Top Remote C++ Jobs in San Diego, CA

Design and implement a distributed query optimization system for MongoDB. Research query systems, architect features, write and review production-quality C++ code, debug large codebases, coordinate cross-team integrations, and mentor engineers while shaping long-term roadmap and performance improvements.

Design and build data infrastructure automation, observability, health tooling, dashboards, and system improvements for large-scale object storage platforms. Lead technical designs and feature rollouts across services, improve fleet stability and throughput, automate hardware lifecycle processes, and partner with on-call teams to reduce operational toil and incidents.

Design and build intelligent compiler systems, compiler-oriented agents, code transformation workflows, and numerical verification infrastructure. Develop systems for low-level IR reasoning, code generation, optimization, GPU performance, differential testing, regression detection, and correctness validation. Collaborate across compiler, CUDA, runtime, library, model, and hardware teams to integrate agentic and verification capabilities into production NVIDIA tools and products.

Leads a distributed engineering team while contributing hands-on to Azure software development, observability services, cloud architecture, and production reliability. Responsibilities include technical direction, coding, design reviews, customer engagements, incident response, on-call operations, reusable engineering assets, cross-team initiatives, and people development. The role translates customer needs into Azure platform improvements and balances delivery, engineering strategy, service resilience, and talent development.

Develop and improve gameplay systems in C++, including character controls, abilities, enemy behaviors, interactive objects, platform features, trophies, and visual effects. Investigate and fix bugs while collaborating with experienced gameplay programmers. The internship provides mentorship and hands-on experience with game development workflows and technical problem-solving.

Design, build, deploy, and operate large-scale, highly available distributed systems for Twilio SendGrid. Improve scalability and security, implement reliable components, add monitoring, automate processes, and collaborate with product and engineering to deliver customer-focused features.

Build and maintain high-performance, resilient SDKs across multiple programming languages and platforms. Develop features, improve reliability, collaborate with engineering and product teams, maintain open-source repositories, and influence technical and product decisions. The role requires strong software engineering fundamentals, polyglot development ability, library-building experience, production-quality coding, and expertise in unit, integration, load testing, and benchmarking.

Leads architecture, hands-on software development, deployment, and production issue resolution for strategic customer projects. Drives AI innovation, platform resiliency, security, observability, performance, and operational improvements. Partners with executives, engineering, product, and customer success teams to prioritize strategic programs, improve customer value, share technical best practices, and remove production blockers.

Provides principal-level technical leadership for scalable learning and skilling platforms. Designs architectures, writes and reviews production software, leads full software lifecycles, and applies Azure, AI, Copilot, Power Platform, and custom solutions. Responsibilities include secure integrations, CI/CD, infrastructure as code, testing, observability, production support, Responsible AI, reusable components, cross-team technical alignment, and engineering mentorship.

Lead domain architecture for Blue Yonder/JDA solutions, translating business needs into technical roadmaps, high-level designs, integrations, and standards. Collaborate with stakeholders, enterprise architecture, partners, and development teams to ensure secure, scalable, and compliant implementations across the domain.

Develop and optimize the open-source Triton compiler for high-performance AI workloads on NVIDIA GPUs. Design compiler technology using MLIR, generate efficient low-level GPU code, tune kernels with inline PTX, analyze hardware architectures, and optimize advanced AI algorithms and numerics. Collaborate with hardware architects and CUDA compiler teams while applying parallel programming, computer architecture, assembly, and performance debugging expertise.

Design, build, and operate backend services supporting external penetration testing, including Python APIs, workflow orchestration, ETL pipelines, AWS data lakes, GraphQL and graph APIs, Kubernetes infrastructure, and observability systems. Own service performance, scalability, uptime, deployment, and production operations while collaborating with product, design, and frontend teams. Contribute to architecture, technical documentation, platform stability, and user-facing launches.

Provide technical leadership for site reliability engineering, applying software engineering practices to large-scale operations. Design automated, repeatable operational solutions; monitor service objectives, application performance, and business metrics; improve resiliency, efficiency, and cost. Support cloud and on-premise infrastructure, production applications, deployment automation, testing, and vulnerability response. Partner with software development, security, and business teams while promoting Agile practices, change management, training, and operational health.

