Join our team

Key Responsibilities:

• Lead the development, drafting, and review of Functional Hazard Assessments (FHA) across various system levels (aircraft, system, and subsystem).
• Develop and maintain Preliminary System Safety Assessments (PSSA) to support system architecture definition and hazard mitigation strategies.
• Collaborate with systems engineers, design engineers, and certification teams to integrate safety requirements into system design and architecture.
• Conduct and document safety analyses in accordance with SAE ARP4761, ARP4754A, and relevant regulatory frameworks (e.g., EASA, FAA, or other applicable authorities).
• Identify and document potential failure modes, hazards, and associated safety requirements within complex aerospace systems.
• Support System Safety Working Groups (SSWG) and coordinate cross-functional safety reviews.
• Develop and maintain safety planning documentation, including System Safety Plans and Safety Analysis Reports.
• Support certification programs by providing safety analysis deliverables for regulatory submissions.
• Participate in system design reviews, ensuring safety considerations are effectively addressed.
• Support DFMEA, FTA, and other safety and reliability analyses to ensure comprehensive hazard identification and risk mitigation.
• Continuously improve safety analysis processes, templates, and methodologies to enhance efficiency and compliance.

Qualifications & Experience:

• Bachelor’s or Master’s degree in Aerospace Engineering, Systems Engineering, Safety Engineering, or a related technical field.
• Minimum of 5-8 years of experience in aerospace safety engineering, with direct experience in drafting FHA and PSSA for complex aerospace systems.
• Strong understanding of ARP4761, ARP4754A, and relevant regulatory guidance.
• Demonstrated ability to work cross-functionally across systems, safety, design, and certification teams.
• Excellent technical writing skills with the ability to author clear, structured, and compliant safety documentation.
• Proficiency in safety analysis tools (e.g., Fault Tree analysis software, reliability modeling tools).

Preferred:

• Experience supporting safety certification activities for commercial or military aircraft, eVTOL, UAV, or space systems.
• Knowledge of software and avionics safety processes (DO-178C, DO-254).
• Familiarity with Model-Based Systems Engineering (MBSE) and safety analysis integration into model-based workflows.
• Strong problem-solving skills and ability to handle complex, multidisciplinary problems in a structured manner.

Key Competencies:

• Analytical mindset with attention to detail.
• Effective communicator with strong collaboration skills.
• Ability to manage multiple projects and meet critical deadlines.
• Proactive mindset with a focus on continuous improvement and safety culture.

Key Responsibilities:

• Lead and manage the certification process for autonomous vehicle technologies, ensuring compliance with relevant industry and regulatory standards.
• Develop and execute certification strategies in alignment with company goals and regulatory requirements.
• Act as the primary liaison with certification authorities, regulatory agencies, and industry standards organizations.
• Monitor changes in regulations and standards related to autonomous systems and update internal processes accordingly.
• Collaborate with engineering, legal, and product teams to integrate certification requirements into the development lifecycle.
• Conduct gap analyses to identify potential compliance risks and work with teams to address them.
• Prepare and submit documentation required for certifications and regulatory approvals.
• Support audits, inspections, and testing processes necessary for certification approvals.
• Advocate for LODD Autonomous in industry working groups, contributing to the evolution of standards and regulations.

Qualifications & Experience:

• Bachelor’s or Master’s degree in Engineering, Regulatory Affairs, or a related field.
• 5+ years of experience in certification, regulatory compliance, or safety engineering, preferably in the automotive, robotics, or aerospace industries.
• In-depth knowledge of certification processes such as ISO 26262, ISO 21448 (SOTIF), SAE, UNECE regulations, or other relevant autonomous vehicle standards.
• Experience working with regulatory bodies such as NHTSA, FMVSS, DOT, or international equivalents.
• Strong project management skills with the ability to handle multiple certification programs simultaneously.
• Excellent communication and stakeholder management skills.
• Ability to interpret and apply complex regulatory and technical requirements.
• Prior experience in autonomous vehicle technology or advanced driver-assistance systems (ADAS) is a plus.

Why Join LODD Autonomous? 

• Be part of a pioneering team shaping the future of autonomous transportation.
• Work on cutting-edge technology with a focus on safety and compliance.
• Competitive salary, benefits, and career growth opportunities.
• A collaborative and innovative work environment.

If you are passionate about certification and regulatory compliance in the autonomous vehicle industry, we would love to hear from you! 

