Pricing Refer & earn For employers

Principal Engineer - Firmware

Luxury ecommerce product company very well established

Principal Engineer - Firmware

Principal Engineer - Firmware

at Luxury ecommerce product company very well established

Agency job

8 - 10 yrs

₹20L - ₹22L / yr

Hyderabad

Skills

Microprocessor

Firmware

Multithreading

Embedded Systems

Network programming

Role: Sr. Principle Engineer -Firmware

Experience: 8 to 10 Yrs.

Job description:

Primary skills:

- At least 8 years of working experience on embedded firmware development

- Experience in multithreaded programming, network programming (wired and wireless protocols), real-time programming, cross-platform and cross-language development

- Prior experience with overseeing board bring-up and validation

- Hands-on experience on driver development for various sensors,Flash,PMIC

- Working knowledge of communication protocols like UART, I2C, SPI, USB, Ethernet, etc

- Product development experience with range of microcontroller/microprocessor architectures, adoption of bare-metal, RTOS and Linux operating systems on new platforms

- Minimum 2+ years of experience doing hands-on software development in Bluetooth domain; application, framework, Bluetooth stack or drivers

- Working Experience In display driver development with MIPI/LVDS/QSPI will be a value addition

- Experience with hardware lab equipment such as digital scope, logic analyser and JTAG

- Understanding of embedded development constraints and system performance

- Hands-on Experience on System level integration

- Experience with programming in C/C++/python

- Experience in reading schematics

Secondary skills:

- Version Control System

- Working experience on BLE SoC like Nordic, Ambiq, Dailog

- Bug Tracking

Role: Sr. Principle Engineer -Firmware

Experience: 8 to 10 Yrs.

Job description:

Primary skills:

- At least 8 years of working experience on embedded firmware development

- Experience in multithreaded programming, network programming (wired and wireless protocols), real-time programming, cross-platform and cross-language development

- Prior experience with overseeing board bring-up and validation

- Hands-on experience on driver development for various sensors,Flash,PMIC

- Working knowledge of communication protocols like UART, I2C, SPI, USB, Ethernet, etc

- Product development experience with range of microcontroller/microprocessor architectures, adoption of bare-metal, RTOS and Linux operating systems on new platforms

- Minimum 2+ years of experience doing hands-on software development in Bluetooth domain; application, framework, Bluetooth stack or drivers

- Working Experience In display driver development with MIPI/LVDS/QSPI will be a value addition

- Experience with hardware lab equipment such as digital scope, logic analyser and JTAG

- Understanding of embedded development constraints and system performance

- Hands-on Experience on System level integration

- Experience with programming in C/C++/python

- Experience in reading schematics

Secondary skills:

- Version Control System

- Working experience on BLE SoC like Nordic, Ambiq, Dailog

- Bug Tracking

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Job Description: Senior Software Engineer- Embedded Systems

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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.

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.

Read more

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