Total 22 reservoir engineer job vacancies in Bangalore:

Mandatory Skills:

4 to 6 years administration experience in GCP cloud Infra and Terraform.

Job Description

• Conduct a detailed assessment of the cloud platform infrastructure
• Design High-level deployment Cloud architecture in GCP.
• Create and Configure the GCP projects
• Create and Configure GCP network infrastructure layout and GCP Project model
• Setup Central GCP Management project for hosting Common Services.
• Define Code repository structure and Continuous Integration as well as continuous deployment approach of Infrastructure.
• Configure the Security Command center and implement the firewall rules.
• Implement Central Code Repository in GCP to maintain Terraform and application sources.
• Development of Terraform Modules for core GCP infra components including VPC, subnets and security groups.
• Integration of Terraform Modules with Custom Parameters as per defined sizing
• Development of Terraform Modules for Cloud DBs like PostgreSQL, Cosmos DB, MySQL with custom parameters.
• Development of Terraform Modules for Google Kubernetes engine (GKE).
• Development of Auto scaling policy for GKE & Cloud DB.· Build Cloud build & Continuous deployment pipelines (CI/CD)
• Integration of Customer Portal with Central DevOps pipelines.
• Implement centralized cloud monitoring dashboard and configure the metrics

Mandatory certification (if Any):GCP - Associate Cloud Engineer trained or certified.

Good to have skills:

Exposure to Grafana and JenkinsAzure Cloud Infrastructure, CI/CD, Release ManagementAWS Cloud Infrastructure, CI/CD, Release Management

Position Overview: Packaging Engineer is a key member of the supply chain and logistics team responsible for packing design and deployment in the organization. This role involves working closely with cross-functional teams, project managers, IT personnel ensuring the sustainable, robust and transportation worthy packing from source to till the final products are delivered to the customers.

Position Overview: Packaging Engineer is a key member of the supply chain and logistics team responsible for packing design and deployment in the organization. This role involves working closely with cross-functional teams, project managers, IT personnel ensuring the sustainable, robust and transportation worthy packing from source to till the final products are delivered to the customers.

Responsibilities:Conceptualization and Design:Generate creative packaging concepts based on brand guidelines and market trends. Develop 2D and 3D packaging designs that effectively communicate product features and benefits.

Brand Alignment:Ensure that packaging designs align with the overall brand identity and messaging. Collaborate with the marketing team to understand brand strategy and incorporate it into packaging designs.

Prototyping and Testing:Create prototypes and mock-ups to test the feasibility and functionality of packaging designs. Gather feedback from cross-functional teams and make necessary adjustments to designs.

Regulatory Compliance:Stay informed about packaging regulations and ensure that designs comply with industry standards and legal requirements.

Collaboration:Work closely with product development teams to understand product specifications and incorporate them into packaging designs. Collaborate with the packaging vendor to ensure the feasibility of manufacturing the designed packaging.

Cost Saving:Identify the potentials for cast savings projects through improve the pack density optimization, exploring the new sources to bring competition in the existing vendor bases, alternate packing solutions, returnable packaging etc.

Vendor management:Vendor development through trainings, identifying the new vendors, quality validations, etc. Playing an important role in contracting for one way and returnable in collaboration with purchasing.

Bench-marking:Getting update on market trends. Benchmarking within Bosch and other automobile sectors

Digitization:Integration of the ERP and Non ERP data. Visualization of KPIs ( E.g. power BI )Implementation of EPR guidelines as per Govt. regulatory terms.

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 have1. 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

• Tester with 5-7 years of experience.• Must possess sound knowledge in Testing methodologies and processes.• Experience in Test Automation concepts.• Must have working experience on Selenium C#.• Must have working experience on SQL and good with SQL queries. • Good to have Dynamics CE experience.• Good to have worked on Easyrepro automation framework.• Must have hands on experience of Test case design, Test Execution, Defect Logging and Reporting.• Must have good communication skills (oral / written) to communicate efficiently with different stakeholders and Customer to discuss on project topics.• Must be able to work independently and self-driven individual who can adopt to situations and understand the application/domain.• Good analytical ability to resolve any issue.• Good to have experience in implementation of CI/CD.

Job Description:

• As a data management solution engineer you will design, develop and operate cloud native data management solutions with data pipelines for ingest, processing and transforming data from the vehicle fleet to feature development teams.
• As a data management solution engineer you will follow design principles to enable high scalability of the solution for handling large data volumes seamlessly and in a cost-efficient manner.
• As part of the data management solution, you would also be required to identify and develop value added services based on the data collected using efficient data analysis methods & practices.
• As a data management solution engineer, you would be required to identify and enable new features into existing data management system for multi project variants.
• The data management solutions shall enable function development teams to seamlessly make use of the collected and derived data for use in their feature development viz. MLOps workflow.
• You will be part of an agile development team to define, develop and deploy the solutions.

