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Required AI Algorithm Engineer - Vision Localization Group
About the team:
Our vision Localization group is responsible for accurately localizing the vehicle on a high-definition 3D map with centimeter-level precision using surround camera systems to enable autonomous driving. Our work combines advanced geometric reasoning, scene understanding, and large-scale mapping to solve one of the core challenges of autonomous vehicles in complex real-world environments.
The role involves developing algorithmic and deep learning solutions that integrate mathematical optimization, computer vision, and 3D geometry. We work with modern neural network architectures including Transformers, GNNs, and CNNs to solve problems involving scene understanding, object association, and precise spatial reasoning in dynamic environments. The HD map contains rich geometric and semantic information that is critical for safe driving and cannot always be inferred reliably from images alone under all visibility conditions or viewpoints. In addition to achieving highly accurate localization, the team is also responsible for estimating map relevance and consistency with the current world state to ensure safe and reliable autonomous driving.
What will your job look like:
Develop state-of-the-art localization algorithms for autonomous driving using multi-camera surround vision systems.
Design and implement deep learning models based on Transformers, Graph Neural Networks, and Convolutional Neural Networks.
Solve challenging problems involving 3D geometry, scene understanding, object matching, and spatial reasoning.
Combine learning-based methods with classical optimization and geometric algorithms.
Own the entire lifecycle from prototyping to deployment.
Analyze real-world driving data and improve system robustness under diverse environmental and visibility conditions.
Drive innovative solutions for high-precision localization at production scale.

We are looking for a highly talented Postgraduate Engineer - MSc/PhD to join our Autonomous Systems team and lead the development of a foundation model that will serve as the backbone of our autonomous robot.

Responsibilities:

Process large-scale, multi-modal data from diverse sources.
Design, develop, and build Foundation Models to support perception for autonomous agents.
Build data pipelines, training frameworks, and evaluation methodologies.

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.

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.

We are looking for a Senior Data Scientist to lead the design and implementation of next-generation AI solutions for Lifecycle Marketing.
As a senior member of our team, you will shape methodology, guide product direction under uncertainty, and represent in high-stakes conversations with customers. Youll combine deep expertise in causal inference, reinforcement learning, and experimentation with strong communication skills to drive impact across the company and with our clients.
Responsibilities:
Own the design and methodology of data science solutions for lifecycle marketing, with emphasis on causal inference, uplift modeling, and reinforcement learning.
Lead the development of experimentation frameworks (A/B/n tests, variance reduction, policy evaluation).
Research, prototype, and productionize multi-armed bandits and contextual RL approaches for personalization and timing optimization.
Take a strong, opinionated role in brainstorming sessions, guiding decision-making in areas of high uncertainty.
Represent Voyantis in front of customers, translating complex modeling decisions into clear business value.
Mentor junior and mid-level team members, raising the technical bar across the team.
Collaborate closely with product managers, engineers, and analysts to align data science strategy with business goals.

As a quantum researcher, your main role will be to develop algorithmic and error-reduction tools to help our partners and customers achieve quantum advantage for their applications. You will develop our companys error reduction methods, including mitigation and correction, and apply them to different use cases by optimizing existing methods, developing new algorithms, and adapting these tools to the realities of running on quantum hardware. This includes taking into account application requirements, noise characteristics, device constraints, and performance on real quantum devices.
Responsibilities
Developing new error reduction methods, including mitigation and correction, for quantum algorithms.
Optimizing error reduction methods for different algorithms, applications, and hardware settings.
Developing new quantum algorithms to enhance performance on real quantum hardware with error mitigation.
Conducting research on applications of quantum computing with our companys partners, including implementing and running proof-of-concept demonstrations of these applications on real quantum hardware. 

we are using technology to transform transportation around the world. From changing a single persons daily commute to reducing humanitys collective environmental footprint - weve got huge goals.
We are looking for an experienced Senior Algorithms Developer to join our team and help design, build, and scale the systems that power our products. In this role, you will work on high-impact projects that combine cutting-edge technology, complex distributed systems, and challenging algorithmic problems in transportation, routing, and navigation. You will have the opportunity to own features end-to-end, make key technical decisions, and shape the architecture and reliability of large-scale systems.
What Youll Do:
Architect, build, and scale robust, high-performance systems from initial design through deployment to production.
Own features end-to-end, from concept through development, testing, deployment, and maintenance, with strong accountability.
Develop features and APIs for concurrent applications in Golang.
Implement and improve geometric and graph algorithms to support core product
functionality.
Maintain Python and Java server applications, ensuring reliability and stability.
Write production-grade code that is efficient, reliable, maintainable, and optimized for performance.
Optimize application performance, uptime, and scalability, while maintaining high standards of code quality and thoughtful application design.
Run benchmarks and write analysis scripts for geographical data.

we are looking for a Algorithm Researcher.
Develop the optimization and computational-geometry algorithms at the core of : for researchers who love hard, non-convex problems.

we are looking for a Agentic AI & Algorithms Team Lead.
As an Agentic AI & Algorithms Team Lead, you will lead a high-caliber team of AI engineers while staying hands-on in the codebase (~50%). You will also act as the Solution Architect for the algorithmic product, working closely with the CTO and VP Product with core influence on the product roadmap.
The AI is the core of the product, and the AI itself is the decision-maker. It performs diagnosis and root-cause analysis on complex, multi-source data (spectral, time-series, tabular, and more) to produce the conclusions the product delivers.
Key Responsibilities:
Lead and mentor a focused team of algorithm engineers and data scientists building AI Agents for production-grade, decision-making systems.
Own the Agentic AI solution architecture at the core of the company's flagship product: ensure the accuracy required for mission-critical decisions, design robust guardrails, and control token consumption and cost.
Act as Solution Architect: turn ambiguous customer or internal ideas into a concrete technical specification and a working implementation.
Spend ~50% of your time writing code, focused on high-risk, critical milestones such as researching and building POCs for novel algorithmic approaches.
Work directly with the CTO and VP Product to align the algorithmic strategy with the product roadmap and core capabilities, given the deep impact this role has on both.
Work directly with industrial domain experts to translate their specialized knowledge into the AI's decision logic.