Top Senior C++ Jobs in San Diego, CA

Own the technical direction of a core Helius backend system, including architecture, reliability, performance, roadmap, and production operations. Design scalable distributed systems, storage, streaming, or edge infrastructure; drive profiling and performance improvements; establish operational excellence; partner with founders on strategy; mentor engineers; and lead ambiguous cross-team initiatives.

Develop and optimize Elasticsearch performance across distributed and serverless architectures. Responsibilities include implementing performance models, profiling systems, identifying bottlenecks, building benchmarks and regression detection, improving logging, metrics, vector search, and ES|QL performance, and creating AI-assisted optimization tools. The role also involves architectural and code-level optimization, technical analysis, peer reviews, and guidance for fellow engineers.

Develop and improve NVIDIA’s proprietary GPU compiler backend in C++. Design register allocation passes and compiler optimizations for high-performance GPU machine instructions. Collaborate with compiler, hardware, and application teams on improvements and issue resolution. The role spans deep-learning compiler technology and requires strong compiler code-generation experience, preferably with LLVM, plus robust software engineering, testing, and documentation skills.

Provides technical leadership for designing, developing, optimizing, porting, and certifying GPGPU and AI inference libraries built on Vulkan SC drivers. The role targets embedded GPU platforms such as Arm Mali and Intel, maintains AI model testing infrastructure, defines validation standards, supports customer deployments, and troubleshoots drivers. It also involves documentation, competitive analysis, cross-functional architecture decisions, mentoring, onboarding, and exploring emerging AI compute capabilities.

Design, build, and operate scalable, fault-tolerant distributed data infrastructure and platform tooling. Collaborate cross-functionally to architect high-impact systems, contribute to library and platform development, and improve deployment, control, and observability for large-scale data systems.

Design, build, and operate cloud-native, large-scale distributed data infrastructure (Spark, Presto/Trino, Druid, Iceberg). Improve performance, scalability, and reliability, collaborate cross-functionally, and contribute to open-source projects.

Design, implement, and maintain high-performance cloud gaming software stacks across the application pipeline, including hardware-accelerated video/audio/data processing, media encoding/decoding, graphics APIs, and network transport. Optimize local and end-to-end system performance, work across complex codebases and hardware platforms, collaborate across teams, and take ownership from conception to production.

Design, implement, integrate, triage, and unit test multimedia software for Snapdragon-based IoT media devices in Linux/Android. Work on Android multimedia (audio/video/camera), HDMI, camera HAL/drivers, embedded security, HDCP, board bring-up, and kernel-level tasks. Deliver solutions independently and on schedule.

Prototype and integrate GPU-accelerated distributed data processing, compression, databases, and analytics solutions. Optimize complex data-intensive workloads across heterogeneous CPU/GPU architectures, collaborate on next-generation hardware and software designs, and work with customers and cloud service providers to deploy solutions and influence open standards. The role requires deep expertise in parallel programming, C/C++, accelerator architecture, memory systems, and compression or distributed data systems.

The Forward Deployed Engineer collaborates with customer teams to design, prototype, and troubleshoot real-time communication and voice AI applications on the LiveKit platform.

Define high-level SoC subsystem and I/O architecture for LPU products, translate product requirements into architecture and IP specifications, build and validate functional/architectural models (C++, SystemC, Python), and drive tradeoffs across performance, power, reliability, and security while coordinating with IP, firmware, software, RTL, verification, and post-silicon teams.

Build and operate scalable Kubernetes (EKS) infrastructure, develop Terraform infrastructure-as-code, maintain internal developer platform and tooling, support automation, security, and performance, and participate in 24x7 on-call rotations and incident escalation.

Design and implement lane-level localization, perception-map association, and lane selection systems using navigation maps. Develop efficient, safe C++ algorithms and productize software to automotive quality and safety standards for deployment in consumer autonomous vehicles. Work with large-scale real and synthetic datasets and collaborate across teams.

Lead end-to-end development of secure, scalable web applications and data solutions supporting clinical trial operations. Design frontend and backend components using C#/.NET, Angular, AWS, and relational or non-relational databases. Guide architecture, testing, deployment, CI/CD, security, cloud optimization, and regulatory compliance. Mentor developers, oversee technical delivery, troubleshoot complex issues, and lead migration and modernization of on-premises applications to AWS.

Lead refactoring and optimization of scalable data pipelines, design next-generation distributed storage and processing systems, build clean interfaces for diverse data consumers, mentor engineers, and establish engineering standards and processes.

Design, implement, and field-validate swarm autonomous behaviors from operational use cases through simulation, HIL, and live flight. Partner with mission engineers, UI/UX, QA, and core software teams to specify operator controls and APIs, define tests and CI/CD coverage, maintain behavior libraries, and support field demonstrations.

Design, implement, and field-validate autonomous swarm behaviors from operational use cases through simulation, hardware-in-the-loop, and live flights. Collaborate with mission engineers, UI/UX, QA, and partners to define operator interfaces and API surfaces, build test coverage integrated into CI/CD, and improve the core autonomy codebase to increase behavior development velocity. Support field exercises and customer demonstrations.

Lead development of spacecraft Guidance, Navigation, and Control systems through full lifecycle: requirements, design, simulation, algorithms, flight software, and verification. Develop simulation tools, drive reuse of heritage Airbus products, support subsystem requirements and integration, and optimize designs for cost, manufacturability, and testing. Collaborate cross-functionally across spacecraft, payload, and launch integration activities.

Design, develop, and optimize high-performance C++ systems for ultra-low-latency media streaming. Build and improve streaming pipelines (WebRTC, GStreamer, RTP/RTCP), analyze performance across server, network, and media pipelines, and collaborate with encoding, cloud networking, and systems teams to define KPIs and reduce latency for cloud gaming and related use cases.

Design, develop, and test real-time embedded firmware in C/C++ for battery management systems (cell balancing, charging, thermal management, contactor control). Integrate supplier subsystems, perform hardware bring-up and debugging, create requirements/design/test documentation, and collaborate with cross-functional vehicle, controls, and validation teams through the software development lifecycle.

Develop and maintain embedded firmware and kernel/user-mode device drivers for Ethernet-based networking devices. Design, implement, test, and integrate drivers into a Linux and AUTOSAR communication stack, build SDK components, and create debug/test utilities and automated unit/system tests for safety-critical automotive applications.

Design, build, scale, and operate a Kafka-compatible, object-storage-backed streaming platform. Own backend services, storage engine, multi-tenant control plane, transactions and multi-region features. Troubleshoot complex distributed systems, ensure operational readiness and SLAs, participate in on-call rotation, and contribute across the full stack including developer console UI.

Design and validate Ethernet networking fabrics for AI/HPC clusters; mentor customers; build demos/POCs; create reference architectures and training; collaborate with engineering, product, and sales to secure design wins and drive product feature development.

Own design, implementation, and production support of Windows kernel-mode enforcement drivers (filesystem, process/thread, handles, registry) and the kernel/user-mode enforcement boundary. Reduce enforcement latency at scale, extend enforcement to containers and isolation, ensure compatibility across Windows builds, handle driver signing and deployment, collaborate cross-platform on policy and the Rust userspace agent, and mentor engineers while driving technical direction and operational stability.

Design and develop software for automated laboratory workflows, build data pipelines, implement machine learning models, and integrate various systems to enhance biotherapeutics discovery.