cuda jobs in San Diego

Senior Principal Software Engineer responsible for translating MATLAB LiDAR algorithms into high-performance GPU implementations using C++ and CUDA. Will create LiDAR software models and test datasets for software-in-the-loop testing, produce UML documentation, work with LiDAR hardware in a laboratory environment, and communicate results to multidisciplinary teams.…See more Requires strong C++ programming skills, GPGPU framework experience (CUDA or OpenCL), and MATLAB/Simulink proficiency, with a bachelor's in STEM plus 8 years of experience (or equivalent advanced degree with fewer years).

Senior Embedded Software Engineer responsible for designing, developing, and integrating cyber-secure embedded software for satellite avionics and payload processing systems. The role focuses on real-time system monitoring, Linux board support packages, low-level sensor and communication interfaces, and secure cryptographic implementations across multi-core ARM Cortex and RISC-V processors with FPGA integration.…See more Will mentor junior engineers and provide subject-matter expert guidance while ensuring compliance with government security standards and secure-system best practices.

Senior Embedded Software Engineer role focused on developing advanced embedded software for aerospace systems running on ARM Cortex and RISC-V architectures. Responsibilities include building embedded Linux systems with custom kernels and bootloaders, implementing real-time RTOS solutions, integrating communications interfaces (SPI, I2C, UART, PCIe, SpaceWire, Ethernet), and securing systems with cryptographic protocols (TLS, IPsec, AES, RSA, ECDSA).…See more The role requires 9+ years of embedded C/C++ development experience, deep expertise in embedded Linux and RTOS, proficiency with networking and security protocols, and the ability to mentor junior engineers while leading software architecture and integration efforts across hardware and FPGA teams.

Senior Embedded Software Engineer leading development of embedded Linux and RTOS systems for aerospace hardware platforms. Designs low-level C/C++ software, device drivers, and real-time applications for ARM Cortex and RISC-V architectures while integrating communications interfaces (SPI, I2C, UART, PCIe, Ethernet, SpaceWire) and implementing cryptographic security protocols.…See more Mentors junior engineers, manages software configuration and releases, and collaborates closely with hardware and FPGA teams on system integration and validation.

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.

Staff Engineer responsible for designing and implementing scalable test automation frameworks and infrastructure for machine learning systems across multiple engineering teams. The role requires expertise in validating ML pipelines across data, training, evaluation, deployment, and monitoring; testing GPU-accelerated workloads in Kubernetes; qualifying integrated hardware and software systems; and developing comprehensive integration and regression strategies.…See more Deep experience with Python automation, distributed systems testing, performance profiling, and observability is essential, along with strong system-design skills for complex, multi-tenant environments.

Design and develop GPU profiling, performance analysis, and debugging tools for the Snapdragon Adreno GPU. Collaborate with GPU hardware and software teams on performance validation, debug issues, optimize user experience, and work with the developer ecosystem and OEMs.…See more Requires 4+ years of software engineering experience with strong C/C++ and GPU hardware knowledge. This is a full-stack role spanning user interfaces to graphics driver instrumentation.

Software engineer with 6+ years of backend development experience (or 4+ with a Master's degree) designing and optimizing high-performance algorithms for radar, optical, and infrared sensor systems. You'll work with a cross-disciplinary team to engineer scalable distributed systems, accelerate code on GPUs using CUDA, and integrate scientific codebases in Linux/Unix environments.…See more Strong expertise in C/C++, high-performance computing, MPI, parallel/distributed processing, and AI/ML algorithms is required, along with advanced mathematics or physics foundations and proven system-level problem-solving ability.

Build production inference systems that turn ML research prototypes into deployed, performant components under strict latency, throughput, memory, and accuracy constraints. Own the full pipeline from model optimization through deployment: profile and tune tensor execution, write Rust/C++/CUDA where necessary, build evaluation machinery tied to product metrics, and maintain reproducible deployment contracts.…See more You'll collaborate with research teams to surface shipping risks early and translate algorithmic work into engineering reality with explicit performance budgets and regression gates.

As a System Performance Engineer at Qualcomm, you will optimize and validate power, performance, and thermal behavior of Snapdragon chipsets across mobile, compute, automotive, IoT, and data center platforms. You will profile complex concurrent system use-cases in emulation and software environments (Android/Linux/Windows), define performance analysis plans across CPU, GPU, and AI/ML workloads, identify optimization opportunities in SoC architecture, and triage performance issues to root cause.…See more You will collaborate with cross-functional hardware, software, and architecture teams, mentor junior engineers, and prepare technical recommendations for senior leadership. The role requires strong programming skills (Python, C/C++), deep knowledge of ARM SoC architecture, memory hierarchy, system interconnects, and hands-on experience with power/performance analysis tools and benchmarks.