Qualifications:

• Master's degree/ bachelor's degree in computer science or information science OR equivalent engineering stream
• Experience: 6+ Years' experience in large scale Data management domain

Additional information: Mandatory Skills & experience in:

• Very strong programming skills in Python
• Hands-on experience with architecting and development of features using service application principles.
• Hands-on experience with cloud native deployment of Services viz. Docker, k8s, etc.
• Experience with DevOps, data pipelines and various messaging systems (Kafka) on a Cloud native setup (preferably Azure)
• Experience with storage technologies (NoSQL, etc.) and cloud native data base and optimization methods.
• Experience in designing data models & data formats.

Preferred Skills & experience in:

• Good working knowledge in Azure
• Good understanding of cloud native database solutions (e.g. CosMosDB)
• Experience with data collection from fleets and data ingestion, processing and transformation in data loop for deep learning
• Motivating attitude, profound communication, strong interpersonal skills, structured and analytical.

• Experience in Embedded Automotive Software Development.
• Hand-on experience in Programming Languages (C / C++), Model-Based Development (Matlab, Ascet)
• Understanding of sensors (INS, Pressure, Vaccum, Steering Angle)
• Know-how and understanding of different vehicle components and operations
• Understanding of SW development life cycle (V Model / Agile )
• Experience in Requirements Management Tools like DOORS, Design, SCM Tools like ClearCase/RTC/ALM/MKS, and Unit Test Tools like CANTATA, and Debuggers.
• Knowledge of Automotive Safety Standards (ISO26262) and Processes (ASPICE).
• Logical, Analytical, and Debugging/Problem-Solving skills
• Awareness of EV / Autonomous vehicle functions would be an added advantage
• Knowledge of Automotive Protocols for Communication (CAN, FlexRay) is added advantage

We are looking for a talented and motivated data science engineer to join our team. The ideal candidate will have a strong understanding of data science principles and practices. The data science engineer will work closely with data scientists and other stakeholders to gather requirements, design data solutions, and build and deploy machine learning models.

Responsibilities:

• Design, build, and maintain data pipelines.
• Develop and implement data processing and transformation logic.
• Work with data scientists and other stakeholders to gather requirements and design data solutions.
• Automate data-related tasks.
• Monitor and troubleshoot data pipelines and systems.
• Stay up to date on the latest data science and engineering technologies.
• Build and deploy machine learning models.
• Communicate effectively with technical and non-technical audiences.

Qualifications:

• Bachelor's degree in computer science, data science, or a related field
• 5-7 years of experience in data science engineering
• Strong understanding of data science principles and practices
• Experience C++, Python, and other programming languages.
• Experience with data warehouse and data lake technologies.
• Experience with cloud computing platforms (AWS, Azure, GCP)
• Excellent problem-solving and analytical skills
• Strong communication and teamwork skills
• Experience with machine learning frameworks (TensorFlow, PyTorch, scikit-learn)
• Hands-on experience in model creation, training, and validation
• Strong C++ and/or Python coding skills

Job Description

• Good knowledge and working experience in

Tool design and development.

• Good know-how and Hands-on experience in programming language

Python and basic knowledge on C#.NET.

• Understand, Plan, Implement the change requirement efficiently with customer and team.
• Work on Support issues adhering to SLA and regular interactions with counterparts and Tools users to solve tools issues.
• Should have passion and motivation to build career in

Design and development of Tools and good knowledge on language Python and basic knowledge on C#.NET.Mandatory Skills:

• Strong experience in working with

Python and its Libraries.

• Knowledge of any version control Systems (Git, ALM, SVN..)
• Experience in

any of the Testing Frameworks (Unit Test, PyTest).

• Strong ability to

understand requirements, design, develop and co-ordinate for Tool Development (Complete Ownership)

• Good and self-confident

communication towards users and team.

• Ability to

work independently.Added advantage:

• Automotive

Industry Experience with basic know-how on HiL/SiL Systems.

• Testing tool development

experience.

As an Embedded System Test Engineer for Safety System (such as: ABS/ESP/iBooster/IPB), your main responsibilities are:

• Setting up of Test environment, Test planning, Test design, Test Execution, Defect reporting, Test status reporting & Test closure activities
• Analyse the requirements, apply the appropriate test design techniques and guidelines to prepare the required test specifications and execute test cases with respect to requirements
• Ensure that the test specification is up to date as per the change request and establish bidirectional traceability and consistency between change request and the test specification
• Initiate the review and ensures completion and if required get involved in the peer reviews, fix the review findings if any
• Baselines the test specification as per the configuration management strategy and tool
• Perform Regression Tests on new Software Releases & report discrepancies
• Support Test Manager/Architect for creating the Overall Test summary report and highlight the risk due to defects found

