Software Gigs

SAIC seeks a Cloud DevOps Engineer to design, build, and operate mission-critical cloud infrastructure on AWS and Kubernetes/OpenShift platforms in support of Naval Operational Architecture. The role combines infrastructure-as-code (CloudFormation, YAML), container orchestration, Linux/Windows server administration, networking, scripting (Bash, Python, PowerShell), and cybersecurity hardening (STIGs, ACAS). You will work across cyber, networking, and development teams to deliver resilient, secure, and highly available cloud environments while maintaining compliance and system uptime.

BAE Systems seeks a Software Engineering Intern III for Summer 2027 to develop new code, resolve critical problems, and improve system stability within the Electronic Systems division. The intern will work alongside experienced engineers on real-world aerospace and defense projects, gaining hands-on experience with modern software architectures, frameworks, and databases. Required skills include proficiency in Java, C++, C#, Python, or JavaScript, along with knowledge of data structures and object-oriented programming. The role offers exposure to cloud platforms (AWS, Azure), containerization (Kubernetes, Docker), frontend frameworks (React, Angular), backend tools (Spring, Gradle), and various databases (SQL, NoSQL).

Staff Software Engineer at Illumina's Primary Analysis team designing high-performance signal processing pipelines for genomic data analysis. The role involves architecting C/C++ software for multi-threaded, memory-optimized Linux applications that detect genomic signals from images, with responsibilities including algorithm development, performance optimization, debugging, and collaboration across bioinformatics, instrument design, and quality teams. Requires 8+ years of professional software development experience, deep expertise in C/C++, multi-threading, memory management, and debugging/profiling tools, plus strong object-oriented design and unit testing practices.

Lead Systems Engineer to support government sponsors in architecting, analyzing, and integrating complex mission and enterprise systems. The role focuses on applying Model-Based Systems Engineering (MBSE), executable MBSE, architecture analysis, and digital engineering methods to develop system architectures and inform acquisition decisions. Responsibilities include modeling complex systems using standards-based frameworks (UAF, SysML, UML), developing executable models for verification and validation, designing prototypes and dashboards in Java and Python, applying industry standards (MOSA, OMS, UCI, FACE), and advising government sponsors on architecture strategies and digital transformation. The position requires 8+ years of systems/aerospace engineering experience (or equivalent with advanced degrees) and includes mentoring junior engineers.

Staff-level cloud software engineer responsible for building and operating Intuit's edge, CDN, and WAF infrastructure at scale. Design self-service platforms and APIs for CDN/WAF onboarding, DNS, and certificate lifecycle management. Engineer edge security policies (Akamai, AWS WAFv2), troubleshoot packet-path connectivity, and automate compliance and cost operations. Direct AI agents to build and operate infrastructure faster while providing 24x7 incident response and mentoring engineers on automation patterns.

The Algorithm Software Engineer will design, develop, and deploy signal processing applications on custom Leidos SoCs, porting algorithms from MATLAB/Python/C++ to optimized C code for real-time, massively parallelized execution. Responsibilities include hardware-software co-design, DSP optimization leveraging SIMD/VLIW/accelerators, Hardware-in-the-loop testing, and collaboration across signal processing, embedded, RF, and systems engineering teams. The role requires 8+ years of C/C++ embedded systems development, strong signal processing fundamentals, and experience translating research algorithms into production real-time systems.

Design, develop, and validate embedded software and device drivers for cutting-edge Qualcomm products including smartphones, IoT devices, and mobile platforms. Collaborate with hardware, systems, and test engineers to implement software modules, perform debugging and code reviews, and ensure quality through regression testing. Work independently on complex embedded systems projects involving power management, ARM architecture integration, and performance optimization while documenting technical solutions.

This role focuses on system-level testing and validation of Qualcomm's leading-edge SoC products (Snapdragon, mobile, compute, automotive, server chipsets). The engineer will conduct early-stage silicon bring-up, post-silicon validation, and develop automated test content to stress systems across functional, performance, stability, and benchmark dimensions under various operating conditions. Responsibilities include hardware characterization, software integration testing, creation of production screens, and collaboration with IC design and development teams. The position requires proficiency in embedded systems, SoC testing concepts, test case development, lab instrumentation, and programming in C/C++, Python, or C#.

Senior Software Engineer role developing virtualization infrastructure for Navy anti-submarine warfare training systems. Responsibilities include designing and deploying virtualized Linux environments using KVM and Open vSwitch, migrating hardware-based solutions to scalable virtualized platforms, developing Python automation scripts and Ansible configurations, and troubleshooting complex networking and systems issues in DoD training environments. Requires strong Linux systems engineering expertise, virtualization proficiency, and deep understanding of low-level networking in mission-critical contexts.

