Top Remote C++ Jobs in San Diego, CA

Deploy and integrate Hivemind autonomy software with maritime platforms worldwide. Support customer deployments, software development, on-water testing, training, demonstrations, debugging, documentation, and maritime system integrations involving controls, sensors, navigation, and communications. Collaborate with customers, sales, and product engineering teams to resolve integration issues and improve products.

Leads architecture and technical direction for scalable, high-availability software services. Owns complex, multi-team initiatives, makes autonomous technical decisions, partners cross-functionally, mentors engineers, establishes standards, and advocates for quality. The role develops mission-critical systems supporting millions of endpoints and requires deep Java expertise, scalable system design, API development, relational databases, and strong testing practices.

Lead DoD systems development programs using MBSE, SysML, Cameo, and digital engineering practices. Architect systems, guide teams through the systems engineering lifecycle, establish requirements traceability, customize and automate modeling tools, mentor engineers, and collaborate with software and domain experts. The role supports software-intensive, open-architecture systems across defense mission areas and requires an active Secret clearance with eligibility for Top Secret.

Drives performance engineering and scalability across software systems by identifying bottlenecks, optimizing code, queries, databases, and architecture, and implementing fixes. Builds performance frameworks, data-generation tools, benchmarks, and CI/CD automation using k6, JavaScript, Grafana, and InfluxDB. Establishes performance standards, investigates distributed systems and cloud environments, documents architectural decisions, and collaborates with engineering teams to improve throughput, latency, reliability, and efficiency.

Leads and grows a distributed software engineering team responsible for developing and maintaining NinjaOne SaaS products. Provides technical direction, participates in architecture, code reviews, integrations, and deployments, and partners with product, platform, and project management teams. Oversees engineering operations, team mentoring, software quality, continuous improvement, and successful product delivery across UI, mobile, server, and agent systems.

A 12-week unpaid fellowship providing hands-on training in Palantir Foundry and AIP. Participants attend live virtual instruction, complete technical projects, engage with Palantir engineers and leadership, and earn a professional certification. The program seeks builders with technical experience in software, data, automation, process improvement, prototyping, or related fields. Exceptional performers may interview for roles at Palantir or partner companies.

Design and implement C++ features for MongoDB’s replication infrastructure, improving availability, recovery, consistency, performance, and fault tolerance. Diagnose distributed-systems issues, develop comprehensive tests, collaborate across engineering teams, participate in design and code reviews, and mentor junior engineers. The role involves owning technical work from investigation through delivery and contributing to major MongoDB releases.

Develop and maintain MongoDB server workload resilience infrastructure in C++ or Rust. Design workload policies for rate limiting, prioritization, overload mitigation, availability, and performance. Write unit and integration tests, investigate failures, improve observability, diagnose and fix complex distributed-system issues, and lead technical projects. Collaborate across engineering teams, mentor junior engineers, participate in hiring, and improve operational readiness, monitoring, incident management, and rollout processes.

Leads the technical vision, architecture, and development of Guidance, Navigation, Control, and State Estimation capabilities for autonomous aircraft. Builds and mentors a specialist engineering team, develops production autopilot and flight-control software, establishes reusable GNC platforms, and drives simulation, hardware-in-the-loop, and flight testing. Partners on Runtime Assurance, safety, airworthiness evidence, customer integrations, and cross-organization technical roadmaps.

Deploy production software alongside military operators in restricted and air-gapped environments. Integrate core and simulation platforms with partner C2 systems and databases, write scripts, transform schemas, debug distributed systems, analyze logs, isolate failures, and convert recurring field workarounds into reusable product capabilities. Brief engineers and senior military stakeholders while translating mission needs into technical solutions.

Leads architecture and development of scalable, high-availability software systems supporting millions of endpoints. Owns complex multi-team initiatives, makes technical decisions, mentors engineers, establishes engineering standards, and improves software quality. Requires deep Java development, distributed systems, API design, database engineering, system scalability, testing, and AI-assisted development experience.

Research and analyze vehicle network signals, OEM telematics data, wiring diagrams, and field logs to expand vehicle telemetry coverage. Capture and interpret vehicle network data using live debugging, log analysis, scraping, reverse engineering, and custom scripts. Validate solutions on vehicles and at customer locations, document findings, and collaborate with global engineering and product teams to support new telematics capabilities.

Verify safety-critical flight software for automated aircraft, including developing DO-178C-compliant verification strategies, test tooling, requirements-based unit and hardware-in-the-loop testing, flight-test planning, and DO-330 tool qualification. The role collaborates across embedded, avionics, control, hardware, and aircraft teams while supporting software certification and testing both in laboratory environments and on aircraft.

