Software Engineer (Data Infrastructure)

Intrinsic Minds, LLC

Mountain View, United States of America

10 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Languages

English

Experience level

Intermediate

Compensation

$ 197K

Remote

Mountain View, United States of America

Data analysis

Data Governance

Python

Data Processing

Containerization

Kubernetes

Machine Learning Operations

Data Pipelines

Docker

As a Software Engineer on the Data Infrastructure team, you will be responsible for designing, building, and maintaining the data infrastructure that powers our cutting-edge robotics systems
Your software will enable design, development, and operational robotic workflows, integrating with Kubernetes based cloud and on-device services
This includes the systems that collect and process data from our robots in the real world, and feed that data into our machine learning pipelines to train and evaluate the models that make our robots intelligent
You will collaborate with a passionate Product and Engineering team creating software that enables fleets of robots to build better
Design, develop, and maintain scalable and reliable data pipelines for collecting, processing, and storing large volumes of robotics data (e.g., sensor data, telemetry, logs)
Build Data pipelines to train the next generation of functional robot models
Build and maintain tools and infrastructure for data exploration, analysis, and visualization
Implement and maintain data security and privacy best practices
Work with Customers, Product managers, and Researchers to customize data pipelines for analysis and research

Excellent communication and collaboration skills
Experience with cloud platforms (e.g., AWS, GCP, Azure) and their data services
Experience with one of C++, Golang, Python
Experience collaborating on medium to large software projects for at least 4 years
Experience with containerization technologies (e.g., Docker, Kubernetes)
Experience with machine learning pipelines
Experience with data governance and compliance
Familiarity with robotics systems

Workplace accommodations for physical or mental health concerns
Employee assistance programs focused on mental health
Access to mental health apps
Medical, dental, and vision insurance for employees and dependents
Competitive compensation package that includes base salary, an annual performance bonus target, and equity
Paid time off, including vacation, bereavement, jury duty, sick leave, parental leave, disability, and holidays
Hybrid work model that balances in-person collaboration and productivity with individual flexibility
401(k) and regional retirement plans
Student loan reimbursement
Fertility and growing family support
Back-up childcare
Parental leave and baby bonding leave
Educational reimbursement
Donation matching and time off to volunteer