• Implementation of system to component requirements, unit test cases-HIL/SIL, software integration and delivery
• Proven track record of problem solving and debugging on actual hardware
• The candidate is expected to be conversant with Agile methodologies and tools while having a track record of delivering products in a production environment
• The candidate is expected to be experienced in edge specific machine learning libraries and platforms, memory and time optimization
• Recommend, set up, integrate, and utilize development environments and frameworks as required for business and data engineering needs
• Recommend and set up appropriate performance monitoring solutions; author and implement based on the results
• Document and demonstrate solutions by using flowcharts, diagrams, code comments, code snippets, and performance instruments.
• Author high-quality, highly-performance, unit-tested code based on business and data engineering needs and participate in code reviews
• Work directly with stakeholders, engineering, and test to create high quality solutions that solve end-user problems.
"

Qualifications:

• Batchleros / Master's degree in Electronics, Electrical
"
• 5+ years of progressive experience in delivering technology solutions in a production environment
• 5+ years of experience in the emebdded systems as a developer, with a proven track record of shipping high quality products
• 3+ years of experience with modelling tools MATLAB/simulink, automatic code generation, HIL testing
• High level analytics ability, understanding engineering theory and principles of design"

• Batchelors / Master Electronics, controls or Equivalent Engineering with electives/Thesis in embedded systems, model based design

Skills:

• Experience in model based design
• Experience in embedded systems development and troubleshooting and with real-time operating systems
• Proven track record of problem solving, system integration, verification and validation
• Progamming Knowledge - MATLAB, Simulink, Embedded C/C++, python
• SW Development life-cycle process & tools
• Agile development methodologies and concepts including hands on with Jira, bitbucket and confluence.
• Knowledge on software compliance metrics, standards
• Experience with Ethernet, CAN, modbus, TCP/IP
• Basic knowledge on AI/ML, edge specific machine learning libraries
• Knowledge of IoT technologies
• Experience in Design Thinking or human-centered methods to identify and creatively solve customer needs, through a holistic understanding of customer's problem area"

"• Excellent verbal and written communication skills including the ability to effectively explain technical solutions as a part of virtual and global teams
• Good interpersonal, negotiation and conflict resolution skills
• Ablity to understand academic research and apply new data science techniques
• Experience being part of larger teams with established big data platform practices, as well as smaller teams where they made a bigger impact in terms of scope.
• Experience of working with global teams work while using strong communication skills to interact with global teams.
• Innate curiosity
• Problem solving skills- Self-directed and drive to learn - a person, who with time in his/her hands, will independently find interesting ways to push the envelope while learning new skills and growing Self and the team.
• Team player- we work in small, fast moving teams."