Embedded Software Engineer III will develop real-time embedded C/C++ software for satellite avionics and payload data processing systems, working with multi-core processors, FPGA-integrated platforms (Xilinx, Microchip, Vorago), and ARM Cortex/RISC-V architectures. Responsibilities include customizing Linux kernels and bootloaders (U-Boot, GRUB) for flight applications, implementing secure communications (IP, TLS, IPsec, AES, RSA, ECDSA), and interfacing with embedded buses (SPI, I2C, UART, PCIe, SpaceWire).…See more The role requires 5+ years of embedded software experience in C/C++, deep knowledge of networking protocols and cryptographic systems, and ability to collaborate with hardware and FPGA engineers on rugged, Low-SWaP aerospace products.

As a senior-level systems engineer on Qualcomm's System Performance Team, you will optimize and validate power, performance, and thermal behavior of Snapdragon chipsets across mobile, compute, automotive, IoT, and data-center AI platforms. You will profile and analyze complex concurrent system use-cases in emulation and software environments (Android/Linux/Windows), define performance and power analysis plans across CPU, GPU, and AI/ML workloads, identify optimization opportunities in SoC hardware and software architectures, and triage root-cause issues for stakeholders.…See more You will provide technical leadership and mentorship to junior engineers, collaborate with cross-functional teams to implement solutions, and develop automation to improve team efficiency. The role requires 10+ years of post-silicon power and performance analysis experience, strong programming skills (Python, C/C++), and deep knowledge of ARM SoC architecture, memory hierarchies, system interconnects, and modern AI/LLM workloads.

Build and optimize a high-throughput compute stack for reliable, production-grade data ingestion, processing, storage, and delivery. The role focuses on making stateful, multi-threaded pipelines fast and observable under real-world constraints—profiling bottlenecks, hardening recovery behavior, and productizing machine-learning models (neural networks, tree-based, unsupervised) to meet performance, reliability, and quality standards.…See more You will work alongside algorithm and infrastructure engineers, using measurements to drive performance improvements and ensure production interfaces remain durable as the system evolves. Requires strong systems-level experience with concurrency, I/O, and production debugging in C++, Rust, CUDA, or C; a track record of shipping production software; and hands-on expertise in resilient data pipelines and GPU computing.

Design and develop Qualcomm's in-house robotics simulation platform and AI infrastructure, integrating modern 3D engines, GPU-accelerated compute, and machine learning to enable robot policy training and validation. Build digital twins, synthetic data pipelines, and hardware-in-the-loop configurations that bridge simulation and real Qualcomm robotics hardware.…See more Partner with robotics researchers to iterate on simulation fidelity, sensor modeling, and continuous learning workflows that move algorithms from simulation to deployed robots. This role demands depth in robotics simulators (MuJoCo, Isaac Sim, Unreal/Unity), GPU programming (CUDA), reinforcement learning at scale, and AI infrastructure orchestration (Kubernetes, Argo Workflows).

Develop high-performance GPU kernels and runtimes for accelerating machine learning and image processing on Qualcomm Adreno GPUs. Optimize drivers for OpenCL, OpenGL ES, Vulkan, and DirectX APIs, working closely with hardware designers to understand and improve hardware/software interfaces.…See more Implement machine learning inference and training acceleration, write unit tests and documentation, and collaborate with partners and OEMs. Requires strong C/C++ skills, familiarity with GPGPU APIs like CUDA or OpenCL, and understanding of data structures, algorithms, and object-oriented programming.

Lead the design, development, and operation of Qualcomm's enterprise AI platform, supporting agentic AI, model lifecycle management, and multi-cloud ML/inference infrastructure. Own core platform services including identity/RBAC, secrets, service meshes, observability, vector stores, and model gateways across on-prem GPU clusters and managed cloud services.…See more Manage a ~10-engineer global team (platform, SRE, MLOps/LLMOps), drive incident response and continuous improvement, and partner with product and security teams on AI governance and high-impact use cases.

Design, implement, and optimize advanced algorithms for radar, optical, and infrared sensor systems, working with scientists and engineers to build high-performance backend systems for scientific computing in distributed environments. Translate existing code for GPU/CUDA acceleration, integrate and refactor scientific codebases, and work in Linux/Unix environments.…See more Requires 6+ years of C/C++ backend development (or 4+ with a Master's), expertise in high-performance computing, parallel/distributed processing (MPI), GPU/CUDA programming, and foundational knowledge of AI/ML and LLM concepts.

