Top Senior Level Software Engineer Jobs in Washington DC,

As a Principal Engineer on the database engine team, you will lead the design and development of core features of SingleStore's database engine, solve complex technical problems, mentor other engineers, and collaborate with various departments to optimize customer experiences.

Lead the design and development of Mursion's VR simulation software using Unity and ensure high performance and reliability. Responsibilities include developing interfaces, building prototypes, optimizing code, and collaborating with cross-functional teams to achieve business objectives.

The Senior Consultant will design, build, and test custom data warehouse and BI solutions for clients, translate business requirements into technical specifications, and develop data integration solutions. They will also lead product implementation and conduct training and workshops.

As a Senior Software Engineer at Quansight, you'll focus on numerical and high-performance computing, contributing to open-source projects like PyTorch and NumPy. Your responsibilities include developing features, performance enhancements, and maintaining code, all while collaborating with clients and mentoring team members. Deep learning knowledge is a plus, and the role offers growth in the Python open-source community.

As an Engineering Manager for the Payments team at Versapay, you will lead strategic planning for payment gateway software. Responsibilities include hands-on coding, mentoring developers, collaborating with product teams, and ensuring code quality and team performance while addressing emerging technologies in payments.

The Senior Software Engineer will support frontend development of Cylinder's GIThrive web and mobile applications, shaping user experience while collaborating with product and design teams. Key responsibilities include writing high-quality, maintainable code, ensuring effective documentation, test coverage, and logging, while engaging in problem-solving to enhance GI health insights.

The Postsales Solutions Architect will design, implement, and maintain large-scale distributed machine learning workflows, optimize training performance, and integrate with ML frameworks while collaborating with teams to enhance ML pipelines.