Top Linux Jobs

Looking for a GPU Software Engineer with 7+ years of development experience in GPU architecture and virtualization. Must have expertise in OpenGL, Vulkan, and strong background in computer architectures. Experience in Linux, Android, real-time operating systems, x86, ARM, and emulator technologies required. Strong communication skills and passion for delivering high-quality software.

The Principal Engineer will lead engineering initiatives to enhance product quality and performance, participate in architecture and design, engage in intellectual property protection, mentor new hires, and evaluate third-party libraries. Responsibilities include planning and tracking project status, improving existing features, and participating in industry engagements.

As a Senior Back End Developer at FIT:MATCH.ai, you will enhance the architecture for our SaaS platform, develop scalable backends for e-commerce, optimize data processing, and contribute to system design. Strong experience with RESTful APIs and server-side languages is essential.

As a Software Engineer IV, you will develop new tools, enhance features, and automate system deployments. You will work with programming languages Python and PHP, utilize Ansible and BASH scripting, and manage system configurations to support customer projects.

Join Squarepoint as a Quant Developer specializing in high performance software engineering. Assist in research, backtesting, and implementation of trading strategies. Collaborate with quant researchers and traders to develop and maintain critical trading infrastructure. Strong communication and teamwork skills required in this fast-paced environment.

The HPC Engineer will design and implement high performance computing architectures, including clusters and cloud HPC solutions. Responsibilities include evaluating hardware components for performance optimization, managing HPC systems, monitoring system health, and ensuring project compatibility with big data analytics and AI initiatives.

The Software Engineer (Full-stack) will develop and scale Profluent’s data information platform, focusing on user-facing applications and cloud-based workflows. Responsibilities include building scalable cloud pipelines, designing database models, and collaborating with scientists for user-testing.