The Applied AI Engineer develops, deploys, and maintains generative AI solutions for insurance products and internal workflows. The role involves implementing end-to-end AI pipelines using AWS services (SageMaker, Lambda, ECS/EKS, S3), building feature engineering workflows in Snowflake, and collaborating with cloud and MLOps teams. Candidates need 3+ years of AI/ML engineering experience with 1–2 years focused on generative AI or LLMs, proficiency in Python and frameworks like PyTorch or Hugging Face Transformers, and hands-on cloud deployment experience. The position requires monitoring model performance, ensuring security and compliance, and supporting AI architecture reviews.

The System Test Engineer - Autonomy will coordinate data validation workflows, manage mapping datasets, and track issues for an autonomous vehicle platform. Responsibilities include executing weekly validation processes, maintaining data quality audits, monitoring metrics, and automating workflows with Python scripts. The role requires 1+ years of systems testing or data operations experience, proficiency in Python, and familiarity with issue tracking tools like Jira. This position supports engineering teams in keeping autonomous driving systems ready for testing and deployment.

Design and build large-scale multimodal foundation models that integrate high-dimensional biomedical imaging with molecular and language data. You will implement cross-domain data fusion strategies, develop high-performance ML pipelines for petabyte-scale datasets, and collaborate with scientists and engineers to translate biological complexity into scalable, production-ready code. The role requires deep expertise in Computer Vision architectures, distributed training frameworks, and expert Python proficiency. You will contribute through high-impact publications or open-source work and demonstrated ability to handle the noise and sparsity inherent in biological data.

Qualcomm is hiring Sr. Staff and Principal Engineers to develop low-level software for custom CPUs, focusing on Linux kernel, boot firmware, and platform optimization. The role requires deep expertise in computer architecture, C/assembly programming, and systems-level software development across pre-silicon and hardware environments. You will collaborate with hardware and software teams to optimize performance, ensure OS efficiency, and enable new architectural features while working independently on multi-faceted technical challenges.

Qualcomm seeks a Machine Learning R&D leader to design and deliver Agentic AI systems for hardware design automation. The role combines hands-on technical execution with team leadership, requiring deep expertise in generative AI, large language models, and ML/AI product development. Responsibilities include architecting end-to-end ML solutions, coaching an interdisciplinary team of researchers and engineers, and bridging research prototypes into production design tools. The ideal candidate brings PhD-level credentials, 2+ years of industry ML/GenAI experience, and proven expertise in agentic AI frameworks, foundation models, and complex ML software pipelines.

As a CPU Power Management Firmware Developer, you will design, implement, and verify embedded firmware for power and performance management across Qualcomm's custom CPU subsystems and SoCs. You'll collaborate with hardware power management and firmware teams to define and implement solutions, working in both pre-silicon and post-silicon environments. The role requires 6+ years of software engineering experience with proficiency in C/C++, embedded systems, and RTOS/OS kernel development, plus demonstrated experience with embedded operating systems and ARM architecture.

Qualcomm seeks a Sr. Staff/Principal Software Engineer to provide system-level technical leadership for next-generation ARM server platforms, spanning Linux kernel, firmware, and platform software. The role requires architecting across hardware, firmware, OS, and hypervisor boundaries using standards like ACPI, UEFI, SystemReady, SBSA/SBBR, and PSCI. Responsibilities include Linux kernel enablement, performance optimization, platform driver development, and guiding boot flows, power management, virtualization, and telemetry. This position demands 10+ years of hands-on Linux kernel development, deep C/assembly proficiency, firmware and pre/post-silicon debug experience, and the ability to mentor senior engineers while influencing SoC roadmaps.

Lead Veracyte's Quality Engineering Platform team as Manager of Software Test Automation, defining quality strategy and building scalable automation frameworks that enable product teams to own software quality. Manage a team of SDETs, Automation Engineers, and Quality Platform Engineers to develop self-service testing platforms, reusable automation libraries, and AI-assisted quality tools supporting unit, integration, API, UI, end-to-end, regression, performance, security, and compliance testing. Establish modern engineering practices, quality standards, and reference architectures across the organization while fostering a culture of innovation and continuous improvement. Drive Veracyte's strategy for AI throughout the software testing lifecycle, including automated test generation, regression analysis, defect classification, and synthetic test data creation.

