Software Gigs

As a Systems Engineer, you will troubleshoot complex mechanical, electrical, and software issues in advanced 3D printing (ECAM) systems, identify root causes, and develop solutions to improve printer fleet performance. You'll analyze manufacturing and quality data to drive continuous improvement, apply structured problem-solving methodologies (8D, 5 Whys, Fishbone), and support corrective and preventive actions (CAPA). You'll partner across mechanical, electrical, and software engineering teams to ensure system integration, develop technical documentation and SOPs, and execute functional test plans. The role requires hands-on troubleshooting of electromechanical systems, knowledge of quality tools and methodologies, and CAD expertise.

Junior AI Software Developer supporting Navy cybersecurity and mission operations in San Diego. You will participate in problem discovery with mission stakeholders, contribute to technical solution design, and deliver hands-on implementation of scripts, APIs, automation, and AI/LLM-enabled workflows. Work involves integrating systems via REST/HTTP APIs, writing and testing Python code, using version control, and documenting technical solutions for both technical and non-technical audiences while adhering to RMF, security controls, and responsible AI practices in classified or controlled environments.

Senior AI Software Developer who will design, implement, and integrate AI/LLM-enabled solutions and automation for Navy cybersecurity and mission workflows. You'll work in small, multidisciplinary teams translating mission requirements into technical approaches, delivering hands-on code (Python, APIs, data integration), and ensuring solutions align with RMF, security controls, and compliance boundaries. The role blends advisory conversations with focused implementation of secure, deployable systems that reduce cyber risk and improve operational efficiency. Success requires 4+ years of software development or integration experience, Python proficiency, API and data store expertise, cloud or enterprise deployment knowledge, and ability to communicate across technical and non-technical stakeholders.

As a client-facing data analyst, you'll work with Department of the Navy clients to understand their data needs, transform complex structured and unstructured data into actionable insights, and advise on how findings impact DoD acquisition programs and IT modernization. You'll use tools like Tableau, Python, R, or SQL for data manipulation; Databricks or Spark for data engineering; and Power Apps/Power Automate for automation. You must hold or be able to obtain a Secret clearance and have 4+ years of DoD client experience.

Qualcomm Cloud AI team seeks a Linux device driver engineer to develop and extend Linux kernel driver code for QCR-100 accelerators and related products that handle image reprocessing and AI workloads. The role focuses on PCIe device setup, firmware loading, MHI bus, DMABUF importation, and DMA transfers. Required expertise includes Linux kernel driver development, C programming, git, and low-level debugging. Desirable experience includes PCIe stack knowledge, DMA/IOMMU understanding, DEB/RPM packaging, and embedded Linux systems connected via PCIe.

Senior individual contributor responsible for end-to-end demand forecasting across Intuit's Global Business Solutions Group portfolio. Build and maintain predictive models incorporating time-series analysis, regression, causal inference, and ML techniques to translate business signals into accurate, decision-ready demand forecasts at multiple granularities. Conduct A/B/n experiments to validate modeling choices, quantify forecast risk through scenario analysis, and act as trusted partner between technical teams and business stakeholders (Workforce Management, Capacity Planning, Finance, Marketing, Product) to ensure forecasts drive downstream capacity and expense planning. Continuously advance forecasting methodology, evaluate where AI/ML meaningfully improves accuracy, and support real-time in-season re-forecasting and analytics.

Design, implement, and maintain secure DevSecOps automation frameworks and CI/CD pipelines across hybrid infrastructure, cloud, and application platforms. Develop Infrastructure as Code using Terraform, Ansible, ARM/Bicep, PowerShell, and Python to automate provisioning, configuration management, patching, and vulnerability remediation across Windows, Linux, VMware, and Azure environments. Integrate security controls into deployment pipelines including vulnerability scanning, secrets detection, code scanning, and policy enforcement aligned with FFIEC, NCUA, CIS, and NIST standards. Partner across Infrastructure, Security, and Application Development teams to advance DevSecOps practices, container engineering, and secure cloud governance.

Staff-level frontend engineer leading the Identity team to build next-generation authentication systems across MailChimp and QuickBooks. You will architect and develop Kubernetes-based services, design hosted authoring and administrative UIs, mentor engineers, and drive technical decisions across the full SDLC. Requires 8+ years building enterprise cloud-native applications, strong React/JavaScript and Python skills, microservices and API design expertise (REST, GraphQL), and proven leadership in cross-functional environments.

