Top Hybrid C++ Jobs

The Senior Software Engineer will build high-performance sensor infrastructure and collaborate on data-intensive solutions involving embedded dashcam software, mobile apps, and backend processing. Responsibilities include developing systems for handling extensive data from sensors and ensuring efficient edge computing integration.

The Senior Application Software Engineer will lead the development of application software for Shaper Origin, implementing user interactions and functionality using Qt, QML, and JavaScript. The role involves collaborating with engineers, validating work through automated testing, and contributing to product development within a workshop environment.

The Quantum Software Architect will lead the development of the software stack for quantum computer systems, collaborating with key stakeholders to establish a long-term vision. Responsibilities include guiding feature development, architectural decision-making, and ensuring the software meets operational needs and quality standards. The role involves mentoring team members and driving collaborations between product and engineering.

The SDE I at Nium will be responsible for delivering large features in backend systems, collaborating with product teams, and ensuring system quality, reliability, and security. The role involves building scalable and reliable backend services and APIs.

The Staff Software Engineer will architect and implement data infrastructure, devops, and APIs to automate engineering processes. Responsibilities include designing tools, managing data pipelines, and providing technical mentorship. The role focuses on improving data collection and analysis tools for autonomous aircraft development.

Develop high-quality open source software to simplify distributed programming with Ray. You will optimize Ray’s Datasets library, integrate ML training and data sources, improve testing processes, and lead integration of streaming workloads.

Design, implement, test, and deploy REST APIs that are secure, scalable, and reliable for various use cases. Optimize existing APIs while collaborating with multiple teams to meet end-user requirements and ensure performance and observability using AWS technologies.

As a Senior AI Acceleration Engineer, you will optimize and accelerate machine learning models for embedded hardware, develop custom performance kernels, customize inference optimization frameworks, analyze performance metrics, and collaborate with cross-functional teams.

As a Software Engineer focused on deep learning for computer vision, you will design machine learning algorithms, develop deep neural networks for robotics applications, and process various sensor data. You'll also set up training pipelines and work closely with a collaborative team to enhance system performance.