System Engineering Experts

2-10 years
a month ago 2 Applied
Job Description

Job Description

JD for Control SME


  • Research market trend and Drive initiative for new concept development
  • Design and develop algorithms in area of vehicle dynamics and mathematical modelling
  • Mentor and guide team for designing, developing and validation of software applications
  • Collaboration with internal teams and customers within a production program
  • Contribute best practices for software development

Mandatory Skills:

  • Excellent system knowledge of Vehicle Dynamics or Brakes or Suspension system or Steer system
  • Experience Software development life cycle for Chassis or ADAS motion control
  • Proficiency in vehicle dynamics lateral/longitudinal/vertical dynamics
  • Experience in Control design and Mathematical modelling
  • Expertise in System level Simulation and analysis
  • Experience with production program execution
  • Familiarity of functional safety concepts and ISO 26262 is desired
  • Model based development/Application development experience
  • Excellent communication, collaboration, analytical and problem-solving skills

JD for Cloud SME


  • Solid understanding of SDLC
  • Strong working knowledge of Jira or similar project management software
  • 5 years experience with secure data services and general internet security
  • Proven ability to design plan and execute major components for a system independently
  • 2 years experience in Cloud Computing for webapps and storage (preferred in Microsoft Azure or Amazon Web Services but Google acceptable)
  • 3 years experience with NoSQL, Table or similar scalable solutions
  • Min 10 years programming experience in C, C++, C#, Python, or java
  • Min 3 years programming experience in Java Spring Boot
  • Proven track record of shipping server-based products


  • Ability to design and create scalable storage solutions in Microsoft Azure or AWS technologies
  • Ability to lead by understanding the overall needs of the company and being able to develop strategies and tactics required by the organization to align to the company's needs.
  • Communication abilities including verbal and written communication, the willingness to discuss questions or uncertainties in job assignments and to be able to positively interact with co-workers.
  • Excellent problem-solving skills and ability to thrive in a fast-paced environment
  • test driven development focus and experience
  • proven strong architectural skills with proven record for building production, scalable, maintainable server solutions
  • Excellent client-facing and internal communication skills
  • Excellent written and verbal communication skills
  • Ability to develop solidly testable components for Java REST API
  • Ability to program in Java/ Python.
  • Ability to provide guidelines for automated testing
  • Ability to work with Azure or AWS configuration and management portals
  • Ability to drive, plan and organize projects independently

Nice to Have:

  • Strong database design (relational as well as non-relational) experience.
  • Abstract thinking skills to create solutions along with the ability to write exemplary code
  • Working knowledge of build pipelines and DevOps tools with multi-regional deployments
  • Experience with application monitoring, end-to-end telemetry, and operations at-scale, preferably in a cloud environment
  • Working experience of IoT based solutions for remote device management
  • Experience with running microservices and container-based workloads in production

JD for C++ SME


  • Design, build, and maintain efficient, reusable, and reliable C++ code
  • Implement performance and quality modules: Optimize code for speed, memory usage, and responsiveness.
  • Identify bottlenecks and bugs: Debug and troubleshoot issues to ensure smooth functionality.
  • Help maintain code quality, organization, and automation: Contribute to best practices and code standards

Must Have Skills:

  • Good knowledge on C++ development
  • Good knowledge on Algorithm development
  • Good knowledge on AD/ADAS system is an added advantage
  • Good knowledge on embedded systems and embedded communication protocols
  • Preparing presentations of statistical data analysis and developing controls software solutions.
  • Problem fixes in existing components/ new software
  • Development of problem solutions and realization of solutions in close cooperation with internal and external development partners.
  • Ability to communicate with cross functional teams, customers and resolve technical issues at system level.
  • Experience in Technical Proposal creation and efforts estimation.



  • To research, modify, and apply data science and data analytics prototypes.
  • To create and construct methods and plans for machine learning.
  • Employing test findings to do statistical analysis and improve models.
  • ML systems and models should be trained and retrained as necessary.
  • To improve and broaden current ML frameworks and libraries.
  • To create machine learning applications in accordance with customer needs.
  • To investigate, test, and put into practice appropriate ML tools and algorithms.
  • To evaluate the application cases and problem-solving potential of ML algorithms and rank them according to success likelihood.
  • To better comprehend data through exploration and visualization, as well as to spot discrepancies in data distribution that might affect a model's effectiveness when used in practical situations.

Must Have Skills:

  • Expertise in image processing/computer vision algorithms.
  • Expertise in deep learning and machine learning techniques.
  • Good understanding on: Advanced math and statistics knowledge, particularly in the areas of calculus, linear algebra, and Bayesian statistics.
  • Experience / understanding of Optimizations performed on ML/DNN models
  • Sound knowledge of Machine learning and Deep neural network frameworks like Tensorflow, pytorch, caffe, caffe2
  • Experience in Neural processing engines SNPE,TIDL etc will be an added advantage.
  • Good programming skills in Python, C/C++.
  • Self-motivated to learn and explore new areas.

JD for Functional Safety


  • Evaluating system designs, safety mechanisms, fault handling techniques, diagnostic methods and testing methodologies for functional safety compliance
  • Performing Functional Safety confirmation reviews
  • Knowledge of ISO 26262 standard and its application
  • Knowledge of different automotive electronic systems and their working

Must Have Skills:

  • Strong work experience in system engineering or software engineering in Automotive / Aerospace industry.
  • Experience with automotive / aerospace electrical or electronics products and their controls
  • Understanding of safety standards like ISO26262, IEC 61508 etc.
  • Vehicle level experience is a plus.
  • Experience with safety analysis techniques (FMEA, FTA, HARA)
  • Reliability engineering knowledge a plus.
  • Experience in developing technical processes, procedures, guidelines, and templates a plus.
  • Good communication skills; ability to explain concepts to other engineers.
  • Training skills for technical processes

Required SkillsMachine Learning/Deep Learning, Cloud,C++ Developers,Embedded Autosar Developer,Functional safety,HISupported SkillsADAS






Operations at-scale
Problem fixes
Functional safety concepts
Java Spring Boot
ADAS motion control
Build pipelines
Efforts estimation
Technical Proposal creation
Diagnostic methods
System designs
Safety mechanisms
Data exploration
Advanced math
Reliability engineering knowledge
Safety analysis techniques
Neural processing engines
Test findings
IoT based solutions
Steer system
ISO 26262 standard
Machine learning applications
AWS configuration
Multi-regional deployments
Server-based products
End-to-end telemetry
Cloud environment
Embedded communication protocols
Functional Safety compliance
ML tools
Computer vision algorithms
ML algorithms
Maintainable server solutions
Management portals
Functional Safety confirmation reviews
Fault handling techniques
Secure data services
Automotive electronic systems
Container-based workloads
DNN models
ML libraries
Preparing presentations
Technical processes
Suspension system
ML frameworks
System level Simulation
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