Infrastructure Technical Lead

2 weeks ago


San Francisco, United States Sauron Full time

Who We Are

Sauron is the home security company of the future. Homeowners today lack compelling options when it comes to peace of mind against vulnerabilities, and total command and control of their home; there is no definitive, protective brand in the space. Leveraging cutting-edge AI,, sensor technology, and nonlethal deterrence, Sauron brings next-generation technology to homeowners to protect their families and property. Incubated by the serial entrepreneur Kevin Hartz and Atomic, Sauron has raised an $18M seed round from leading venture capital firms and angel investors, including 8VC and Flock Safety CEO Garret Langley, to build the new perception system for the home.

The Role | Infrastructure Technical Lead

We aim to build a system that handles a wide variety of scenarios that is able to expand quickly, safely, and do so without error. Our team is looking for a software engineer with expertise in building data processing pipelines, ML pipelines, and monitoring who is passionate about developing scalable and maintainable infrastructure to enable critical systems deployment and monitoring.

What You Will Do
- Lead the build for software infrastructure to enable learning algorithms to leverage our large-scale monitoring data.
- Take ownership of infrastructure projects and build a team that excels at ensuring reliable and scalable performance.
- Contribute to state-of-the-art machine learning infrastructure and relevant software (e.g. distributed training, continuous model integration, data management, and evaluation of production systems).
- Address large scale challenges in the machine learning development cycle, especially around distributed training in the cloud and data engineering.
- Identify and mitigate bottlenecks in our machine learning development processes.
- Design scalable, maintainable deployment systems for our data and ML pipelines supporting Perception.
- Design and integrate monitoring into everything you do so that Sauron’s Perception Team knows what is in our data as well as how our data and ML pipelines are performing.

Who You Are
- Professional experience developing software for hardware products in a safety-critical field.
- Clear understanding of basic linear algebra, optimization, statistics, and algorithms.
- Professional or industry experience working with Pytorch, Tensorflow or other modern deep learning frameworks.
- Strong software engineering practices in Python within a production setting
- Generalist mindset, with the ability to work cross platform, from spooling up cloud compute services to optimizing for embedded systems.
- Experience building reproducible data and machine learning pipelines.
- Production level experience in AWS, leveraging tools (e.g. Terraform, CloudFormation) to maintain infrastructure as code.



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