Top Senior C++ Jobs in San Diego, CA

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, differential testing, regression detection, and correctness validation across GPU-centric workloads. Collaborate with compiler, CUDA, runtime, library, and hardware teams to integrate capabilities into NVIDIA products while optimizing performance, scalability, and numerical correctness.

Lead the DevOps team’s technical vision and roadmap for WWE 2K. Design and improve CI/CD pipelines, infrastructure, deployment automation, developer tooling, and environments across Windows and Linux. Ensure reliability, scalability, observability, and performance while establishing deployment and operational standards. Collaborate across studios and disciplines, improve workflows and documentation, and provide technical leadership in a distributed, multi-team game development environment.

Own end-to-end software integration across firmware, BSP, drivers, GPU software, services, and release systems. Lead system-level debugging of boot failures, crashes, resets, power transitions, performance regressions, and update issues. Analyze logs, traces, crash dumps, and hardware diagnostics to identify root causes, automate failure classification, integrate partner software, and coordinate cross-functional resolution across firmware, kernel, hardware, architecture, and OS teams.

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 tools, desktop applications, DCC integrations, and real-time workflow systems for Lightspeed Studios. Partner with artists and engineers to improve content pipelines, usability, reliability, performance, and automation. Build Python and Qt/PySide solutions, integrate applications such as Maya and Houdini with Unreal Engine, and explore agentic AI for content creation. The role requires extensive tools or pipeline engineering experience in games, VFX, animation, or real-time production.

Build and maintain backend computation engines for solar and electrical design. Develop simulation and optimization systems for PV and battery storage layouts, component selection, and electrical configuration. Translate physical models into reliable, scalable software, shape computation infrastructure, write tested code, mentor teammates, collaborate cross-functionally, and own services through production and on-call support.

Lead and grow a compiler, kernel, and runtime engineering team responsible for accelerator bring-up across the Modular stack. Drive technical direction, architecture, coding, roadmap delivery, vendor partnerships, SOWs, milestones, cross-team dependencies, hiring, and production-quality model deployment across diverse hardware platforms.

Build and architect Alpaca’s high-performance algorithmic trading platform. Responsibilities include writing backend and frontend code, designing distributed and highly available systems, optimizing low-latency and high-throughput performance, and developing scalable databases, messaging systems, concurrency controls, and service-oriented architectures. The role also involves making critical platform decisions and potentially contributing to order and risk management, trading systems, observability, cloud infrastructure, and financial ledger capabilities.

Lead design and build of production-ready cloud and AI systems, prioritize security and reliability, ship solutions quickly using modern engineering practices, collaborate with cross-functional teams, mentor engineers, drive customer adoption, and deliver reusable assets and end-to-end complex deliveries.

Design, develop, and maintain high-quality cloud-based applications within an Agile team. Collaborate on architecture, product requirements, and software development; troubleshoot production issues; evaluate technologies; provide technical leadership; and optimize performance through memory management, parallelization, and algorithm efficiency. The role also involves building multitenant database architectures, implementing secure APIs and event-driven systems, writing unit tests, and debugging complex software issues.

As a Senior Software Engineer, you'll develop and build tools for creative projects while leading feature development and collaborating with teammates.

Design, implement, test, and optimize embedded software and firmware for camera platforms using Embedded Linux, RTOS, and bare-metal systems. Develop hardware abstraction layers, integrate drivers and peripherals, support board bring-up, and troubleshoot hardware and software issues. Collaborate with hardware, cloud, product, QA, production, and field teams on device-to-cloud connectivity, testing, requirements, and reliability. Document designs and support deployment and issue resolution.

Leads a 10–15-person embedded software engineering section while serving as a technical contributor on communications programs. Responsibilities include staffing, recruiting, training, performance management, career development, compensation coordination, conflict resolution, and software process improvement. Approximately 80% of the role supports embedded communications systems within Fighter Networked Systems and Advanced Communications, including real-time, multithreaded, secure software and engineering execution.

Lead development of guidance, navigation, and control (GNC) systems from concept to flight-ready software. Design and simulate algorithms, translate requirements into embedded implementations, support HIL and flight test, analyze test data, coordinate across vehicle design, avionics, structures and testing, and document results while mitigating technical risk.

