Top Remote Software Engineer Jobs in Sacramento, CA

As a Senior MuleSoft Engineer, you'll lead the production of MuleSoft integrations, leveraging AI for development, testing, and delivery, managing multiple client engagements autonomously with clear communication on project status.

The Kernel Optimization Engineer will develop high-performance software solutions by optimizing deep learning operations and designing new machine learning kernels for the Cerebras hardware system.

Lead high-impact initiatives and architect enterprise-grade APIs while mentoring engineers. Collaborate across teams to influence technical strategy and scale platform architecture.

Design, build, and lead scalable API and platform features. Mentor junior engineers and drive technical initiatives from design to delivery.

Lead the Data & Cloud Platform for the AI organization, building cloud runtime, unified data access layers, agent memory/context systems, and data ingestion/transformation pipelines. Split time between hands-on engineering and managing a small team, set platform patterns, ensure privacy-aware data handling, and partner with product and governance teams to scale maintainable, cost-effective infrastructure for AI workloads.

The Staff Engineer will build web APIs and data pipelines for electricity cost modeling, collaborating across teams and ensuring efficient code in the energy analytics domain.

The Staff Software Engineer will lead technical initiatives, drive quality code, mentor engineers, and work on scalable systems in a high-impact team environment.

Seeking a Senior Elixir Engineer to develop scalable systems and contribute to technical decisions within product groups, focusing on Elixir and cloud technologies.

The Senior Software Engineer will develop robust systems using Elixir, collaborate on product strategy, and ensure system performance and reliability.

The Senior BIM Coordinator manages BIM project data, coordinates with design teams, prepares execution plans, and ensures compliance with BIM standards while mentoring project teams.

As a Software Engineer, AI/ML GenAI, you will design and implement AI features, manage embeddings, and optimize AI systems for production deployment while collaborating with product and design teams.

Lead and mentor engineering teams, drive technical planning and execution, focus on AI product features, and promote a collaborative culture.

Develop and enhance the NIM Platform SDK and microservice framework, focusing on high-performance AI inference. Collaborate across teams and optimize cloud microservices for scalability and reliability.

Design, implement, and extend compute debugger tools and libraries for NVIDIA GPUs across Windows, Linux, and embedded RTOS. Apply debugger, binary-instrumentation, and computer-architecture expertise to integrate new features, collaborate with cross-functional teams, document designs, estimate work, perform peer reviews, and mentor junior engineers.

Design, build, and operate exascale distributed systems and orchestration for AI research. Implement storage and compute scheduling across multi-region clusters, improve reliability and observability, collaborate with security and platform teams, and translate researcher requirements into scalable, high-performance infrastructure.

The role involves owning and evolving Django API routes, building backend systems, improving system performance and reliability, and collaborating cross-functionally to support internal tools and workflows.