Jobs

We are looking for a Mechanical Engineer who will focus on the assembly, prototyping, and integration of drone systems.
In this role, you will work closely with the R&D team to build, test, and improve UAV platforms and related hardware solutions.

This position combines hands-on engineering work, electronics assembly, and mechanical integration of drone systems used in demanding environments.

What you will do:

• Assemble and integrate drone (UAV) platforms and onboard electronic systems, including small-scale production batches (50–100 units) before transfer to mass production
• Perform soldering and installation of SMD components and electronic modules
• Build and test prototype devices and experimental systems
• Participate in the development and debugging of PCB-based hardware solutions
• Work with drone mechanics, structural components, and system integration
• Support the R&D team in building and testing new drone and glider prototypes
• Assist with preparing hardware for testing and field deployment

What we are looking for:

• Practical experience in electronics assembly, soldering, or hardware prototyping
• Experience working with PCB boards and electronic components
• Understanding of basic electronics and hardware systems
• Experience assembling mechanical and electronic systems
• Attention to detail and ability to work with small electronic components
• Ability to work hands-on with tools, lab equipment, and hardware

Nice to have:

• Experience with UAVs / drones or radio equipment
• Experience assembling custom PCB boards
• Experience with 3D modeling tools
• Experience working with prototyping equipment or small-scale production

What we offer:

• Work on innovative UAV and drone technologies
• Participation in R&D projects developing new aerial systems
• Official employment
• Possibility of military reservation (with applicable documents)
• A team environment where initiative and technical curiosity are encourage

About the role

As a Recruiter, you will play a key role in shaping the future of a dynamic organization by identifying and attracting top talent. You’ll collaborate closely with hiring managers to understand team needs and ensure a perfect match with candidates. Your efforts will directly contribute to the company’s growth, and you’ll have the satisfaction of knowing you’re bringing in individuals who will make a lasting impact.

Responsibilities:

• Working with various sourcing channels to find potential candidates for tech and business roles;
• Creating and posting job vacancies on different platforms, processing responses, and selecting relevant candidates;
• Conducting interviews and supporting candidates throughout the entire recruitment cycle;
• Collaborating with department heads to identify staffing needs;
• Contributing to building and improving recruitment processes within the company.

Requirements:

• At least 2 years of experience in recruiting and successfully filling technical and business roles in an IT company or agency;
• Experience working with international markets and sourcing candidates globally is a strong advantage;
• Experience working in a product company, especially in the field of Embedded development, is a plus;
• Knowledge and experience working with ATS systems and effective candidate sourcing strategies;
• Upper-intermediate English level or higher;
• Ability to build long-term relationships with team leaders, managers, and other stakeholders, taking into account their needs, values, and goals to organize the hiring process.

What We Offer:

• Official employment, 24 days of vacation per year, paid sick leaves;
• Dynamic and fast-paced work environment;
• A vibrant corporate culture built on trust, autonomy, and mutual support;
• Opportunities for professional growth and development;
• Flexible working hours and remote work options after probation period.

Work environment:

Location: Lviv, office

We are looking for a skilled С++ Engineer-a with mathematical background. 
The ideal candidate will have a solid foundation in the following areas:
 

Key Qualifications:
- Strong knowledge of C++ and STL;
- Strong knowledge of Linear Algebra and 3D Geometry;
- Familiarity with Concurrent and/or Parallelism Concepts (e.g., multi-threading, mutex, condition variable, GPU computing, etc.);

Responsibilities:
- Simulation of physical models of dynamic systems that correspond to real parameters;

- Improving the software architecture of the simulation environment;

- Conducting experiments in the simulation environment.
 

