Sr. Software Engineer

4 weeks ago

Los Angeles, United States Parallel Systems Corp Full time

Parallel Systems is a Series A startup company developing the future of intermodal transportation. Our mission is to decarbonize freight while improving supply chain logistics and safety. We are developing vehicles and software to create new autonomous and electric transportation systems for existing rail infrastructure.

At Parallel Systems, we value the team as much as the mission. We want to work with talented people who are humble, motivated, and persistent. Our most successful team members are self-starters and collaborate with others to reach our collective goals.As a Simulation/Modeling Engineer you will be responsible for analyzing and predicting the performance of our autonomous rail vehicles. You will work closely with other engineers (mechanical, software, and electrical) to understand and quantify characteristics of different subsystems, and will use these inputs to inform modeling and design trades for future generations of our vehicles. Passion for electric vehicles and transportation infrastructure, particularly rail, is a big plus, together with enthusiasm for bringing that passion to bear on solving challenging problems in pursuit of a greener and more efficient transportation landscape. As an early employee at a fast-moving startup, you will work on a multitude of technical projects and help shape the direction of the company.Responsibilities

Develop computational models to analyze and predict the performance of Parallel electric rail cars: energy usage, motor efficiency, aerodynamics, lifetime

Develop simulation models to analyze prospective service routes for Parallel cars: utilization, operational costs vs. revenue, effects of different configurations like platoon size, container size/stacking, etc.

Collaborate with engineers to develop field and/or lab test plans, and analyze resulting data to extract vehicle performance characteristics (friction, drag coefficients, efficiencies, etc.)

Deliver reports and give presentations to inform company design trades/decisions

Basic Qualifications

BS/BA in physics, applied math, statistics, engineering, or related field

5+ years of experience with numerical software development in Python (Scipy/Numpy/etc.) or MATLAB

Coursework in and at least 4+ years experience with physics/physical modeling: mechanics, E&M, fluid dynamics, thermodynamics

Preferred Qualifications

MS/PhD in physics, applied math, statistics, or engineering

Proficiency with software version control systems and modern software engineering practices

Experience with transportation analysis and electric vehicles

Experience with aerodynamic modeling and computational fluid dynamics

Experience with classical machine learning: regression, Gaussian processes

Experience with numerical optimization, differential equations, linear algebra, and probability & statistics

$140,000/year to $180,000/year + equity + benefits

Please note the national salary range listed in the job posting reflects the new hire salary range across levels that would be applicable to the position. Final salary will be commensurate with the candidate’s final level. Also, this range represents base salary only and does not include equity or benefits, if applicable.Parallel Systems is an equal opportunity employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to any discriminatory factor protected by applicable federal, state or local laws. We work to build an inclusive environment in which all people can come to do their best work.

Parallel Systems is committed to the full inclusion of all qualified individuals. As part of this commitment, Parallel Systems will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact your recruiter. #J-18808-Ljbffr

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