Key Responsibilities:

• Design and implement redundant avionics architectures to ensure system resilience and fault tolerance.
• Develop and integrate sensor fusion algorithms for avionics systems, combining data from IMUs, GPS, radar, LiDAR, and other sensors.
• Collaborate with flight control, autonomy, and software teams to enhance sensor fusion performance for navigation and control.
• Conduct system-level trade studies to optimize redundancy strategies and mitigate single points of failure.
• Implement real-time data processing techniques to enhance sensor accuracy and fault detection.
• Ensure compliance with aerospace safety and certification standards (e.g., DO-178C, DO-254, ARP4754A).
• Support hardware-in-the-loop (HIL) and flight test campaigns to validate sensor fusion algorithms and redundant system performance.
• Perform failure mode and effects analysis (FMEA) to identify and mitigate avionics system risks.
• Stay up to date with emerging avionics technologies and contribute to future system designs.

Qualifications & Experience:

• Bachelor’s or Master’s degree in Aerospace Engineering, Electrical Engineering, Computer Science, or a related field.
• 5+ years of experience in avionics system design, redundancy, or sensor fusion development.
• Strong understanding of avionics sensors such as IMUs, GPS, radar, LiDAR, and air data systems.
• Proficiency in developing sensor fusion algorithms using Kalman filters, Bayesian inference, or machine learning techniques.
• Experience with avionics networking protocols (ARINC 429, MIL-STD-1553, CAN, Ethernet).
• Knowledge of safety-critical systems and aerospace certification standards (DO-178C, DO-254).
• Hands-on experience with real-time embedded systems and software development in C/C++, Python, or MATLAB/Simulink.
• Experience with hardware-in-the-loop (HIL) testing and system validation techniques.
• Strong analytical skills and the ability to work in a multidisciplinary team.

Preferred Qualifications: 

• Experience with autonomous flight systems and mission-critical avionics.
• Familiarity with AI/ML-based sensor fusion techniques.
• Knowledge of space-grade avionics and radiation-hardened systems (if applicable).

Why Join Us?

• Work on cutting-edge aerospace technologies with real-world applications.
• Collaborate with a highly skilled team in a dynamic and innovative environment.
• Competitive salary, benefits, and career growth opportunities.
• Play a key role in advancing flight safety and autonomous aviation.

If you are passionate about avionics redundancy and sensor fusion, we want to hear from you! 

Key Responsibilities:

• Develop and execute software verification and validation (V&V) plans to ensure compliance with aerospace and autonomous vehicle safety standards.
• Design and implement automated and manual testing frameworks to validate software functionality, performance, and reliability.
• Conduct unit, integration, system, and acceptance testing for mission-critical software components.
• Perform requirements-based testing, ensuring software meets functional and safety requirements.
• Identify, analyze, and document software defects, and collaborate with development teams for resolution.
• Work with safety and certification teams to ensure compliance with standards such as DO-178C, ISO 26262, and SAE ARP4754A.
• Develop and maintain test scripts, test cases, and test reports for both real-time embedded systems and AI-driven software applications.
• Support hardware-in-the-loop (HIL) and software-in-the-loop (SIL) testing environments for drone and autonomous vehicle software.
• Assist in preparing software verification artifacts for regulatory approvals and audits.
• Continuously improve testing processes by adopting best practices in continuous integration (CI/CD) and automated testing.

Qualifications & Experience: 

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Aerospace Engineering, or a related field.
• 3+ years of experience in software verification and validation, preferably in the aerospace, robotics, or autonomous systems industries.
• Strong understanding of safety-critical software development and relevant certification standards (DO-178C, ISO 26262, or equivalent).
• Proficiency in Python, C, C++, or MATLAB for test automation and script development.
• Experience with unit testing frameworks, software debugging tools, and static/dynamic analysis techniques.
• Knowledge of real-time operating systems (RTOS) and embedded systems.
• Familiarity with simulation environments such as Gazebo, MATLAB/Simulink, or ROS-based platforms.
• Experience with version control (Git), continuous integration (Jenkins, GitLab CI), and test management tools.
• Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment.

Preferred Qualifications:

• Experience with AI/ML verification in safety-critical applications.
• Knowledge of cybersecurity standards for autonomous systems.
• Hands-on experience with drone or UAV software development and testing.

Why Join LODD Autonomous? 

• Work on cutting-edge autonomous aerial systems and AI-driven drone technologies.
• Be part of a pioneering team shaping the future of autonomous logistics and aerial mobility.
• Competitive salary, benefits, and career development opportunities.
• Opportunity to contribute to the safety and certification of next-generation UAV systems.

If you are passionate about software verification and ensuring the safety of autonomous systems, we want to hear from you! 

