signal-processing jobs in San Diego

As an ML engineer at Booz Allen Hamilton, you'll design, build, and deploy production-grade AI/ML systems for Defense and Intelligence clients. You'll work across the full ML lifecycle—from model development in deep learning, computer vision, NLP, and signal processing through MLOps, containerization, and cloud deployment.…See more The role requires 2+ years of ML engineering or data science experience, proficiency with frameworks like TensorFlow and PyTorch, and the ability to obtain a Secret clearance.

Design, train, and optimize machine learning models for 5G, wireless, and multimedia telecommunications products. Explore novel deep learning and signal processing techniques, conduct large-scale experiments, and translate research into production-ready solutions.…See more Requires strong background in machine learning, deep learning, and signal processing, with experience developing models for edge devices and chipsets.

Design and develop advanced machine learning models for automotive radar signal processing, including end-to-end ML pipelines from data preprocessing through model training, validation, and performance optimization. Evaluate novel deep learning architectures (CNNs, RNNs, Transformers) for radar data analysis and optimize models for real-time embedded deployment under latency, memory, and power constraints.…See more Bridge research and production by translating state-of-the-art ML techniques into scalable algorithms for radar-based detection, classification, and tracking, with strong requirements in signal processing, statistical analysis, and Python/PyTorch/TensorFlow proficiency.

Design, develop, and test secure military radio communication systems, including antennas, transceivers, and digital signal processing units. Conduct RF laboratory and field testing, troubleshoot hardware/software/firmware issues, and contribute to system architecture and technical documentation.…See more Collaborate with cross-functional teams and stay current with industry standards in wireless communications. Entry-level role for recent graduates with an EE or systems engineering degree and 2–4 years of systems engineering experience.

Senior embedded software engineer responsible for designing, developing, and integrating embedded C/C++ software for next-generation intravascular ultrasound (IVUS) medical devices. The role requires 7+ years of embedded systems experience, strong hardware/software integration skills, expertise with microcontrollers, DSP, FPGA, and data acquisition systems.…See more Responsibilities include ultrasound signal processing, FPGA-to-console interfaces, diagnostics/test software development, and cross-functional collaboration with FPGA, electronics, systems, and manufacturing teams.

An embedded systems software engineer role designing, implementing, and optimizing C applications for real-time signal processing on custom SoCs. The engineer will port signal processing algorithms from MATLAB/Python/C++ to optimized C code, develop Hardware-in-the-loop tests, and work across multi-disciplinary teams of software engineers, systems engineers, hardware designers, and signal processing experts.…See more Requires 8+ years of C/C++ embedded systems development, strong signal processing fundamentals, and hands-on Linux development experience.

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.

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.

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.

Design, create, and implement production-grade AI/ML systems for Defense and Intelligence clients. You'll architect scalable machine learning solutions handling fast-moving data, deploy models across multiple data modalities using frameworks like TensorFlow and PyTorch, and integrate solutions into mission environments.…See more The role requires 2+ years of ML engineering or data science experience, proficiency with ML frameworks and programming, and hands-on work in deep learning, computer vision, NLP, or signal processing.

Lead a specialized team of software engineers at the intersection of hardware, software, and AI, focusing on developing innovative Pixel experiences using sensor signals. The role requires deep expertise in real-time embedded software development, sensor fusion algorithms, machine learning infrastructure optimization, and AI/ML design.…See more You will independently design and implement systems, collaborate with stakeholders on technical direction, and manage a team building power-efficient, sensor-driven features leveraging computer vision, signal processing, and estimation theory.

Senior Software Engineer responsible for designing, developing, and maintaining control software for advanced life science research instruments. The role spans the full technology stack—from low-level hardware integration and motion control to distributed services and user-facing applications—requiring expertise in C#/.NET, Linux, real-time data acquisition, multi-threaded programming, and RPC frameworks.…See more Core responsibilities include developing data acquisition and signal processing pipelines, collaborating with systems engineering teams, refactoring existing architecture, and troubleshooting complex instrument software. Requires 5+ years of software development experience with strong C# proficiency and familiarity with control systems, communication protocols, and performance optimization.

Sr. Systems Engineer I will translate complex technical findings into actionable recommendations for cross-functional teams (Quality, Manufacturing, Service Engineering, R&D, Regulatory, Leadership) in a medical device environment.…See more The role requires 4+ years of industrial systems engineering or product development experience, with strong preference for domain expertise in flow cytometry, cell analysis, signal processing, embedded systems, electronics, software, fluidics, optics, or assay reagents. Key responsibilities include executing system-level characterization, integration, and test procedures. A Bachelor's degree in engineering or related discipline is required; Master's or PhD preferred.

