Lead Software Engineer
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Key skills for this role
About the Role
Technology Innovation Institute is hiring a Lead Software Engineer to design and implement software for UAV flight control systems and mission computers. The role involves developing autonomy stacks, integrating ROS2, and ensuring security and reliability.
Key Skills for This Role
Responsibilities
- Integrate robotics applications on NVIDIA & Qualcomm IQ9 platforms for perception, planning, and navigation
- Develop and integrate ROS2 based nodes and middleware to support modular autonomy stacks
- Optimize GPU based AI/ML workloads for real time inference, sensor fusion, and decision making
- Implement secure application level network protocols (NATS, ACL, DDS, etc.) between robotic platforms and Ground Control Station applications
- Develop tools and APIs for efficient data exchange across mission critical components
- Support multi sensor integration (camera, LiDAR, GNSS, IMU) with ROS2 middleware
- Design and enforce cybersecurity measures for UAV autonomy software (secure boot, encrypted comms, sandboxing)
- Build CI/CD pipelines for deployment of ROS2 and AI workloads on NVIDIA Jetson and Qualcomm IQ9
- Implement telemetry, logging, and diagnostics for real time system monitoring
- Define and enforce best practices in software development lifecycle (SDLC) for autonomy stack
Requirements
- 10+ years of experience in robotics, autonomous systems, or safety critical UxV platform development, preferably in defense or aerospace environments
- Proficiency in real time embedded systems and Python for automation, AI/ML workflows, testing, and data pipelines
- Strong experience with ROS2, XRCE DDS, MAVLink, and modular autonomy stack architecture on NVIDIA Jetson and Qualcomm based mission computer platforms
- Hands on experience with Qualcomm SoC platform bring up, including BSP integration, Linux/Yocto environments, boot chain validation, peripheral enablement, driver integration, and platform debugging
- Understanding of Qualcomm security features, including secure boot, hardware root of trust, TEE, key provisioning, encrypted storage, anti rollback, secure debug control, and lifecycle state enforcement
- Experience with production security workflows, including fuse burning, root of trust provisioning, device identity, factory flashing, secure provisioning, and manufacturing test procedures
- Hands on experience with GPU, DSP, NPU, or AI accelerator based workloads for sensor fusion, real time inference, and SWaP constrained AI/ML deployment
- Experience implementing embedded cybersecurity measures, including encrypted communications, sandboxing, access control, threat modeling, secure OTA, and secure coding practices
- Familiarity with ISO 27001, DO 326A, DevOps/CI/CD, Git, Docker, Kubernetes, automated testing, and cross functional integration
- Strong English communication skills and ability to work with software, hardware, security, manufacturing, QA, and systems teams under pressure
Full Job Posting
Role Overview
- As an experienced Lead Engineer with expertise in flight control systems and companion compute platforms, your leading role will be in designing, implementing, and maintaining software solutions across NXP based PX4 flight controllers and Nvidia based and Qualcomm based mission computers.
- Lead engineer will take ownership in developing SW features and productization of the TII Secure Software Platform for large scale defense UxV mission computer applications.
Functional Activities
- Autonomy Software Development: Integrate robotics applications on NVIDIA & Qualcomm IQ9 platforms for perception, planning, and navigation.
- Develop and integrate ROS2 based nodes and middleware to support modular autonomy stacks.
- Optimize GPU based AI/ML workloads for real time inference, sensor fusion, and decision making.
- System Integration and Middleware: Experience implementing secure application level network protocols (NATS, ACL, DDS, etc.) between robotic platforms and Ground Control Station applications.
- Develop tools and APIs for efficient data exchange across mission critical components.
- Support multi sensor integration (camera, LiDAR, GNSS, IMU) with ROS2 middleware.
- Security and Reliability: Design and enforce cybersecurity measures for UAV autonomy software (secure boot, encrypted comms, sandboxing).
- Implement identity management and access control for mission software deployments.
- Conduct threat modeling, vulnerability assessments, and apply secure coding practices.
- Ensure compliance with aerospace cybersecurity frameworks (ISO 27001, DO 326A).
- Automation and DevOps: Build CI/CD pipelines for deployment of ROS2 and AI workloads on NVIDIA Jetson and Qualcomm IQ9.
- Use containerization (Docker) and orchestration tools for reproducible autonomous flight stacks.
Necessary Knowledge And Experience
- 10+ years of experience in robotics, autonomous systems, or safety critical UxV platform development, preferably in defense or aerospace environments.
- Proficiency in real time embedded systems and Python for automation, AI/ML workflows, testing, and data pipelines.
- Strong experience with ROS2, XRCE DDS, MAVLink, and modular autonomy stack architecture on NVIDIA Jetson and Qualcomm based mission computer platforms.
- Hands on experience with Qualcomm SoC platform bring up, including BSP integration, Linux/Yocto environments, boot chain validation, peripheral enablement, driver integration, and platform debugging.
- Understanding of Qualcomm security features, including secure boot, hardware root of trust, TEE, key provisioning, encrypted storage, anti rollback, secure debug control, and lifecycle state enforcement.
- Experience with production security workflows, including fuse burning, root of trust provisioning, device identity, factory flashing, secure provisioning, and manufacturing test procedures.
- Hands on experience with GPU, DSP, NPU, or AI accelerator based workloads for sensor fusion, real time inference, and SWaP constrained AI/ML deployment.
- Experience implementing embedded cybersecurity measures, including encrypted communications, sandboxing, access control, threat modeling, secure OTA, and secure coding practices.
- Familiarity with ISO 27001, DO 326A, DevOps/CI/CD, Git, Docker, Kubernetes, automated testing, and cross functional integration.
- Strong English communication skills and ability to work with software, hardware, security, manufacturing, QA, and systems teams under pressure.
Education And Certification Requirements
- Experience in UAV or aerospace autonomy projects.
- Contributions to the ROS2 or NVIDIA Jetson open source community.
- Knowledge of ML, SLAM, or multi agent coordination.
- Familiarity with standards (ISO 27001, DO 178C, DO 326A, IEC 61508).
- Proven track record of bringing autonomous systems from concept to product, including field deployment and user adoption.
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