Top C++ Jobs in San Diego, CA

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.

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.

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%.

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 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.

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.

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%.

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.

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.

Design, develop, and field high-performance Ground Control Station and C2 software using C++/Qt/QML and QGroundControl. Lead architecture and technical direction, mentor engineers, define APIs/ICDs, debug integration/latency issues, support field tests, implement post-mission debrief tools, and ensure interoperability with C2 standards.

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.

Lead and manage a perception engineering team developing production-quality C++ perception and state-estimation software (A-PNT) for GNSS-degraded environments. Integrate and test sensor fusion, computer vision, and estimator frameworks on aerial platforms, validate with simulation and real data, and collaborate with hardware, test, and cross-functional teams.

Own and maintain native C++ build systems for autonomous aircraft. Improve developer velocity by reducing build/test cycle time, integrate CI with HIL and simulation, implement monitoring and alerts, troubleshoot build/test failures, and collaborate with engineers to design and deploy DevEx/DevOps solutions.

Design, implement, and deploy safety-critical navigation and state estimation systems for aerospace platforms. Develop EKF and GNSS/INS integration, multi-sensor fusion for GPS-denied environments, FDIR and integrity monitoring, and V&V test plans. Support certification, requirements allocation, performance analysis, flight test evaluation, and provide technical leadership and mentoring.

Design and build automated test capabilities for V-BAT: define and automate system-level test cases, implement interfaces/drivers for simulation and hardware, prototype and harden test solutions, and support release and flight test activities working with GNC and Embedded teams.

Lead design and implementation of tactical autonomy behaviors for unmanned platforms. Develop, test, and deploy multi-agent coordination, motion/behavior planning, and survivability features across vehicles while owning end-to-end system lifecycle and collaborating with integration teams and end users.

Lead design, integration, and fielding of autonomy software on unmanned platforms. Develop mission behaviors, platform control, multi-agent coordination, and deployment pipelines; own validation from simulation to live tests. Drive technical strategy, cross-team architecture, standards compliance, mentor senior engineers, and support on-site test/mission operations and hardware/software debugging.

Lead design and prototyping of generative AI experiences for autonomy development; drive UX for Hivemind products; perform user research, collaborate with CTO and product leads, and deliver reference implementations and integrations across full-stack web and edge systems.

Lead systems engineering for Hivemind-based autonomy products: define and manage requirements, develop system architectures and trade studies, coordinate hardware/software interfaces, support integration/verification/validation and testing, and identify and mitigate technical risks across the system lifecycle.

Integrate autonomy software onto unmanned aircraft, prepare and validate flight-ready systems, support on-site flight tests, debug hardware/software integration, capture and analyze flight data, collaborate with autonomy/GNC/systems teams, improve integration processes, and assist with certification and compliance. Travel ~30-40% for tests and field events.

Develop, integrate, and field autonomy software on unmanned platforms; own end-to-end integration from simulation to live tests; debug embedded/latency-sensitive systems; support on-site flight/sea/space tests; ensure C2 interoperability and improve deployment/test tooling and processes.

Design, implement, and deploy real-time state estimation and sensor-fusion algorithms for autonomous UAVs (IMU, GNSS, visual odometry, radar). Build robust sensor pipelines, conduct simulation/lab/field testing, optimize for constrained hardware, and collaborate across autonomy, software, and hardware teams to transition research into fielded navigation solutions.

Design, implement, and own tactical autonomy behaviors for unmanned platforms. Develop and test multi-agent coordination, motion and behavior planning, target engagement, and survivability features. Work across the software lifecycle, integrate with sensor, estimation, communications, and control systems, contribute to shared frameworks, and support platform integration and testing (travel up to 20%).

Lead and grow the Hivemind Development Platform team to own SDK package management, Nix-based build infrastructure, developer tooling, CLI/SDK experience, and service-backed components. Drive roadmap, cross-team collaboration, operational readiness, reliability, observability, and developer productivity for multi-language SDKs across internal and external users.