Will be a plus:
- Background in Game Dev field (or other Simulation fields);

- Understanding of Physics and Flight Dynamics (e.g., aerodynamics, thrust, drag, and lift principles);
- Background in Robotics Development including Sensors, Control Theory, and Computer Vision;

- Familiarity with Flight Simulation(such as Gazebo or AirSim)\Controlling software (Ardupilot or Betaflight);
- Proficiency in Linux environments;
- Experience with Python and Bash scripting;
- Experience with Docker, Git;
- Experience with CMake;
- Experience with GoogleTest, Catch2 (or similar unit testing frameworks);

About Us

Our client is MilTech startup building an on-premises platform for automated annotation of UAV video and training computer vision models for autonomous flight.

We have a strategic partnership with one of the largest Ukrainian UAV manufacturers and access to what is likely the largest privately owned UAV video dataset in the world.

The company is at a very early stage — the funding is secured, the technical vision exists, and the data is available. Our focus now is building the core engineering team to turn this platform into reality.

The Role

We are looking for a Lead Computer Vision / Machine Learning Engineer to join as a founding member of the engineering team.

This role is highly hands-on and strategic. You will define the ML architecture, select the tools and frameworks, and build the machine learning pipeline from the ground up. As the platform grows, you will also build and lead a team of ML engineers.

While the high-level technical direction is defined — including petabyte-scale video processing, active learning pipelines, and edge deployment on NVIDIA Jetson devices — the implementation details will be driven by your expertise and technical judgement.

Responsibilities ML Architecture & Technical Direction

• Design and implement the end-to-end ML pipeline, from raw video ingestion to model deployment on UAV hardware
• Evaluate and select appropriate frameworks and infrastructure tools
• Build systems for experiment tracking, model versioning, and reproducible training
• Establish the training infrastructure and ML development workflow
• Make strategic build vs. integrate decisions across the ML stack

Data Pipeline & Curation

• Design video preprocessing pipelines including:
   
  • clip segmentation
  • frame extraction
  • scene detection
  • embedding generation
• Develop data curation workflows to extract high-quality training datasets from large-scale raw video
• Define the annotation ontology and labeling standards for detection, classification, segmentation, and multi-object tracking

Model Development

• Train and improve computer vision models for:
   
  • object detection
  • scene classification
  • object tracking
  • segmentation
• Implement distributed multi-GPU training for large-scale experiments
• Design and implement active learning pipelines including:
   
  • automated labeling
  • confidence-based routing
  • human review workflows
  • retraining triggers
• Define model evaluation metrics and promotion criteria

Edge Deployment

• Optimize models for real-time inference on NVIDIA Jetson hardware
• Implement model optimization techniques including:
  • ONNX conversion
  • TensorRT acceleration
  • INT8 quantization
• Design the model delivery pipeline from training registry to deployed UAV systems

Team Building

• Hire and mentor ML engineers as the team grows
• Establish engineering practices including:
  • code review
  • testing standards
  • documentation
• Own and communicate the ML technical roadmap

RequirementsMust Have

• 5+ years of experience in computer vision and deep learning, including production deployments
• Strong proficiency with PyTorch, including distributed training
• Experience building object detection and tracking pipelines (YOLO, RT-DETR, Detectron2, or similar)
• Experience optimizing models for edge or mobile deployment (TensorRT, ONNX, SNPE, or similar)
• Experience building ML infrastructure and training pipelines
• Strong Python skills and ability to write production-quality code
• Experience leading or mentoring engineers

Nice to Have

• Experience with UAV, drone, robotics, or autonomous systems
• Experience deploying models on NVIDIA Jetson
• Experience with high-performance video processing pipelines (DeepStream or custom)
• Experience in defense or MilTech environments
• Experience defining ML architecture from scratch in early-stage startups
• C++ experience for performance-critical components

What We Offer

• Founding engineering role with direct influence on company technology
• Ownership of the entire ML pipeline from raw data to deployed models
• Access to one of the largest privately owned UAV video datasets in the world
• Dedicated on-prem GPU infrastructure
• Open-source-first engineering approach
• Opportunity to build and lead a machine learning team
• Competitive salary
• Stock options

About Us

Our client is MilTech startup building an on-premises platform for automated annotation of UAV video and training computer vision models for autonomous flight.

