Embedded Engineer

Herndon, Virginia
May 19, 2024
May 24, 2024
Position Type
Full Time
Organization Type
Embedded Engineer

This Jobot Job is hosted by: Denis Mikush
Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $160,000 - $190,000 per year

A bit about us:

Our client is the leading global energy storage optimizer. Their mission is to deliver integrated energy solutions that build a resilient, intelligent, and flexible energy infrastructure - unlocking the way to an optimized renewable future. By integrating renewables, energy management technology, and storage with traditional energy resources, they reinvent clean energy production from the largest and most complex grids to the most remote and essential microgrids. Their vision towards a 100% renewable energy future through flexibility, reliability, and integration for a more sustainable world for us all.

Why join us?

For them, a global working environment isn't just a buzzword. They have experts, suppliers, and customers all around the world. You get to learn something new from your international colleagues every day - whether it is about their profession, their culture, or themselves. Whether you are an engineer or a business professional, you can be sure you will find like-minded people around you and build vast professional networks.

Job Details

Embedded System Programming: Experience programming in C, C++, and Assembly for common TI, ARM and PIC processors
High-level Languages: Working Familiarity with Python, VBA, JavaScript, SQL, and HTML.
Mathematical Computing: Experience with MATLAB and related products like Simulink and State flow for simulation and modeling tasks.
Software Tools: Practical usage of software management tools like Git, Bitbucket, and Jira. Experience with GNU build tools, cross-compilers, and Docker for containerization.
Embedded Interfaces: Experience developing low-level device drivers for hardware peripheral interfaces such as SPI, I2C, USART, JTAG, GPIO, ADC and USB.
RTOS and Frameworks: Programming knowledge of Operating Systems like TI-RTOS, Linux for embedded targets and VxWorks. Familiarity with frameworks like Embedded Coder from Mathworks.
Safety and Reliability Standards: Working knowledge of safety standards like IEC 61508 and reliability methodologies such as Fault Trees, RBD, STPA, and FMEA.
Coding Standards: Experience adhering to coding guidelines and standards like MISRA-C and SEI CERT C.
Systems Engineering: Understanding of systems engineering principles, requirements gathering, analysis, and validation, including familiarity with Model-Based Systems Engineering tools.
Test Automation: Experience with software quality assurance including unit and integration test development, and code inspection and reviews.
Hardware Familiarity: Working knowledge of digital and analog circuits, PCBs, IC datasheet analysis, and usage of hardware testing equipment like oscilloscopes and power supplies.
Communication Protocols: Additional expertise in communication and web protocols within the context of embedded systems such as RS232, RS485, CAN, MODBUS, OPC, Ethernet, TCP/IP, UDP, and HTTP is preferred.
Develop and maintain embedded software solutions for battery management systems (BMS) and interfaces to the Energy Management System (EMS).
This role will lean towards development of middleware and embedded communication interfaces to higher layer applications and client applications, such as EMS, as well as internal BMS components.
Support software architecture design, requirements analysis, interface definition.
Support interface to integrate model-based automatically generated code in embedded platform
Conduct system validation and verification supported with automated tools.
Collaborate with cross-functional teams for system integration and product certification.
Ensure system reliability and functional safety compliance.
Support network infrastructure development in an embedded system platform over embedded Linux or RTOS: Ethernet TCP/IP, Modbus TCP, OPC/UA
Evaluate and implement BMS mathematical algorithms, machine learning and AI solutions in resource-limited embedded systems.

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