Engineering Manager

4 semanas atrás

Goiânia, Brasil Tether.io Tempo inteiro

Engineering Manager (100% remote) at Tether.io Tether.io is a leading digital finance platform powering the world’s most trusted stablecoin, USDT, and a suite of blockchain products. Our mission is to create a global financial revolution by delivering secure, transparent, and scalable solutions. We’re a remote‑first organization that values innovation, collaboration, and continuous improvement. If you thrive in a fast‑paced, high‑impact environment, this is the right opportunity. About The Job As the Engineering Manager for QVAC, our Local AI SDK, you will lead a cross‑functional team of C++ and JavaScript developers focused on building and optimizing AI tools for local deployment. You will report to the Head of AI Development and play a key role in advancing our AI capabilities for edge computing applications. Responsibilities Own timely and high‑quality delivery of features by establishing clear milestones, conducting code reviews, and working with the project management team to track progress and mitigate risks. Manage team leads and individual contributors, organizing workflows according to the product roadmap, including resource allocation, sprint planning, and performance evaluations to foster team growth and productivity. Collaborate with cross‑functional teams, such as product management and research, to ensure SDK compatibility across platforms, resolve integration issues, and align on technical standards. Ensure that the solutions developed are of high technical standards and follow robust architectural practices established within the company. Requirements Bachelor’s or Master’s degree in Computer Science, Engineering, or related discipline. 8+ years of combined experience in JavaScript and C++ development, with proven engineering management experience leading SDK or similar software development projects, including hands‑on involvement in architecture design and team scaling. Strong understanding of AI frameworks and low‑level hardware optimizations, such as GPU/CPU acceleration, tensor operations, and memory management techniques essential for efficient local AI inference. Excellent communication and leadership skills, with a track record of leading large teams (40+ members) through complex projects, including conflict resolution, mentoring, and stakeholder management. Nice to have Experience with AI SDKs like TensorFlow Lite, ONNX Runtime, or similar tools for local deployment. Familiarity with cross‑platform development, including WebAssembly for JavaScript integration with C++ backends. #J-18808-Ljbffr

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