profiling jobs in San Diego

Senior C++ engineer responsible for architecting and implementing core features of EdgeOS and EdgeOS RT middleware for autonomous systems. You'll develop runtime services and abstractions across Linux, real-time operating systems, and resource-constrained platforms; design debugging and evaluation tooling; and contribute to EdgeOS Language (an interface definition language).…See more This role requires 7+ years of C++ production experience, strong multithreading and embedded systems expertise, and collaboration with autonomy and systems engineers from design through integration.

Shield AI seeks a Senior C++ Engineer to design and develop the Hivemind Foundations middleware framework for autonomous systems, focusing on EdgeOS and EdgeOS RT. You will own architecture and implementation of critical runtime services and abstractions across Linux, real-time operating systems, and resource-constrained platforms, while developing debugging and observability tooling and contributing to EdgeOS Language, their interface definition language.…See more The role requires 7+ years of production C++ experience with deep expertise in multithreaded systems, embedded platforms, systems programming, and real-time operating systems, alongside strong software engineering practices including automated testing and technical documentation.

Qualcomm seeks a Computer Vision Engineer to develop machine learning algorithms for optical flow, depth estimation, visual tracking, SLAM, and 3D reconstruction on Snapdragon platforms. You will own end-to-end algorithm development—from training state-of-the-art neural networks and managing large datasets to optimizing and deploying models on-device for real-time performance.…See more The role requires deep expertise in ML model architecture, hardware/software optimization, and the ability to analyze performance bottlenecks across Qualcomm's hardware/software stack. You will serve as a technical leader, influencing system architecture, working with hardware teams on silicon design, and driving solutions from research through production.

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.

Senior Principal Software Engineer leading the Robotic Automation team at Monarch Quantum, responsible for architecting and maintaining complex distributed software systems that manage robotic hardware and manufacturing execution. Requires 10+ years of software engineering experience with 8+ years of professional C++ development and strong Python expertise, including experience designing fleet management, data management, or manufacturing systems.…See more The role combines hands-on coding and code/design review leadership with strategic planning, mentorship, and technical risk mitigation across C++ and Python codebases. Requires U.S. person status due to export-controlled information access.

Build and maintain a native Go-based Identity SDK with feature parity to existing authentication libraries, including Client Bearer Token validation, cryptographic signature verification, token expiration and revocation handling, and security header injection. Integrate token validation within Go-based service mesh and proxy environments (Envoy, Istio), design migration strategies with progressive rollouts and rollback capabilities, and conduct performance benchmarking and latency optimization.…See more Collaborate cross-functionally to deliver secure, scalable identity solutions and create technical documentation for adoption by engineering teams.

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.

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 embedded DSP software engineer role developing platform software for CPU, DSP, and NPU processors in Snapdragon SoCs. Responsibilities include designing multi-processor multimedia and AI frameworks, developing high-performance drivers and runtime libraries, profiling and optimizing system performance for DSP acceleration, and collaborating with hardware and firmware teams on design trade-offs.…See more Requires strong C/C++ programming, real-time operating systems, driver development, and computer architecture expertise, with experience optimizing software on resource-constrained platforms.

Qualcomm Data Center seeks a Staff Linux Software Engineer to lead development of host-side system software, drivers, and libraries for next-generation datacenter inference accelerators. The role spans driver development, test infrastructure, performance optimization, and security enablement, with emphasis on production-ready Linux-based systems.…See more You will own complex subsystems end-to-end, drive architectural decisions, and provide technical leadership across software, hardware, and platform teams. Core responsibilities include designing Linux user-space and kernel-adjacent drivers in modern C++, architecting CI/test infrastructure, optimizing AI inference performance, and collaborating with hardware, firmware, and cloud teams.

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.

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.

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.

Lead systems architecture for next-generation AR/VR/wearable AI System-on-Chip (SOC) designs at Qualcomm's XR Architecture Team. Drive SOC specifications through use-case analysis, on-target profiling, power and performance modeling, and HW-SW partitioning.…See more Collaborate with product management and OEM partners to define forward-looking architecture features and optimize across power, performance, and feature trade-offs. Requires 6+ years of systems engineering experience (or equivalent with advanced degree) and hands-on lab work with chipset development.

Senior software engineer responsible for designing, developing, and maintaining control software for advanced life science research instruments. Core work spans low-level hardware integration, data acquisition, motion control, signal processing, and distributed services using C# and .NET 6+.…See more Will refactor existing architecture, improve performance and reliability, and collaborate with systems engineering teams to implement new instrument functionality. Requires 5+ years of software development experience, proficiency with Linux, multi-threaded programming, real-time data acquisition, and RPC frameworks like gRPC.

Lead a specialized team of software engineers developing innovative Pixel sensor experiences at the intersection of hardware, software, and AI. You will drive the design and implementation of real-time embedded systems that process sensor signals efficiently while applying machine-learning and signal-processing algorithms in a power-optimized manner.…See more Required: 8 years software development experience, 5 years in computer vision or signal processing, 5 years leading ML design and infrastructure optimization, and 3 years technical leadership. This role demands deep expertise in embedded software, AI/ML algorithms, sensor fusion, and the ability to independently architect systems while managing a team.

Qualcomm seeks a Staff Embedded Software Engineer (6+ years) to design, implement, and maintain real-time operating system (RTOS) software components across QuRT OS and Zephyr RTOS platforms deployed on Qualcomm SoCs. You will own complex system-level issues, lead feature design from requirements through deployment, perform deep root-cause analysis on crashes and traces, and collaborate across hardware, systems, validation, and software teams.…See more The role emphasizes technical leadership, ownership of large technical areas, and raising team quality through example while leveraging modern development tools and automation. Strong hands-on experience with RTOS concepts, C/C++, low-level system software, and embedded development is required.

Qualcomm seeks a Principal Engineer to lead the architecture, design, and development of XR platform software (AR/VR/MR) on Snapdragon platforms. The role requires deep expertise in C++, heterogeneous computing (CPUs, GPUs, DSPs, AI accelerators), Android/Linux embedded systems, and system-level performance optimization.…See more Responsibilities include defining platform requirements, conducting architecture trade-offs for power/latency/performance, collaborating with computer vision and AI/ML teams, and driving technical decisions across multiple product areas. The ideal candidate brings commercial product experience and expertise in computer vision, graphics, SLAM, sensor fusion, or XR frameworks.