Sr. Battery Management Engineer - Algorithm

Company: Supernal
Location: Atherton
Posted on: September 30, 2024

Job Description:

Rise above. Are you ready to take human possibility to a new dimension with us?

Supernal is an Advanced Air Mobility (AAM) company that's developing an electric vertical take-off and landing (eVTOL) vehicle and the ground-to-air ecosystem to support the emerging industry. By creating a sustainable, integrated, and human-centered ecosystem, we are committed to taking a thoughtful and responsible approach to entering the AAM market with a product that meets the high level of safety and reliability in today's air transportation system.

The future of mobility starts with people. We believe in creative thinking and collaboration to help build a better mobility experience for everyone, improving people's ability to move - whether for work or play. Join our dynamic team as we strive to be a part of something greater where potential powers tomorrow!

Supernal provides an inviting open-space workplace designed to foster collaboration, which aligns with one of our core values. This position is required to work on-site 5 days a week.


What we do:

Supernal has embarked on a mission to support the creation of groundbreaking Battery Technology, building an innovative, safe, balanced, and highly efficient energy storage solution for eVTOL aircraft. The Sr. Battery Management Engineer is responsible for creating the high-voltage battery management system. This role will work closely with hardware and software engineers from multi-functional teams.

What you can do:

Develop requirements for different performance prediction algorithms
Develop algorithms to estimate the State of Energy (SOE) and State of Power (SOP) of battery packs
Verify models and algorithms using MIL, SIL, PIL, and HIL techniques at the battery pack level
Verify model parameters for tracking and prediction algorithms against data collected during cell testing in a controlled environment
Develop test strategies, models, and algorithms to eliminate issues early in the design phase
Optimize the algorithm to work within real-time computer resource constraints, such as CPU cycles, memory, and power consumption
Partner with PMO organization to implement build plan
Up to 10% of domestic and international travel
Other duties as assigned

What you can contribute:

Bachelor's degree in engineering or related field required; Master's degree or Ph.D. preferred in Controls Systems (Emphasis in battery modeling and gauging)
A minimum of five (5) years of demonstrated battery algorithm development experience (an equivalent combination of education and experience may be considered)
Experience developing battery prediction algorithms like SOC, SOH, SOP, and SOE
Experience in developing battery cell models (ECM, Particle, or other) for system simulation
Experience in developing model parameter tracking algorithms
Experienced in using advanced control techniques, such as EKF, state observers, machine learning, and multi-parameter optimization techniques, for algorithms
Experience in modeling tools like MATLAB, Simulink, Stateflow, Simscape, including MATLAB optimization toolboxes
Understanding of rechargeable Li-Ion chemistries, their limitations, and control opportunities
Knowledge of strong mathematical fundamentals to develop solutions to complex control problems
Programming skills in languages like C and C++ for real-time applications
Data analysis skills and scripting skills, preferably in Python, to process large volumes of data
Familiarity with cell behavior due to load changes and thermal changes
Excellent verbal and written communication skills
Proactive delivery of communication and follow up
Excellent organizational skills and attention to detail
Must have the ability to independently prioritize and accomplish work within time constraints

You may also be able to contribute:

Experience in aviation with an understanding of DO-178C compliance for SW development preferred #FJ

Base pay offered may vary depending on skills, experience, job-related knowledge and location. This position is also eligible for a bonus as part of total compensation.
The pay range for this position is:
$180,100-$218,300 USD


Click HERE or visit: https://jobs.supernal.aero/benefits to view our benefits!

Any offer of employment is conditioned upon the successful completion of a background check. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, citizenship, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other category or class protected under applicable federal, state or local law. Individuals with disabilities may request a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation at: ta-support@supernal.aero

This position may include access to certain technology and/or software source code subject to U.S. export controls laws and regulations. If an export authorization from an applicable US regulatory agency is required in connection with your employment, your employment is contingent upon Supernal's receipt of such regulatory authorization(s) and your continued compliance with all conditions and limitations pursuant to such authorization(s).

Keywords: Supernal, San Mateo , Sr. Battery Management Engineer - Algorithm, Engineering , Atherton, California