Top C++ Jobs in San Diego, CA

As a Systems Test Engineer, you will integrate and test systems for Hivemind software, conduct flight tests, write Python code, and improve testing methodologies.

Develop full stack tools to improve autonomy workflows, enhance data visualization, and streamline user experience across various development platforms.

Design and maintain data pipelines, CI/CD processes, and infrastructure using modern tools. Requires strong experience in Python, Go, and cloud technologies.

Develop algorithms for ego pose tracking and static environment tracking, work with cross-functional teams to execute on target platforms.

As a Sr. Machine Learning Engineer, you'll develop ML solutions for healthcare, manage data pipelines, write production-ready software, and own ML services end-to-end.

The role involves testing and validating software for autonomous systems, designing automation tools, and optimizing testing efficiency across various platforms.

Lead the design and development of cyber secure embedded software for satellite avionics and payload data processing systems, mentoring junior engineers, and ensuring high-quality software practices.

The SharePoint Developer will focus on architecture and development using SharePoint technologies, oversee web development, and support both legacy and new applications while consulting with project managers and clients.

Develops and maintains business applications and systems, leads cross-functional projects, ensures compliance with standards, and contributes to innovative solutions.

Develop reports using SSRS and SQL, refine based on client feedback, and ensure compliance with technical and business requirements. Develop and maintain business applications and infrastructure solutions.

The role involves designing, implementing, and integrating autonomy behaviors onto UAV platforms, collaborating with cross-functional teams, and conducting flight dynamics modeling and testing.

Develop and troubleshoot middleware and communication software, including features for EdgeOS, simulation development, and systems integration.

Lead a technical team in the development and integration of autonomy algorithms for aerospace and defense systems, ensuring seamless performance and collaboration.

Design and implement scalable software systems, develop backend services and APIs, manage data pipelines, and ensure secure deployment of intelligent systems for autonomy.

Develop and maintain real-time sensor software solutions for autonomous vehicles, integrating AI/ML algorithms for various sensor systems across multiple domains.

As a Systems Engineer, you'll develop and validate software for autonomous vehicles, focusing on deployment, testing, and integration with various sensors.

The Computational Fluid Dynamics Applications Engineer will analyze complex engineering problems using CFD tools, develop methodologies, generate meshes, interpret results, and work collaboratively on product design and validation.

This role involves developing methodology and automation for pre-silicon emulation and prototyping, collaborating with multiple engineering teams to enhance design efficiency.

As a Senior Software Engineer, you'll integrate AI technologies into UXS and support SOF missions by developing software and enterprise architecture, conducting code reviews, and enhancing operational capabilities.

The DevOps Engineer will enhance the DevOps culture within agile teams by implementing CI/CD, coaching, and developing quality products across various roles.

Design and implement automated test solutions for RF connectivity SoC devices, ensuring high performance and quality for wifi and Bluetooth products.

The role involves training large-language models to improve code generation, reviewing and editing AI-generated code, and providing feedback for reinforcement learning refinement.

Lead the design and development of network emulation capabilities within simulation environments, integrating realistic network conditions, and building the EdgeOS Communications network library.

Lead the architecture and implementation of networking components for MongoDB, focusing on performance and observability while mentoring team members and managing projects.

The role involves building user-facing features for data processing in MongoDB, improving the query engine, and collaborating on product integration. Responsibilities include delivering production-ready code, mentoring team members, and contributing to roadmaps.