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AI Systems Engineer (Edge Computing) IRC216294
| Job: | IRC216294 |
| Location: | Poland - Krakow |
| Designation: | Senior Software Engineer |
| Experience: | 5-10 years |
| Function: | Engineering |
| Skills: | C, Docker, Git, Python, PyTorch, Tensorflow |
Description:
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.
Job 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 We Offer
Empowering Projects: With 500+ clients spanning diverse industries and domains, we provide an exciting opportunity to contribute to groundbreaking projects that leverage cutting-edge technologies. As a team, we engineer digital products that positively impact people’s lives.
Empowering Growth: We foster a culture of continuous learning and professional development. Our dedication is to provide timely and comprehensive assistance for every consultant through our dedicated Learning & Development team, ensuring their continuous growth and success.
DE&I Matters: At GlobalLogic, we deeply value and embrace diversity. We are dedicated to providing equal opportunities for all individuals, fostering an inclusive and empowering work environment.
Career Development: Our corporate culture places a strong emphasis on career development, offering abundant opportunities for growth. Regular interactions with our teams ensure their engagement, motivation, and recognition. We empower our team members to pursue their career goals with confidence and enthusiasm.
Comprehensive Benefits: In addition to equitable compensation, we provide a comprehensive benefits package that prioritizes the overall well-being of our consultants. We genuinely care about their health and strive to create a positive work environment.
Flexible Opportunities: At GlobalLogic, we prioritize work-life balance by offering flexible opportunities tailored to your lifestyle. Explore relocation and rotation options for diverse cultural and professional experiences in different countries with our company.