GlobalLogic is inviting an experienced AI Systems Engineer (Edge Computing) to join our engineering team.

Continuation of the project related to self-driving cars.

Requirements:

Core Technical Skills

• Machine Learning and Deep Learning: Solid understanding of ML and deep learning principles, algorithms, and architectures. Familiarity with a range of models, including but not limited to CNNs, RNNs, and transformers, across various applications like image processing, natural language processing, and predictive analytics.
• Model Conversion and Optimization: Expertise in converting ML models to ONNX format for interoperability and further optimizing them using NVIDIA TensorRT for high-performance inference on NVIDIA Jetson devices.
• NVIDIA Jetson Platforms: Hands-on experience with NVIDIA Jetson Nano, TX2, Xavier NX, or AGX Xavier, including setup, configuration, and performance tuning. Knowledge of Jetson software stack, including JetPack SDK.
• Dependency Management: Proficiency in solving dependencies and compatibility issues during model conversion and deployment, including library versions, CUDA, and cuDNN dependencies.
• Programming Languages: Strong programming skills in C++, with experience in Python being a plus. Proficiency in using PyTorch, TensorFlow, or other deep learning frameworks for model development and training.
• Environment and Tools: Familiarity with Docker and virtual environments for managing project dependencies. Experience with version control systems, preferably Git, for code collaboration and versioning.

Would be a plus

• Edge AI Applications: Understanding of Edge AI concepts and experience in deploying AI solutions on edge devices, optimizing for low power consumption and latency.
• Data Preprocessing: Skills in data augmentation, preprocessing, and transformation techniques to prepare datasets for efficient training and inference on edge devices.
• Benchmarking: Experience in conducting benchmarks to measure model performance (e.g., inference speed, accuracy, power consumption) on NVIDIA Jetson platforms.
• Troubleshooting: Ability to troubleshoot and debug hardware and software issues, including performance bottlenecks and memory constraints on edge devices.

Responsibilities:

• Solution Porting:

Leading the efforts to port existing machine learning solutions to NVIDIA Jetson hardware, ensuring compatibility and stability.

Collaborating with ML engineers to understand the intricacies of the models and algorithms being ported.

• Performance Optimization:

Optimization of machine learning models and algorithms to leverage the unique hardware features of NVIDIA Jetson, such as GPU acceleration, to enhance performance and efficiency.

Implementation optimizations such as model quantization, pruning, and TensorRT conversion to improve inference speed and reduce model size.

• Integration and Testing:

Integration of optimized models into the target hardware environment, ensuring seamless operation within the customer’s existing ecosystem.

Conduct thorough testing and validation to identify and resolve any performance bottlenecks or compatibility issues.

• Collaboration and Communication:

Serve as the primary liaison between the machine learning engineering team and hardware specialists, facilitating clear communication and collaboration across these disciplines.

What Do We Offer?

We create an environment where everyone can fully realize their talents, freely share knowledge and experience, and create truly important things. Happy people create revolutionary products. We believe that we are able to change the world for the better — and we, as a company, help our specialists grow and be truly happy!

Keep the balance. Work-life balance!

You will have the opportunity to choose where you want to work – at a comfortable office or at home. The choice is not limited to “where”, but also “when” - all of that because of flexible working hours. We will help you to ensure your work-life balance.

Support of health and sports activities

We care about the health of all specialists. Every employee can take advantage of the following:

• Private medical care – your well-being is crucial to us. You can choose one of many options, including the one which takes care of your loved ones.
• Multikafeteria platform – this feature allows you to use sports facilities cards, attend cultural events or buy sports equipment or books. You choose from a vast variety of possibilities.
• Life and travel insurance – our partners provide our consultants with a special group life insurance package.

Relocation Program 

We encourage you to discover a brand-new experience. GlobalLogics offices in EMEA regions will meet you with maximum hospitality and the same corporate culture, processes, and possibilities.

Learning and professional growth! 

You’ll collaborate with — and learn from — award-winning designers and engineers through customer projects, hackathons, meetups, and more. Listen to the top speakers or be one of them — it’s up to you! 

Create more than just a code. Make an impact beyond the code! 

In todays world, software engineers create a better future for people and the planet. GlobalLogic’s experts are contributing to this world right now in various projects: from automotive to healthcare!

Sustainability and Social Responsibility

We positively impact our communities by supporting education and the environment, and by developing women in tech, and the arts. For example, learn more about our EcoHike — a special app that makes the world cleaner! Not only our engineers, but tourists, eco-activists, and hiking fans are using it regularly to keep our nature clean and vital.

Technology first!

Realize all your ideas within our internal tech clubs and groups. Feel free to find new friends, boost your skills, and grow professionally!