Staff Software Engineer - Sustainability

About the role:

In this newly-created Staff Software Engineer role, you will lead the charge in digitizing the foundational industries that power our world. You won’t just be managing operational costs; you will be architecting and building the intelligence behind the entire energy lifecycle.

This includes everything from optimizing fuel efficiency and automating emissions reporting to building the complex infrastructure required for global electric vehicle fleets. By leveraging our massive operational dataset, you will provide the technical foundation that empowers our customers to reduce their carbon footprint and transition to a more sustainable future.

In this role, you will: 

• Architect and own the technical strategy for Samsara's entire Sustainability product suite, covering the full lifecycle of fuel and electric vehicle energy.


• Lead the design and implementation of complex, data-intensive systems, shipping production code that directly improves fuel efficiency for our customers.


• Raise the technical standard across engineering by mentoring senior engineers, leading critical design reviews, and driving alignment on our long-term technical vision.


• Spearhead initiatives that leverage vast datasets to solve ambiguous problems, such as fuel fraud detection and signal processing for raw sensor data.


• Drive technical decisions and build consensus across multiple product and engineering teams, acting as the key technical partner to leadership.


• Operate with a high degree of autonomy to identify and solve our most challenging technical problems, taking full ownership from initial concept to operational reality.

What we look for:

• Proven impact designing, building, and operating distributed, fault-tolerant systems at scale. You think in systems and understand the trade-offs required to build for the long term.


• A history of hands-on contribution at a senior level. You are a builder who actively writes code and believes the best architects are close to the implementation.


• Intellectual honesty and a bias for action. You make pragmatic decisions and can navigate the complexities of a large engineering organisation.


• An ability to multiply the impact of those around you. You raise the standard through clear communication, thoughtful mentorship, and an ability to make complex ideas simple.


• Experience working with large-scale data processing or machine learning pipelines. You are comfortable diving into raw data to find patterns and solve customer problems.


• A deep sense of ownership and the ability to drive multi-quarter, cross-functional initiatives to completion without waiting for direction.