Job Details

About Us

We're on a mission to revolutionize the CAD industry by developing the world's most advanced hardware design infrastructure and tools. Mechanical CAD is in the dark ages, and hardware demands have outpaced todays hardware design infrastructure. The industry is due for a refresh,and w e're laying the foundation for a modern hardware design toolkit so that you can create new design tools never before possible.

We are headquartered in Los Angeles, CA with both a local and remote team. We were founded and incubated by Embedded Ventures in 2021.

About You

Were looking for curious, innovative, and ambitious self-starters to join our lean and growing team to help us bring our mission to life. We think youll thrive on our team if youre:

• Curious at your core, with an eagerness to learn and do things differently
• Customer-focused, always thinking about ways to improve the user experience
• Able to operate autonomously and work asynchronously, while also being an effective team player

About The Role

We are seeking a highly skilled Data Engineer to join our growing team to support our foundational data engineering processes. In this role, youll build, implement, and manage our ML data ecosystem to support Zoos ML initiatives as we scale. The right candidate will have a strong background in Python programming, data integration, data warehousing, data munging/cleaning, and ETL for ML datasets. The ideal candidate will also have an understanding of Computer-Aided Design (CAD) with knowledge of the relevant data required for hardware design.

What Youll Do

• Develop and maintain automated processes for data collection from various sources
• Design and implement data warehousing solutions to store and manage large datasets
• Clean and pre-process data to ensure its quality and usability for ML models
• Create and manage ETL pipelines to transform raw data into structured datasets for ML applications
• Apply CAD knowledge to integrate and manipulate design data within our systems
• Collaborate with cross-functional teams to understand data requirements and deliver robust data solutions
• Continuously optimize and improve Zoos data workflows and processes

What Youll Need

• B.S. Computer Science or a related field, or equivalent professional experience
• Professional experience and demonstrated proficiency in Data Engineering
• Demonstrated proficiency with Python
• Knowledge of CAD and its integration with data systems
• Extensive experience working with CAD models and deep understanding of their design principles
• Expertise in data extraction, data warehousing, and data munging best practices
• Experience with Git

Nice to Have

• Strong background in data analytics, statistics, and data visualization techniques
• Experience working on Generative AI applications
• Proficiency in Rust
• Proficiency with SQL

The salary range for this role is provided below. The final offer will depend on multiple factors including candidate experience, skills, expertise, and market data. Compensation may vary by geography. In addition to salary, we offer competitive equity as well as a full benefits package which may vary by geography as well.

Salary Range

$130,000 $160,000 USD

Zoo is an equal-opportunity employer committed to creating a diverse and inclusive workplace. The Zoo team is made up of incredibly talented and unique individuals from across the globe. All qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, disability, Veteran status, age, orany other trait that unfairly targets a group of people. We encourage everyone interested in our mission to apply!

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What piqued your interest in this opportunity with us at Zoo? *

Given your experience and what you know about us so far, how will you make an impact on the team? *

Given your experience and what you know about us so far, what do you expect to gain/learn from a position with us on your own career path? *

Please provide 1-3 examples around projects that you feel are the best representation of your engineering skills related to this role. Please provide links to your work if possible. *

Please provide any written work that demonstrates your skills as an Engineer. This can be a blog post, technical paper, design document, presentation, block comment from one of the projects mentioned above, etc.