We have a strategic partnership with one of the largest Ukrainian UAV manufacturers and access to what is likely the largest privately owned UAV video dataset in the world.

The company is at a very early stage — the funding is secured, the technical vision exists, and the data is available. Our focus now is building the core engineering team to turn this platform into reality.

The Role

We are looking for aComputer Vision / Machine Learning Engineer.

We are looking for  CV/ML Engineer to join as one of the first engineers on the team. You will work closely with the technical lead to build the ML pipeline from the ground up — implementing core components across data processing, model training, and deployment.

This is an early-stage startup, so the tech stack and processes are still being shaped. You will have real input into the tools and approaches we adopt, and your work will directly define how the platform operates. We are looking for someone who is hands-on, curious, and comfortable building things that don’t exist yet.
 

What You Will Work OnData Pipeline & Preprocessing

• Build video preprocessing pipelines: clip segmentation, frame extraction, scene detection, quality filtering
• Implement embedding extraction and data curation workflows for selecting diverse training subsets from a massive video corpus
• Prepare and export datasets in standard formats for training and annotation
   

Model Training & Experimentation

• Train and evaluate computer vision models for object detection, classification, tracking, and segmentation
• Run experiments, track results, and iterate on model architectures and hyperparameters
• Implement data augmentation strategies for robustness across weather, lighting, and occlusion conditions
• Contribute to distributed multi-GPU training pipelines
   

Active Learning & Annotation Support

• Implement auto-labeling pipelines with confidence-based routing
• Build tooling around the annotation platform (pre-annotation, format conversion, quality
• Maintain automated quality checks for label consistency
   

Edge Deployment

• Export and optimize models for inference on NVIDIA Jetson (ONNX, TensorRT, FP16/INT8quantization)
• Run accuracy and latency benchmarks on edge devices
• Help maintain the model delivery pipeline from training to deployment
   

Requirements Must Have

• 3+ years of hands-on experience in computer vision and deep learning
• Solid PyTorch skills — comfortable writing training loops, custom datasets, and model code
• Experience with at least one detection or segmentation framework (YOLO family, Detectron2, MMDetection, or similar)
• Understanding of model evaluation metrics (mAP, IoU, precision/recall)
• Familiarity with experiment tracking (MLflow, W&B, or similar)
• Python as primary language; clean, well-structured code
• Comfortable working in Linux and containerized environments (Docker)
   

Nice to Have

• Model optimization experience (ONNX export, TensorRT, quantization)
• NVIDIA Jetson or other edge/mobile deployment
• Multi-object tracking (ByteTrack, DeepSORT, or similar)
• Experience with video processing pipelines (FFmpeg, OpenCV, decord)
• Data curation or annotation tools (FiftyOne, CVAT, Label Studio)
• Distributed training (DDP, Ray Train)
• UAV / drone / robotics or MilTech domain experience
   

What We Offer

• Join an early-stage team where your contributions shape the product from day one
• Work across the full ML pipeline — not just one narrow piece
• The largest privately owned UAV video dataset in the world — petabyte-scale, impossible toreplicate
• Dedicated on-prem GPU resources — no cloud queues or budget negotiations for compute
• Open-source-first approach with no vendor lock-in
• Growfast in a small team with direct mentorship from the technical lead

PaiDefence is a British-Ukrainian DefenseTech company building air defence systems already deployed on the frontlines. We push real technology to the battlefield — not demos, not paper specs.

We are looking for a Lead Hardware & Systems Engineer to own the full hardware domain — from system architecture through to serial production and stable field operation. You will drive our prototype to a production-ready device, coordinate mechanical and electronics engineers, and set up small-series manufacturing with potential to scale.

