Job Title: Battery Algo Software Engineer (Job Ref# 27201495)
Duration: 12 months+ project (possibly extended)
Location: San Diego, CA/ Cupertino, CA (Hybrid)
No. of positions: 1
Pay Rate on W2 Hourly: $82/hr+ MindSource benefits
Battery Algo Software Engineer Contractor:
We believe new ideas have a way of becoming outstanding products, services, and customer experiences very quickly.
Bring passion and dedication to your job and there's no telling what you could accomplish!
Are you interested to work on the forefront of Battery Management Systems?
In this role you will develop future BMS technologies with a hardworking team of engineers in a highly reciprocal and multi-functional environment.
The ideal individual will be proficient in this field, who has experience developing and commercializing robust battery management solutions for consumer, industrial, telecom or automotive products.
Be a part of a team developing new class of battery systems involving
algorithms, architectures and products as we improve the utility of batteries.
Description:
The BMS team is looking for a software engineer to support the battery algorithms software tool development for various products.
You will be required to integrate algorithm features cross-platform and develop software tool to improve the process on the battery algorithm development.
You will also create automated pipeline to integrate engineering requirements and specification with validation results.
Key qualifications:
Experienced in C++/Matlab/Python for software tool development.
Knowledgeable about making REST-API calls and basics of web-based and cloud technologies
Experienced in unit test, integration test and acceptance test's tool and development methodologies.
Familiar with basics of electrical circuits for modeling and simulations
Experienced in git based version control system
Experienced in design verification for high volume manufacturing.
Familiar with lab measurement equipment and test methodology.
Experience with requirement management tools is a plus
General understanding of control theory and lithium-ion battery modeling is a plus
Ability to articulate problems and path to resolution both verbally and with
documentation
Ability to work under minimal supervision and comfortable working in a dynamic environment
Excellent spoken and written communication skills
Experience working with cross-functional teams
Education and Experience:
B.S./M.S., in Computer Science, Electrical Engineering, Mechanical Engineering or equivalent
Job Ref# 23-00712
To apply for this job please visit www2.jobdiva.com.