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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.

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 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 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.

Required Software Engineer
We are leading the next era of trust and loyalty in eCommerce. With AI-powered Reviews and Loyalty solutions, we help brands turn browsers into customers and customers into advocates. Through deep integrations across the eCommerce ecosystem and the trust of over 30,000 global brands, we deliver seamless omnichannel experiences that increase conversion, strengthen customer relationships, and drive profitable, long-term growth.
As a Software Engineer, you are a core partner in the product team, shaping not just how we build, but what we build. Your mission is to solve meaningful customer problems, turn ideas into production-ready software, and leverage modern AI-native development practices to amplify your impact as an engineer.
You will join a culture of radical end-to-end ownership, where teams deploy to production dozens of times a day. Leveraging a modern technology stack alongside AI-powered development tools, you will build, experiment, and iterate quickly-turning complex technical challenges into products that deliver real customer value.
Key Responsibilities
AI-Native Software Development: AI is part of how we build software. You will leverage modern AI tools and agentic workflows as part of your daily development process to accelerate implementation, improve code quality, automate repetitive work, and explore technical solutions faster-while applying strong engineering judgment every step of the way.
Builder Mentality: You dont wait for perfect specifications. You take ideas, challenge assumptions, build prototypes when needed, iterate quickly, and turn ambiguous problems into elegant, production-ready solutions.
End-to-End Ownership: Own your features from idea to production. You build it, you ship it, you monitor it, and continuously improve it-taking full ownership of both customer impact and technical quality.
Product Partnership: Partner closely with Product Managers, Designers, and fellow engineers throughout discovery and delivery. Your technical insights will help shape product decisions before a single line of code is written.
What You Bring
Your Mindset:
A Builder at Heart: You love creating new things, experimenting with ideas, and turning ambiguity into working software. You proactively identify opportunities, take initiative, and enjoy solving problems that dont come with a predefined solution.
Product Partner: You care as much about the Why (Business Value) as the How (Implementation). You understand customer problems, challenge assumptions, and make thoughtful technical decisions that maximize impact.
AI-Native Engineer: You view AI as a fundamental part of modern software development. You know how to combine AI-powered tools with strong engineering fundamentals to build better software, faster.

We are looking for an experienced Technical Writer.

Responsibilities
Write, update, and maintain technical and operational documentation, including manuals, procedures, work instructions, user guides, and maintenance documentation.
Write, edit, format, and organize documents in Microsoft Word according to defined templates, style guides, and documentation standards.
Update and modify diagrams, process flows, and flowcharts using Microsoft Visio.
Collect, analyze, and structure technical information from engineering teams, product teams, and subject matter experts.
Collaborate with technical teams and SMEs to create, review, validate, and update documentation.
Ensure documentation is accurate, clear, consistent, and suitable for the intended audience.

Design, implement, and train state-of-the-art neural network architectures for robotic applications, including large multimodal models (vision, language, sensor data) and generative models.
Architect and maintain scalable deep learning frameworks for training on massive, real-world robot datasets.
Develop and implement cutting-edge techniques in areas such as imitation learning, reinforcement learning, self-supervised learning, and video-based models.
Own the full machine learning lifecycle: define data collection and labeling strategies, build high-throughput data pipelines, and establish robust evaluation and deployment protocols.
Collaborate closely with software, hardware, and controls teams to integrate and test your models on physical robots.
Leverage and contribute to internal tooling for large-scale data processing, model experimentation, and continuous integration.

As a Data Engineer , you will own the data lifecycle for Physical AI and humanoid robotics: the pipelines and systems that move data from the moment it is captured to the moment it trains a model.
You will design and scale the pipelines that convert large volumes of simulation and real-robot recordings into state-of-the-art datasets - handling extraction, transformation, feature schemas, statistics, and video at scale. You will build the curation systems that generate and select high-quality training data, and the release tooling that produces versioned datasets.
You will work with various reinforcement learning and computer vision algorithms which generate realistic simulation data for humanoid robotics tasks.
You will build robust, production-grade systems that bridge data producers and consumers, accelerate dataset iteration, and make every dataset that reaches a model trustworthy, reproducible, and traceable to its source.

Lead the SW Backend Team, responsible for scaling robotic operations, fleet management, and performance analytics.
Drive architectural decisions around scalability, reliability, performance, and observability.
Work closely with AI, simulation and parallel software teams to ensure cohesive development across the company.
Foster a culture of technical innovation, engineering excellence, and personal accountability.

Architect a Centralized Platform: Design and develop a comprehensive, multi-purpose application that serves as the central hub for the company's robotic operations, fleet management, and performance analytics.
Develop Robot Control Interfaces: Build real-time control systems that allow engineers and operators to securely connect to the robots, visualize live sensory data, and directly command robot functionality via tele-operation.
Cross-Functional Integration: Collaborate closely with our AI, simulation, and hardware teams to ensure seamless data flow and integration between the physical robots, backend infrastructure, and user interfaces.

Weve entered our rapid growth and expansion stage and are planned to grow from 50 to 200+ employees over the next year. This is your opportunity to join a rapidly growing company, have an immediate impact on the product and the companys evolution.
We are currently processing billions in volume for 80,000+ businesses and were just getting started. If you are talented, humble and ambitious - now is the best time to join a rapidly scaling rocket ship where you can make an impact and be a significant part of our journey.
About the opportunity:
As a backend software engineer , youll become a valuable member of an innovative and fast-growing department, working in a truly Agile environment. You will build FinTech products that help our clients as well as our internal departments to expand ecosystem and make an impact on our business daily.
We believe that developers should take full ownership of their work: from the initial feature planning phase alongside Product and Design; choosing the right technologies, designing the code and architecture; coding; PRing; and all the way to actual deployment in CI/CD environment, as well as post-deployment monitoring. It is all your responsibility.
Whether you enjoy writing complex business logic in the backend, take pleasure in writing clean and high-quality code, or tweaking infrastructure to perform well at scale, we encourage you to get your hands dirty end-to-end.
Collaborate with the rest of the engineering and product managers teams to design and launch new features end-to-end.

we are looking for a Senior Software Engineer - C/C++
Responsibilities
Design, develop, and maintain production-grade software using C++ and Python.
Build modular, well-architected components following object-oriented design principles.
Optimize code for real-time and low-latency operation.
Collaborate with cross-functional teams to deliver end-to-end solutions.
Write clean, maintainable, and well-tested code.