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BECOME AN EVS-ER
We bring together a deep understanding of data science and technology to solve computer vision and artificial intelligence problems in a unique way. Our team includes a diverse group of problem-solvers and change-makers who are building something transformational.
Our people make us what we are. In EVS you will find a collaborative culture of inclusion, growth, and special attention to interpersonal relationships and teamplay, key aspects for us that we try tirelessly to preserve and improve every day, together. You will be challenged working on innovative projects alongside skilled and collaborative teammates, and constantly being trained to maximize your growth. In EVS, your opinion, sense of initiative and sense of responsibility matter – always.
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EVS designs computer vision software and FPGA IPs on embedded architectures. We are a high-tech company strongly oriented towards research and innovative solutions primarily for the automotive industry, but also other industrial targets such as aerospace, medical and machine vision. We provide design and verification services for FPGA IPs and work with a wide range of technologies.
We are seeking for an experienced FPGA Engineer to focus mainly on computer vision and machine/deep learning projects, covering the entire pipeline, from the design and development to simulation and test. As EVS employee, you will join a challenging and stimulating work environment always open to acknowledge your own ideas and contributions for continuous improvement.
Required qualifications:
- Background in Electronic Engineering or Computer Science with a focus on Computer Architectures.
- Familiarity with computer vision and machine/deep learning algorithms and techniques.
- At least three years of experience working with FPGA and/or ASIC designs.
- Familiarity with the FPGA development flow.
- Knowledge of the Xilinx tool flows is preferrable.
- Expert knowledge of VHDL language. Knowledge of System Verilog language is a plus.
- Experience with Python. Knowledge of MATLAB is a plus.
- Knowledge of C/C++ is desiderable.
- Experience on building bit-accurate software models for algorithms.
- Extensive experience verifying complex designs is desired. Knowledge of UVM is considered a plus.
- Familiarity with the culture of continuous integration and related tools. Expertise with GIT is required.
- Excellent communication skills and ability to work in a highly collaborative environment.
- Fluent English, spoken and written.
Place of work: Verona, Italy.
The EVS company is an equal opportunity employer. Mail us at apply@evsys.it to apply for this position with explicit consent to personal data processing (D.lgs n. 198/2006)
EVS designs computer vision software and FPGA IPs on embedded architectures. We are a high-tech company strongly oriented towards research and innovative solutions primarily for the automotive industry, but also other industrial targets such as aerospace, medical and machine vision. We are looking for talents with experience in computer vision and machine/deep learning to join our team to work on highly innovative projects in the fields of automotive and aerospace. We are looking for passionate people who loves challenges and wants to grow.
You will work in team with highly qualified personnel to study, design, develop and validate image and video analysis methods based on artificial intelligence and machine learning, especially deep learning. Starting from the analysis of the start-of-the-art architectures, you will be asked to study and design deep learning models tailored to tackle actual applicative projects, and to validate them by coping with large training/test datasets. The goal is to find out innovative deep learning approaches in order to maximize performance while optimizing and containing the computational cost (memory and processor usage) and the use of computing resources. This target will be achieved by aside-by-side work with FPGA/hardware specialists, who will support the development of such models.
Required qualifications:
- Significant experience in Machine and Deep Learning.
- Significant experience in Computer Vision and Image Processing.
- Experience in Software development using Python (SciPy, NumPy, OpenCV, Pillow, etc.).
- Experience with development frameworks for machine learning such as TensorFlow/Keras and PyTorch.
- Experience on training a model from scratch and model fine-tuning.
- Knowledge on model optimization techniques for latency and memory footprint.
- Knowledge of state-of-the-art NN architectures such asResNet, MobileNet, YOLO, etc.
- Knowledge about object detection and classification, human pose estimation, semantic segmentation.
- Problem-solving, analytical and critical thinking skills.
- Excellent communication skills and ability to work in a highly collaborative environment.
- Fluent English, spoken and written.
Place of work: Verona, Italy.
The EVS company is an equal opportunity employer. Mail us at apply@evsys.it to apply for this position with explicit consent to personal data processing (D.lgs n. 198/2006)
EVS embedded Vision Systems designs computer vision and machine/deep learning solutions on embedded architectures. We specialize in high-performance embedding Computer Vision algorithms and FPGA/ASIC design technology to accelerate Machine Learning inference; our expertise is recognized and valued by customers and partners worldwide.
We are seeking a passionate software engineer who loves challenges and wants to grow working in a team composed of academic and industry scholars, highly qualified and engaged in computer vision and machine/deep learning products.
Our ideal candidate should demonstrate intense collaborative skills, thoughtful/disciplined execution, and a tenacious commitment to continuous improvement.
Required qualifications:
- Background in Computer Science or Electronic Engineering.
- Significant skills in Machine and Deep Learning, Computer Vision. Desired familiarity with frameworks for edge computing.
- Proficiency in Object-Oriented software development using modern C++ and Python.
- Experience with embedded development and code optimizations. Desired familiarity with kernel/user space driver development and real-time Linux solutions.
- Problem-solving, analytical, and critical thinking skills.
- Familiarity with the culture of continuous integration and related tools.
- Excellent communication skills and ability to work in a highly collaborative environment.
- Fluent English, spoken and written.
Place of work: Verona, Italy.
The EVS company is an equal opportunity employer. Mail us at apply@evsys.it to apply for this position with explicit consent to personal data processing (D.lgs n. 198/2006)