Qualifications

• Major in Electronics & Communication Engineering/Mechatronics Engineering/Automotive Engineering/Computer Engineering/Information Technology or related fields
• Have 3-5 years of experience in Software Testing
• Good knowledge of Micro-controllers and Embedded system
• Should have passion and motivation to build career in Test System/Automotive domain
• Previous exposure on closed & open loop test systems (HIL/SIL) is desired
• Knowledge about toolchain of CC-AS Test System is an advantage
• Familiar with software development tool chain like ALM, DOORS, HP Quality Center or equivalent tools
• Scripting languages like PERL, Python etc.
• AUTOSAR knowhow
• Vector tools like CANOE, CANALYZER etc.
• MATLAB and Simulink models

• Candidate should have hands-on experience in JMeter performance testing tool. Excellent skills for troubleshooting and fixing day to day issues.
• Experience in Performance Test Strategy Definition, Planning, and Design.
• Experience in Cloud migration projects is desirable.
• Programming Knowledge to write plug-ins as required by project.
• Performance result analysis and reporting
• Ability to do Non functional requirement gathering from customer.
• Planning and Estimation of performance test tasks.
• Work with architects and technical team members to define SLAs.
• Handling customer interactions
• Strong problem solving & troubleshooting skills
• Strong communication skills

• Tester with 5 to 7 Years of experience possessing sound knowledge in Testing methodologies and processes.
• Must have hands on experience with US eCommerce Domain.
• Must have working experience in OMS (Order management system) and well versed with POS systems.
• Must have working experience in Web and Mobile application testing
• Must have hands on experience in Salesforce Commerce Cloud (SFCC).
• Must be able to understand and describe retail/eCommerce flows in detail.
• Strong hands-on experience in Automation (Selenium Java) along with BDD frameworks.
• Working experience on mobile test automation using Appium
• Well versed with compatibility testing (browser/OS/etc)
• Must have good communication skills (oral / written) to communicate efficiently with different stakeholders and Customer to discuss on project topics.
• Good analytical ability to resolve any issue.
• Good to have Hybris experience in relation to eCommerce domain.
• Willing to work in US shift (1 to 9 PM)

- Design, modify, and maintain Analog circuits for Automotive braking systems products.- Perform circuit calculations (Ex: Mathcad) and circuit simulations (Ex: Saber).- Ability to analyze impact of Electronic component changes in circuits .- Follow the well-defined product development lifecycle, which encompasses responsibility ownership to maintain HW layouts and circuit modules.- Make innovative proposals and suggest cost improvement in circuit design/product strategy- Interact with stakeholders from ECU customer team and function team to take care of aspects related to safety / thermal / reliability etc.- Able to test and do measurements in the lab.Technical Skills needed- Excellent knowledge of Electronic Circuity Theory.- Knowledge of analog circuit design for power supply, ADC monitoring, CAN circuits- Design knowledge of Gate Drivers, Motor Drives, DC-DC, Boost converters, LVR, MOSFET, etc- Experience in using the laboratory measurement equipment’s (CRO/ Multimeter/ Load boxes...)Additional Technical Skills desired- Understanding of CAN communication protocol- ECU development process overview in Automotive development

• 4-6 Years

of Experience in Cloud Environment involving Cloud Deployments, Administration, Devops

• MUST HAVE 2+ years

in creating-managing Azure Kubernetes clusters(AKS)

• MUST HAVE Hands on experience in

Automation deployments using Ansible OR Terra farm.

• Experience in deploying -configuring scalable web applications using Azure cloud services -Azure VMs, File system management, Azure blob or S3 storage ,Azure AD, Load Balancers.
• Experience in Azure

Cloud Administration-developing and overseeing the systems monitoring, backup, replication, clustering and fail over strategies.

• Experience in

Linux VM administration ,managing web services, automation /Scripting using Bash,Python

• Support the compilers (ARM, GHS, TI etc.,)
• Perform C/C++ function/library qualification with compiler options
• Develop Test cases to effectively Validate Compilers releases & identify the Defects & avoid them to leak-out to project & save Re-work Cost.
• Have regular Technical Debug Sessions to analyze and resolve the Issues reported in the Compilers & provide the On-time solution to our Customers
• Staying abreast of developments in web applications and programming languages.
• Basic knowledge of German language will be an added advantage
• Excellent written and oral communication in English
• Scripting and Automation using any scripting language is an added advantage

Monitoring, Tracking and resolving tickets/Problems, Change as per SLAAdditional InformationMandatory Skills:

6-9 years of experience working with compiler technology

Experience in Embedded C/C++ programming

Excellent coding, problem solving and analysis skills

Ability to dive into and work with large code bases.

Good Communication skills

Ability to work independently

Should have passion and motivation to build career in the Build Tools domain

Experience working in agile team