Responsibilities

• Architecture & Design — system hardware architecture, component and enclosure selection, thermal management, sealing, rugged design decisions, and technical specifications
• Hands-on Development — hardware bring-up, testing, verification, reliability analysis, and fault investigation
• Industrial Readiness — prototype-to-DFM/DFA transition, production documentation, contractor management, and quality control

• System Integration — integration of hardware with electronics, sensors, and antenna systems; cable architecture; field power; uptime and health monitoring

   

Requirements

• Proven experience in hardware system development
• Track record of taking a product from prototype to serial production
• Strong system architecture skills and hands-on hardware development
• Familiarity with industrial-grade or mil-tech standards

• Understanding of mechanical design and CAD tools

   

Nice to Have

• Experience with rugged solutions for field or industrial environments
• Background in DefenseTech, aerospace, or adjacent domains
• Familiarity with RF components or antenna systems

• English — B1+ (technical documentation, occasional communication)

   

What We Offer

• Real impact — your decisions directly affect the reliability of air defence systems in the field
• Full ownership of the hardware domain from day one
• Deep-tech engineering challenges that don’t exist in the civilian sector
• Office in central Kyiv, 3 minutes from the metro
• Full-time, standard business hours; some tasks may require involvement outside the usual schedule (field testing, critical updates)

Pai Defence is a British-Ukrainian air defence tech company building distributed systems across the frontline. 
Our core value is impact for Ukraine: we build technology that makes a real difference on the actual battlefield, not in labs or on paper specs. We operate with a deep-tech mindset, pushing new technologies where engineering rigor truly matters.
 

We’re looking for an experienced Linux engineer whose primary responsibility will be integrating various SDR (Software Defined Radio) devices into our software platform. 
This is a role for those who love working at the hardware-software boundary, understand how data travels from physical ports to high-level applications, and can make that path as fast and reliable as possible.
 

What you’ll do:

• Integrate different SDR models into a unified Linux-based ecosystem
• Work with vendor SDKs and develop high-performance userspace applications
• Optimize high-throughput data processing in real-time
• Write clean, stable, and performant code in C++ or Python
• Debug inter-process communication, manage buffering and latency

Requirements:

• 5+ years of professional Linux systems experience
• Linux Power User: comfortable in terminal, understands kernel-space vs user-space, knows systemd and driver configuration
• Hardware Interface Expert: hands-on experience with USB 2.0/3.0, Ethernet, or other high-throughput interfaces
• Data Stream Architect: understands IPC principles, ring buffers, memory overflow prevention, and latency minimization for raw data transmission
• C++ Developer: writes reliable code that doesn’t crash on the first unexpected packet from hardware
• English: B2 or higher

Nice to have:

• SDR experience: familiar with RTL-SDR, HackRF, USRP, or has GNU Radio experience
• Experience with ROS/ROS2 (node development, topics/services)
• Understanding of data transmission protocols and digital signal processing (DSP)
• Hobbies related to electronics, radio communication, or robotics

We offer:

• Meaningful, high-impact work in Ukraine’s air defense domain
• Deep-tech engineering challenges where rigor and performance matter
• High ownership and autonomy from day one
• Work format: Kyiv office with occasional remote days
• Senior engineering team with direct communication and minimal bureaucracy
• Full-time position with standard hours; occasional off-hours for testing/updates

We are currently seeking an IT Support Specialist to join a manufacturing company specializing in radio electronics. You will be responsible for ensuring the stable and secure operation of the IT infrastructure, providing user support, and implementing modern solutions to improve internal processes.

Responsibilities

• User support (Windows/macOS): access, VPN, RDP, printers, Microsoft 365.
• Installation, configuration, and maintenance of workstations and peripherals.
• Participation in onboarding/offboarding: accounts, equipment, access.
• Maintenance of equipment database, documentation updates.
• Basic diagnostics of problems, escalation of complex incidents.

