Software Gigs

Lead the architectural design of server-side, backend, and cloud platform capabilities supporting Dexcom's continuous glucose monitoring products. Collaborate across product, cybersecurity, firmware, data, and mobile teams to translate business and regulatory requirements into secure, scalable, and maintainable platform solutions. Establish architectural direction for distributed services, APIs, data pipelines, event-driven systems, and shared platform capabilities. Guide technology exploration, system integration, performance testing, and serve as an authority for platform architecture principles and modern backend development practices across the organization.

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.

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.

As a Product Software Engineer, you will develop and integrate software for Qualcomm products spanning smartphones, computing devices, automotive infotainment, and IoT systems. You will own software integration tasks including component integration, build automation, version control management, and baseline releases. You will perform sanity testing on-target and in simulation environments, debug failures using tools like JTAG and ADB, automate test scenarios, and collaborate with cross-functional engineering teams on design and code reviews.

Qualcomm seeks a Modem Software Engineer to design, develop, and maintain embedded software for wireless modem and broadband technologies. The role involves working on connectivity protocols, networking stacks, and platform software across mobile products, collaborating with cross-functional teams on design through validation. Responsibilities include debugging complex technical issues, conducting code reviews, performing kernel debugging, and supporting customer field issues. Required qualifications include a Bachelor's degree in Computer Engineering or related field; preferred skills include strong C/C++ programming, Linux embedded development, networking protocols (TCP/IP, IPv4/IPv6, Wi-Fi), and familiarity with CI/CD pipelines and Agile methodologies.

Lead technical delivery of complex autonomy capabilities for Shield AI's V-BAT and X-BAT unmanned aircraft platforms, spanning mission autonomy, payload integration, flight-control interfaces, and multi-agent behaviors. Own end-to-end integration from architecture through field deployment, coordinate across Aircraft, Autonomy Capabilities, Perception, and GCS teams, and drive mission readiness for customer releases. Mentor engineers, improve engineering practices, and serve as primary technical partner to the Aircraft team on integration approaches and interface design. Requires 7+ years of relevant experience, expert C++ and Linux development, and deep expertise in complex autonomy systems or embedded systems integration.

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.

Qualcomm seeks an Embedded Systems Software Engineer to design, develop, and maintain embedded networking software for wireless broadband and automotive telematics platforms. You will work across multiple middleware stacks (RDK-B, prplOS, OpenSync, OpenWRT, Linux Yocto) and collaborate with cross-functional teams on connectivity protocols, system services, and platform layers. Responsibilities include debugging complex technical issues, conducting code reviews, performing on-target and off-target Linux kernel debugging, and supporting field issues. The role requires strong C/C++ programming skills, solid understanding of networking fundamentals (TCP/IP, IPv4/IPv6, DHCP, DNS, Wi-Fi, VLAN), and experience with Linux-based embedded systems development.

Software Engineer I will research, design, and implement containerized web applications and services for the Department of Defense, with a focus on automating and orchestrating mission-critical systems for the U.S. Navy. Day-to-day work includes developing in Java, Groovy, Kotlin, or front-end frameworks; conducting manual and exploratory testing; maintaining test plans and traceability; and supporting CI/CD pipelines and container orchestration. The role requires a minimum of two years in software development, familiarity with Java or similar OOP languages, comfort in Linux environments, and experience with build tools like Gradle or Maven.

Software Engineer II will research, design, and implement containerized web applications and services for the Department of Defense, with a focus on automating, integrating, and delivering orchestrated systems for Navy warfighters. The role involves developing in Java, Groovy, Kotlin, or front-end frameworks; conducting manual and exploratory testing; maintaining test plans and traceability; and supporting CI/CD pipelines and container orchestration. Requires a minimum of five years of software development experience, familiarity with object-oriented programming languages, comfort with Linux environments, and experience with build tools like Gradle or Maven.

