Top C++ Jobs in San Diego, CA

Designs and analyzes interplanetary spacecraft trajectories and maneuvers for NASA and commercial missions. Responsibilities include high- and low-thrust optimization, trade studies, Monte Carlo analysis, operational maneuver planning, navigation tool development, visualization, technical reporting, and stakeholder coordination. The engineer supports missions in development and flight operations while collaborating with spacecraft, science, and mission teams.

Develops and validates ground-based and onboard optical navigation systems for lunar and interplanetary missions. Responsibilities include camera calibration, image processing, observation planning, terrain and shape modeling, simulation, flight software development, system verification, technical analysis, and mission partner coordination. The engineer also documents results, troubleshoots technical issues, manages configuration-controlled software, supports project planning, and provides operational support for deep-space missions.

Performs orbit determination, trajectory reconstruction, covariance analysis, tracking-data assessment, and navigation-product development for spacecraft missions. Configures estimation runs, evaluates residuals and solution behavior, maintains analysis scripts and workflows, troubleshoots issues, and prepares technical reports. Level III engineers lead complex analyses, improve methods and software reliability, guide engineers, coordinate mission teams and customers, and manage project priorities, schedules, and budgets.

Supports orbit determination solutions, trajectory reconstruction, covariance analysis, tracking-data assessment, navigation products, and spacecraft maneuver planning. The role includes configuring estimation runs, reviewing residuals, checking coordinate and time-system accuracy, maintaining Python scripts and workflows, troubleshooting analyses, documenting results, and communicating findings to mission teams. Level II engineers independently execute routine analyses and support deep-space navigation operations. A bachelor’s degree, U.S. citizenship, Python knowledge, and foundational astrodynamics or estimation expertise are required.

Builds, integrates, and delivers secure software capabilities for regulated government and DoD environments. Responsibilities include software architecture and development, Agile delivery, Git workflows, automated testing, Kubernetes or cloud deployment, DevSecOps security gates, resilient DDIL and afloat/ashore PaaS architectures, and secure Cross-Domain Solutions integration.

Define technical direction for hyperscale Azure Storage components; architect, develop, test, and support highly scalable, secure, compliant, and highly available cloud services. Lead multiple engineering projects, improve reliability, scalability, performance, consistency, and observability, and apply AIOps for incident detection, root-cause analysis, and operational excellence.

Lead design and implementation of large-scale Pub/Sub and messaging services within Azure Event Grid/Microsoft Fabric. Define scalable, reliable architectures, drive testing and CI/CD automation, build developer tooling, mentor engineers, manage incident response and operational excellence, and collaborate with PMs, EMs, researchers, and customers to deliver production-ready cloud services.

Lead architecture and hands-on development for Microsoft's virtualization platform, focusing on hypervisor and VMM capabilities. Design, implement, and optimize systems software across Windows, Linux, macOS, Azure, and containers. Improve performance, security, reliability, testing, and operational readiness; diagnose low-level hardware/software issues; enable virtualization on new silicon; mentor engineers; and influence platform strategy across teams and hardware partners.

Designs and optimizes FUSE-based file systems, Linux kernel and user-space integrations, distributed and object storage infrastructure, and high-performance networking using RDMA. The role develops systems tooling in C and C++, diagnoses performance bottlenecks across storage, networking, memory, and I/O layers, and builds scalable infrastructure for AI, HPC, and data-intensive production environments.

Leads hands-on design, development, and optimization of AI data movement and distributed storage systems. Responsibilities include integrating NVIDIA NIXL and DDN Infinia with GPU inference platforms, optimizing GPU-to-storage I/O using GPUDirect Storage, RDMA, and NVMe-over-Fabrics, developing KV cache and multi-tier storage strategies, benchmarking production systems, resolving performance bottlenecks, influencing distributed inference architecture, and mentoring engineers.

