Top C++ Jobs in San Diego, CA

Design, implement, and deploy autonomy capabilities for space platforms including distributed optimization, tasking/scheduling, track fusion, RPO, and motion/behavior planning. Build high-performance, well-tested software modules, collaborate across perception, planning, simulation, hardware, and flight test teams, support deployments and mission log analysis, and contribute R&D and roadmaps to advance autonomy for satellites and missile defense.

Lead development of autonomy capabilities for space platforms including distributed optimization, tasking/scheduling, track fusion, RPO and motion planning. Build high-performance, well-tested software, integrate on real vehicles, support deployments and testing, and research/roadmap advanced autonomy techniques for defense applications.

Lead development of space autonomy capabilities including distributed optimization, tasking/scheduling, track fusion, rendezvous/RPO, and motion/behavior planning. Build high-performance, testable software, integrate and validate on real platforms, support deployments, and mentor engineers while contributing R&D and roadmaps.

Summer software engineering intern contributing to code development, debugging, and system stability improvements. Work with modern stacks (frontend, backend, cloud, databases) while learning in a collaborative LEAP internship program and supporting defense-related projects.

The Autonomy Software Engineer will develop and integrate systems, lead teams, conduct tests, and engage with customers to ensure robust mission systems solutions.

The Lead Software Engineer will design, implement, and test software for advanced data communications and networking solutions, mentor junior engineers, and lead technical discussions in a fast-paced environment.

Lead integration of autonomy software onto diverse platforms by designing and implementing interfaces between autonomy, vehicle subsystems, sensors, payloads, and communications. Configure Linux mission environments, middleware, containers, and deployment pipelines; support SIL/HIL/VIL validation, field tests, demonstrations, troubleshooting, and cross-team coordination while mentoring junior engineers.

Drive SoC and server platform performance by characterizing real-world AI/HPC workloads on production silicon, designing microbenchmarks, diagnosing bottlenecks, and translating findings into architectural and system-level optimizations while collaborating with hardware and software teams.

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.

Design, build, and operate a scalable multi-tenant control plane and high-performance AI storage platform. Implement and optimize exabyte-scale S3-compatible object storage and distributed filesystems, improve reliability and observability, collaborate across infrastructure and platform teams, and mentor engineers on distributed systems best practices.

Lead and manage software engineering teams to design, build, and integrate enterprise applications. Drive coding, testing, code review, CI/CD practices, and mentor staff while overseeing project planning, budgeting, and client delivery to meet timelines and quality standards.

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.

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.

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%.

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.

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.

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, 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.

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, 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 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.