Top C++ Jobs in San Diego, CA

Develop and lead architecture, development, integration, and testing of safety-critical C++ run-time assurance software for autonomous aircraft. Ensure real-time performance, fail-safe behavior, software quality, certification readiness, and compliance with airworthiness standards. Collaborate across autonomy and middleware teams, create assurance artifacts, establish disciplined development practices, and mentor engineers.

Design and maintain C++ and Python software for complex cross-platform systems. Develop APIs, messaging interfaces, CI/CD workflows, and automated tests while integrating distributed real-time systems, simulation tools, and third-party hardware and software. Debug system-level issues involving threading, timing, and data flow, contribute to architecture, and collaborate across teams. The role requires active Secret clearance and supports potential progression to TS/SCI clearance.

Seeking a Senior Principal Software Engineer to lead software development for defense systems. Responsibilities include technical leadership, software design, C++ coding, and collaborating with engineering teams to ensure mission capabilities for national security.

Software engineering interns develop code, resolve critical problems, and improve system stability and resilience on defense-related projects. Interns collaborate with experienced engineers, contribute to real-world customer solutions, and gain exposure to frontend, backend, cloud, DevOps, database, image processing, machine learning, and GIS technologies through BAE Systems’ LEAP summer 2027 program.

Own the full software development lifecycle, including design, implementation, automated testing, and delivery. Build extensible ServiceNow platform experiences and reusable component systems, collaborate with product owners, and enhance existing products. Apply advanced software architecture, algorithms, data structures, object-oriented design, performance optimization, and relational database expertise. Serve as a technical owner or functional lead, manage cross-team technical risks, mentor colleagues, and promote knowledge sharing.

Engineering internship opportunities span hardware and chip design, testing and validation, systems performance, AI and machine learning, software and tools, technical enablement, and technical product programs. Interns may build, test, debug, model, analyze, or improve technical systems using programming, hardware, simulation, data, and engineering tools. Candidates must be enrolled in a relevant technical degree program and return to their studies after the internship.

Arm’s Graduate Engineering Pathways Program offers early-career opportunities across hardware and chip design, testing and validation, systems performance, AI/ML, software tools, technical enablement, and technical product programs. Graduates work on real products, solve technical challenges, learn new technologies, and collaborate with experienced teams. Candidates must be pursuing a relevant technical or quantitative university degree and demonstrate hands-on technical problem-solving through coursework, research, internships, projects, or open-source work.

Lead full-stack engineering teams building ServiceNow’s AI Experience Framework, a Lit-based platform for reusable conversational user interfaces. Own roadmap delivery, architecture, technical direction, staffing, mentoring, production escalations, and cross-team coordination. Guide decisions involving AI integration, performance at scale, server-rendered components, routing, APIs, state management, and multi-team framework adoption.

Lead development and technical delivery of maritime autonomy capabilities for USVs, UUVs, and cooperating UAVs. Design motion planning, localization, tracking, safety assurance, COLREGS-compliant behaviors, and heterogeneous multi-agent collaboration. Build high-performance, well-tested software, integrate it onto real platforms, support deployment and demonstrations, analyze mission logs, and contribute to R&D roadmaps. Collaborate across perception, planning, simulation, hardware, and operational test teams while helping customers define requirements and technical approaches.

Lead technical direction for maritime autonomy capabilities across multiple programs. Develop motion planning, localization, tracking, safe maritime behaviors, COLREGS-compliant operations, and heterogeneous multi-agent collaboration for USVs, UUVs, and UAVs. Build and integrate high-performance, rigorously tested software; support deployment, vehicle testing, demonstrations, and mission-log analysis. Mentor engineers, guide architecture and roadmaps, research new algorithms, and collaborate across perception, planning, simulation, hardware, and operational test teams. Travel is typically about 25%.

Develop and deploy autonomy software for unmanned surface, underwater, and aerial vehicles in maritime missions. Responsibilities include motion planning, localization and tracking, safety assurance, COLREGS adherence, multi-agent coordination, distributed optimization, rigorous software testing, platform integration, deployment support, mission-log analysis, and autonomy R&D. The role also involves cross-functional collaboration, customer and demonstration support, roadmap development, and mentoring junior engineers. Travel is typically approximately 25% annually.

