Senior Data Engineer

SafeAI sees the future of heavy industry with off-road autonomous vehicles reshaping industries like construction and mining. We are pioneering a new approach to autonomous off-road equipment with AI-powered, vehicle and manufacturer agnostic technology that enables heavy industry operations to retrofit any piece of equipment with autonomous technology. Since 2017, we’ve been steadily establishing a foundation for the future, targeting the most important, heavily used off-road vehicles and industry segments to drive meaningful impacts across safety, productivity and cost reduction. We are now entering an era of massive industry adoption and are excited to be a commanding force in accelerating this movement to transform heavy industry with connected autonomy.

As a fast paced, high growth company serving a very important mission, our amazing and talented team is a huge part of bringing this mission to reality. The work that you do at SafeAI will give you a unique perspective on developing and deploying leading edge autonomous technology and solutions, while working with top tier participants in the industry, and across the globe. The leadership team at SafeAI brings a unique blend of autonomous technology and industry specific experience from some of the top companies in the world, such as Google, Apple, Tesla, Continental, Uber, Caterpillar, BHP and Rio Tinto. We are strategically headquartered in Silicon Valley, with team members and office locations established in Perth, Australia, Tokyo, Japan and New Delhi, India that you would collaborate with on a regular basis.

SafeAI is seeking a highly capable Senior Data Engineer to develop our data platform for managing large datasets critical to the development and evaluation of our autonomous vehicle software stack.

·          Develop data set processes for data modeling, mining, and production

·          Build data pipelines for collecting & processing data from multiple data sources: from the point of ingestion to useful insight

·          Build data analysis and visualization pipelines for ML insights

·          Identify optimal approaches for resolving data quality or consistency issues

·          Ensure successful system delivery to the production environment and assist the operations and support team in resolving production issues, as necessary

·          Develop, test, and maintain architectures for data stores, databases, processing systems, and microservices

·          Automate everything for measuring, testing, updating, monitoring and alerting the data platform

·          Partner with MLOPS infrastructure engineers to build and implement support for versioned, traceable, and immutable datasets

·          Collaborate with ML engineers to build data annotation, ingestion and management platform

·          B.S. in computer engineering, web development, computer science or equivalent experience

·          5+ years of experience developing and orchestrating at scale business critical data pipelines in a cloud environment

·          Strong experience in data engineering technologies, large-scale storage, databases, analytics systems, visualization tools and their common architectures.

·          Hands-on experience setting up, configuring, and maintaining SQL and no-SQL databases (MySQL/MariaDB, PostgreSQL, MongoDB)

·          Good design and architectural skills to build microservices

·          Strong Python and/or SQL skills Ability to manipulate JSON/XML data and exposure with other data manipulation platforms

·          Experience with object detection and image segmentation

·          Experience with C99 and C++ programming

·          Experience with Git and GitLab

·          Experience with GIS data and mapping

·          Experience with dense pointcloud visualization

·          Knowledge of client-side scripting and JavaScript frameworks such as AngularJS, ReactJS and NodeJS

·          Knowledge of geographic projections

In addition to a very competitive compensation and benefits package, we offer a fantastic culture and place to work within an established start-up environment. We provide plenty of snacks, grab & go meals and drinks to get you through the day, and we celebrate our accomplishments with off-sites gatherings and frequent happy hours. As an Equal Opportunity Employer M/F/D/V/SO, we do not discriminate in employment and personnel practices on the basis of race, sex, age, handicap, religion, national origin or any other basis prohibited by applicable law.

·       Competitive compensation package, including stock options

·       Medical, dental, and vision benefits for employees and dependents

·       401(k) plan

·       Flexible Spending Accounts (FSA) and Health Savings Accounts (HSA)

·       Flexible vacation policy

·       Free access to onsite Fitness Center

·       Learning and development programs

·       Employee assistance program

·       Adoption assistance program

·       Community snacks, meals & beverages

We hope that you’re a great candidate for this position and look forward to speaking with you!