gpu jobs in San Diego

Full-Stack Software Engineer responsible for designing and building an on-premises AI server project focused on privacy for defense applications, with end-to-end ownership from planning through development, testing, deployment, and production support. Must be proficient in one backend language (Go, Rust, Python, C#/.NET, or Node.js), frontend frameworks (React or Vue), and Linux/Docker, with hands-on experience managing GPU workloads, LLM and image generation models, and networking/security.…See more This is a 100% onsite, full-time role in San Diego with significant technical decision-making authority over system architecture and quality.

Design, develop, and optimize machine learning systems for production AI platforms, focusing on model development, inference optimization, and scalable ML infrastructure. Responsibilities include building ML pipelines and frameworks, optimizing model inference for latency and cost, integrating LLMs into APIs and microservices, and designing data pipelines for preprocessing and feature engineering.…See more The role requires strong software engineering fundamentals combined with deep ML expertise, working across PyTorch/TensorFlow, model-serving systems, distributed computing, and GPU environments.

Staff Engineer responsible for designing and building scalable test automation frameworks and CI/CD infrastructure for machine-learning systems at scale. The role requires expertise validating ML quality across the full lifecycle (data, training, evaluation, packaging, deployment, monitoring), GPU-accelerated workloads in Kubernetes, and integrated hardware-software systems.…See more You will develop automated evaluation suites, performance baselines, release thresholds, and observability solutions while mentoring teams on ML testing best practices and dependency/reproducibility standards.

AMD seeks a security engineer to implement, validate, and secure AI platform features on internal test hardware and customer systems. The role spans hardware, firmware, and software security—including secure boot, attestation, key/certificate management, vulnerability analysis, and fix development and verification.…See more You will conduct security assessments, develop tooling and automation for testing and remediation, and partner across architecture, firmware, and software teams. The position requires proficiency in C/C++ and scripting languages, deep platform security knowledge (cryptography, memory safety, isolation, trusted execution environments), and experience with AI/ML infrastructure security.

Design and develop machine learning models for computer vision domains including optical flow, depth estimation, visual tracking, SLAM, and 3D reconstruction on Qualcomm Snapdragon platforms. Own end-to-end algorithm implementation from research through production deployment, including training pipeline development, dataset creation, model optimization, and on-device performance tuning.…See more Lead technical direction across projects, influence system-level architecture, and partner with hardware engineers on silicon design. Requires 6+ years of software/hardware/systems engineering experience (or equivalent with Master's/PhD) and demonstrated expertise in on-device ML deployment, neural network optimization, and computer vision algorithm development.

Director of Engineering leading Qualcomm's automotive platform software strategy and execution for OEM customers. Acts as chief technical counterpart for ADAS programs, managing end-to-end software engineering projects from RFI/RFQ through SOP while coordinating internal cross-functional teams (hardware, software, systems, safety, security).…See more Requires 8+ years software engineering experience with 4+ years hands-on programming (C, C++, Java, Python) and proven background in automotive systems architecture, embedded stacks (QNX/Linux/Android), and safety frameworks (ISO 26262, ASPICE).

Senior Network Engineer to design, build, and operate critical network infrastructure for cloud, AI/GPU, and high-performance computing environments. Responsibilities include managing multi-homed internet edge networks with BGP/eBGP, designing high-availability architectures with redundant firewalls and load balancing, deploying InfiniBand/GPU networks, automating configuration with Python/Ansible, and leading incident response.…See more Requires 7+ years of network engineering experience, strong BGP and TCP/IP expertise, hands-on work with Cisco/Arista/Fortinet platforms, and network automation skills.

Senior engineer designing, developing, and debugging Android and automotive software features for next-generation vehicle experiences. Responsibilities include hands-on development across Android, Linux, QNX, and embedded systems; deep system integration testing and SIT-level debugging; log analysis and root-cause analysis across software and hardware layers; and collaboration with platform, UX, and system integration teams to support rapid prototyping and customer showcases.…See more Requires 2+ years software engineering experience with proficiency in C, C++, Java, or Python; 5+ years preferred in Android, Android Automotive, embedded systems, or automotive software platforms.

Lead end-to-end robotics system architecture spanning hardware, firmware, OS, middleware, AI runtimes, and cloud integration at the principal/director level. Define architectural principles for real-time behavior, performance, safety, determinism, and scalability across heterogeneous compute (CPU/GPU/DSP/NPU/MCU), and guide decisions across perception, localization, navigation, planning, manipulation, and control stacks.…See more Architect multi-sensor systems with precise timing/synchronization (PTP/IEEE 1588), sensor fusion pipelines, and ROS 2/DDS-based middleware. Provide technical leadership, mentorship, hiring standards, and influence multi-year platform strategy.

