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The Senior Edge Navigation Software Engineer will play a key role in designing and developing the platform's navigation and state estimation software-a core capability that enables the drone to accurately understand its position, orientation, and motion in complex and dynamic environments.

This role requires deep expertise in navigation algorithms, sensor fusion, perception, and real-time software development, with the opportunity to influence the architecture and implementation of advanced navigation capabilities for autonomous UAVs.

Responsibilities
Navigation & State Estimation

Design and develop robust navigation and state estimation algorithms.
Develop algorithms to evaluate sensor reliability and dynamically fuse or select sensor inputs.
Ensure accurate and continuous state estimation (position, velocity, and orientation) under varying operational conditions.
Improve navigation robustness in GNSS-degraded and GNSS-denied environments.
Sensor Fusion

Design and implement multi-sensor fusion algorithms using IMU, cameras, radar, barometer, GNSS, and additional onboard sensors.
Develop estimation frameworks based on Kalman Filters, EKF/UKF, factor graphs, or similar approaches.
Optimize estimation accuracy, consistency, and real-time performance.
Optical & Perception-Based Navigation

Develop vision-based navigation capabilities.
Implement and optimize perception algorithms for localization and navigation.
Integrate perception outputs into the broader navigation and control pipeline.
Software Development

Design, develop, test, and maintain high-performance C++ software for real-time autonomous systems.
Write clean, maintainable, and production-quality code.
Optimize algorithms for embedded and edge computing platforms.
Participate in software architecture discussions and technical design reviews.
System Integration

Collaborate closely with control, autopilot (APS), mission software, perception, and infrastructure teams.
Ensure seamless integration between navigation outputs and guidance/control loops.
Work with simulation and QA teams to validate system performance.
Robustness & Performance

Design algorithms for real-time execution under strict latency and computational constraints.
Validate solutions through simulation, hardware-in-the-loop testing, and flight testing.
Optimize performance in challenging environments with degraded or uncertain sensor data.

our company seeks a Senior Application Security Engineer to serve as the technical core of our bug bounty program within the Product Security Incident Response Team (PSIRT). This is the senior engineer who owns bug bounty reports from intake through resolution: reproducing and validating the vulnerability, assessing its severity, and seeing it through to a verified fix.
The work is deeply technical. Reproducing a vulnerability is only the starting point. From there you read the underlying code, identify root cause, and either propose the fix or design it alongside engineering before confirming it holds. You are also the person researchers deal with directly, which makes clear, credible communication as central to the role as the technical analysis itself.
As one of the most senior engineers on the team, you will set the standard for how triage is done and mentor earlier-career engineers. Beyond the bug bounty queue, you will conduct variant hunts, perform original platform security research, lead major product security incidents, and run forensic postmortems when a significant issue reaches production.
Key Responsibilities
Triage and Resolve Bug Bounty Reports
Own incoming reports end-to-end: intake, reproduction, severity scoring, root cause analysis, fix verification, and final disposition.
Reproduce and validate reported vulnerabilities, building out incomplete proof-of-concept code where needed.
Serve as the technical escalation point for the most complex and highest-severity reports, including multi-step exploit chains and cross-system issues.
Perform code review and root cause analysis to identify the underlying defect rather than the reported symptom.
Propose remediations, or design them with engineering, and verify the fix resolves the issue.
Assign and defend severity ratings using the program's severity framework.
Route issues to owning teams, file and track defects, and keep vulnerability records accurate through closure.
Own Researcher and Stakeholder Communication
Act as our company's primary technical point of contact for bug bounty researchers across the full lifecycle of a report.
Handle severity and validity disputes directly, keeping every exchange clear, timely, respectful, and technically credible.
Translate technical findings for internal stakeholders and keep engineering and leadership current on status and risk.
Mentor the Team and Raise Triage Standards
Provide technical mentorship to earlier-career PSIRT engineers, developing depth in reproduction, code analysis, severity judgment, and communication.
Set and maintain the bar for triage quality and strengthen program practices over time.
Lead Advanced Security Work Beyond Triage
Conduct variant hunts to find related instances of reported vulnerabilities before they are discovered externally.
Perform original platform security research to surface issues ahead of external researchers.
Lead major product security incidents on the PSIRT side, coordinating response across teams under pressure.
Run forensic postmortems after significant incidents to determine how the issue reached production, including how design-level flaws bypassed release processes, and confirm that remediations hold.

