Split your time roughly 50 % algorithm design / 50 % infrastructure code, mainly in Python with supporting C++
Build sensor-physics models (camera, LiDAR, radar), motion-planning or control algorithms, and data-visualization tools that run locally and in the cloud
Package, test and deploy your code in Docker/Kubernetes environments; participate in code reviews and CI/CD flows
Work shoulder-to-shoulder with Simulation, Computer-Vision and Cloud engineers to deliver production-grade releases

B.Sc. in Electrical/Computer Engineering, Physics, Mathematics or similar
Up to 3 years of hands-on algorithm development (industry, research or military)
Strong coding skills in Python; working knowledge of C++
Solid foundations in linear algebra, statistics and optimization
Familiarity with robotics, control theory or numerical simulation
Quick learner, excellent communicator and real team player

Experience with game engines (Unreal / Unity) or robotics sims (ROS 2, Isaac Sim, PyBullet)
GPU acceleration (CUDA, Numba) or deep-learning frameworks (PyTorch, TensorFlow)
Knowledge of computer vision or signal processing
Linux, Git, Docker and cloud skills

Front-row seat to the next generation of autonomous-system simulation and GenAI data augmentation
Agile startup culture with real ownership of features that ship to tier-one automotive, defense and robotics customers
Competitive compensation, stock-option plan and flexible work arrangements

Ready to accelerate autonomy?
Send your CV to cv@cognata.com with the subject “Junior Algorithm Engineer”.

(Only suitable candidates will be contacted.)

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