AI Systems Engineer IRC216136 in GlobalLogic

GlobalLogic is inviting an experienced AI Systems Engineer 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.

#LI-Remote #LI-IB1

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!

Various types of cooperation — comfortable office or remote collaboration from home, opportunities for relocation — all depend on your preferences. We will support you at every stage of these processes and do our best to help you feel comfortable!

Support of health and sports activities

We care about the physical and mental health of all specialists. Every specialist can choose the most relevant option for themselves:

• Medical Insurance — our partners provide our consultants with special health insurance packages, which include both doctor’s visits and massage courses. Also, our specialists have special conditions for special insurance for loved ones, insurance during travel, and transport insurance.

• Wellbeing Deposit — this deposit allows you to buy sports equipment for the home and uniform, go to the gym, etc. It is also possible to visit a psychologist, attend massages and spa treatments, and even subscribe to fitness applications for a mobile phone or online training related to physical and mental health.

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! Moreover, we have various internal courses, programs, and possibilities to boost your skills.

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

In today’s 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: automotive, media, industrial, and healthcare.

Sustainability and Social Responsibility

We positively impact our communities by supporting education, the environment, and developing women in tech.

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 communities. Feel free to find new friends, boost your skills, and grow professionally!