Senior Systems Engineer responsible for translating complex technical findings into actionable recommendations across Quality, Manufacturing, Service Engineering, R&D, Regulatory, and Leadership teams. Requires a bachelor's degree in engineering and 4+ years of industrial experience in systems engineering, product development, or sustaining roles.…See more Strongly preferred experience in flow cytometry or cell analysis domains (signal processing, embedded systems, electronics, software, fluidics, optics, assay reagents). Will execute system-level characterization, integration, and test procedures.

Algorithm Software Engineer responsible for designing, implementing, and testing C applications in real-time embedded systems within multi-disciplinary teams. The role involves porting and optimizing signal processing algorithms from MATLAB, Python, or C++ to C for multi-core DSP applications, leveraging SIMD, VLIW, and hardware accelerators to meet real-time requirements.…See more Responsibilities include developing Hardware-in-the-Loop tests, optimizing code for performance, and communicating technical details with internal and external stakeholders. Requires 8+ years of embedded C/C++ development experience, strong signal processing knowledge, Linux proficiency, and active Secret-level security clearance with ability to obtain TS/SCI.

Senior Firmware Engineer role developing high-performance, real-time firmware for camera-based sports equipment. Requires 6+ years of embedded systems experience with mastery of C/C++ for bare-metal and real-time development, proven ability to interface with DDR, Flash, I2C, SPI, RTOS, and LVDS components, and expertise in hardware debugging (JTAG).…See more The role includes mentoring junior engineers, optimizing performance-critical systems for low-latency/high-speed applications, and collaborating with hardware and systems teams. Strongly desired skills include FPGA design (Xilinx Zynq/Versal/Artix), Vitis/Vivado, computer vision/image processing, and embedded Linux.

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.

Design, implement, and optimize C/C++ applications for real-time signal processing in embedded systems, including porting algorithms to multi-core environments and developing hardware-in-the-loop tests. The role requires 4+ years of embedded C/C++ development experience, strong understanding of signal processing and linear algebra, and familiarity with hardware-software interaction and computer architecture.…See more You'll work within multi-disciplinary teams on advanced systems, optimize code for DSP applications and parallel processing, and communicate technical details to internal and external engineers.

The Senior Machine Learning Engineer will design and develop advanced ML models for automotive radar signal processing, including end-to-end pipelines from data preprocessing through model training and optimization. The role requires expertise in deep learning architectures (CNNs, RNNs, Transformers), radar signal analysis, and deploying models for real-time embedded systems with constraints on latency, memory, and power.…See more Responsibilities include evaluating state-of-the-art ML techniques, optimizing models for production, and translating research into scalable algorithms. The position demands a Master's or PhD in a quantitative field, 3+ years of ML research experience, strong proficiency in Python and frameworks like PyTorch or TensorFlow, and foundational knowledge of radar fundamentals.

Design and develop advanced machine learning models for automotive radar signal processing, including end-to-end ML pipelines from data preprocessing through model training and optimization. Evaluate novel deep learning architectures (CNNs, RNNs, Transformers) applied to radar data in time-domain, frequency-domain, and range–Doppler representations.…See more Optimize models for real-time embedded deployment under latency, memory, and power constraints, and translate research outcomes into scalable, production-ready algorithms. Requires a Master's or PhD in a quantitative field, 3+ years of ML research experience, strong radar and signal processing fundamentals, and proficiency in Python, PyTorch/TensorFlow, and cloud platforms.

Lead the design and development of embedded NPU software frameworks, runtime libraries, and system drivers for Qualcomm's Snapdragon SoC portfolio, optimizing for high-performance AI and multimedia workloads across mobile, automotive, compute, and XR platforms. Architect solutions across the full stack from low-level drivers to high-level frameworks, collaborating with hardware and systems teams to deliver production-grade solutions.…See more Drive technical decisions, mentor engineers, and optimize software using advanced NPU architecture techniques including SIMD, multi-threading, and memory hierarchy optimization. Requires deep expertise in embedded systems, C/C++, NPU architecture, real-time operating systems, and demonstrated ability to lead complex development efforts across cross-functional teams.

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.

Senior Embedded Firmware Design Engineer at Semtech responsible for defining, developing, and optimizing embedded firmware for low-power mixed-signal circuits from specification through production support. Role includes designing hardware-firmware architectures, implementing ML-based inference firmware, conducting pre- and post-silicon validation, and mentoring junior engineers.…See more Requires 8–10 years of embedded firmware experience for mixed-signal ICs, strong C/C++ and assembly proficiency, deep knowledge of MCU architectures (ARM, RISC-V, STM32), and expertise in real-time systems, signal processing, and design-for-test methodologies.

Lead the design and development of embedded NPU software frameworks, runtime libraries, and system drivers for AI acceleration across Snapdragon SoCs. Architect optimizations for high-performance, low-power multimedia and machine learning workloads spanning mobile, automotive, compute, and XR platforms.…See more Work across the full software stack—from low-level drivers to high-level frameworks—collaborating with hardware and systems teams. Mentor engineers, drive technical decisions, and own system-level integration across CPU/DSP/NPU subsystems.