Requirements and qualifications

• Experience working with Windows 11 and macOS (installation, configuration, and basic troubleshooting).
• Understanding of Active Directory principles: user account creation/deactivation, security groups, access policies.
• Basic knowledge of Microsoft 365 / Azure AD.
• Experience with VPN clients.
• Knowledge of configuring and maintaining network printers, drivers, and print queues.
• Ability to install and maintain user hardware (laptops, monitors, docking stations, peripherals).
• Basic diagnostic skills for hardware and software issues.
• Understanding of asset management processes: inventory, asset tracking, database maintenance.
• Basic understanding of networking technologies (TCP/IP, DNS, DHCP, VLAN).
• Strong customer service and communication skills; ability to explain technical issues in simple terms.
• Attention to detail, responsibility, and reliability.
• Ability to work effectively in a team and follow SLA guidelines for incident resolution.
• Willingness to learn and grow within the field of system administration.
• English level: Intermediate or higher — ability to communicate with users and read technical documentation.

Nice to have

• Understanding of onboarding/offboarding processes for employees.
• Experience with Intune / MDM or similar device management systems is a plus.

This position offers a unique opportunity to ensure the smooth operation of the IT environment, support a growing team, and implement new technological solutions.

About the Role

We are looking for a skilled C++ Software Engineer to join our team and contribute to the development of complex software systems focused on data processing and mission-critical workflows.

In this role, you will be involved in designing, building, and improving applications, working closely with user requirements, and ensuring reliable system performance in real-world environments.
 

Key Responsibilities

• Design and develop software applications for data processing and specialized system workflows
• Analyse user requirements and translate them into technical solutions
• Test and validate system deployments in customer environments
• Identify, troubleshoot, and resolve software issues
• Contribute to continuous improvement of system performance and reliability
   

Required Qualifications

• Practical experience with C++ (17)
• Strong knowledge of STL and Boost (especially the ASIO part) libraries
• Experience designing system architecture, including multithreading and distributed systems
• Familiarity with version control systems (Git)
• Basic knowledge of CMake
• Proactive, reliable, and able to work independently
• Ability to read and understand technical documentation in English
   

Nice to Have

• Knowledge of TCP/UDP protocols
• Python knowledge
• Experience with PostgreSQL
• Understanding of signal processing (audio, video, etc.)
• Experience with parallel computing (SIMD, OpenMP)
• Familiarity with Qt, JavaScript, TypeScript, or React
• Experience with OpenGL (3.0+) and GLSL
• Experience working with distributed and heterogeneous data systems

We are looking for a Computer Vision Engineer with solid ML/DL experience to join our team on challenging projects.
We consider engineers at Middle and Senior levels - tasks and responsibilities will be adjusted accordingly. 

Required Qualifications:

• 3+ years of experience in computer vision
• High proficiency in Python
• Strong experience with deep learning and the PyTorch framework for computer vision tasks
• Research experience in computer vision with a focus on delivering results
• Ability to work independently or within a small team, with a strong sense of ownership over results

Nice to Have:

• Experience with deep learning solutions for detection, tracking, image retrieval, and segmentation tasks
• Understanding of geometric computer vision principles
• Model optimization: quantization, pruning, neural network compilers
• Hands-on experience implementing low-level CV algorithms
• Experience with sensor fusion (IMU, magnetometer, GNSS, camera)
• Knowledge of C++

As a DevOps, you will play a vital role in ensuring the smooth operation and optimization of our network of IoT devices and Linux server infrastructure. Your expertise will be crucial in planning, provisioning, implementing automation, and safeguarding the security and performance of our systems.

Responsibilities:

Perform Linux system administration tasks, including server setup, configuration, and maintenance.

Monitor server performance, resource utilization, and troubleshoot potential issues to ensure optimal operation.

Implement security measures, configure firewalls, and manage user permissions to ensure robust system security.

Develop and maintain automation scripts using Bash or Python to streamline repetitive tasks and improve efficiency.

Collaborate with the development team to set up and maintain Continuous Integration/Continuous Deployment (CI/CD) pipelines for software deployment and testing.