An AI Software Developer at Booz Allen Hamilton will design, implement, and integrate AI-enabled automation and analytics solutions for Navy cybersecurity and mission workflows. The role requires hands-on Python development, API integration, and secure system design in classified or controlled environments, with close collaboration between cybersecurity specialists, engineers, and mission stakeholders. Success demands translating mission requirements into technical tasks, delivering credible implementations (not slide-only recommendations), and operating within RMF, compliance, and secure engineering practices. The ideal candidate combines software engineering rigor (version control, code review, testing) with AI/LLM experience and the ability to work in small, structured teams on multidisciplinary problem-solving.

As a Sr. Staff Software Engineer on Qualcomm's AI Software team, you will design and develop the Qualcomm AI Runtime (QAIRT) SDK for IoT platforms, enabling efficient execution of deep neural networks, LLMs, and modern AI architectures. You will lead feature development, mentor junior engineers, and collaborate across cross-functional teams to deliver scalable AI software solutions. The role requires 8+ years of software development experience with strong C/C++ and Linux proficiency, hands-on technical leadership, and the ability to keep pace with rapid industry and academic advances in machine learning and software engineering.

Design, develop, and optimize embedded software stacks for complex SoCs with multiple core types, memory hierarchies, and bus infrastructure at Qualcomm. Lead architectural decisions for Edge AI and multimedia use cases, balancing performance and power efficiency while creating SDKs for customer development. Collaborate with systems, hardware, and test engineers to define software architecture and drive optimization for ARM CPU and NPU acceleration. Requires 6+ years of software engineering experience (or 5+ with a Master's degree, 4+ with a PhD) and 3+ years with languages like C, C++, Java, or Python.

Senior Staff Software Engineer role at Qualcomm focused on power and thermal management for next-generation ARM-based data-center server platforms. You will analyze system-level use cases, optimize DVFS and power-limiting mechanisms, develop algorithms to reduce power consumption, and perform system-level optimizations using hardware and software techniques. The role requires 6+ years of software engineering experience (or equivalent with advanced degree), 3+ years with C, C++, Java, or Python, and preferred expertise in power/performance measurement, ARM architecture, SoC design, Linux, real-time operating systems, and device drivers.

As a Mission Software Engineer, you will own software solutions deployed to autonomous systems customers, developing capabilities across networking, autonomy, systems integration, and robotics. You'll troubleshoot live deployments, create performance metrics for debugging, and collaborate with multidisciplinary teams and end-users to translate operational needs into mission-ready features. The role requires 3+ years of C++, Python, or Rust experience in Linux environments, with a strong engineering background and ability to navigate complex codebases quickly. You must be a U.S. citizen eligible for security clearance and based in or willing to relocate to San Diego.

Develop bare-metal firmware and low-level device drivers for Qualcomm reference platforms, focusing on hardware bring-up, validation, and early platform enablement. Work directly with hardware and silicon teams to debug SoC peripherals, implement test firmware, and resolve hardware/software integration issues using lab instrumentation and debug tools. Design and maintain register-level software for a wide range of integrated peripherals including memory, displays, cameras, RF transceivers, and communication interfaces. Requires deep expertise in embedded systems, processor architectures, and hardware protocols with strong problem-solving and cross-functional collaboration skills.

Senior Software Engineer/Research Scientist applying advanced mathematical and algorithmic expertise to defense technology development. Responsibilities include algorithm development in probability, statistics, estimation theory, machine learning, and optimization; designing and maintaining C++ software applications in Linux environments; prototyping AI/ML solutions in MATLAB, Python, and TensorFlow; and managing DevOps workflows using GitLab, Docker, and Podman. Requires 10+ years of engineering experience, a B.S. in engineering/mathematics, and ability to obtain a DoD Secret clearance.

Senior software development engineer leading a small team on AWS EC2 VPC's packet pipeline, which processes millions of packets per second across a global fleet. The role requires deep expertise in C/C++ systems programming, kernel/embedded development, and ultra-high-performance optimization including hand assembly and vectorization. Responsibilities include architecture decisions, mentoring junior engineers, design/code reviews, and communicating technical strategy with cross-functional teams and leadership.

Lead Software Engineer managing a team of cloud engineers with technical mentorship, career guidance, and performance management responsibilities. The role involves defining and executing a cloud technical roadmap aligned with business goals, architecting high-availability and scalable systems on Google Cloud Platform, and supporting machine learning workloads and data ingestion at scale. Requires 10+ years of software engineering experience, 3+ years in cloud architecture or distributed systems, and 3+ years of technical leadership.

