nimble-robotics-san-francisco-26fmbrgdhy0b) — San Francisco, CA - [Data Collection Manager, Nimble Brain](https://feeny.ai/job/data-collection-manager-nimble-brain-nimble-robotics-san-francisco-bffawh2gqdbk) — San Francisco, CA - [Maintenance Technician (Cypress, TX)](https://feeny.ai/job/maintenance-technician-cypress-tx-nimble-robotics-cypress-0mmfhb04se8c) — Cypress, TX - [Supplier Industrialization Engineer](https://feeny.ai/job/supplier-industrialization-engineer-nimble-robotics-san-francisco-9skja0hmbgvy) — San Francisco, CA - [Robotics Software Engineer, Nimble Brain](https://feeny.ai/job/robotics-software-engineer-nimble-brain-nimble-robotics-san-francisco-baywfy1qzrrp) — San Francisco, CA - [Senior Software Engineer, Infrastructure (SRE & Security Focused)](https://feeny.ai/job/senior-software-engineer-infrastructure-sre-security-focused-nimble-robotics-wznn6y2x3m8a) — San Francisco, CA