Top Remote Senior Level C++ Jobs in Las Vegas, NV

Join Redis's core AI team to research, design, and implement advancements for Large Language Models (LLMs), focusing on optimization for relevance, latency, and privacy. Responsibilities include model optimization, tool development, and addressing complex NLP problems. Ideal for a self-directed individual with expertise in machine learning models and NLP.

The Sr Staff Enterprise Application Engineer will lead and coordinate PLM discussions, develop enterprise tools, evaluate technology trends, mentor teams, and ensure alignment between enterprise strategies and business goals, alongside hands-on POC development and application design.

Limitless is seeking a Senior / Staff Software Engineer (Generalist) to contribute to the development of their web, Mac, Windows apps, and wearable technology. This role involves working with a variety of programming languages and collaborating with different teams to drive innovation and improve product offerings.

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.

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.

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 a Senior AI Platform Engineer, you will design and maintain AI infrastructure, collaborate with teams to ensure robust systems, optimize models for efficient inference, manage AI models in production, and implement security protocols. You will also stay updated on industry trends and present possible use cases.