Key Responsibilities:

• Design and develop scalable, modular, and high-performance software architectures for autonomous drone systems.
• Define and enforce software development best practices, including design patterns, code standards, and system documentation.
• Lead the integration of AI, sensor fusion, real-time control, and embedded systems into a cohesive software framework.
• Collaborate with systems engineers, embedded developers, and autonomy teams to define software requirements and specifications.
• Optimize real-time processing, parallel computing, and distributed system architectures for autonomous flight applications.
• Ensure compliance with safety-critical software development standards (DO-178C, ISO 26262, ARP4754A).
• Drive the adoption of modern software engineering practices, including microservices, containerization, and CI/CD pipelines.
• Evaluate and select appropriate programming languages, frameworks, and tools to maximize software efficiency and maintainability.
• Develop and maintain high-level software design documentation, including UML diagrams, system architecture diagrams, and API specifications.
• Provide technical mentorship and guidance to software engineering teams.

Qualifications & Experience:

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
• 7+ years of experience in software architecture, system design, or embedded software development in aerospace, robotics, or autonomous systems.
• Expertise in C++, Python, and embedded software development for real-time systems.
• Strong knowledge of real-time operating systems (RTOS), middleware, and microservices architectures.
• Experience in sensor fusion, AI-driven autonomy, and robotics software frameworks (e.g., ROS, DDS, PX4, or similar).
• Hands-on experience with cloud computing, edge computing, and containerization (Docker, Kubernetes, etc.).
• Familiarity with safety-critical software certification standards (DO-178C, ISO 26262).
• Proficiency in CI/CD tools, version control (Git), and DevOps methodologies.
• Strong problem-solving, analytical, and communication skills.

Preferred Qualifications:

• Experience in UAV flight control software, autonomous navigation, or AI-powered decision-making systems.
• Knowledge of cybersecurity principles in embedded and networked autonomous systems.
• Background in parallel computing and GPU acceleration for AI/ML applications in autonomous flight.

Why Join LODD Autonomous? 

• Work on cutting-edge AI-driven UAV and aerial mobility technologies.
• Be part of a highly skilled team shaping the future of autonomous logistics and aviation.
• Competitive salary, benefits, and career growth opportunities.
• Opportunity to lead and define the software architecture for next-generation autonomous systems.

If you’re passionate about software architecture and autonomous systems, we’d love to hear from you! 

Key Responsibilities:

• Develop and implement process assurance and quality management systems (QMS) to ensure compliance with aerospace and autonomous vehicle standards (e.g., DO-178C, DO-254, ISO 9001, AS9100).
• Conduct process audits, gap analyses, and root cause investigations to identify and mitigate quality risks.
• Establish and enforce quality control standards for software, hardware, and manufacturing processes.
• Work closely with engineering and operations teams to ensure compliance with safety-critical software development standards (DO-178C) and hardware reliability guidelines (DO-254).
• Define and track key quality metrics, ensuring continuous monitoring and improvement of development and production processes.
• Implement risk management and failure mode and effects analysis (FMEA) methodologies to enhance product reliability.
• Develop and maintain quality documentation, including process validation reports, corrective action plans, and compliance records.
• Support regulatory audits and certification processes, liaising with external certification bodies and industry regulators.
• Drive continuous improvement initiatives, ensuring best practices in quality assurance and process optimization.
• Train and mentor teams on quality assurance methodologies, process adherence, and compliance requirements.

Qualifications & Experience:

• Bachelor’s or Master’s degree in Quality Engineering, Aerospace Engineering, Industrial Engineering, or a related field.
• 5+ years of experience in process assurance, quality management, or compliance engineering in the aerospace, defense, or autonomous systems industry.
• Strong knowledge of aerospace quality standards (ISO 9001, AS9100), safety-critical software standards (DO-178C), and hardware certification processes (DO-254).
• Experience with quality control methodologies, process auditing, and regulatory compliance.
• Proficiency in root cause analysis, corrective/preventive action (CAPA), and failure mode analysis (FMEA, DFMEA, PFMEA).
• Familiarity with configuration management tools (e.g., Git, JIRA) and quality management systems (QMS).
• Strong analytical, problem-solving, and organizational skills.
• Excellent communication and collaboration abilities to work across teams and with regulatory bodies.

Preferred Qualifications:

• Experience in autonomous vehicle, drone, or aerospace system certification.
• Knowledge of statistical process control (SPC) and Six Sigma methodologies.
• Hands-on experience with safety assessments and system reliability analysis.

Why Join LODD Autonomous?

• Work with a pioneering team on cutting-edge autonomous aerial technologies.
• Opportunity to shape the quality and assurance processes of a rapidly growing company.
• Competitive salary, benefits, and career development opportunities.
• Be part of a company driving next-generation AI-powered logistics and mobility solutions.

If you are passionate about quality, process assurance, and compliance in aerospace and autonomous technologies, we would love to hear from you!