Qualcomm seeks a Staff Engineer to lead development of LLVM-Ripple, a compiler toolchain for massively parallel applications on Snapdragon platforms. You will design and optimize compiler components (front-end, middle-end, back-end), parallel runtimes, and developer-facing features for heterogeneous compute architectures.…See more Key responsibilities include architecting runtime improvements, evolving programming abstractions, collaborating with hardware teams to expose new parallel features, and driving performance optimization across the full ecosystem. The role requires deep expertise in compiler internals, parallel programming models (CUDA, OpenCL, OpenMP, SIMD/SIMT), C/C++, and performance analysis on modern SoCs.

Build and optimize scalable LLM inference platforms at Qualcomm's Cloud AI team, implementing advanced serving techniques like KV-cache management, speculative algorithms, and model optimization. Contribute to production serving frameworks (vLLM, SGLang, Triton, TGI) and work with customers on deployment solutions.…See more Collaborate with compiler, firmware, and platform teams to drive efficient serving through autoscaling, load balancing, and routing. Requires deep understanding of transformer architectures, strong PyTorch and Python skills, computer architecture knowledge, and hands-on experience profiling and optimizing deep learning workloads.

Staff Product Manager role owning the global ADAS/Autonomous Driving and Infotainment software product roadmap for Qualcomm's SoC platforms. Responsible for defining product strategy from conception through end-of-life, analyzing business opportunities, driving execution, and leading customer engagements.…See more Requires deep expertise in ADAS/AD software development, platform software (Linux, QNX, BSP), embedded software, middleware, automotive SW development, functional safety, and image/video processing. Will lead engineering discussions at principal-engineer level on BSP, drivers, OS, RTOS, AUTOSAR, ADAS middleware, IVI solutions, AI/ML processing, and functional safety standards, while managing cross-functional stakeholders across product management, engineering, business development, marketing, finance, and sales.

Senior/Staff Software Engineer role focused on architecting, designing, and developing driver, diagnostic, and embedded software for intravascular ultrasound systems using C++. You will work cross-functionally with electrical, transducer, software, system, and ultrasound engineers to develop medical capital equipment, create software requirement specifications and architecture documents, and debug driver and embedded software for hardware-application communication.…See more Requires 8+ years of embedded software development experience (preferably medical electronics), strong C++ expertise, object-oriented programming knowledge, and a BS/MS in Computer Science, Electrical Engineering, Biomedical Engineering, or related field. Experience with detailed design documentation, digital signal and image processing, and CUDA is a plus.

Senior/Staff Software Engineer role developing driver, diagnostic, and embedded software for intravascular ultrasound systems using C++. Responsibilities include architecting and designing embedded software, creating detailed design documentation (specifications, architecture, design documents), developing driver software for hardware-application communication, and interfacing with cross-functional teams including hardware, electrical, and system engineers.…See more Requires 8+ years of embedded/software development experience, strong C++ expertise, BS/MS in Computer Science or related field, and experience creating detailed design documentation; digital signal/image processing and CUDA knowledge are preferred.

As a Staff System Performance Engineer, you will research, simulate, and validate performance across Qualcomm Snapdragon chipsets, optimizing power, performance, and thermal behavior for Mobile, Compute, Automotive, and IoT platforms. You will profile complex concurrent system use-cases in emulation and software environments (Android/Linux/Windows), define performance analysis plans across multiple workloads (CPU, GPU, AI/ML), and identify optimization opportunities in SoC software and hardware architectures.…See more You will lead triage of performance issues, collaborate with cross-functional teams on power and thermal solutions, and mentor junior engineers. The role requires 4+ years of post-silicon power/performance analysis experience, strong programming skills (Python, C/C++), deep understanding of ARM SoC architecture, and the ability to communicate findings to senior leadership and drive architectural decisions.

The Embedded Software Engineer III designs and implements embedded software for satellite avionics and payload data processing systems, including real-time monitoring, power management, and Linux board support packages for flight applications. The role requires proficiency in C/C++ on embedded Linux and RTOS platforms, experience with ARM Cortex and RISC-V architectures, bootloader/kernel customization, and networking/security protocols (IP, TLS, IPsec).…See more Responsibilities include interfacing with FPGA systems (Xilinx, Microsemi, Microchip, Vorago), cryptographic implementations, and close collaboration with hardware teams to deliver low-SWaP aerospace solutions. Candidates must have 5+ years of embedded software development and the ability to obtain a U.S. Security Clearance.

Senior Embedded Software Engineer role focused on R&D and production software development for next-generation radar products. Responsibilities include building embedded Linux systems, supporting system integration on custom hardware, and maintaining deployed software for U.S.…See more and international defense customers. Requires 4+ years of professional object-oriented software development with C/C++ and Python, extensive Linux experience, and familiarity with Agile/Scrum methodologies. Must be a U.S. Person with ability to access U.S.-only data systems.