This role combines computational research, HPC system optimization, and AI/ML deployment support at UC San Diego's Supercomputer Center. The incumbent will develop and deploy AI inference services on cutting-edge HPC platforms (PNRP, Expanse, Voyager), support researchers integrating these services into workflows, collaborate on hardware integration (FPGAs, accelerators), maintain benchmark suites on Kubernetes clusters, and contribute to proposals characterizing system performance.…See more The position requires advanced skills in HPC performance analysis, machine-learning deployment on innovative hardware, complex computing environment troubleshooting, and hands-on Kubernetes experience.

As a Multimedia Engineering Intern at Qualcomm, you will work on system-level architecture, analysis, and optimization of multimedia technologies including camera, video encoding/decoding, audio, speech, GPU, and computer vision across Snapdragon devices. The role focuses on HW/SW co-design and power/performance optimization for billions of devices globally.…See more You'll contribute to projects in graphics, computer vision, imaging, speech/audio, video processing, or software tools, depending on your background and interests. The internship requires 11–14 weeks availability (May–September 2027) and a strong foundation in C/C++, Python, and domain-specific knowledge (signal processing, deep learning, or GPU/graphics experience preferred).

Qualcomm Research seeks a senior firmware engineer to design, develop, and integrate embedded software for advanced wireless platforms targeting 6G research prototypes. You will optimize real-time embedded systems across full development lifecycles, collaborate with baseband/RF/hardware teams, and work on signal processing algorithms, device drivers, and hardware platform bring-up.…See more The role requires proficiency in C/C++, multi-threading, OS fundamentals, and experience with wireless communication systems (5G NR, 802.11), GPUs, DSPs, and complex system debugging.

Design, implement, and verify machine learning software for embedded ARM processors, DSPs, and GPUs in mobile, edge, automotive, and IoT products. Optimize ML kernels, frameworks (TensorFlow, PyTorch), and compilers to leverage specific hardware capabilities; develop in C++, C, or Python with focus on performance tuning and integration testing.…See more Collaborate with hardware teams on joint design/development, coordinate dependencies across teams, and contribute to design reviews and project meetings.

Senior staff engineer responsible for designing, developing, and debugging platform software drivers and modules for next-generation automotive SoCs. Will lead development efforts across multiple domains including Linux/QNX kernels, bootloaders, device drivers, multimedia systems, and low-power management frameworks.…See more Requires 6+ years of software engineering experience with deep hands-on expertise in embedded systems, ARM architecture, C/C++ programming, and SoC hardware debugging. Will collaborate with hardware, systems, and test teams to deliver automotive infotainment, telematics, and autonomous driving solutions.

Design and develop camera firmware and image-processing software for Qualcomm IoT devices, including ISP drivers, 3A algorithms, and image-quality systems. Architect embedded camera subsystems optimized for power and performance, leveraging ARM, DSP, GPU, and ML accelerators.…See more Lead full software lifecycle from concept through commercialization on Linux and Android platforms, collaborating with cross-functional teams to deliver production-ready imaging solutions.

Design and architect next-generation mobile computer vision and deep learning systems for Qualcomm's AI accelerators and heterogeneous platforms. Define hardware-aware algorithm implementations, deep learning engine architectures, HW/SW partitioning strategies, and performance/power optimization across CPUs, GPUs, DSPs, NPUs, and dedicated accelerators.…See more Analyze neural network workloads, drive top-down architecture exploration, and collaborate with hardware teams to translate state-of-the-art CV and AI models into efficient mobile implementations.

Principal Software Engineer leading AI software strategy and architecture for Qualcomm's automotive platform. Responsibilities include architecting and deploying advanced AI workloads (computer vision, LLMs, multimodal models, generative AI) on automotive systems, driving cross-functional technical decisions across AI, automotive engineering, and platform teams, mentoring engineers organization-wide, and ensuring solutions meet automotive safety, performance, and reliability requirements.…See more Requires 8+ years of software/systems engineering experience (or equivalent with advanced degree); preferred qualifications include 15+ years in AI/ML, embedded systems, or automotive software, expert C/C++ proficiency, and demonstrated experience with automotive safety standards (ISO 26262, ASPICE), edge AI inference, and Qualcomm AI frameworks.

