Software Engineer Jobs in Santa Clara, CA

As a Software Engineer, you will develop and maintain the Tally software stack, enhance robot navigation and autonomy, and support CI/CD processes.

Seeking a Senior Software Engineer for Observability to enhance logging, tracing, and metrics systems, ensuring optimal performance and reliability at scale.

The Senior Software Engineer will develop applications for hardware management, improve user experiences, resolve API integration challenges, and enhance automation and reliability of fleet operations.

As a Software Engineer in ML/CV, you'll develop sensor fusion architectures, create datasets, and build pipelines for data mining and model training.

As a PhD Software Engineer Intern, you will code, debug, and triage, while applying your skills in deep learning and AI.

This role involves developing and validating real-time sensory data processing systems for self-driving vehicles, focusing on sensor integration, calibration, and the perception pipeline.

The role involves integrating NVIDIA solutions into engineering workflows, developing Omniverse Kit-CAE functionalities, and collaborating with customers and ISVs to advance industrial engineering solutions.

As a Backend Software Engineer, you will develop technologies for crypto trading, collaborate with teams, optimize services, and document processes.

Develop and oversee user-facing features, create REST APIs, and collaborate with cross-functional teammates, ensuring product quality and mentoring junior engineers.

You will build a search and assistant product, improve personalization, train models, and write robust code while mentoring junior engineers.

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.

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

The Software Engineer will develop tools and infrastructure for safety-critical software, collaborating with multifaceted teams to enhance development processes.

Full Stack Software Engineers at PayPal develop and enhance digital payment platforms, focusing on both frontend and backend development. Responsibilities include task implementation, code reviews, and collaboration with cross-functional teams.

The Software Engineer will design, develop, and deploy features for a social commerce platform, collaborating on both backend and frontend systems, ensuring reliability and performance in a dynamic environment.

Assist in developing, testing, and deploying internal software applications while collaborating with teams to gather requirements and improve practices.

Design and implement foundational data systems for AI, focusing on efficiency and performance at scale. Collaborate on systems that optimize data handling and contribute to research advancements.

The role involves working with embedded systems, focusing on device drivers and communication protocols like I2C and SPI in a Linux environment, and requires Python programming skills.

The Software Engineer will leverage advanced software engineering skills to develop solutions in investment management, focusing on data management, reporting, and application support.

The role involves building and integrating generative AI systems, participating in the AI product development lifecycle, and collaborating with various teams to meet customer requirements.

Drive and deliver initiatives to enhance developer productivity through AI-driven solutions and lead complex technical challenges in Developer Experience.

Develop and maintain features for the Netflix iOS player, optimizing performance and collaborating with teams to enhance user experience.

Design and develop GPU driver features, solve performance issues, and collaborate with global teams, requiring strong systems software expertise.

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