Manage network configurations, interfaces, and routing to maintain seamless connectivity.

Set up and maintain monitoring and log analysis tools for proactive system monitoring and issue detection.

Implement backup strategies and disaster recovery plans to safeguard data and ensure business continuity.

Collaborate with cloud infrastructure if applicable, and maintain a cohesive hybrid environment if required.

Stay up-to-date with the latest trends and technologies in the Linux and DevOps domain, incorporating relevant innovations into our infrastructure.

Requirements:

2 years.

User Management Service.

RADIUS (LDAP).

Proficient in Linux system administration, with hands-on experience in aarch64 architecture.

Strong scripting skills in Bash, Python for automation and configuration management.

Familiarity with configuration management tools such as Ansible

Experience with networking concepts, protocols (TCP/IP, DHCP, DNS), and firewall configurations.

Knowledge of monitoring tools like Nagios, Zabbix, or Prometheus, and log management tools like ELK stack is advantageous.

Prior exposure to CI/CD pipelines and Git version control is desirable.

Ability to analyze and troubleshoot complex technical issues, providing effective solutions.

Strong security mindset with the ability to implement robust security measures.

Proactive and adaptable, able to thrive in a dynamic startup environment.

Communication and teamwork skills, collaborating effectively with cross-functional teams.

Cyber Harbor is a fast-growing Ukraine-based company founded by engineers and researchers who helped defend critical cyber infrastructure during the war. Our work is shaped by real-world experience, and we build AI-powered systems designed to handle complex, high-stakes environments.

We are looking for a specialist who will help build a strong quality assurance process for our company’s IT products, including solutions in the field of artificial intelligence.

In this role, you will be responsible for full manual testing of our products, evaluating them through the lens of real business and user scenarios. For us, it is important not only to verify that the interface works and that the features match the stated functionality, but also to ensure that the system truly solves user problems, processes data correctly, and generates accurate responses to requests.

We expect the candidate to:

• Demonstrate a high level of responsibility, attention to detail, and an understanding that even minor issues in a MilTech product can be critical.
• Show initiative in their testing approach and not limit themselves to formal feature checks.
• Be committed to continuously developing their QA skills and professional expertise, and communicate effectively with different stakeholders.
• Have 2+ years of commercial experience in Manual QA at the Middle level or above.
• Be able not only to find bugs, but also to identify their causes and sources through log analysis, browser developer tools, debugging, and system behavior analysis.
• Understand how HTTP REST APIs work and be able to use tools such as Postman for testing.
• Be familiar with data formats such as JSON, YAML, and XML.
• Understand the basic principles of working with Git, be familiar with deployments, different environments, and semantic versioning.
• Have a solid understanding of the testing process and hands-on experience with core testing artifacts. 
• Ability to work with requirements, conduct requirements testing and exploratory testing, create checklists, test cases, and bug reports, prepare test run reports, and perform smoke and ad hoc testing. 
• Have experience in requirements analysis, test design, defect tracking, and supporting risk management processes.
• Understand why testing across different environments, operating systems, and browsers is necessary, and how to ensure it is done effectively.
• Be ready to work from the office in Kyiv, at least during the product onboarding stage and team integration.

Not required, but would be a plus if you have:

• Experience working with SaaS products or analytical platforms.
• Any experience in test automation, programming, or writing scripts to speed up tasks.
• Understanding of SQL or Cypher queries.
• Relevant QA certifications.

We offer:

• The opportunity to work on national-scale projects with real practical impact.
• Professional growth in a team of strong specialists. The opportunity to build your own QA team and gradually move into Automation QA, if desired.
• An office in Kyiv with a generator and uninterrupted internet access.
• Military deferment.

About us

Farsight Vision converts flight footage into digital 2D and 3D twins for real-time intelligence in GNSS-denied environment, making analytics and situational awareness convenient and accessible while saving time and effort. We create multi-layered digital twins of terrain with dynamic tracking and object/landscape monitoring and predicting.