This intermediate-level role develops AI-enhanced decision systems for government sponsors, applying machine learning, large language models, and decision science to mission-critical problems. You will design, prototype, and evaluate AI solutions in cross-functional teams, lead R&D initiatives, and work hands-on with modern AI techniques including deep learning, reinforcement learning, generative AI, and multi-agent systems. The role requires 2+ years of hands-on ML experience (or 1 year with a Master's degree) and proficiency in Python and/or C++, with the ability to communicate complex technical concepts to both technical and non-technical audiences.

Senior Network Engineer with 8+ years of experience designing, implementing, and managing cloud networking solutions across AWS and Azure, including VPCs, hybrid connectivity, and cloud-native security controls. The role involves hands-on enterprise network infrastructure work with Cisco, Meraki, and Palo Alto technologies, along with network automation using Python and Ansible. Responsibilities include troubleshooting complex network and security issues, optimizing performance using monitoring tools like ThousandEyes and Splunk, and managing identity/access controls via Cisco ISE.

Design and develop software applications that orchestrate complex automated laboratory workflows and closed-loop learning systems for biotherapeutics discovery. Build data pipelines, visualization tools, and machine learning models for visual inspection, predictive maintenance, and process optimization. Create digital lab infrastructure including IoT integrations, digital lab twins, and telemetry monitoring. Requires a Ph.D. in Computer Science, Software Engineering, or Bioengineering with 3+ years of industry experience, or equivalent education with more experience; strong proficiency in Python, SQL, JavaScript, and DevOps practices; and familiarity with lab data platforms and autonomous systems.

Design and optimize video analysis, quality assessment, and encoding algorithms for hardware-accelerated video codec solutions (FPGA/ASIC). Develop C-models and firmware for real-time video processing, implementing algorithms for ROI detection, content understanding, frame-level rate control, and objective quality metrics. Collaborate with infrastructure and platform teams to integrate algorithms into production VOD and live-streaming workflows, validate performance through A/B testing, and optimize end-to-end video quality. The role requires strong programming skills in C/C++ or Python, knowledge of video quality standards (VMAF, PSNR, SSIM), and ideally experience with deep learning frameworks, video codecs, or embedded real-time systems.

Staff-level cloud software engineer responsible for building and operating Intuit's edge, CDN, and WAF infrastructure protecting ~100M customers. Design and automate self-service platforms for CDN/WAF onboarding, edge security policies, DNS, and certificate lifecycle management across Akamai and AWS. Engineer APIs, UIs, and infrastructure-as-code solutions; troubleshoot the full packet path; and direct AI agents to scale operations. Provide 24x7 incident response and mentor engineers on networking, security, and cloud platform best practices.

This role develops and integrates device platforms with cloud management systems for wireless edge and IoT devices across Tier-1 carrier networks. The engineer will build middleware, APIs, and services; implement device management protocols (TR-069, TR-369/USP, SNMP); perform provisioning, telemetry ingestion, and firmware-over-the-air updates; and conduct end-to-end integration testing in lab environments simulating real-world conditions. The position requires proficiency in C/C++, Go, or Python on embedded and Linux systems, strong protocol debugging skills (Wireshark, GDB), and hands-on experience with cellular networking standards, REST/gRPC APIs, and remote device management. Success demands close collaboration across distributed teams, carrier certification support, and the ability to troubleshoot complex hardware-software-network integration issues independently.

Software Engineer I at Fuse will develop embedded communications, networking, and computing solutions for U.S. defense agencies. The role involves contributing to the full software development lifecycle—from kernel to UI—including design, implementation, testing, code review, and security integration across airborne, maritime, and ground platforms. The ideal candidate holds a BS in Computer Science and has academic or professional experience with strongly typed languages (C/C++, Java, C#, Rust, Go, or Zig), design patterns, and agile development practices. Nice-to-have skills include Linux/DevOps, Python/Bash scripting, networking protocols, CI/CD, build systems, React/web stacks, and containerization.

Senior Software QA Engineer to own system testing for Firestorm's avionics platform—embedded Linux and RTOS flight computers, board support packages, device drivers, and safety-critical data paths. You will design and execute risk-based test strategies (feature/bring-up, exploratory, regression, acceptance) and build automation across HIL/SIL rigs exercising real buses (CAN/CAN-FD, UART, SPI, I²C, Ethernet) and links (MAVLink, Tactical Data Links) under fault conditions. You will instrument diagnostics, triage defects, and harden robustness for timing, jitter, packet loss, brownouts, and recovery paths before Flight Test. This is a full-time onsite role in San Diego requiring hands-on bench work with flight computers, power systems, radios, and sensors.