Embedded Firmware Engineer

• 3-5 years industry experience in embedded systems, IoT, and connected product efforts
• Experience in system design and building IoT systems in resource and power constrained environments
• Proficient in C language on embedded platforms and familiarity with hardware design of embedded system is a plus
• Development on Linux Platform/RTOS with an emphasis on embedded device driver development, multi-threading, and firmware debugging
• Experience with mesh network or sensor network and communication
• Good understanding of multiple IoT platform components is essential
• Solid working knowledge using IoT hardware platforms, communication boards, and gateways
• Hands-on in internet protocols and software development using protocols including LoRA, Wi-Fi, BLE, ZigBee, NB-IoT, M2M,6LoWPAN, Ethernet etc.
• Expert hands-on proficiency in developing applications using one or more technology stacks
• Strong hands-on understanding of scalability, security, high availability, and operational requirements
• Sound and proven decision-making skills to influence the technology choice and implementation methodologies
• Hands-on in object-oriented programming principles, design patterns, and software architecture
• Good with rapid problem solving, a strong technical background, and passion for continuous improvement
• Must have had hands on experience with Connected smart products having Product and Application software, data and Cloud
• Must have intimate knowledge of tools and processes used for Product(firmware) and/or Application software and/or Device hardware and/or Cloud
• Must be intimately familiar with Agile and Scrum, in the creation of dashboards for Sprints. An expectation would be to implement Scrum within the organization
• Must have strong familiarity with SMAC(social media, mobile, analytics and cloud) trends and application to saleable product categories
• Must have worked closely with Mechanical/Electrical/Electronics engineering teams in the development of smart/connected products.

ECT , QNX Architect  Job Description

Domain Skills
Leads a team of Engineers for designing and architecting next generation platform solutions for clusters/Interior monitoring systems
Architecting the design for new features and technologies for Platform.
Expertise in programming using C, C++ and good understanding of OOAD & UML
Capable of analyzing HW schematics to realize the SW requirements.
Support and resolve issue resolutions and clarification for cross-functional teams.
Support team lead and project manager at program level in resolving open issues

Technical Skills

Expertise in memory management (eMMC, NAND)
Design, Develop and test device drivers in Linux/Android/QNX platform.
Multithreaded programming, usage of IPCs, Interrupts & synchronization methods.
Expertise in using the communication protocols (I2C, SPI & UART) in the device driver.
Expertise in handling Device Tree based configurations.
Strong C & C++ programming skills, OOPS concepts
Linux Architecture knowhow
Strong in software development for real-time embedded systems
Experienced in Design/Architecture Tools like EA
Expertise in SCM Tools like GIT/GERRIT
Ability to create and review changes for Gerrit and participate in a continuous integration loop
Ability to create/understand the build infranstructure using CMake for the middleware components
Experience in Unit test tools like cppunit, gtest.
Know-how and experience of SAFe/Agile Development
Knowledge in Automotive Safety Standards and Processes (ASPICE).
Logical, Analytical and Debugging/Problem-Solving skills
Qualifications
B.E/B.Tech in Computer Science with hands on with Embedded software development on RTOS

 

Job Description:

 

Looking for engineers with one of the below requirements:

• 2-5 years of embedded development experience in a Linux environment with C programming
• With Option1:
• EDK2 experience
• SCT experience
• knowledge of TPMs
• With Option2:
• worked on bootloaders or uboot

We are looking for a stellar Full Stack developer to help us build our next generation IoT/Embedded devices. Responsibilities: • Build our backend APIs and embedded software for IoT/Embedded devices • Work with product owners to spec the requirements. • Design, code, test and deliver various features in our product roadmap. • Integration with Amazon Alexa, Google Home Kit, Apple Home Kit and other third party platforms. Requirements Required Skills: • 2+ yrs experience in building Embedded software • 1+ yrs in building IoT/Embedded devices. • 2+ yrs in Python, Php, Java • 2+ yrs in building APIs • Strong networking knowledge. • Hands on knowledge of IoT • Hands on knowledge of Unix/Linux. • Good oral and written communication skills in English Preferred Skills: • Prior experience with IoT/Embedded • Experience with scrum development, Jira & Git/SVN • Experience with Raspberry Pi/Arduino platform. • Experience with App development on iOS and Android.

Job Description Required Skill Set: Need To Have Expertise in C & C++ Programming for Embedded System C,C++ programming in Visual Studio Development experience in RTOS Debugging experience on memory management, task management etc Familiarity with analysers, oscilloscope etc Nice To Have Embedded Linux UML based design Static Analysis Tools Primary Functions Job Description / Responsibilities Customer communication Requirement analysis Design document creation / updation Firmware development Software unit testing Troubleshoot prototypes Peer review Enhancement / Maintenance Status update Key Deliverables/Duties Design documents Source code Developer test records Process documentation

We are Civil Maps Civil Maps, provider of 3D mapping technology for fully autonomous vehicles, has raised a $6.6 million seed funding round from Ford Motor Company, Motus Ventures, Wicklow Capital, StartX Stanford and Yahoo cofounder Jerry Yang’s AME Cloud Ventures. Civil Maps’ mission is to make it possible for fully autonomous vehicles (SAE Levels 4-5) to drive anywhere smoothly and safely. Through artificial intelligence and vehicle-based local processing, Civil Maps converts sensor data into meaningful map information built specifically to direct fully autonomous vehicles. The company will use the seed investment to accelerate product development and deployment with a number of leading automotive companies and technology partners. Civil Maps’ artificial intelligence software aggregates raw 3D data from LiDAR (high-resolution laser imaging), camera and other sensors onboard autonomous vehicles and organizes the information into machine-readable maps. The information is vastly more actionable information than today’s mapping systems and requires a fraction of the data storage and transmission for existing technologies. Thanks to this light data footprint, Civil Maps’ spatial information is far less costly to transmit over cellular networks, enabling the company to more easily crowdsource, update and share road data in real time—a major improvement over the lengthy processes that require human annotation in current use. As a result, the company can quickly generate and maintain maps that give fully autonomous vehicles the comprehensive and precise knowledge to autonomous operate safely and smoothly on all roads. About the Opportunity As an embedded systems engineer at Civil Maps, you will work on the interface between software and the different machine vision hardware systems in production. You will also interact with customers for requirements, implementation, and support. Join us today in enabling autonomous vehicles to become a part of our lives. Qualifications Bachelor’s degree in Computer Science, related technical field or equivalent practical experience. Solid Software Engineering experience in C/C++. Unix/Linux experience is mandatory and Shell/Bash scripting experience in Linux is a plus. Knowledge of TCP/IP and network programming. Experience in database design and working with MongoDB and cache systems like Redis. Experience writing production grade docker containers and deployment. Experience working on cloud platforms like AWS and Azure. Python, Javascript programming experience is a plus. Solid foundation in data structures, algorithms and software design with strong analytical and debugging skills. Familiarity with version control like GitHub Working proficiency and communication skills in verbal and written English. Self-motivated and directed, with a keen interest in current and emerging technologies Preferred qualifications: Prior experience developing applications or backend experience in gaming industry or 3D simulator experience is a plus. Familiarity with continuous integration and automated deployment systems like TravisCI. Hadoop, MapReduce, and Parallel computing experience. Solid experience with Linux OS internals and Docker containers Experience deploying containerized applications to bare metal servers. Large systems software design and development experience, distributed systems and techniques on accessing/indexing a massive data store. Good understanding of private and public cloud design and architecture. The ability to pick things up quickly with minimal supervision, and be flexibility during product release.