Develop and evaluate coding tasks for AI systems, including bug fixes, feature development, refactoring, optimization, reproducible environments, reference solutions, automated testing, and deterministic evaluation. The role also involves debugging complex codebases, reviewing contributions, documenting technical decisions, and refining evaluation criteria. Candidates should have strong software engineering fundamentals, backend or API development experience, open-source contributions, and proficiency in at least one listed programming language.

Develop coding tasks and reference solutions for evaluating AI systems. Build deterministic verifiers, test suites, scalable backend services, and APIs. Debug complex defects, assess code quality, refactor legacy implementations, optimize performance, and evaluate AI-generated technical reasoning. Document requirements and verification criteria while independently applying software engineering judgment across algorithms, system design, testing, and reliability.

Evaluates AI-generated software for correctness, quality, efficiency, security, and maintainability. Designs programming challenges, reference solutions, test cases, and evaluation criteria. Reviews technical reasoning related to debugging, architecture, and system design, then provides structured feedback and documentation. The role requires strong programming fundamentals, software testing and code review experience, analytical problem-solving ability, and clear technical communication.

Provides technical leadership for Azure SQL databases supporting a highly available Azure service. Responsibilities include database performance tuning, reliability and capacity planning, schema changes, data migrations, observability, incident response, root cause analysis, operational automation, and technical strategy. The role partners with software engineers, SREs, and architects to improve scalability, durability, cost efficiency, and long-term service reliability across teams.

Lead architecture and roadmap for Azure PostgreSQL systems; design and review scalable, maintainable database engine features (query processing, storage, transaction logging, recovery, versioning, IO, scale-out). Influence coding standards and run code reviews, write proof-of-concept or production code, contribute to open-source PostgreSQL/Linux, and participate in rotational on-call operations.

Build and maintain low-latency connectivity APIs and integrations with crypto exchanges, OTC desks, brokers, and other trading venues. Develop order routing, trade execution, and real-time data ingestion systems using REST, WebSocket, and FIX. Monitor connections and data pipelines, improve reliability and observability with Grafana and Prometheus, collaborate on exchange onboarding, and create automated tests for production readiness.

Leads architects and defines enterprise architecture strategy across consumer banking platforms. Provides technical direction, mentorship, and oversight; aligns technology solutions with business objectives; presents to architecture boards and executives; and drives product, solution, modernization, cloud, integration, resilience, and investment strategies across the organization.

Lead development of AI infrastructure for large-scale GPU training and inference. Design workload scheduling, serving, orchestration, resource governance, failover, and multitenant Kubernetes platforms. Build reliable C# and Go services, optimize GPU fleet performance, and drive observability, diagnostics, and production operations. Provide technical leadership, architectural direction, mentoring, and cross-team collaboration across cloud infrastructure, hardware, networking, and AI deployment teams.

Leads the technical vision, architecture, and execution of AI performance, framework, benchmarking, and developer-productivity initiatives. Drives cross-team architecture, resolves complex systems trade-offs, mentors technical leaders, and contributes hands-on through prototyping, implementation, reviews, debugging, observability, and automation. Delivers measurable improvements in model onboarding speed, runtime performance, reliability, hardware utilization, and Azure capacity efficiency across models, frameworks, compilers, runtimes, systems, services, and hardware.

Build and optimize distributed Lance dataset operations, high-performance indices, table formats, and data encodings in Rust. Develop integrations with Spark, Hive Metastore, Presto, Trino, Ray, and other data infrastructure systems. Improve internal data processing infrastructure, contribute to open-source communities, and promote Lance through technical conferences. The role requires deep distributed systems expertise and extensive experience with high-performance databases, big data, or AI training systems.

Develops wafer-test infrastructure and design-verification experiments for photonic and electronic integrated circuits. Responsibilities include characterizing devices, automating wafer and chip test stations, integrating commercial hardware, analyzing measurement data, collaborating with design teams, and creating custom hardware with CAD and rapid prototyping to support manufacturing.

Develop and optimize NVIDIA’s proprietary C++ GPU compiler backend. Responsibilities include designing compiler passes, improving code generation and machine instruction performance, supporting GPU architectures, and collaborating with compiler, hardware, and application teams. The role requires strong C++ and compiler code-generation expertise, with preferred experience in LLVM, instruction scheduling, register allocation, CUDA, DirectX, OpenGL, and Vulkan.