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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 UAS System Engineer to join our airborne systems engineering team and serve as a key technical authority for ArduPilot-based unmanned aircraft systems, including multirotor and fixed-wing platforms.

The role requires a strong system-engineering background combined with deep, hands-on expertise in ArduPilot, flight control, aircraft sensors, avionics, and system integration.

The engineer will support the airborne system engineering team across aircraft development, integration, testing, troubleshooting, and flight operations, and will work closely with software, avionics, control, mechanical, and flight-test teams.

A key aspect of the role is the ability to bridge aircraft behavior, flight-control logic, ArduPilot configuration, and software implementation.

The ideal candidate is not only an ArduPilot user, but a system engineer who understands why the aircraft behaves the way it does and can connect aircraft-level behavior to the underlying system architecture.

As an AI Engineer, you will help build scalable deep learning systems for Physical AI and humanoid robotics.
You will contribute across the full AI lifecycle, from simulator integration and large-scale data pipelines to model training, evaluation, deployment, and optimization on real robotic platforms.
In this role, you will work with large-scale datasets and compute infrastructure to train state-of-the-art models that enable robots to perceive, reason, and act in the physical world.
You will help build robust, production-grade systems that bridge simulation and reality, accelerate model iteration, and bring cutting-edge AI capabilities onto real humanoid robots.

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.

BIRD Aerosystems is seeking a Radar Algorithm Engineer to join our team and contribute to the development of advanced radar systems. The ideal candidate will be responsible for designing, implementing, and optimizing radar algorithms to enhance detection and tracking capabilities.
Responsibilities:

* Design and develop radar signal processing algorithms.
* Optimize existing radar algorithms for performance and accuracy.
* Collaborate with cross-functional teams to integrate algorithms into radar systems.
* Conduct simulations and analyses to validate algorithm performance.
* Participate in field tests to evaluate and refine algorithms.
* Document algorithm designs and implementation details.

What are we looking for? Head of system Engineering for our Aerial Surveillance Solutions division. What will you do? Manage systems engineers Define and lead all technical aspects of different projects Manage lab and Demo for clients Assist with marketing and sales process

Looking for an experienced aircraft electrical engineer to join our team for a challenging and interesting position.

Join BIRD Aerosystems as a Radar Systems Engineer where you will be at the forefront of designing, developing, and testing advanced radar systems for aerospace applications. Leverage your expertise to enhance the performance and capabilities of cutting-edge technology in a dynamic and innovative environment.
Responsibilities:

* Design and develop radar systems for aerospace applications
* Conduct system-level integration and testing of radar technologies
* Collaborate with cross-functional teams to enhance radar capabilities
* Troubleshoot and resolve technical issues in radar systems
* Prepare technical documentation and system specifications
* Evaluate and implement new radar technologies and methodologies
* Support system deployment and field testing