python jobs in San Diego

Lead complex debugging and root-cause analysis of system-level issues in high-performance Linux environments, spanning hardware, firmware, OS, and networking layers. Design and optimize high-throughput, low-latency data transport protocols, leveraging deep expertise in Linux kernel development, InfiniBand/Ethernet networking (RDMA, RoCE), and bare-metal/virtualized systems.…See more Partner with cross-functional teams to prototype, benchmark, and productionize platform enhancements while mentoring engineers through design and code reviews. Conduct research initiatives and proof-of-concepts to validate new technologies and influence platform roadmaps.

The MMIS Developer designs and develops software systems and analytics solutions for Scripps Health's supply chain operations, translating business requirements into technical implementations. The role involves maintaining critical databases, creating reports and Power BI dashboards, and supporting ongoing upgrades and troubleshooting of department systems.…See more Required skills include strong analytical thinking, project management, and proficiency in SQL Server; preferred experience includes VBA, Python, Snowflake, Power BI, Lawson ERP, and Epic systems. This position requires business acumen in supply chain analytics and the ability to work both independently and collaboratively.

Software engineer responsible for building and integrating applications across laboratory systems, data pipelines, and enterprise platforms in an oncology context. The role emphasizes full-stack development (Python/Django/Flask backend, JavaScript/TypeScript frontend), cloud deployment on AWS, CI/CD and containerization practices, and increasingly AI-enabled capabilities such as LLM-powered data access and agentic workflows.…See more Requires 4+ years of professional software engineering experience, strong collaboration with scientific and operational stakeholders, and ownership of application reliability, documentation, and lifecycle planning.

Lead verification and validation for cloud-connected medical device systems, designing and executing comprehensive test plans while developing and maintaining automated test frameworks in Python. Test Microsoft Azure cloud applications, APIs, and infrastructure alongside embedded software validation in regulated medical environments.…See more Support CI/CD pipelines, perform functional/integration/system/performance testing, analyze defects, and mentor other test engineers while contributing hands-on technical work.

Senior Firmware Engineer responsible for developing and optimizing low-level embedded C++ software for avionics systems, flight controllers, and mission payloads. The role involves porting frameworks to new RTOSes and hardware platforms, creating BSPs and HALs, designing peripheral drivers (I2C, SPI, UART, ADC, wireless protocols), and conducting safety-critical testing including MISRA C compliance.…See more Requires 5+ years of embedded systems experience, strong Linux/Windows proficiency, Python/Bash scripting, and ability to diagnose cross-domain issues across electromechanical, software, networking, and RF subsystems.

Design and optimize Network-on-Chip (NoC) architectures for high-performance Qualcomm SoCs with focus on physical implementation and PPA (power, performance, area) goals. Responsibilities include floorplan-driven architecture design, physical-aware synthesis strategies, clock tree planning, power analysis, timing closure, and custom placement/routing techniques.…See more Requires deep expertise in ASIC physical design, NoC protocols (AMBA, cache coherency), and scripting in Python, Perl, TCL, and C to analyze and optimize latency, area, performance, and power metrics.

The Enterprise AI FinOps Lead establishes financial governance for company-wide AI usage across multi-cloud (Azure, AWS, GCP), SaaS, and on-premise environments. The role owns cost visibility, show-back, optimization, budgeting, forecasting, and stakeholder engagement, with deep responsibility for AI-specific cost drivers such as tokens, models, prompts, embeddings, and RAG systems.…See more The leader translates telemetry into actionable insights, optimization programs, and executive reporting while managing the full departmental budget. This is a hands-on operator role requiring 8+ years in FinOps, cloud cost management, or enterprise finance, with strong analytical, stakeholder management, and executive communication skills.

Northrop Grumman seeks an experienced Software Engineer to support development of Strategic Operating Units in their Aeronautics Systems sector. The role involves software design, development, test, and integration across flight, mission, lab, and tools software using multiple programming languages (C, C++, Python, PowerShell, Bash) and real-time operating systems (VxWorks, Integrity, Real Time Embedded Linux).…See more Responsibilities include contributing to safety-critical embedded real-time software development, supporting all phases of the software development life cycle, and applying DevOps expertise including CI/CD, change management, and code analysis tools. An active Secret clearance is required to start.

