Applied Computer Vision Engineer- Automated Driving
Location
Bangalore | India
Job description
Bosch Global Software Technologies Private Limited is a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 22,700 associates, it’s the largest software development center of Bosch, outside Germany, indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe and the Asia Pacific region.
Job Description
A typical day in office: 1.You are developing video perception algorithms for unsolved problems in the technology area perception for autonomous drive vehicles.
2.You have to explain why something works or not using data. And what next for the things not working with the reduced cost of labelling.
3.You have to find that elusive data through innovative algorithms,
your job would involve.
- Looking at the nature of the data
- Current AI/DL algorithm performance
- Derive insights or patterns in failures
- Define a hypothesis for the solution making.
- Define Experiments for hypothesis testing
- Define/Review the techniques/methods in deep learning for experiments.
- Analyze the results of experiments
- Define the next set of data or experiments forward
- Define the targets for the current sprint
- Review, Agree on the experiments
- Ensure delivery with the right process for quality
Qualifications
:
- Strong technical background. At least a Bachelors/Master of Engineering in Computer Science or Electrical Sciences or related areas with 4 years of industry experience in designing and implementing perception algorithms.
- You are a skilled software engineer with experience in C++ and strong problem-solving skills.
- You are passionate about solving real-world robotics problems, and you have ideally worked on autonomous robots before. Prior knowledge of working with deep neural networks is a strong plus.
- A team player. You take ownership and work with the team to deliver exceptional results.
- You are interested in the performance of the entire system across engineering disciplines.
- Ability to build and iterate quickly (AGILE mindset). You enjoy working fast and smart, and you are comfortable in the earlier stages of developing an algorithm from scratch.
- Hands on. You dig deep into important details such as the sensor driver if it improves the overall system. You like working with production machine learning pipelines, from dataset collection and labeling to training and validation.
- Great communicator. You have experience writing clear, concise, and detailed documentation.
- Should be able to explain technical solutions clearly to non-technical/different audience.
- Problem solver: You are expected to solve systemic problems.
Skills: Must have 1. Strong knowledge in DL (3 yrs min) (few-shot learning, transfer learning, unsupervised and semi-supervised methods, active learning and semi-automated data annotation, large scale image and video detection and recognition)2. Hands on experience in Full stack Vision/Image related projects in production (3yrs min)
- Data: Spark, Hadoop (user level), visualization, data preparation, data handling, understanding data
- Model: tensor flow 2+ and PyTorch.
- Deployment: docker, flask, Kubernetes
- Cloud deployment: Azure/AWS3. Experience in Python4. Tool:
- GIT
- Working with GPU
- Linux
Good to have:
- Coding:
- Multi-processing and multi-threading (application)
- Understanding of and C++ (for development and deployment)
- Sound knowledge of custom accelerator deployment (Open VINO, Jetson)
- Tooling:
- Good understanding of Visual studio code
- CUDA, RAPIDS, OpenMP, Distributed Systems and HPC application design
Qualifications
BE/ME Computer Science or Electrical Sciences
Additional Information
6 - 8 years
Job tags
Salary