Provides architectural and technical leadership for institutional exchange systems, including matching engines, order management, market data, risk, and unified trading platforms. Leads ultra-low-latency distributed-system design, cross-team technical alignment, reliability standards, incident response, and multi-quarter initiatives. Maintains hands-on engineering contributions while mentoring senior engineers and developing technical leadership across teams.

Build and operate low-latency market data systems for institutional trading, including feed handlers, normalization pipelines, venue connectivity, and distribution services. Develop high-throughput services, improve reliability and performance through observability and incident response, participate in on-call support, and collaborate with engineering and product teams. The role requires production backend engineering experience, market data infrastructure expertise, Java or C++, messaging frameworks, and exchange connectivity protocols.

Leads a team of 5–10 engineers building real-time market data and analytics infrastructure for trading systems. Owns technical strategy and roadmap, drives delivery, ensures data accuracy, reliability, low latency, and scalability, and partners with Product and engineering teams. Responsibilities include hiring, coaching, developing senior engineers, maintaining engineering standards, and delivering index pricing, market data ingestion and distribution, and funding rate computation systems.

Build and operate low-latency, event-sourced trading infrastructure for Coinbase’s institutional exchange, including matching engines, order management, risk, market data, and funding systems. Own reliability, correctness, incident response, and failover for high-throughput 24/7 production systems. Drive technical designs, collaborate cross-functionally on milestones, and write highly tested performance-critical backend code in Java, C++, or Go.

Investigate autonomous-vehicle safety issues through large-scale telemetry and time-series analysis. Integrate vehicle, incident, software-release, location, and operational data into analysis-ready datasets; perform root-cause investigations; distinguish data-quality problems from meaningful outliers; and communicate rigorous findings to safety, operations, and engineering teams. Develop reusable metrics, detection methods, pipelines, and analytics tooling using engineering and physics-based signal-processing techniques.

Define architecture and metrics for autonomous driving evaluation, lead cross-functional integration across autonomy and simulation teams, develop statistical and machine learning methods, analyze large-scale time-series data, manage evaluation KPIs and release gates, and communicate safety and readiness insights through dashboards and stakeholder presentations.

Lead and grow a team of autonomy engineers to stand up autonomy on novel platforms (space, maritime, rotorcraft), own delivery from design through fielding, write and integrate latency-sensitive autonomy code, coordinate with platform and cross-functional teams, support live tests and deployments, and evolve R&D efforts into longer-term programs.

Lead and grow a small autonomy engineering team to design, integrate, validate, and field autonomy software for launched effects. Own delivery, hiring, mentoring, technical direction, ICDs, pre-deployment validation, live test support, hardware/software debugging, and cross-team collaboration for multi-agent and air-gapped fleet deployments.

Lead system-level verification and validation of aircraft software by designing realistic mission test scenarios, managing V&V events to verify flight readiness, writing Python test analyzers, producing coverage and release-readiness reports, and improving simulation and fault-injection capabilities.

Lead integration and validation of the Hivemind autonomy stack across simulation, HIL, and flight platforms. Configure sensors, drivers, communication interfaces, and platform adapters; develop integration tooling and CI/CD; analyze logs/rosbag to triage defects; collaborate with engineering and product teams to ensure interoperability, release readiness, and end-to-end system compliance.

Hands-on role integrating and flight-testing Hivemind autonomy across Group 1-3 aircraft. Responsibilities include bench and flight bring-up, debugging autonomy/flight controllers/radios, building test tools and automation in Python/C++, developing hardware interfaces, running SIL/HIL/VIL and live flight tests, analyzing data, and improving test infrastructure in collaboration with software, hardware, and flight teams.

Develop and test autonomy behaviors for unmanned systems using production C++. Implement features for behavior, coordination, motion planning, and survivability. Participate in full software lifecycle, integrate with sensors/actuators, support simulation and real-world testing, collaborate cross-functionally, and travel up to 20% to support integration and testing. Must be eligible for a U.S. Secret clearance.

Develop, integrate, and field autonomy software for unmanned platforms; lead a small technical team through design-to-deployment; author ICDs; perform hardware/software debugging, system bring-up, simulation testing, and mission support; mentor engineers and coordinate with internal teams and external integrators. Travel ~10-20%.

Integrate and deploy autonomy software onto unmanned aircraft, prepare flight-ready systems, support on-site flight tests, debug hardware/software issues, collect and analyze flight data, collaborate across autonomy, GNC, and test teams, and support certification, compliance, and process improvements.