This is a hands-on architecture role: deep research, secure systems design, and prototyping, applied across product lines with minimal direction and broad latitude to set the technical agenda. You will set platform-wide direction for securing the AI development lifecycle, define the security architecture, agents, and models operating within it, and represent our company's AI security point of view externally. You'll be a technical authority other engineers and other teams look to on emerging AI-specific threats, working in close partnership with the AI security research team - drawing on their findings and feeding real-world attack surfaces back into their agenda.
What you'll do
Own the security strategy and architecture for our Agentic AI ecosystem, LLMs, and models across product lines
Lead threat modeling for the most complex and novel GenAI/agentic surfaces: cross-agent autonomy, multi-agent tool orchestration, and emerging attack classes not yet standardised in the industry
Set the architectural standard for securing model/RAG/data pipelines platform-wide, including access-control and data-boundary models that other teams are expected to build against
Define what "secure-by-design" means for agentic systems at our company, and drive adoption across engineering orgs
Represent our company's AI security posture externally (standards bodies, industry publications, conferences) and internally to executive stakeholders
Mentor and technically guide engineers on AI-specific security work.

As a Software Developer on the team, you will design and build software components that operate close to the hardware and real-time systems powering autonomous drones. You will work across embedded edge environments, communication systems, AI pipelines, mission logic and operational tooling.

This is a hands-on engineering role with strong impact on product architecture, system capabilities and future platform evolution



Responsibilities
Design and develop edge applications running on autonomous drone platforms and edge computing devices
Build reliable, scalable, and high-performance software for real-time operational environments
Develop integrations between onboard systems, AI modules, sensors, and mission-control platforms
Optimize software for constrained compute, network, and power environments
Collaborate closely with autonomy, embedded, AI, DevOps, and product teams
Participate in architecture discussions and technical decision-making for the new platform
Debug and resolve complex system-level and distributed operational issues
Contribute to software quality through testing, code reviews, CI/CD, and engineering best practices

The Customer Success Senior Platform Architect is an advisory role, responsible for helping our customers establish a technical foundation in the company Platform and design solutions that deliver outcomes. The Senior Platform Architect ensures customers use leading practices around instance strategy, technical governance, core data, integrations and the health of the platform. This is a consultative role focused on guiding our company, partner and customer employees on the engagement team to provide a solution on an architecture designed for long-term success.
You will work with the customer across executive, platform owner, enterprise architects, and development teams during the selling, structuring, and implementation of solutions.
Be an architectural advisor across multiple engagements to guide customers, partners, and internal team members to provide successful customer solutions.
Provide a variety of architectural knowledge across multiple workflows.
Develop relationships with CoEI and business leaders at the customer site to understand the role of our company in their digital transformation vision.
Translate goals to outcomes into a customer roadmap.
Translate business information and technical requirements into an architectural blueprint to achieve complex goals.
Engage with the customer's Enterprise Architects to position our company as the digital transformation platform standard, integrated with the customer's core applications.
Manage technical governance, and a delivery operating model and governance.
Ensure instance health by working with the engagement team to reduce technical debt and align to our company leading practices.
Support the sales effort by scoping and estimating the engagement and change orders.
Be an active contributor of leading practices and expertise related to the company platform. 

We are looking for a proactive and hands-on Quality Team Leader to lead our quality team and drive continuous improvement across suppliers, production processes, and finished products.

In this role, you'll combine strong people leadership with problem solving, decision making, and cross-functional collaboration. You'll serve as a mentor and role model for your team, while taking ownership of quality performance and identifying opportunities to improve processes and results.



