Top Tech Jobs & Startup Jobs in Austin, TX
As a Graduate FPGA Engineer, you will collaborate with FPGA and software engineers to design and maintain trading systems, focus on high-speed hardware designs, and explore new low-latency techniques for system integration. Your role involves working with a multidisciplinary team to optimize trading strategies in financial markets.
As a Graduate Quantitative Researcher, you will develop and implement algorithmic trading strategies using statistical models and machine learning to analyze data sets. You'll work on creating models to predict market movements and determine fair value for financial derivatives in a collaborative, high-performance environment.
As a Software Engineer Intern, you will collaborate with your mentor and teammates to develop real-world applications and optimize systems. You will engage in various projects, including profiling software and building applications, while deepening your understanding of trading fundamentals and financial markets.
As a Quantitative Research Intern, you will collaborate with our research team on practical research challenges that influence trading decisions. You will engage in developing statistical models, trading algorithms, and analyzing high-frequency trading strategies while using advanced quantitative methods and machine learning techniques.
As a Graduate Software Engineer, you will develop well-architected solutions for trading and capital markets in a collaborative team environment, enhancing the firm's competitive edge. You will gain hands-on experience, guided by mentorship, while improving your coding skills in essential programming languages.
As a Quantitative Research Intern, you will work with a research team to develop models that impact trading decisions. Responsibilities include using statistical models and machine learning for trading algorithms, analyzing data for trading strategies, and building stochastic models for financial derivatives. You'll gain hands-on experience and may receive a full-time offer based on your performance.
The Machine Learning Research Engineer at Optiver focuses on deep learning for price forecasting, building training and inference pipelines, enhancing deep learning frameworks, and understanding trading systems. They will collaborate with researchers and engineers to impact trading strategies directly.
Managing the supply chain and operations of a hardware manufacturing facility, ensuring seamless integration with the broader organization, overseeing material requirements, stock levels, vendor relationships, and package management. Partnering with various internal teams for efficient operations.
As a Machine Learning Performance Engineer at Optiver, you will build and optimize deep learning infrastructure, engage with team members to enhance AI initiatives, identify performance issues, and deepen your knowledge of trading systems.
The Senior Software Engineer will lead large technical projects, set the vision for trading infrastructure, and collaborate with traders and engineers. Responsibilities include designing, developing, and maintaining trading systems while adhering to coding and architectural standards. The role emphasizes a deep understanding of trading mechanics, innovative thinking, and continuous improvement in a fast-paced environment.
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