Top Software Engineer Jobs
Lead a team of firmware engineers to deliver firmware for mining systems and self-custody wallet. Define technical strategy, foster culture of delivery and quality, collaborate with senior leaders.
Work as a Senior Business Intelligence Engineer at Cash App, focusing on data architecture, modeling, and pipeline tooling. Collaborate with cross-functional teams to analyze and optimize large datasets for impactful business decisions in the Financial Products team.
Design and implement features to expand the Android SDK products' addressable market, collaborate with teammates, onboard new engineers, and develop existing ones.
Seeking an Engineering Manager to lead the Pricing & Reporting Web team in delivering compelling web experiences for businesses using Square. Responsibilities include managing a team of 9 web engineers, collaborating with cross-functional teams, defining KPIs, and upholding exceptional product delivery practices.
As an Embedded Software Engineer at Proto, you will be responsible for prototyping, designing, and delivering software applications to support Block's custom Bitcoin mining chip. This role involves working with ASIC and Electrical Engineering teams to redefine Bitcoin mining technology. Responsibilities include building, testing, and deploying software on embedded and Linux environments. Travel to Block hardware lab in Oakland, CA or Toronto, CA may be required 1-2 days a week.
The Staff Software Engineer - Access, Trust at Cash App is responsible for maximizing trust and expanding access to the ecosystem by managing authentication, sessions, and authorization. They play a critical role in providing financial access to underserved customers while ensuring a secure user experience. The role involves building a reliable technical foundation and intuitive customer-facing features.
The Embedded Software Engineer at Proto will be responsible for prototyping, designing, and delivering software applications to support Block's custom Bitcoin mining chip. The role involves working on both embedded and Linux environments and collaborating with the team on feature development and technical decisions.
Design, build, and support core systems for cards programs, refactor existing systems, creatively solve technical problems at scale, collaborate with cross-functional teams, mentor fellow engineers.
Develop scalable AI platform, improve productivity, define future AI initiatives, collaborate across teams, lead AI innovation, drive alignment with AI strategy
Lead projects to evaluate and tune performance of embedded devices across the Squid device ecosystem. Analyze system-wide performance, identify and resolve bottlenecks, work with cross-functional teams, and provide technical leadership in performance engineering best practices.
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