Whova seeks full-time Software Engineers to build scalable front-end and backend services for a global event platform serving over a million users. You will design and deploy high-availability backend services or build mobile and web applications, write unit tests and automation, and translate product requirements into technical solutions. You'll be paired with a senior engineer for structured onboarding and expected to deliver results on schedule while maintaining code quality.

Design and implement software integrations connecting lab automation infrastructure (liquid handlers, plate readers, robotic workstations, analytical instruments) with orchestration layers and digital workflows. Build production-grade Python applications and containerized services using Docker and Kubernetes, deploy CI/CD pipelines, and maintain LIMS integrations. Explore AI-driven decision-making and autonomous orchestration capabilities, staying current with LLM tooling and agent frameworks. Provide technical leadership and mentorship to the automation engineering team while shaping the roadmap for closed-loop autonomous discovery systems.

Lead the design and development of Mailchimp.com's front-end platform, architecting performant, scalable web experiences that drive prospect conversion and business growth. Mentor a team of engineers, mentor technical staff, and serve as the technical subject matter expert for the DotCom team's hosted authoring environment, administrative UIs, and runtime application UI generation. Design and implement secure, reliable services using modern web technologies (JavaScript/React, Python, microservices, GraphQL) while collaborating with product, design, and architecture teams to align technical solutions with business goals. Lead functional requirements gathering, technical specifications, and solve complex programming and design problems across the full software development lifecycle.

Lead architecture, design, and development of XR platform software (AR/VR/MR) on Snapdragon platforms, working across system architecture, embedded software, graphics, AI/ML, and computer vision. Translate product requirements into implementation specifications, drive architectural trade-offs for performance and power efficiency, and provide technical leadership across multiple teams. Requires strong C++ proficiency, experience with heterogeneous computing systems (CPUs, GPUs, DSPs, AI accelerators), Android/Linux embedded platforms, and 8+ years of software engineering experience.

As an AI Software Engineer at Qualcomm, you will develop and optimize machine learning software for the Qualcomm AI Stack (QAIRT and Genie SDKs), enabling efficient execution of large language models and deep neural networks on Snapdragon platforms. You will validate and optimize performance of generative AI models, debug complex issues, and collaborate across teams to deliver robust AI solutions. The role requires strong software design, programming, and debugging skills, with expertise in machine learning frameworks, embedded systems optimization, and languages like Python or C++. You will work with minimal supervision, participate in design reviews, and contribute to a culture of technical excellence.

Design, build, and scale ETL/ELT pipelines and cloud data warehouse infrastructure using Python, SQL, and modern orchestration tools like Apache Airflow or Prefect. Own the end-to-end data infrastructure that powers business intelligence and operational reporting, including data quality checks, anomaly detection, and performance optimization. Collaborate with analytics and software engineering teams to define data modeling standards and maintain infrastructure-as-code deployments using Terraform and CI/CD. Requires 3–6 years of data engineering or backend development experience with advanced SQL, Python, and hands-on work with cloud data warehouses like Snowflake or BigQuery.

Seneca Resources seeks a senior Network Engineer to provide hands-on engineering and operational support for a secure, on-premises research and test network environment in San Diego. The role involves day-to-day troubleshooting and maintenance of routers and switches, multi-cloud connectivity across AWS and Azure, routing protocols (OSPF, BGP), IPsec tunneling, and network security hardening with STIG compliance. You will design and maintain NAC solutions, enterprise wireless infrastructure, and implement Zero Trust concepts like dynamic segmentation using tools such as HPE Aruba, Palo Alto, inMon Traffic Sentinel, and Zabbix. The position requires an Active Secret clearance, IAT Level II certification, a Master's degree in Computer Science or IT, and 10+ years of enterprise network engineering experience.

Senior Network Engineer to design, configure, and operate network infrastructure including switches, routers, and firewalls in support of the Joint Fires Network (JFN) program. Responsibilities include implementing SD-WAN solutions across sites and cloud environments, troubleshooting complex routing and switching issues, creating network security measures, and managing junior network engineers. Required: 10+ years networking experience (or equivalent with lower degree), 4 years CANES firewall/network engineering, CCNA certification, proficiency in Python and Ansible, and deep knowledge of Cisco QoS, dynamic routing protocols (EIGRP, BGP, OSPF, HSRP, NHRP, GRE, DMVPN), and SDN/SD-WAN technologies.