Embedded Engineer

Title: Embedded Engineer
Location: Bangalore

About Us
Valiance is a global AI & Data analytics firm helping clients build cutting-edge technology solutions for
digital transformation. We work with some of the marquee brands across India, US and APAC to build
transformative solutions for Credit Risk, Fraud, Predictive Maintenance, Quality Inspection, Data lake, IOT
analytics etc. Our team comprises 100+ professionals across Machine Learning, Data Engineering & Cloud
expertise

Required Technical and Professional Expertise:
 Must have 4 -10 Years of Experience.
 Graduate/Post Graduate in engineering, statistics, or a highly quantitative field
 Hands on Experience in Embedded C with Linux (Train & Deploy Model)
 Hands on Experience in Embedded System, c , Linux
 Experience with any Advance Embedded system design Programmer Certification advantage.
 Have Knowledge of OS: Linux, Embedded Linux & Linux Tools
 Language – C ( Mandatory ), Shell, Python

Personal Skills:
 Strong communication skills, both written and verbal
 Ability to manage stakeholders' expectations and work in a high-pressure environment.
 Demonstrate strong ownership & commitment to the cause of customer success.
 A team player capable of high performance, flexibility in a dynamic working environment and the
ability to lead

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

Embedded System Engineer

 

Working on Embedded programming on the microcontroller, Linux/Android OS development

Working on component sourcing, PCB Design and fabrication

Working on assembly and testing

Working on field deployment and Testing

Skills:

Embedded Systems

C Programming

Must be exceptionally good in Embedded Systems C programming, testing/ debugging and in advanced C concepts

Capable of working in Embedded Systems based projects based on 8 and 32 bit microcontrollers (STM32)

Experience with communication protocols and peripherals like UART, SPI, RTC, Ethernet

Hands on experience in IDE like Keil, AVR Studio, MPLAB

Strong documentation and writing skills

Work Experience

1-3 years preferable, fresher with good embedded system knowledge can also apply

Responsibilities: • Analysis & Design for the new enhancements in server, design and implement the features with high quality. • Analyze the customer/field issues of the server application and debug the issues spanning multiple modules. • Participate in technical discussions, deployment and planning meetings • Provide technical guidance to the team analysis, debugging and implementation. • Improve the Quality based on the causal analysis and preventive actions. • Requirements: • Candidates must have 3 to 6 years’ experience developing software • Excellent programming skills in C and C++ • Experience in S/W development and debugging • Excellent troubleshooting and problem solving skills • Knowledge of TCP/IP & Networking concepts • Knowledge of VoIP technologies like SIP, RTP will have added advantage • The successful applicant must be able to work with minimal supervision and must be a quick learner

Looking for developer interested to do R&D work on 2D imaging experimenting deep with opencv libraries and optimizing those for mobile devices.

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.