Design, build, and operate cloud-native platform features and services with hands-on engineering focused on Kubernetes, distributed systems, and infrastructure automation. Deliver well-defined work iteratively from implementation through production, contributing to reliability, scalability, and operability through testing, instrumentation, and on-call participation. Collaborate with senior engineers on platform standards while mentoring junior team members. Requires 5+ years of software development experience (or equivalent), production experience with Kubernetes, exposure to at least one major hyperscaler (AWS, Azure, GCP), and proficiency in Go or another systems language.

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.

Lead a small embedded Linux software team building mission-critical aerial systems and autonomous platforms for defense applications. You'll split your time between team management (standups, architecture reviews, task prioritization) and hands-on C/C++ development of Linux daemons, REST APIs, and system services. Design for real-time performance, security hardening, and field operability while collaborating across autonomy, avionics, mechanical, and electrical teams. Own the full software lifecycle from architecture and CI/CD pipelines to documentation and field diagnostics.

Software Engineer II will research, design, and implement technologies for automating, integrating, and delivering containerized web applications and services for the Department of Defense. The role involves designing and sustaining mission-critical software systems for U.S. Navy warfighters, developing in Java, Groovy, Kotlin, and front-end frameworks, and conducting manual and exploratory testing. Responsibilities include developing test plans, maintaining traceability to requirements, and supporting CI/CD pipelines and container orchestration. Requires 5+ years of software development experience, familiarity with OOP languages, comfort with Linux environments, and experience with build tools like Gradle or Maven.

Software Engineer I will research, design, and implement containerized web applications and services for the Department of Defense, focusing on mission-critical systems for Navy warfighters. Responsibilities include development in Java, Groovy, Kotlin, or front-end frameworks; manual and exploratory testing; test plan creation and requirement traceability; and CI/CD pipeline and container orchestration enhancements. The role requires 2+ years of software development experience, familiarity with OOP languages, Linux proficiency, and experience with build tools like Gradle or Maven.

Software Developer I/II at G2 Software Systems will perform full-cycle software engineering including planning, requirements analysis, design, development, integration, testing, and debugging of large-scale defense software systems. The role requires 3+ years of Java and JavaScript full-stack web development experience, proficiency with Agile processes, and hands-on use of Git/GitLab/Bitbucket, Jira, and Confluence in automated CI/CD environments. Candidates must be U.S. citizens able to obtain and maintain a DoD security clearance. This is a mission-critical position supporting DoD air defense, counter-drone, secure communications, logistics, and C4ISR operations.

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.

Qualcomm seeks an Embedded Systems Software Engineer to design, develop, and maintain embedded software for wireless broadband and automotive telematics platforms. You will work across networking and platform layers, debugging complex issues and collaborating with cross-functional teams on features spanning connectivity protocols, system services, and embedded software stacks. The role requires strong C/C++ programming, Linux expertise, and familiarity with networking fundamentals (TCP/IP, WiFi, etc.), with desirable experience in middleware platforms like RDK-B, OpenSync, and OpenWRT. You will participate in the full software lifecycle including design, coding, unit testing, integration, validation, and code reviews, while supporting customer issues and performing on-target and off-target Linux kernel debugging.

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. 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.

Design and implement ultra-high-performance packet processing software for AWS EC2's virtualized networking stack, handling encryption, firewalls, routing, and monitoring across 9M+ hosts. Own end-to-end development of features running on the EC2 Nitro System, from design through production deployment, optimizing for millions of packets per second on single CPU cores. Build secure, scalable monitoring and diagnostics services, and design hardware/software validation platforms enabling efficient CI/CD. Mentor junior engineers on systems architecture and maintainable code while collaborating cross-functionally to define requirements and improve development processes.

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.

Own and evolve infrastructure, deployment systems, and cloud environments powering Clinically AI's healthcare AI platform. Design and maintain GCP infrastructure with focus on GKE, Kubernetes, and secure multi-environment deployments; build Infrastructure-as-Code using Terraform and Helm charts; optimize CI/CD pipelines with GitHub Actions; implement observability, security best practices, and incident response. Work closely with Backend, AI, and Product teams to support scalable infrastructure for services, AI pipelines, and high-throughput workloads.

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.