Top Remote C++ Jobs in San Diego, CA

Develop and maintain calibration, automation, and tooling software for quantum processors. Design and implement front-end and back-end systems, APIs, and databases; troubleshoot performance issues; collaborate with scientists and engineers; and mentor junior engineers.

Design, develop, optimize, and debug ultra low-latency C++ streaming systems and media pipelines (WebRTC, GStreamer, RTP). Analyze performance across CPU, memory, networking, and scheduling. Integrate streaming software with platform services across Windows, Linux, QNX, and embedded platforms. Define KPIs for networking and streaming quality and troubleshoot across software, OS, platform, and hardware boundaries.

Design, implement, and operate cloud-scale telemetry platforms and data pipelines for Azure Monitor. Lead cross-team architecture, mentor engineers, improve AI-enabled development practices, ensure security/compliance, and resolve complex production incidents.

Lead design and implementation of embedded application software for diagnostic platforms. Provide technical leadership across architecture, coding, testing, integration, debugging, and release readiness in Linux and real-time environments. Collaborate cross-functionally, drive process improvements, ensure regulatory quality compliance, and support system-level integration and defect resolution.

As a Senior Software Architect for AI Networking, you'll design and implement AI networking technologies, optimize data processing in AI systems, and collaborate on cutting-edge solutions.

Design, develop, and operate monitoring and observability solutions for flagship supercomputers. Build data pipelines to process large telemetry and logs, respond to incidents, implement mitigations, write postmortems, and improve reliability, performance, and operational runbooks at scale.

Design and implement PostgreSQL internals, indexing, query engine extensions, and storage-layer features to support large-scale document workloads on Azure. Profile distributed systems, tune performance, collaborate with open-source communities, conduct design/code reviews, and drive cross-team alignment for mission-critical database features.

Own and evolve Voltus’s infrastructure platform, including Kubernetes and Nomad workloads, AWS architecture, identity and secrets, stateful systems, observability, infrastructure as code, CI/CD, and developer tooling. Lead business-critical migrations with minimal downtime, establish reliable deployment and rollback practices, mentor engineers, participate in on-call, and build secure infrastructure supporting AI-assisted development.

Design and implement PostgreSQL internals and indexing strategies for large-scale document workloads. Extend query engine with BSON-aware operators and custom scan nodes, optimize index pruning, profile distributed system performance, collaborate with open-source communities, and lead design/code reviews.

Provides technical leadership for site reliability and operational development. Designs automated, repeatable cloud and infrastructure solutions; monitors service objectives and business metrics; improves application resiliency, performance, efficiency, and cost. Builds monitoring, deployment, testing, and vulnerability-response automation while supporting mission-critical production systems. Collaborates with software, security, product, and business teams, conducts technical training and resilience exercises, and promotes sound development, change-management, and operational practices.

Own operations and reliability for hyperscale Azure GPU clusters and interconnect fabrics. Lead production incident triage, mitigation, recovery, root-cause analysis, and cross-stack debugging across hardware, GPUs, PCIe, firmware, drivers, and software. Develop automation, telemetry, diagnostics, playbooks, and escalation frameworks to improve observability, operational readiness, and mean time to mitigation for large-scale AI and HPC workloads.

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.

Design and develop software to onboard hardware accelerators and improve cluster performance for Azure Storage. Collaborate across teams, produce design documents, write and optimize code, own on-call duties, monitor and restore services, and drive reliability, observability, and scalability across the storage software lifecycle.

Design, develop, and maintain scalable AI-forward APIs, MCPs, and services for Microsoft 365. Lead features from concept through launch, write reusable code, document designs, estimate work, and support production services through on-call responsibilities. Improve reliability, performance, and scalability while mentoring engineers and establishing technical best practices across teams.

Design, build, and maintain scalable infrastructure and CI/CD pipelines for TensorRT Edge-LLM across embedded and desktop GPU/CPU platforms. Configure and operate tools (CMake, GitLab, GitHub Actions, Kubernetes, Docker), monitor systems, automate builds/tests, address security CVEs, and collaborate with autonomy and external partners to improve development velocity and reliability.

Lead a cross-discipline engineering team to deliver production-ready, AI-enabled solutions across the full lifecycle. Coach engineers and data scientists, manage a portfolio of engagements, act as player‑coach on select projects, strengthen multidisciplinary practices, and champion responsible, hypervelocity AI engineering and reusable accelerators.

Provide technical leadership and architectural direction for complex robotics software supporting autonomous platforms. Design fault-tolerant systems for vehicle control, motion planning, localization, perception, controls, and fleet management. Collaborate across robotics, hardware, machine learning, perception, systems engineering, and product teams; establish software standards, testing, deployment, and validation practices; debug hardware-software integrations; and mentor engineers. The role focuses on reliable, safety-critical production software for autonomous agricultural and heavy machinery.

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 design and implementation of Azure full‑stack, scalable skilling platform features. Drive CI/CD, reliability, automation, and AI/LLM-enabled capabilities. Mentor engineers, enforce engineering best practices, coordinate cross-team dependencies, and improve test automation and observability for enterprise-scale services.

Design and build the Command & Control frontend and full-stack features for large heterogeneous UAV swarms. Develop distributed, real-time infrastructure tolerant of intermittent communications, implement UI concepts for telemetry, sensors, scheduling and data links, own features end-to-end, and maintain strong CI/CD, QA, and DevSecOps practices.

Design, develop, and maintain embedded firmware and Linux hardware interface services for ARM devices. Implement drivers, security communication protocols, and system services in Python and Go. Own code quality, documentation, testing, CI/CD, and support manufacturing, QA, and customer-facing issue resolution while collaborating cross-functionally.

Develop and implement embedded device and system software, analyze system efficiency and stability, optimize I/O performance, support software quality assurance, and code, test, and troubleshoot low-level software. The internship provides hands-on engineering experience, mentorship, and professional development. Candidates must be pursuing a relevant engineering or computer science degree and remain enrolled after the internship.

Develop and implement embedded software and systems, analyze system efficiency and stability, optimize I/O performance, and support software quality assurance. Responsibilities include coding, testing, troubleshooting, and monitoring embedded system software while working closely with hardware. The internship provides hands-on engineering experience, mentorship, professional development, relocation benefits, and short-term housing eligibility.

Develop and implement embedded software and systems, analyze system efficiency and stability, optimize I/O performance, support software quality assurance, and code, test, and troubleshoot system software. The internship requires hardware understanding and offers hands-on technical experience, mentorship, relocation benefits, and short-term housing for eligible interns.

Develop and improve embedded graphics and compute drivers, customize products for embedded hardware and real-time operating systems, and profile and optimize drivers and applications. Write and review technical specifications while collaborating on reliable, high-quality safety-critical solutions. The role requires embedded software development, debugging, troubleshooting, and familiarity with graphics APIs, ARINC 653, and safety-critical development practices.