Lead development of autonomy capabilities for space platforms including distributed optimization, tasking/scheduling, track fusion, RPO and motion planning. Build high-performance, well-tested software, integrate on real vehicles, support deployments and testing, and research/roadmap advanced autonomy techniques for defense applications.

Lead development of space autonomy capabilities including distributed optimization, tasking/scheduling, track fusion, rendezvous/RPO, and motion/behavior planning. Build high-performance, testable software, integrate and validate on real platforms, support deployments, and mentor engineers while contributing R&D and roadmaps.

Design, implement, and deploy autonomy capabilities for space platforms including distributed optimization, tasking/scheduling, track fusion, RPO, and motion/behavior planning. Build high-performance, well-tested software modules, collaborate across perception, planning, simulation, hardware, and flight test teams, support deployments and mission log analysis, and contribute R&D and roadmaps to advance autonomy for satellites and missile defense.

Build automated end-to-end tests, frameworks, harnesses, services, and infrastructure for autonomous aircraft software across SIL, HIL, and VIL environments. Automate release testing, orchestration, data collection, analysis, and reporting; debug failures across software, networking, hardware, and simulation; expand system coverage; and integrate testing into CI/CD and release workflows.

Build and own the Linux-based edge platform powering factory, deployable, and air-gapped Crucible environments. Responsibilities include system provisioning, networking, security, updates, recovery, device lifecycle management, hardware and peripheral integrations, disconnected operation, fleet management, and full-stack debugging across applications, operating systems, networks, and physical equipment. The role also partners on edge-to-cloud architecture, deployment topology, and system security.

Develop, modernize, operate, and maintain mission-critical software for CNMOC. Responsibilities include architecture, coding, testing, debugging, ETL/ELT pipeline development, data integration, cloud and container operations, translating customer needs into user stories, sprint delivery, technical communication, and mentoring developers. The role also supports geospatial systems, databases, DevSecOps practices, Agile ceremonies, and customer issue escalation.

Develop and integrate avionics, RF, electronic warfare, and mission hardware subsystems for airborne platforms. Responsibilities include requirements development and traceability, architecture and interface management, supplier documentation and oversight, functional and performance analysis, trade studies, hardware integration and testing, troubleshooting, and verification and validation. The engineer collaborates with multidisciplinary hardware, software, firmware, and program teams while ensuring compliance with applicable standards and mission objectives.

Design, develop, deploy, and maintain scalable Workday Finance software, APIs, backend services, distributed systems, and data models. Support financial transactions, accounting, billing, revenue, reporting, reconciliation, and auditability. Troubleshoot production issues, improve reliability and observability, contribute to CI/CD and testing, participate in architecture decisions, and mentor engineers while partnering with Product Management and Finance experts.

Build and maintain software integrations connecting Cribl’s stream-processing engine with systems such as Splunk, Elasticsearch, Kafka, and cloud storage platforms. Research third-party technologies, develop robust Node.js and TypeScript code, create automated and integration tests, collaborate across engineering and product teams, participate in code reviews and on-call support, and contribute to documentation and technical communities.

Build and scale robotics simulation and sim-to-real workflows for NVIDIA partners. Develop solutions involving robot rigging, physics, rendering, sensor simulation, synthetic data, GPU computing, and learned policies. Lead technical evaluations, proofs of concept, workshops, and reference implementations; diagnose performance and integration issues; validate hybrid physics and neural approaches; and collaborate with research, engineering, product, and customers to guide platform adoption and roadmaps.

Designs and verifies FPGA-based image, video, sensor-processing, and compression systems for space applications. Responsibilities include adapting MATLAB algorithms, performing fixed-point and word-length optimization, developing VHDL/Verilog RTL and SystemVerilog testbenches, validating hardware against golden models, debugging with FPGA tools, documenting designs, leading reviews, and mentoring engineers. The role focuses on AMD Xilinx FPGA platforms and high-throughput, low-latency processing architectures for DoD, intelligence, and civil space customers.