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We are seeking a highly autonomous and exceptionally talented AI & Robotics Research & Exploration Specialist. This role is dedicated to AI driven product exploration and rapid prototyping. Conceptualize and build functional MVPs that push the boundaries of our XOS robotics ecosystem. The ideal candidate is a prolific builder and "tinkerer" with deep expertise in software, AI, and computer vision, capable of translating novel concepts into structured, demonstrable prototypes.

we are looking for a Senior Design Engineer who wants to push boundaries, work hard, and help build something that has never been done before.

The Senior Design Engineer will join a team responsible for the architecture, design, and verification of a high-performance controller ASIC at the core of this new computational paradigm.

Your Day to Day
Own the design, micro-architecture, and implementation of digital logic for a high-performance ASIC
Translate system-level requirements into detailed micro-architecture and RTL designs
Develop high-quality RTL code in Verilog/SystemVerilog
Work closely with the algorithm, verification, analog, and software teams to define interfaces and ensure end-to-end functionality
Participate in design reviews, propose improvements, and ensure compliance with coding and design guidelines
Integrate and debug digital modules in simulation and lab environments
Support synthesis, timing closure, performance optimization, and power reduction activities
Collaborate with verification teams to define test plans and ensure thorough coverage
Contribute to a high-intensity startup environment where solving tough technical challenges and meeting ambitious schedules is part of the mission

We are seeking a skilled and experienced Thermal Analysis Engineer to join our dynamic team focused on developing cutting-edge sensor and laser-based products. In this role, you will play a critical part in ensuring the thermal performance, reliability, and efficiency of our products. Your expertise in heat transfer, thermodynamics, and thermal simulation will be instrumental in guiding the design and optimization of thermal management solutions.

Your Day to Day
Create and develop accurate thermal models using dedicated software (FloTherm)
Analyze and predict thermal behaviour under various operating conditions, including power levels and environmental factors
Design and optimize cooling solutions, such as TEC, heat sinks, fans, and thermal interface materials, to maintain optimal operating temperatures for laser/optical components
Collaborate with the mechanical engineering team to integrate thermal solutions into product designs seamlessly
Conduct thermal testing and validation experiments to verify the performance of selected materials and thermal management solutions
Present findings and recommendations, maintain comprehensive documentation of thermal analyses, simulations, and testing procedures

We are looking for a NPI Configuration Engineer to join our team. The NPI Configuration Engineer will be responsible for leading new product introduction projects and ensuring a successful transition from development to manufacturing.

Your Day to Day
Own all engineering documentation: drawings, BOMs, work instructions, PNs
Manage engineering change processes (ECOs, MCOs, product revisions) end-to-end
Maintain data integrity in PDM/PLM and ERP systems (Priority, SolidPDM - advantage)
Drive new product introduction (NPI) from design to small-scale and mass production (including DFM/DFA/DFT, vendor support, and configuration control)
Participate in design reviews and support risk mitigation during development
Identify opportunities and lead cost reduction initiatives

We are seeking a versatile Tech Lead to join our team responsible for designing and developing next-generation video analytics products leveraging advanced Vision-Language Models (VLM) and Large Language Models (LLM).
Responsibilities
Lead the design and development of scalable, high-performance video analytics solutions using Python and C++
Research and implement hardware-accelerated video processing techniques
Optimize inference of Large Language Models, performance and memory usage
Collaborate closely with Research teams on model training, benchmarking, and selection
Ensure cross-platform integration of core technologies.
Mentor team members and contribute to architectural decisions.

Lead the engineering definition and architecture of the companys systems, bridging between different development domains and ensuring compliance with customer requirements and performance goals.
This role requires a broad system-level perspective alongside hands-on engineering involvement. It is suited for an experienced candidate who can work across disciplines and lead complex engineering processes in a hands-on approach.
Responsibilities:
Define system requirements and architecture for the companys systems
Lead engineering decisions and perform trade-offs between different disciplines
Hands-on engineering involvement with development teams and support implementation of engineering solutions
Coordinate and integrate between electronics, software, mechanics, and algorithm teams
Technical management of system subcontractors
Write requirements and architecture documents
Write test and validation plans
Support integration processes and system testing
Analyze system performance and identify bottlenecks
Solve complex system issues throughout the product lifecycle.

We are seeking a skilled Signal Processing Engineer to join our team. In this role, you will be responsible for developing and optimizing signal processing algorithms using C/C++ and CUDA. The ideal candidate has strong technical expertise in high-performance computing and real-time signal processing..
At our company, we're at the forefront of signal processing and AI innovation. Join us in contributing to enhancing various RF domain sensors, including radars, synthetic aperture radars, and signal intelligence sensors.
Key Responsibilities:
Design, develop, and optimize high-performance algorithms using CUDA on GPU architectures.
Implement and maintain software modules for real-time data processing and computation.
Debug, profile, and optimize CUDA code to maximize performance and efficiency.
Develop and implement signal processing algorithms using C/C++
Optimize computational performance using CUDA for GPU acceleration
Work with real-time data processing and high-performance computing environments
Collaborate with cross-functional teams to integrate signal processing solutions into larger systems.