Engineer Software Quality at Northrop Grumman will collaborate with program and engineering management to establish and monitor quality standards, witness software qualification and system acceptance tests, and ensure compliance with contractual and AS9100D requirements. The role involves assessing supplier capability, performing process evaluation audits, reviewing engineering artifacts for consistency, and tracking software anomalies to closure.…See more Responsibilities include metrics collection and reporting, traceability assessment from source code to system requirements, and corrective action oversight. The candidate must hold or obtain a DoD Secret clearance and demonstrate knowledge of Agile processes, C#/C++, Python, process monitoring, and software code review.

Qualcomm's Location Technology team seeks a Senior Engineer to validate and commercialize next-generation positioning solutions (GNSS, Assisted GNSS, cellular, Wi-Fi, sensor fusion) across mobile, automotive, wearables, XR, and IoT platforms. The role focuses on system-level test strategy development, log/trace analysis, and root-cause debugging of complex multi-sensor location systems.…See more A key expectation is building automation tools, data-analysis pipelines, and AI-assisted workflows to accelerate test development, log analysis, KPI evaluation, and reporting. The candidate will collaborate with systems, software, algorithms, and product teams to drive feature commercialization and continuous engineering productivity improvements.

Design and architect AI/ML platforms optimized for Qualcomm's hardware (GPU/NPU) and software stack, with focus on end-to-end performance analysis, algorithm tuning, and system bottleneck reduction. Analyze ML workloads across Computer Vision, Audio, Generative AI, and Agentic AI domains; correlate device performance against pre-silicon predictions; and develop reference implementations and tools for third-party developers.…See more Requires 15+ years in high-performance computing systems engineering or software with 5+ years in AI system optimization, strong expertise in AI frameworks and performance profiling, and ability to lead cross-functional teams and articulate complex technical concepts.

Senior Staff engineer responsible for automotive software testing, focusing on functional safety and AI infrastructure for Snapdragon Digital Chassis platforms (telematics, digital cockpit, ADAS, autonomy). Will design and execute manual and automated test plans across embedded systems, multimedia, computer vision, and AI/neural network components using HIL/SIL methodologies.…See more Requires 6+ years of systems test engineering with deep expertise in test automation (C/C++, Python), Linux/QNX/Android kernels, and preferably automotive domain experience with AUTOSAR fundamentals.

Senior Staff Engineer role focused on developing next-generation automotive telematics platform software at Qualcomm. Responsibilities include architecting platform security (mandatory access control, verified boot, disk encryption), leading boot-time and memory optimization efforts, designing fusion configurations integrating application processors with cellular modems, planning kernel and Yocto upgrade roadmaps, and ensuring automotive software compliance.…See more The role requires 6+ years of software engineering experience with deep expertise in embedded Linux, kernel development, bootloaders, Yocto build systems, automotive cybersecurity standards, and cross-team technical leadership.

Principal Engineer leading the design, build, and operation of an enterprise data platform serving 50+ source systems across R&D, manufacturing, supply chain, and business functions. Responsible for hands-on architecture of medallion-layer pipelines using Microsoft Fabric, technical leadership and mentorship of data engineers, vendor management, data governance implementation, and platform reliability—balancing feature delivery with security, compliance (GxP), and operational excellence in a regulated biopharmaceutical environment.See more

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).

As a Senior Software Engineer at Qualcomm, you will design, develop, and optimize software solutions for next-generation ARM-based data center platforms, with a focus on Linux Kernel development in areas such as virtualization (KVM), scheduling, and memory management. You will lead a team of engineers, collaborate with cross-functional teams, and contribute to upstream open-source projects.…See more The role requires expertise in C/C++, Linux Kernel internals, ARMv8/ARMv9 architecture, and experience with debugging tools like JTAG and development on FPGA/QEMU platforms.

Senior Embedded Software Engineer at Qualcomm's Data Center Business Unit designing and developing firmware and software solutions for cloud edge and data center ML workloads on high-performance silicon. The role requires deep expertise in embedded software (BSP, device drivers, RTOS, secure boot, TrustZone) and low-level C programming, with hands-on experience in board bring-up, debug tools (JTAG/SWD), and SoC architecture.…See more The candidate will work on critical technologies including ML acceleration, memory management, virtualization, and DMA-based data movement, collaborating across internal and cross-functional teams.

