About Nimble
Nimble is a robotics and AI company building end-to-end autonomous logistics to enable fast, efficient, and sustainable commerce. We’re developing generalized robot intelligence and building general-purpose logistics robots, the first in the world capable of performing all core warehouse functions.
Our mission is to empower and inspire mankind to accomplish legendary feats by inventing robots that liberate us from the menial.
Our long-term vision is to invent the Autonomous Supply Chain – everything from the inside of factories and warehouses to your front door – using next-gen intelligent robotics to deliver faster, more efficient, and more sustainable commerce.
We were founded from the AI labs at Stanford and Carnegie Mellon. We’re backed by the World’s most prestigious investors as well as AI and robotics legends like Marc Raibert (Founder of Boston Dynamics), Fei-Fei Li (Chief Scientist of AI at Google, Director of Stanford’s AI lab), and Sebastian Thrun (Founder of Google X, Waymo, Kitty Hawk, and Udacity)!
https://www.youtube.com/watch?v=e3XPfrlkO7s
Nimble's Core Values:
1) Be relentlessly resourceful -
2) Be legendary -
3) Be humble -
4) Be dependable -
About the Role:
Help us advance our robotics moonshot by scaling our data engineering efforts. Drive design and development of data infrastructure across our products and internal tools. You will play a critical role in working with our world-class cross-functional team to architect and build the world’s most advanced robotic systems for the world’s biggest robotics opportunity!
Responsibilities
- Design, build, and maintain scalable and reliable data pipelines using Databricks.
- Ensure data is collected, processed, and made available in a timely and efficient manner.
- Integrate data from various sources, including Kafka streams, to support real-time analytics.
- Manage and optimize data lake to ensure high performance and availability.
- Implement best practices for database design, indexing, and query optimization.
- Monitor database performance and troubleshoot issues as they arise.
- Develop and manage ETL processes to transform and load data into data warehouses and data lakes.
- Ensure data integrity and consistency across different data sources and systems.
- Work closely with analysts, finance, bizops, product, and other stakeholders to understand data needs and deliver solutions that support business objectives.
- Provide data engineering support for various functions across the company, ensuring data accessibility and usability.
- Establish and enforce data quality standards and practices.
- Implement data governance frameworks to ensure compliance with internal and external data policies.
- Stay up-to-date with the latest industry trends and technologies in data engineering.
- Continuously improve existing data processes and infrastructure to enhance efficiency and scalability.
- Document data engineering processes, designs, and architectures.
Qualifications
- Fast learner, A-player, excellent work ethic, and ambitious
- 2-4 years of experience in a tech company or in a fast-growing startup
- BS/MS/Ph.D. in Computer Science, Mathematics, Computer Engineering or a related discipline, or equivalent experience.
- Strong experience writing production code in Python, Java
- Ability to identify and resolve bugs and issues.
- Kafka/Spark/Databricks experience
- Experience with AWS
Nice To Have
- Participation in hackathons
- Experience with robotics, machine learning environments
- Data Pipelines Performance tuning and Optimization
Additional Requirements
- Willing to work extended hours and weekends if needed
- This position is based in our San Francisco office
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!
Press:
https://www.businesswire.com/news/home/20210311005117/en/Nimble-%C2%AE-Robotics-Raises-
https://techcrunch.com/2021/03/11/nimble-robotics-scores-50m-for-its-fulfillment-automation-tech/
https://multichannelmerchant.com/operations/nimble-robotics-takes-in-50m-adds-ai-luminaries/
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
Flexible PTO
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
What We Do
Nimble is pioneering intelligent robotic manipulation to reinvent eCommerce fulfillment. Our founding team comes from the AI labs at Stanford and Carnegie Mellon. We're backed by famed robotics and AI legends like Fei-Fei Li and Sebastian Thrun.
Today, we provide end-to-end robotic picking solutions for goods-to-person picking, put-wall sorting and induction for eCommerce order fulfillment. Our robots integrate into production in 1 day requiring no changes to the WMS/WCS. Our solutions provide a stable labor force, cost savings, reduction in staffing churn, and boosted efficiencies. Using our proprietary human-in-the-loop supervision and AI framework we deliver unmatched reliability in handling any product from day 1.