Were looking for a Deep Learning Algorithm Engineer to join a cutting-edge team driving R&D innovation in signal processing and radar-based systems. In this role, you will lead the end-to-end development of deep learning models, from data strategy and model training to deployment in real-world defense applications.
Responsibilities include:
Design and implement state-of-the-art DL algorithms for diverse data formats, including 2D spectral representations, 3D point clouds etc.
Develop scalable pipelines for training, evaluation, data labeling, and preprocessing
Train and optimize models using frameworks like PyTorch/TensorFlow
Conduct literature reviews and stay on top of the latest AI trends
Prepare models for integration and deployment in production environments.

We are looking for an experienced Deep Learning & AI Infrastructure Engineer to join our AI team. In this role, you will develop and deploy advanced deep learning models for signal processing and build the infrastructure and tooling required to scale AI training and inference in both research and production environments.
You will be responsible for the end-to-end lifecycle of AI workloads, including data ingestion and preprocessing pipelines, model training infrastructure, efficient inference systems, and automated experiment tracking.
Key Responsibilities
Design, implement, and optimize deep learning models and pipelines for signal and image analysis.
Build and maintain AI infrastructure components to support model training, versioning, monitoring, and deployment.
Develop scalable data processing pipelines for datasets, including ingestion, labeling, augmentation, and preprocessing at scale.
Implement automated training workflows using tools such as ClearML or other experiment tracking platforms, ensuring reproducibility and model governance.
Collaborate with system engineers to integrate AI models into real-time radar systems and ensure efficient inference performance.
Optimize distributed training and resource utilization.
Run performance tuning, testing, and benchmarking for both training and inference workloads.
Document infrastructure components, training procedures, and model lifecycle processes.

We are looking for a Systems Engineer to support the development, testing, and validation of a multi-sensor system. The role is hands-on and execution-focused, with strong involvement in field tests, lab work, and system-level integration.
Key Responsibilities
Plan and execute lab and field tests for complex sensor-based systems
Work closely with software, algorithm, and hardware teams during development and testing
Support system integration, bring-up, and troubleshooting
Collect, analyze, and validate system data from tests and experiments
Maintain clear system documentation, test procedures, and reports
Manage and support ICDs and system configurations
Participate in customer demonstrations and internal technical reviews.

We are seeking a skilled Signal Processing Engineer to join our team. In this role, you will be responsible for developing and optimizing signal processing algorithms using C/C++ and CUDA. The ideal candidate has strong technical expertise in high-performance computing and real-time signal processing..
At our company, we're at the forefront of signal processing and AI innovation. Join us in contributing to enhancing various RF domain sensors, including radars, synthetic aperture radars, and signal intelligence sensors.
Key Responsibilities:
Design, develop, and optimize high-performance algorithms using CUDA on GPU architectures.
Implement and maintain software modules for real-time data processing and computation.
Debug, profile, and optimize CUDA code to maximize performance and efficiency.
Develop and implement signal processing algorithms using C/C++
Optimize computational performance using CUDA for GPU acceleration
Work with real-time data processing and high-performance computing environments
Collaborate with cross-functional teams to integrate signal processing solutions into larger systems.

Were looking for a Deep Learning Algorithm Engineer to join a cutting-edge team driving R&D innovation in signal processing and radar-based systems. In this role, you will lead the end-to-end development of deep learning models, from data strategy and model training to deployment in real-world defense applications.
Responsibilities include:
Design and implement state-of-the-art DL algorithms for diverse data formats, including 2D spectral representations, 3D point clouds etc.
Develop scalable pipelines for training, evaluation, data labeling and preprocessing
Train and optimize models using frameworks like PyTorch/TensorFlow
Conduct literature reviews and stay on top of the latest AI trends
Prepare models for integration and deployment in production environments.

we are the global innovator and leading solutions provider of end-to-end wireless connectivity, specializing in transport, access, and AI-powered managed & professional services. Through our commitment to excellence, we empower customers to elevate operational efficiency and enrich the quality of experience for their end users.
Our customers include service providers, utilities, public safety organizations, government agencies, energy companies, and more, who rely on our wireless expertise and cutting-edge solutions for 5G & 4G broadband wireless connectivity, mission-critical services, and an array of applications that harness our ultra-high reliability and speed. our company solutions are deployed by more than 600 service providers, as well as more than 1,600 private network owners, in more than 130 countries.
Through our innovative, end-to-end solutions, covering hardware, software, and managed & professional services, we enable our customers to embrace the future of wireless technology with confidence, shaping the next generation of connectivity and service delivery.
our company delivers extremely reliable, fast to deploy, high-capacity wireless solutions for a wide range of communication network use cases, optimized to lower TCO through minimal use of spectrum, power, real estate, and labor resources - driving simple, quick, and cost-effective network modernization and positioning our company as a leading solutions provider for the connectivity everywhere era.
our company, the global innovator and leading solutions provider of 5G wireless transport, is looking for an Algorithms Engineer to join our team.
In this role you will:
Be a part of a leading Algorithm team responsible for developing Radio core technologies for innovative wireless communication products.
Develop algorithms and architectures for a high spectral efficiency modem in a challenging environment.
Simulate and test new HW & SW designs in Matlab and real-time, in a full modem and channel environment.
Collaborate with the VLSI, RF, SW and System groups.
Take end-to-end ownership, from the concept stages to the fully operational system.