Top C++ Jobs in San Diego, CA

Lead and define DevSecOps strategy and secure cloud/on-prem platform architecture. Architect CI/CD, container hardening, security automation (SAST/DAST/SCA), observability, and compliance (STIG). Oversee infrastructure, mentor teams, and integrate emerging tools including AI into pipelines to support mission-critical deployments.

Design, implement, and optimize firmware for battery charging, PMIC integration, and power management across product lifecycle. Support hardware bring-up, NPI, manufacturing, field sustainment, low-level drivers, debugging, and cross-functional collaboration to maximize power efficiency, safety, and reliability for wearable devices.

Design, develop, and maintain software applications; collaborate with product, design, and engineering teams; write clean, scalable code; participate in code reviews; troubleshoot defects; stay current with emerging technologies.

Design, develop, and maintain software applications. Collaborate with product, design, and engineering teams. Write clean, scalable code, participate in code reviews, troubleshoot defects, and stay current with technologies.

Design, develop, and maintain scalable software solutions. Collaborate with product, design, and engineering teams. Write clean, efficient code; participate in code reviews; troubleshoot complex defects; and stay current with emerging technologies.

Develop, test, and deploy features for the core product while collaborating with product, design, and QA. Participate in code reviews, write clean documented code, troubleshoot and optimize existing systems, and contribute to process and tooling improvements. Gain hands-on experience and mentorship in a fast-paced engineering environment.

Design, develop, and maintain advanced software systems. Collaborate with product, design, and engineering teams. Write clean, scalable code, perform code reviews, debug complex issues, and stay current with technologies.

Design, implement, and deliver user-experience applications in an Agile environment. Collaborate with systems, cloud, DevSecOps, and test teams to develop JEE/SOA enterprise solutions, GUIs, and prototypes. Apply OOP, JMS, web services, XML technologies, and multiple programming languages (Java, C, C++, Python). Participate in integration, test, build/release, and lifecycle processes. Work full-time on-site in San Diego, require Top Secret clearance and SAP access; travel up to 10%.

Develop and deliver user-facing enterprise software in an Agile environment. Design and implement GUIs, work with JEE/SOA, integrate and test software, collaborate with systems, cloud, DevSecOps, and test teams, and support on-site program requirements including SAP access and security clearance obligations.

Contribute expert-level code samples, implement and optimize features, debug complex defects, refactor legacy code, document technical decisions for AI training, and review peer submissions across Python3, Java, Rust, Go, C++, and TypeScript codebases in a part-time remote contract role.

Design and implement high-performance networking infrastructure for large-scale AI training on Azure. Lead architecture, produce secure, maintainable code, define test strategies, use AI tools for development and automation, review code, and collaborate across teams to ensure performance, scalability, reliability, and observability.

Design, implement, debug, and ship front-end features for Azure Storage at cloud scale. Drive design, dependency identification, and documentation. Act as DRI, participate on-call monitoring and incident response, and improve service reliability, performance, automation, and observability in collaboration with stakeholders.

Design, implement, and operate cloud-scale telemetry platforms and data pipelines for Azure Monitor. Lead cross-team architecture, mentor engineers, improve AI-enabled development practices, ensure security/compliance, and resolve complex production incidents.

The DevOps Engineer II will develop and manage complex software systems, maintain CI/CD pipelines, and ensure deployment across platforms. Responsible for design reviews, automation scripts, and troubleshooting, alongside working with Project Management on release schedules.

Lead perception technical efforts for UAS programs: design target detection/tracking and nonlinear state estimators, architect multi-sensor world modeling, integrate ROS2/DDS interfaces, optimize real-time C++ embedded deployments, and mentor engineers while contributing reusable platform components.

Join TI's Career Accelerator Program to receive technical and professional training while working as a product, test, or validation engineer. Design, build, qualify, and support analog and embedded ICs; develop test hardware/software, debug products, optimize tests, and verify device failures. Lead cross-functional problem solving, drive cost/capacity/yield improvements, resolve customer quality issues, and liaise with fabrication and assembly sites to ensure manufacturing readiness and product performance.

Design, build, test, deploy, and operate scalable, secure Azure networking software and automation tools. Act as DRI, monitor production, troubleshoot incidents, run root-cause analysis, and drive reliability, performance, and cost improvements. Collaborate with PMs and architects, participate in design/code reviews, mentor engineers, and champion security, privacy, and compliance.

Design, build, and maintain reliable distributed and cluster environments, engineering systems, and deployment automation for Fabric SQL Data Warehouse. Collaborate across teams to troubleshoot, define requirements, produce secure performant code, lead design discussions, contribute to roadmap and architecture, and participate in on-call rotations to maintain service health.

Design, build, and maintain scalable infrastructure and CI/CD pipelines for TensorRT Edge-LLM across embedded and desktop GPU/CPU platforms. Configure and operate tools (CMake, GitLab, GitHub Actions, Kubernetes, Docker), monitor systems, automate builds/tests, address security CVEs, and collaborate with autonomy and external partners to improve development velocity and reliability.

Lead and grow a software engineering team to design, build, and operate high-performance, scalable, observable networking systems for Azure AI/HPC infrastructure. Drive architecture, reliability, testing, automation, and cross-team collaboration to support large-scale distributed training and inference workloads.

Design, build, and maintain Azure-based full-stack skilling platforms and CI/CD pipelines. Implement scalable microservices, REST APIs, automation, and AI/LLM features, improve site reliability, automate testing, and collaborate across teams to ensure secure, high-quality production deployments.

Lead design and development of infrastructure, automation frameworks, and internal developer tools. Build scalable services, APIs, dashboards, workflow engines, and LLM-powered workflows integrated with CI/CD, source control, test infrastructure, and observability. Define architecture and reliability practices, mentor engineers, review designs, and provide technical leadership for automation and tooling projects.

Research and implement GPU-acceleration techniques for high-performance databases and ETL. Analyze and optimize data-intensive workloads, collaborate with hardware, systems, and research teams to influence next-generation architectures and programming models, and publish/share findings with customers and the community.

Lead design and delivery of cloud-based solutions, collaborate with customers and product teams, produce extensible code, mentor engineers, own design documents and dependencies, act as a designated responsible individual (DRI) including on-call system monitoring, and improve reliability, performance, and observability at scale.

Design, implement, and operate low-latency, high-throughput C++, Go, and Python services for real-time sensor ingestion, tracking, inference, and data pipelines. Build IPC/messaging interfaces, optimize data structures and Protobuf serialization, deploy containerized services on Kubernetes (Argo/Helm) in GCP, and implement observability, testing with historic/simulated data, and end-to-end O&M.