Top C++ Jobs in San Diego, CA

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 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.

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.

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%).

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.

Integrate autonomy software onto unmanned aircraft, prepare and validate flight-ready systems, support on-site flight tests, debug hardware/software interactions, capture and analyze flight data, collaborate with autonomy/GNC/systems teams, and support certification and compliance. Frequent travel (~30-40%) for field tests.

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.

Design and implement tactical autonomy algorithms and high-performance software for unmanned air/land/sea platforms. Build behavior architectures, integrate classical and learning-based methods, run simulations and field tests, analyze mission data, and support defense programs and deployments.

Design, build, and scale automated test frameworks and CI/CD infrastructure for distributed autonomy software. Develop Python tooling, GitLab CI pipelines, UI/API tests (Go/TypeScript), HIL simulators, and AI-assisted workflows. Integrate testing across simulation, edge, cloud, and hardware; analyze failures; improve coverage, observability, and verification for safety- and mission-critical aerospace systems.

Lead and mentor a team integrating and validating the Hivemind autonomy platform across SIL, HIL, and flight environments. Drive architecture and tooling for integration, review logs/telemetry/rosbags, triage cross-system defects, partner with Engineering/Product/Program teams, and ensure capabilities meet product and customer requirements while remaining hands-on in system integration and debugging.

Design and implement full‑stack, low‑latency web-based Ground Control Station and C2 systems (map-centric UIs, real-time telemetry, video streaming), lead architecture and APIs, mentor engineers, support field tests and mission deployments, and ensure interoperability with C2 standards.

Lead software architecture, design, development, testing, and deployment of real-time C4ISR and simulation systems. Drive customer engagement to gather requirements, guide development, mentor team members, and support demonstrations and live flight exercises. Participate across the full software lifecycle and support integration of distributed, full-stack capabilities.

Lead and grow a small software engineering team building MongoDB's distributed query engine. Mentor engineers, contribute code, guide architecture and feature design, remove blockers, coordinate dependencies, plan hiring and resources, estimate delivery timelines, and set team culture to deliver new query features and performance improvements.

Serve as the primary interface between perception software and flight test teams to integrate, deploy, and validate autonomy/perception algorithms on edge hardware. Lead sensor selection, calibration, time synchronization, test planning and execution, data quality management, and analysis to mature perception capabilities from algorithm to flight-verified system.

Design, develop, and integrate cellular modem modules for OpenWrt-based platforms, owning the end-to-end modem stack including drivers and network configuration.

Develop and integrate core platform software and infrastructure for autonomous systems. Own integration across SIL/HIL/VIL and edge deployment, build reference implementations and tooling, support embedded hardware bring-up, debug Linux-based systems and hardware interfaces, and partner cross-functionally to improve stability, APIs, and scalability.

Design, build, and deploy AI agent plugins and integrations for HR systems (Moveworks/Serval, ServiceNow, Workday). Lead technical analysis, API-based integrations, automation workflows, testing, documentation, and stakeholder collaboration to ensure secure, scalable HR automation solutions.

The Technical Lead will architect and implement systems for data processing and testing workflows in the autonomous vehicle development space, optimize software engineering practices, and guide a team of engineers.

Lead design verification for FPGA/ASIC signal-processing and control systems: plan and build SystemVerilog/UVM/OVM/VHDL self-checking, constrained-random testbenches; develop test plans; collect/analyze coverage; create reusable VIP; lead and mentor DV teams; drive process improvements and execute schedules.

Lead the edge deployment strategy for Deepgram's speech AI models, optimizing for performance on constrained hardware and collaborating with partners like Qualcomm to deliver secure solutions for defense customers.

Join MongoDB's Query Execution team to improve the database's core execution engine, build high-performance query features, and mentor team members. You will drive roadmap initiatives and ensure production-ready code for complex analytical workloads.

Develop, integrate, and field autonomy software for launched effects platforms, owning features from design through live flight testing. Drive technical execution, collaborate with autonomy, perception, and vendor teams, support system bring-up and field operations, and implement C2 interoperability and deployment processes. Travel to tests and customer exercises to support mission execution and debugging.

Lead technical delivery and integration of autonomy software for V-BAT and X-BAT, defining flight-autonomy interfaces, integrating payloads and mission autonomy, coordinating cross-team engineering, ensuring mission readiness, supporting flight tests and deployments, mentoring engineers, and improving integration workflows and testing infrastructure.