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Senior Data Scientist (Lending)

posted by: spj_bot

Senior Data Scientist – DeFi Economic Risk & Security

Location: Remote - Preference is in Europe to overlap 5hours with EST timezone

Compensation: $130K - $150K

Join a pioneering company that provides the first automated, on-chain economic security system for crypto protocols. Our platform is trusted by leading DeFi protocols, collectively securing and managing billions of dollars in assets, by utilizing world-class custom EVM simulations to optimize risk management and capital efficiency. This is a high-impact role at the intersection of quantitative finance, data science, and decentralized technology.

As a Senior Data Scientist, reporting directly to the Head of Economic Risk & Strategy, you will be a critical driver of our modeling capabilities and data insights across the decentralized finance ecosystem. You will lead innovative research to understand market actor behavior and model these dynamics within our advanced simulation platform.

Your Mission & Responsibilities:

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Senior Embedded Software Engineer - Hybrid from San Francisco

posted by: spj_bot

About Jobgether

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our companies is currently looking for a Senior Embedded Software Engineer in San Francisco.

This role is ideal for someone passionate about embedded software and performance optimization. As a Senior Embedded Software Engineer, you will design, develop, and optimize software components for the Nvidia Jetson platform. Your work will involve deep dives into performance improvements, integration with various sensors and devices, and ensuring efficient development cycles for next-generation systems. You'll play a key role in advancing the future of mobile perception and embedded systems.

Accountabilities:

  • Develop, port, and maintain operating systems (OS), boot software, device drivers, and run-time environments for various CPU subsystems on the Jetson platform.
  • Focus on performance optimization, particularly for algorithms tailored to the Jetson architecture.
  • Enhance tools and infrastructure for performance analysis to streamline the development process.
  • Interface with diverse devices and sensors, such as GNSS, IMU, and LTE, integrating them into the overall system.
  • Collaborate with cross-functional teams to ensure seamless integration and continuous improvements.

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