About the role:
The Samsara R&D Data team drives analytic capabilities and scalable data technologies, enabling decision-making, science, engineering, and product development across Samsara. As a Staff Software Engineer, you will be a technical leader, responsible for designing and driving software, tools, and a data architecture focused on enabling self-service adoption at scale. Your work and scope will include our core data model and the software architecture that runs it. You will work closely with scientists, data engineers, and software engineers, as well as full-stack, firmware, and platform teams.
This role is open to candidates residing in the US except the San Francisco Bay Area and NYC Metro Area and Canada.
In this role, you will:
- Lead an org-wide architecture that will enable self-service data consumption across Samsara. Democratize the use of data through software and data sets.
- Design novel data-related technologies that scale
- Own and lead the design and build-out of our Data Model.
- Tech-lead a team of software and data engineers
- Work with petabyte-scale data from the Samsara products, including camera and sensor devices
- Stay connected to industry and academic research and adopt novel technology that suits Samsara’s needs
- Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices
Minimum requirements for the role:
- A post-secondary degree in Computer Science, Engineering, Mathematics or other relevant field
- 8+ years experience as a Software Engineer, or a Data Engineer with a software focus. 2+ years in technical leadership
- Experience designing and building large-scale data models
- A strong understanding of SWE fundamentals
- Expert experience in Spark, SQL, Scala, Python, Go, and other relevant technologies
- Ability to distill informal or ambiguous customer and business requirements into crisp problem definitions
- Proven ability to communicate verbally and in writing to technical peers and leadership teams with various levels of technical knowledge
- Experience coaching and mentoring scientists
An ideal candidate also has:
- Masters or higher in Computer Engineering or other related field
- Strong mathematics skills, and an understanding of statistics and/or machine learning
- Strong functional knowledge of tools like Databricks, Delta, Airflow, etc.
- Record of successful mentoring and development of team members
- Experience working with large datasets (including product and time series data) using distributed computing (e.g., Spark, Hive)
