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The FPGA Verification Engineer will be responsible for the verification of FPGA-based accelerators in a low latency algorithmic trading platform. Duties include developing verification strategies, authoring documentation, creating reusable testbenches with UVM, and ensuring thorough functional verification prior to deployment.
The FPGA Engineer will design, implement, test, and deliver low latency trading systems. Responsibilities include developing in Verilog/System Verilog, creating test harnesses, integrating firmware, and participating in design reviews within a fast-paced environment.
The DevOps Engineer will provide L1 level monitoring and support for production trading applications and infrastructure, requiring hands-on experience with Linux and basic networking tools, as well as scripting in Bash or Python. The position involves participation in operational shift cycles and managing multiple tasks in a fast-paced environment.
The Software Developer will design, develop, and test proprietary trading software, focusing on trading strategy simulation, data management, and risk analysis while collaborating within cross-functional teams to solve complex challenges.
Overall responsible for technical and operational aspects of high-performance computing systems, including planning, implementation, availability, and performance of the HPC cluster. Owns job scheduling infrastructure and develops necessary API for seamless user experience
The DevOps Engineer will provide first-level monitoring and engineering support for production trading applications and infrastructure. Responsibilities include managing operational tasks, ensuring infrastructure stability, and participating in an operational shift cycle.
The Python Developer will monitor trading for risk and compliance, implement automated trading strategies, troubleshoot production issues, manage risk, and interact with exchanges and brokers. They will work alongside senior traders and contribute to high-frequency trading efforts.
The Data Engineer will construct infrastructure tools for trading teams, improve processes through automation, assemble complex datasets, collaborate with global teams, document programming patterns, ensure quality standards, and optimize code for scalability.
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