Design, implement, and optimize GPU hardware, drivers, features, and tools at Qualcomm. Write code for graphics features and APIs using C++, C, Perl, and Python.…See more Maintain pre- and post-silicon tests to verify performance and collaborate with cross-functional teams to improve designs and identify deficiencies.

Director of Engineering role leading Qualcomm's automotive platform software engagement with OEM customers (Tier 1/major automakers). Responsibilities span technical leadership across ADAS programs, coordinating internal engineering teams (hardware, software, systems, safety, security, tools), managing project delivery from concept through SOP and maintenance, and serving as the primary technical interface between customer engineering executives and Qualcomm leadership.…See more Requires 8+ years of software engineering experience (or 7+ with Master's, 6+ with PhD) plus 4+ years with C, C++, Java, Python, or similar languages; preferred background includes automotive systems engineering, compute platform architecture (SoC, GPU/DSP), and embedded software stacks (QNX, Linux, Android).

Principal Engineering role leading automotive platform software initiatives at Qualcomm, serving as the chief technical counterpart to OEM engineering leadership. Responsibilities include developing deep understanding of OEM roadmaps and architectures, leading all technical aspects of business acquisition and delivery execution, coordinating cross-functional Qualcomm engineering teams (HW, SW, systems, safety, security), and representing customer needs in internal forums.…See more Requires 6–8+ years of software engineering experience (depending on degree level), with 4+ years in C, C++, Java, or Python, and preferred expertise in automotive systems, compute platform architecture, and embedded software stacks (QNX, Linux, Android).

Sr. Staff Software Engineer role designing and developing Multimedia, AI, and Gen AI SDKs/framework components for IoT products including drones, cameras, and media devices.…See more Requires 6+ years of software engineering experience with 3+ years in C, C++, Java, or Python, with strong preference for deep embedded systems expertise, real-time solutions, and AI/ML inference frameworks. Responsibilities include leading architecture and development of GStreamer-based SDKs, driving feature design across diverse product categories, and providing technical leadership on code quality and cross-functional collaboration.

Design, develop, and integrate embedded firmware for advanced wireless platforms and 6G research prototypes across the full development lifecycle. Optimize performance in real-time embedded systems, collaborate with RF/baseband/hardware teams, and implement signal processing algorithms on heterogeneous processors.…See more Requires proficiency in C/C++, multi-threading, OS fundamentals, and experience with wireless communication systems such as 5G NR or 802.11.

As a Senior SoC Platform Software Engineer at Qualcomm, you will lead development, debugging, and customer interactions for platform software drivers and modules targeting next-generation automotive solutions. You'll comprehend software product requirements and their relationships to hardware blocks, delivering embedded software for ARM-based SoCs supporting infotainment, telematics, ADAS, and autonomous driving.…See more The role requires 6+ years of software engineering experience with proficiency in C/C++, and preferred expertise across Linux kernel, bootloaders, device drivers, SoC architecture, real-time operating systems, multimedia systems, and automotive safety standards (ASPICE, ISO26262, ISO21434).

Staff engineer leading architecture and evolution of Qualcomm's Ambient Perception Platform for always-on, context-aware AI on power-constrained edge devices. Responsibilities include designing low-power AI runtime platforms, multimodal sensing systems, secure data architectures, and heterogeneous computing frameworks across Android, Linux, Windows, XR, automotive, and IoT.…See more Requires 4+ years software engineering experience (or equivalent with advanced degree), 2+ years with C, C++, Java, or Python, and expertise in embedded systems, ARM/DSP/NPU optimization, and edge AI workload efficiency. Strong preference for 8–12+ years in software architecture, platform frameworks, and heterogeneous SoC development.

As a Staff Product Data Manager for AI Platforms & Systems Solutions at Qualcomm, you will own the product strategy, definition, and lifecycle for AI platform products and specifications spanning model enablement, agentic systems, orchestration runtimes, and open protocols. You will develop comprehensive plans of record including schedules, budgets, and resources, directing products from conception through end of life while functioning as a central resource across systems, engineering, standards, quality, marketing, and partner teams.…See more The role requires deep fluency in the Windows edge-AI stack, with technical depth across AI/ML models, agentic systems, orchestration engines, standards development, and hands-on experience delivering Windows-based AI products leveraging local accelerators (CPU, GPU, NPU). You will translate emerging model, agentic, and orchestration trends into differentiated product and specification roadmaps.