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, implement, and maintain core systems for thatgamecompany’s custom game engine. Collaborate with artists, designers, and engineers to gather requirements, deliver features, and iterate on solutions. Monitor, diagnose, and troubleshoot technical issues and inefficiencies across complex codebases to improve development effectiveness. Potential focus areas include CPU/GPU performance, cross-platform support, netcode, multithreading, audio, and rendering.

Build and operate multi-cloud infrastructure for MariaDB Cloud, designing application layers, APIs, cloud-native services, automation, and database-adjacent features. Own production capabilities end to end across AWS, Azure, and GCP using Terraform, Kubernetes, Docker, CI/CD, Python, and backend languages. Develop AI-enabled workflows involving vector databases, semantic search, RAG, and LLM agents while ensuring security, observability, scalability, and reliable deployment.

Build realistic backend coding challenges, feature implementations, bug fixes, and deterministic verifiers for AI training projects. Evaluate code correctness, reliability, maintainability, and performance while incorporating automated testing, validation criteria, edge-case analysis, and secure coding practices. Work independently on scalable backend systems and APIs, refine tasks based on requirements, and document technical solutions clearly.

Design, implement, debug, and ship features for Azure Storage front end at cloud scale. Drive design, dependency identification, automation, reliability, observability, and on-call incident response while collaborating with stakeholders and mentoring engineers.

Design and build JTX, a high-performance Solana trading application. Develop low-latency, reliable systems for order routing, execution, real-time market data, and position management. Own critical infrastructure, implement security across transaction signing and user data, make architectural decisions, and collaborate with product and infrastructure teams in a fast-moving 0-to-1 environment.

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 scalable Kubernetes-based Azure Arc platform capabilities for hybrid cloud, datacenter, and edge environments. Develop and operate KubeVirt and KVM virtualization platforms, create distributed systems and RESTful services, and contribute to design, coding, estimation, monitoring, reliability, observability, and on-call operations. Collaborate with Microsoft partner teams and the open-source community to deliver cloud-native infrastructure at scale.

Design and develop foundational PostgreSQL and DocumentDB engine features for large-scale document workloads. Responsibilities include database indexing, query engine extensions, BSON-aware operators, index pruning, distributed-system performance analysis, and storage-layer optimization. Collaborate with open-source PostgreSQL, MongoDB, and DocumentDB communities, contribute to roadmap planning, and participate in design and code reviews.

Develop and optimize Firefox performance across Windows, Android, Linux, and macOS. Write code, tests, prototypes, and performance tooling; profile and resolve bottlenecks; improve benchmarks; and collaborate with engineering teams. The role also involves setting performance strategy, educating engineers, driving cross-functional goals, and contributing to Firefox’s open-source development.

Join Azure PostgreSQL to design, implement, and test features in a relational database engine (query processing, logging, storage, IO, scale-out). Collaborate with stakeholders, write maintainable code, define test plans, operate live services (on-call), and contribute to open-source PostgreSQL and Linux.

Support environmental and laboratory testing of sensor systems: create qualification test procedures/reports to MIL-STD/RTCA standards, perform test setups, develop/maintain automated test software (LabVIEW/Python), integrate lab equipment, coordinate with program managers, customers, and cross-functional teams, and occasionally travel to external test labs.

Design, build, test, deploy, and operate scalable, secure Azure networking software and automation tools. Act as DRI, monitor production, troubleshoot incidents, run root-cause analysis, and drive reliability, performance, and cost improvements. Collaborate with PMs and architects, participate in design/code reviews, mentor engineers, and champion security, privacy, and compliance.

Designs and delivers scalable, resilient, cloud-native infrastructure services for Azure Virtual Machine Scale Sets. Responsibilities include gathering requirements, creating design documents, writing maintainable code, estimating work, monitoring services, responding to incidents, and improving availability, reliability, observability, efficiency, and performance at hyperscale.

Design, develop, and operate highly scalable and resilient Azure VM Scale Set cloud services. Own features from architecture through deployment and operations, solve distributed-systems challenges at hyperscale, and drive reliability, security, performance, disaster recovery, testing, monitoring, automation, and engineering best practices. Collaborate across teams to deliver platform capabilities and customer outcomes.