Own the reliability, performance, architecture, and lifecycle of heterogeneous database platforms. Design and operate relational, NoSQL, caching, time-series, and warehouse systems; improve provisioning, developer tooling, CI/CD, backups, disaster recovery, security, and performance. Influence architecture and product decisions, lead migrations and upgrades, troubleshoot developer and production environments, and establish platform standards, documentation, and regulatory traceability.

Engineer, design, administer, and troubleshoot enterprise unified communications and Microsoft 365 infrastructure, with a primary focus on Microsoft Teams. Responsibilities include Teams governance, voice and meeting policies, hybrid integrations, OneDrive administration, monitoring, patching, vulnerability remediation, documentation, video streaming support, and third-party platform integration. The role also provides user training, technical support, and collaboration with networking, infrastructure, and vendor teams in a federal environment.

Lead technical ownership of InfiniBand and GPU interconnect fabric operations for hyperscale AI supercomputers. Drive incident response, deep multi-layer debugging across hardware/firmware/drivers/OS, and define failure models, playbooks, telemetry, and automation to improve reliability, observability, and scalability of GPU clusters and platform SLAs.

Develop production-grade integrations for NVIDIA Grove across AI frameworks including Dynamo, llm-d, Ray, and PyTorch. Build adapters, plugins, operators, runtime components, reference workflows, and developer tooling. Optimize distributed multi-node and multi-GPU training and inference, improve Kubernetes observability, define APIs, and troubleshoot containers, networking, scheduling, CUDA, and framework behavior. Collaborate with engineering teams and open-source communities to upstream maintainable changes and ensure compatibility across rapidly evolving dependencies.

Owns the design, development, testing, and optimization of safety-critical vehicle firmware on resource-constrained platforms. Responsibilities include RTOS applications, communication architectures, bootloaders, device drivers, board and SoC bring-up, automated testing, debugging, and production deployment. The role leads cross-functional projects, mentors engineers, conducts code reviews, and establishes embedded engineering standards for reliable autonomous transit vehicles.

Design and build scalable operator services for provisioning, repairing, and managing bare-metal GPU servers. Develop secure, tested automation spanning firmware, PXE imaging, DPU provisioning, and network configuration. Own architecture, telemetry, monitoring, incident response, and root-cause remediation for globally operated GPU fleets. Mentor engineers and improve concurrency safety, distributed systems reliability, and zero-touch deployment capabilities.

Develop and operate software for Azure’s hyperscale networking infrastructure and SONiC switch and router platforms. Responsibilities include designing, coding, optimizing, debugging, and maintaining network software; supporting packet forwarding, telemetry, observability, reliability, and performance; creating design and release plans; responding to incidents; and mentoring engineers. The role requires expertise in software engineering, IP networking, distributed systems, Linux, SDN technologies, and container-based environments.

Designs and delivers secure, production-ready cloud and AI systems from discovery through deployment. Partners with customers, product teams, data scientists, and domain experts to define requirements, architect solutions, implement software, and improve reliability through testing, automation, observability, and CI/CD. Provides technical leadership, mentors engineers, creates reusable frameworks, manages ambiguity, and drives measurable customer outcomes.

Principal Engineer responsible for defining technical vision, designing and delivering large-scale distributed systems, writing production code, and guiding major architectural decisions. The role establishes engineering standards, develops reusable systems, mentors senior engineers, supports roadmap and resource planning, and contributes to technical hiring. Key work includes cloud infrastructure, data architecture, AI/ML and LLM systems, monolith-to-microservices migrations, scalability, reliability, security, performance, and observability.

Develop chromatography data-processing algorithms for cloud-based Empower data systems and collaboration software. Responsibilities include implementing peak integration, calibration, and quantitation algorithms; migrating legacy C++ to .NET Core/C#; applying numerical methods and AI/ML; optimizing performance through parallelism; writing unit tests; refining requirements with stakeholders; and preparing technical reports, patents, and project updates.

Owns end-to-end architecture and implementation of high-performance communication and memory-management libraries for distributed AI. The role drives GPU, DPU, NIC, and switch hardware-software co-optimization; profiles data movement across memory, storage, and networks; integrates networking into AI serving frameworks; contributes to open source; mentors engineers; leads design reviews; and prototypes emerging technologies.

Design, implement, test, and modernize backend services and integrations (TypeScript/Node.js and C++). Lead large projects, write technical specifications and API contracts, enforce coding standards, coach engineers, and drive legacy-to-modern migrations within online banking and core systems.