What You'll Do:
Lead and develop a high-performing quality team, driving execution, accountability, collaboration, and continuous improvement across all quality activities.
Manage QMS activities and support compliance with quality standards and procedures.
Lead supplier quality activities, incoming quality control, investigations, and corrective actions.
Support production through real-time problem solving and effective decision making.
Monitor quality KPIs, analyze trends, and communicate insights to management.
Lead audit readiness activities and participate in internal and external audits.
Support onboarding of new materials, suppliers, and NPI initiatives.
Identify opportunities for improvement and proactively drive solutions from idea to implementation.
Lead CAPA, RCCA, and complex root cause investigations.
Manage product and material release activities (MRB / Product Release).
Lead risk management activities (FMEA) and support regulatory compliance.
Manage customer quality issues, complaints, and field performance trends.
Lead cross-functional and global quality projects with R&D, Operations, and Suppliers.

We are looking for engineers who are comfortable entering complex and unfamiliar systems, quickly understanding how they work, and turning operational concepts into clean software models and architectures.

You should enjoy reasoning about entities, relationships, state, events, commands, missions, resources, and system boundaries - and designing software that represents and coordinates them reliably.

Responsibilities
Design and build software systems for autonomous platform operations and Command & Control
Translate complex operational requirements and domain concepts into robust software architectures
Model operational entities, relationships, state transitions, commands, events, and workflows
Lead architecture and system design decisions across services, communication layers, and domain boundaries
Build scalable, low-latency, resilient production services
Design reliable communication and messaging flows between distributed system components
Solve complex challenges involving concurrency, scalability, latency, synchronization, and fault tolerance
Build abstraction layers for integrating heterogeneous autonomous devices, platforms, and external systems
Develop internal SDKs, APIs, and reusable infrastructure components
Design systems that can be consumed and operated by humans, autonomous components, and AI agents
Improve observability, debugging capabilities, and operational reliability
Drive engineering best practices, clean architecture, and code quality standards
Explore new technologies and approaches when existing solutions are not sufficient

We are looking for a Controller to join our team.

What you will be doing:
Supporting the consolidation process and leading various related tasks.
Reviewing quarterly and year-end closing processes of our subsidiaries.
Preparing quarterly and annual financial statements (6-K and 20-F).
Preparing financial analysis for quarterly and annual reports.
Work closely with subsidiaries in the group, provide support and guidelines.
Serve as an interface between the operational and professional finance teams
across the organization.
Assisting in implementing new accounting standards.
Overseeing accounting procedures and internal controls.
Ad-Hoc tasks and projects.

We are seeking for a Real Time Engineer to develop our Mission Control (MC) logic-the core software guiding our interceptor aircraft. You will bridge the gap between theoretical guidance algorithms and field operations, implementing the logic that governs vehicle behavior. This role involves significant hands-on work with complex communication systems ,hardware, standardized simulation environments (SITL), and field validation.

Responsibilities
Guidance & Logic: Implement and refine navigation strategies, and autonomy software for unmanned aerial systems (UAS).
System Integration: Integrate autonomy with Pixhawk flight controllers and NVIDIA Jetson onboard computers, managing the state machine that dictates vehicle behavior.
Field Operations: Participate in field trials to validate logic on real hardware, debugging interactions between software, sensors, and aerodynamics.
Protocol Management: Optimize MAVLink communications between the mission computer and the flight controller.
Modernization: Maintain critical control loops while implementing modern, asynchronous architectures.

We're seeking a hands-on Systems Engineer to join our team. In this multidisciplinary role, you'll be at the intersection of hardware, software, and electronics, playing a critical part in shaping and integrating our advanced aerial systems. Your strong engineering judgment, collaborative spirit, and ability to move seamlessly from theoretical design to practical lab work will be key to our success.

Responsibilities
Define and manage system-level requirements, interfaces, and architecture.
Collaborate with R&D, software, mechanical, and electrical teams to build and integrate drone systems.
Lead and support system-level design reviews, perform root-cause analysis, and debug complex issues using a data-driven approach.
Drive system integration, validation, and testing-from lab verification to field performance testing.
Be involved in documentation, release processes, and internal system discussions.
Management and coordination with subcontractors