Software Engineer Jobs in Santa Clara, CA

The role involves integrating sensors into autonomous driving software, developing user experience, and performance optimization, requiring collaboration across teams.

Design and implement core platform services, build data-processing pipelines, and maintain backend systems while ensuring quality through code reviews and tests.

Design, automate, and execute complex system-level tests for networking products using Python and AI-driven methodologies, improving product quality and addressing customer escalations.

Design and implement data platforms, manage data infrastructure, develop streaming architectures, improve performance, and ensure data compliance.

The Staff Software Engineer leads the Developer Experience team, driving technical strategies and addressing complex developer productivity challenges at CoreWeave, focusing on building robust developer platforms and enhancing engineering processes.

As a Senior Software Engineer on the Developer Experience team, you will drive architectural decisions, design systems for developer productivity, mentor engineers, and enhance the platform's capabilities to improve developer workflows and system reliability.

Lead visual mapping and localization efforts by building advanced mapping pipelines and real-time localization algorithms using various sensor data.

The role involves developing diagnostic software for hardware validation in high-speed digital designs, working closely with engineering teams and participating in project management activities.

Design and develop tools for verifying the correctness of smart contracts, extend verification algorithms, and collaborate with engineers on technical solutions.

Lead the development of core product components in backend systems, optimizing performance, enhancing scalability, and mentoring junior engineers.

As a Senior Software Engineer on the Cash App Banking team, you will lead the design, execution, and delivery of banking features, collaborating across teams to enhance the user experience.

As a Staff Software Engineer, you will lead technical strategies, drive architectural decisions, mentor engineers, and develop consumer banking solutions using various technologies.

The role involves developing and maintaining the Query layer in a Kubernetes environment, optimizing a proprietary time series database, and ensuring the reliability and scalability of applications.

As a Senior Software Engineer II, you'll design and operate a Kubernetes-native platform for AI workload orchestration, improve performance, and mentor engineers.

As a Staff Software Engineer, you'll enhance AI research infrastructure on Kubernetes, addressing client needs and improving job orchestration and documentation.

The Senior Software Engineer II will build Kubernetes-native research cluster platforms, assist customers directly, and enhance ML infrastructure for AI workloads.

Lead design reviews and architecture in a Kubernetes-native inference platform, improve latency and reliability, mentor engineers, and implement optimizations.

The Staff Software Engineer will lead the architecture and design for AI workload orchestration on Kubernetes, mentoring engineers and driving technical initiatives across teams.

The role involves architecting cloud solutions, developing AI-assisted tools, mentoring engineers, and defining feature specifications for developer tools.

The Software Engineer will build data pipelines, maintain production systems for battery dispatch, collaborate with ML teams, and ensure system reliability.

Join WeRide as a Software Engineer to tackle complex AI and robotics challenges in autonomous driving technology, focusing on computer vision, sensor fusion, and machine learning.

WeRide is seeking a Backend/Infrastructure Software Engineer with 3+ years of experience to build large-scale systems for autonomous driving technologies.

Design and implement RTOS and hypervisor architectures for automotive systems. Ensure safety and security compliance while enhancing software quality using formal methods.

Develop and optimize deep learning compilers and software stacks for AI hardware. Ensure high performance and power efficiency in applications.

Engineer software that connects AI-driven platforms to datacenter power infrastructure. Develop control strategies and optimize energy use and AI workloads.