We are scaling our cloud infrastructure and looking for a DevOps Engineer who can help us build a stable, automated, and production-ready environment.
 

Responsibilities:

• Design, maintain, and optimize infrastructure in AWS / GCP
• Work with Docker and Kubernetes (EKS / GKS / K3s) in production environments
• Build and maintain CI/CD pipelines (GitHub Actions / ArgoCD)
• Implement monitoring and logging solutions (Prometheus / VictoriaMetrics / Loki / Grafana)
• Support Linux-based production servers and troubleshoot infrastructure issues
• Collaborate with backend and ML engineers on deployments, scaling, and production reliability
• Contribute to Infrastructure as Code (Terraform)
• Advise on cloud security, networking, and high-availability patterns
   

Requirements:

• 5+ years experience in software infrastructure, DevOps, or related role
• Hands-on Docker and Kubernetes experience
• Strong experience with AWS or GCP in production
• Experience building and maintaining CI/CD pipelines
• Experience with monitoring and logging systems (Prometheus / VictoriaMetrics / Loki / Grafana)
• Knowledge of Gazebo and ROS is also an asset
• Experience collaborating closely with development teams on deployment and infrastructure automation
• Understanding of cloud networking and security best practices
   

Why you should join us:

• Join a fast-growing Ukrainian-Estonian defense tech company building AI-powered geospatial intelligence tools used in real defense and security operations.
• Work on technologies that transform drone data into actionable 2D/3D terrain models for situational awareness.
• Collaborate with top engineers and researchers on cutting-edge infrastructure and mission-critical systems.
• Make a real impact on technology used in defense and tactical environments.

We are looking for an Autonomous systems engineer with a background in computer vision, control theory and mathematical modelling. The ideal candidate will have a strong math background, experience with autonomous systems, modelling and control design. 

Required Qualifications: 

• 2 years of hands-on experience with classical computer vision
• Understanding of geometrical computer vision principles 
• System identification and control
• Sensor fusion/signal processing
• Proficiency in C++ and/or experience with Python
• Experience with Linux and single-board computers
• Experience with PID controllers tuning in embedded or autonomous systems
• Ability to quickly navigate through recent research and trends in computer vision and autonomous systems
• Relevant work experience or education in STEM field

Nice to Have:

• Experience with SLAM and/or Visual-Inertial Odometry (VIO)
• Matlab
• Experience with PX4, betaflight, Ardupilot 
• Familiarity with neural networks and common CV frameworks/libraries (OpenCV, NumPy, PyTorch, ONNX, Eigen, etc.)
• Experience with simulation tools (Gazebo, AirSim)
• SITL, HITL testing
• ROS2

We are looking for a Computer Vision Engineer with a solid foundation in classical computer vision and hands-on experience implementing low-level CV algorithms. The ideal candidate will have exposure to SLAM, Visual-Inertial Odometry (VIO), and sensor fusion, with responsibilities adjusted according to experience level.

Responsibilities: 

• Implement and optimize low-level computer vision algorithms under guidance
• Contribute to modules related to feature extraction, tracking, matching, and geometric processing
• Assist in the integration and testing of SLAM/VIO components
• Perform experiments, analyze results, and help prepare reports
• Work closely with senior engineers to explore and apply recent CV research.

Required Qualifications:

• 1+ years of hands-on experience with classical computer vision
• Basic understanding of geometric computer vision principles
• Experience implementing low-level CV algorithms (e.g., filtering, feature detection, camera models)
• Familiarity with SLAM or VIO concepts
• Working knowledge of C++ and Linux
• Ability to learn quickly and navigate recent CV researc
• Degree or ongoing studies in a STEM field.

Nice to Have:

• Experience with Python
• Knowledge of neural networks and CV libraries/frameworks (OpenCV, NumPy, PyTorch, ONNX, Eigen, etc.)
• Experience with sensor fusion techniques
• Familiarity with embedded or real-time systems