Samsara
Staff Software Engineer- Sustainability
Vaga remota de Telematics com fit claro de localização do candidato.
PublicadaAdicionada recentemente
Países elegíveis1 país aceito
Sinal de senioridadeLead
Modelo de trabalhoRemoto
Locais aceitos para candidatos
Reino Unido
Resumo da vaga
Staff Software Engineer- Sustainability
Requisitos e responsabilidades
Conteúdo da vaga extraído em seções para revisão mais rápida.
Details
- 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 real time, complex, data-intensive systems, shipping production code that directly improves fuel efficiency for our customers.
- Elevate the technical bar across the organization by mentoring and developing engineers, leading critical architectural decisions, and driving alignment around a cohesive long-term technical vision.
- Spearhead initiatives that leverage vast datasets to solve ambiguous problems, such as driver efficiency and signal processing for raw sensor data.
- Drive technical direction 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.
- Proven impact designing, building, and operating real-time, distributed, fault-tolerant systems at scale, with a systems-oriented mindset and a deep understanding of long-term architectural trade-offs.
- A history of hands-on contribution at a senior level. You are a builder who believes the best architects are close to the implementation.
- You are a pragmatic decision-maker who excels in a fast-paced, high-stakes shipping cycle. You have the stamina for a relentless build pace and the ability to drive results quickly within a complex, global engineering team.
- 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.
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