Top Remote C++ Jobs in San Diego, CA

Design, develop, and optimize system software and firmware for SoC-based O-RAN infrastructure. Implement power-management policies (DVFS, clock/power gating, thermal control), analyze RU/DU workloads, build performance and power models, create measurement and test tooling, validate on simulation/emulation and silicon, and influence SoC and platform architectures for 5G/6G deployments.

Design, implement, and own a reusable on-device ML inference platform for resource-constrained devices. Integrate inference into RTOS firmware, develop drivers and DMA paths, debug on real hardware, train and optimize models for microcontroller-class hardware, and ship features to production while raising team expertise and using AI-assisted tooling.

Design reproducible coding environments and high-quality reference solutions to train AI. Create and validate complex programming challenges, debug and optimize codebases, refactor legacy systems, document technical decisions, and review technical submissions while collaborating remotely.

Develop and optimize GPU-accelerated algorithms for quantum circuit simulations, collaborating with various teams, and leading technical efforts.

Develop, integrate, and test spacecraft flight software across the full lifecycle. Implement and upgrade cFS-based applications, perform unit-to-platform verification in simulation and HIL/FlatSat environments, support integration with hardware and payloads, and participate in anomaly resolution, mission operations support, and proposal activities.

Lead technical implementation of gameplay systems in Unreal Engine 5, architect multiplayer networking and server-side infrastructure, optimize performance, mentor engineers, and align technical execution with production and platform services for scalable online experiences.

Design, implement, and optimize scalable high-performance dense linear algebra kernels for GPUs. Provide technical leadership, collaborate with product and partners, improve performance and quality, and contribute to library roadmaps and development practices.

Perform technical code review and analysis to determine originality and function, prepare memos and expert reports, rebut other experts, communicate with counsel and clients, prepare testifying experts, manage multiple engagements, and supervise junior staff.

Lead performance practices for large-scale AI systems, enhance datacenter products, and resolve complex performance issues through collaboration and technical expertise.

Design and implement high-performance communication protocols and algorithms for NVIDIA networked supercomputers and datacenters. Develop production-grade communication frameworks and applications, optimize performance and scalability, and collaborate with networking chip design teams on hardware/software co-design.

Develop and optimize ultra-low-latency algorithmic trading and execution engines for cryptocurrency markets. Collaborate with quantitative researchers and traders to implement and maintain high-performance HFT systems, troubleshoot production issues, and continually improve system latency and reliability.

Design, test, and optimize electromechanical systems and motor control firmware. Specify and tune BLDC motors, harmonic drives, and gearboxes. Implement FOC firmware on microcontrollers and integrate industrial communications (EtherCAT, CAN). Collaborate with mechanical engineers on joint design and thermal management to improve efficiency and torque density.

Develop and evaluate high-resolution tactile sensing and dexterous manipulation systems by processing tactile and force-torque data, implementing slip-detection and compliant control, training multi-fingered grasping policies, integrating solutions into robotic platforms, and conducting experiments to validate performance.

Design high-performance C++ libraries for automated PCB design challenges, mentoring peers and shaping technical direction while collaborating with experts in various fields.

Design and implement a video processing engine, develop a cross-platform rendering engine, integrate systems, and optimize performance while collaborating with other engineers.

The Backend Engineer will design, build, and scale Veda's backend systems, ensuring reliability and performance for DeFi applications.

Design and implement gameplay and technical systems, rapidly prototype features (camera, animation, controls, AI), improve level-editor and tooling, collaborate across design and engineering, support multiplayer and live-game operations, and enable the design team with polished interactions and pipelines.

Design and develop immersive experiences using Unreal Engine, provide leadership to team members, optimize code, and ensure performance.

Lead a developer pod to design and deliver UiPath-based Agentic/RPA solutions. Provide technical design, mentor engineers, configure UiPath AI Trust Layer and LLM interfaces, integrate systems via APIs, and drive customer adoption and evangelism of the UiPath platform.

As a Software Engineer at Espresso, you will design and implement core blockchain infrastructure in Rust, focusing on transaction processing and consensus.

The C# / .NET Developer will design and maintain middleware applications, build Shopify integrations, and support a mobile app backend in a remote work environment.

You will design, implement, and optimize NVIDIA CUDA kernels for AI systems, improve GPU memory pipelines, and profile workloads to enhance performance.

Design and implement embedded firmware and low-level software for server BMCs and GPU/HPC platforms. Enhance OpenBMC, enable real-time telemetry of power/thermal sensors, debug low-level drivers and interfaces, validate hardware-firmware integration, and contribute to long-term firmware architecture for cluster reliability.

As a Machine Learning Engineer in Computer Vision, you'll develop AI solutions using advanced algorithms, focusing on image classification, segmentation, and video processing tools.

The ML Engineer will leverage deep learning for natural language processing tasks, impacting Entefy's products while requiring strong machine learning fundamentals and NLP expertise.