Senior Software Engineer who will drive Linux innovation for Qualcomm's next-generation server-class CPUs by building and optimizing Linux distribution support, infrastructure, and CI/CD automation. Responsibilities include bringing up Linux kernel and userspace on new server-class hardware, implementing build and packaging workflows, debugging platform issues, and supporting upstream readiness for major Linux distributions.…See more The role requires proficiency in C, C++, Python, and Bash, with deep experience in enterprise Linux distributions (RHEL, Ubuntu, Fedora, Debian), packaging systems (RPM, Debian), and CI/CD tools (GitHub Actions, Jenkins). The engineer will collaborate across hardware, firmware, and open-source communities while working with moderate autonomy under supervision.

As a Qualcomm Software Engineering Intern, you'll develop and maintain software for wireless devices alongside world-class engineers. You'll apply your computer science or engineering degree to the full software development life cycle, working on Qualcomm's diverse software technologies.…See more The role requires 1+ years of programming experience in C, C++, or Python, with preferred skills in object-oriented design, distributed systems, networking protocols, and multi-threaded/multi-core programming. You must be available for 11–14 weeks during Summer 2027 and have an expected graduation date of November 2027 or later.

Embedded software engineer role focused on mobile chipset development within Qualcomm's Core Platform group. Responsibilities include designing and implementing build system software, integrating drivers and peripheral software, debugging system-level issues, and collaborating with hardware and systems engineering teams to meet power and performance targets.…See more Required skills include embedded C/C++/assembly development, real-time operating systems, device drivers, build systems (SCons), JTAG debugging, and scripting languages.

Design, develop, and test display drivers and software components for Qualcomm Snapdragon chipsets, focusing on acceleration of video, camera, and GPU processing through the Display Processing Unit (DPU). Work with embedded software techniques including memory management, DMA acceleration, interrupt handlers, multi-threading, and API design to deliver drivers for Android, Windows, Zephyr, and Linux.…See more Write production code primarily in C/C++ with scripting in Python, collaborating across global teams on next-generation consumer devices.

A DevOps engineer will bridge Plasma Control Systems (PCS) developers and infrastructure operations at a fusion research facility, managing high-availability Proxmox VE virtualization clusters, architecting Ansible-based Infrastructure-as-Code templates, administering CI/CD pipelines, and executing rapid-response patch management and security deployments to meet DOE 48-hour SLAs. The role requires 9+ years of experience with Linux system administration (including real-time OS variants), containerization (Docker), configuration management (Ansible), CI/CD tooling (Jenkins, Travis CI, Circle CI), and scripting (Bash, Python, JavaScript), plus familiarity with DOE/NIST cybersecurity frameworks and ATO compliance in regulated research environments.See more

Lead system-level design, integration, and validation of AI/GPU and database infrastructure platforms spanning compute, storage, networking, power, and thermal domains. Drive datacenter power architecture, thermal strategies, platform manufacturability, and cross-functional root-cause analysis across hardware, firmware, and systems engineering.…See more Develop validation tools in Python, Bash, or C, and influence platform architecture through technical insight on emerging infrastructure technologies. This is a broad systems engineering role requiring strong judgment operating across multiple engineering disciplines in enterprise and hyperscale environments.

Lead a Reliability Platform Engineering team at Affirm responsible for building observability, risk management, and operational intelligence systems that help engineers manage production reliability at scale. You'll translate operational challenges into technical requirements, develop scalable reliability capabilities leveraging AI and automation, and drive alignment across Platform Engineering, SRE, Infrastructure, and product teams.…See more The role requires 7+ years of backend/full-stack engineering experience with 2+ years of engineering leadership, deep expertise with observability tools and SRE practices, and strong programming skills in Python, Kotlin, Java, or similar languages.

Qualcomm seeks a Machine Learning Engineer to design, develop, and deploy generative AI solutions focused on Large Language Models, Retrieval-Augmented Generation (RAG), and intelligent agent systems. The role involves implementing RAG-based solutions, optimizing LLM fine-tuning strategies, building evaluation frameworks, and maintaining agentic workflows for autonomous AI systems.…See more The candidate must have strong Python programming skills, practical LLM deployment experience, and familiarity with ML frameworks like PyTorch and TensorFlow, alongside knowledge of vector databases, cloud platforms (AWS, GCP, Azure), and modern MLOps infrastructure.