Top Remote C++ Jobs in San Diego, CA

Design and build distributed storage systems optimized for AI and machine learning workloads at hyperscale. Lead architecture, development, testing, deployment, scalability, performance, security, and efficiency initiatives for zettabyte-scale Azure storage. Collaborate with AI researchers and cloud infrastructure teams, mentor engineers, evaluate emerging technologies, and solve complex problems involving availability, durability, replication, high-performance I/O, metadata, indexing, caching, and data placement.

Design and build performance-focused TV UI architectures for Netflix’s streaming applications across smart TVs, game consoles, and cable boxes. Enable scalable development for engineering teams by improving developer experience, ergonomics, resource management, performance, memory usage, and technology integration. Responsibilities include systems-level architectural thinking, API design, profiling, collaboration with UI, design, platform, and tooling teams, and making thoughtful implementation trade-offs.

Lead Elasticsearch performance engineering from architecture through production. Develop performance models, optimize distributed systems, profile bottlenecks, build benchmarks, detect regressions, and improve scalability across stateful and serverless architectures. Design AI-assisted optimization and benchmarking tools, collaborate across teams, define performance strategies, and mentor engineers. The role requires deep Java, JVM, concurrency, distributed systems, and search or data-store performance expertise.

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.

Lead technical strategy and architecture for Azure Storage geo-replication, data protection, failover orchestration, and business continuity. Drive cross-team delivery, operational excellence, telemetry, automation, AI-assisted operations, and represent the team in executive and customer engagements.

Define technical visions and architecture for products, platforms, and enterprise systems. Evaluate emerging technologies, lead proofs of concept, and design scalable cloud-native, distributed, and hybrid solutions. Establish engineering standards, assess technical risks, conduct architecture reviews, and guide modernization initiatives. Collaborate with customers and stakeholders, support engineering teams through complex decisions, mentor technical leaders, and contribute to product roadmaps, DevOps practices, and technology strategy.

Develop and improve NVIDIA's proprietary GPU compiler backend in C++. Design and implement compiler passes and optimizations, collaborate with hardware and application teams, and support graphics and compute toolchains for high-performance GPU instruction generation.

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.

Build and own robot autonomy systems spanning task, behavior, path, and trajectory planning. Design long-horizon behavior architectures with recovery and operator handoff, coordinate multiple robots, integrate LLM/VLM reasoning safely, and define interfaces between learned policies and classical planners. Evaluate performance through simulation, log replay, regression testing, and real-robot field operation while collaborating across perception, controls, simulation, and platform teams.

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.

Lead the architecture, development, and operation of Airbnb’s global Payments Compliance systems. Set technical direction for compliance experiences, regulatory screening, information collection, and continuous auditing. Collaborate with Product, Design, Policy, Operations, and engineering teams to deliver scalable, configurable, auditable, highly available solutions. Mentor engineers, lead project teams, improve engineering processes, and ensure compliance systems adapt to evolving global regulations.

Lead development of the production toolchain that compiles complex Python packages (e.g., NumPy, SciPy, PyTorch). Build and maintain build/release pipelines, create and review conda recipes, automate processes, mentor engineers, run incident response and postmortems, and advise leadership on technical tradeoffs. Partner with distribution and wheels teams and validate AI-assisted code where used.

Design, build, and scale embedded connectivity and security for distributed energy devices. Implement networking (Ethernet/Wi‑Fi/Thread/Zigbee/BLE), secure provisioning, OTA firmware pipelines, telemetry, and diagnostics. Support testing, certification, manufacturing validation, and cross-functional collaboration from prototype to deployment.

Develop and maintain GPU performance foundation libraries and test frameworks for Nsight tools. Implement GPU assembly tests, use emulators/simulators to validate instruction events, and document data workflows. Collaborate with hardware architecture teams to enable performance analysis and optimization of GPU-accelerated applications.

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.

Lead technical direction for a cloud game: define architecture, hire and mentor engineering teams, oversee prototype-to-live ops execution, integrate Netflix cloud-gaming platform, manage external partners, perform deep engine-layer debugging and performance optimization, and continuously refine processes and pipelines.

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 and deliver customer-specific solutions on the Digimarc Illuminate platform: configure accounts, build integrations and web add-ons (Node/JavaScript), script data imports/exports, create demos/POCs, provide 2nd/3rd-level support, and collaborate with product, engineering, and customers to ensure successful deployments.

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.

Leads mission formulation and architecture for international space opportunities. Develops mission concepts, performs mission-level analyses, owns top-level budgets, defines requirements, evaluates spacecraft and constellation configurations, and guides engineering teams through design trade studies. Collaborates with customers, scientists, and engineering disciplines to create practical, cost-effective satellite missions. Requires regular international travel and occasional travel to the Mountain View facility.

Lead the post-quantum cryptography roadmap, design secure cryptographic primitives, and implement cryptographic solutions to ensure resilience against quantum threats for blockchain networks.

Develop and maintain PX4 autopilot firmware for UAVs, integrating sensors and payloads, and managing testing environments. Collaborate on flight operations and system integration.

Lead development and qualification of production PIC test capability, own tester qualification, drive test efficiency/capacity improvements, execute engineering change notices, participate in quality review boards, and collaborate with PIC design, fab, and module teams at the South San Francisco facility.

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.