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Vehicle Performance Software Engineer I

Job Purpose

Develop advanced software for data analysis, machine learning, control systems and predictive simulation, with the objective to optimize racing car design and setup configurations for on-track vehicle performance gains.

Key Accountabilities

Develop and maintain advanced machine learning models for the purposes of modelling the characteristics and behaviors of racing car systems. Research a wide array of model paradigms, to seek the most appropriate technologies to solve specific problems. Design experiments and specify instrumentation to acquire training data both from simulation or real-world testing.  Train models. Validate models for speed, functionality, and robustness, using best-practices in model testing.  Develop software for onboard control systems on racing cars. Devise control schemes to solve specific problems with car control and pursue opportunities for performance improvements. Conduct FMEA style analyses, to ensure safe and robust behaviors in the event of failures. Assist with data analysis and simulation, to develop calibrations of control system parameters. Write and maintain data processing, analysis, and visualization tools. Where data is acquired from onboard race car instrumentation, simulated instrumentation, or test facility instrumentation. Data sources could include real-world track data, simulated vehicle data, tire testing rigs, vehicle test rigs, subsystem rigs, dynos, wind tunnels.

Develop and maintain software for the physical modelling of racing car systems. Work with race car vehicle dynamics experts to produce requirements specifications, and test specifications. Create and maintain model code. Test models for validity. Calibrate model parameters to optimize accuracy. Communicate on project and testing status. Present/report results in formats that are clear and complete.  Create and post technical reports in a timely manner.  Control documents (including electronic documents) per records retention policy. Liaise with HRC engineers and racing team partners.  Maintain communication and collaboration within HRC, other Honda companies, and external partners.

 

Qualifications, Experience, and Skills

Bachelor's Degree in Mechanical Engineering, Machine Learning, or Computer Science. 1-3 years of software development in the engineering domain. Strong understanding of machine Learning technologies. Strong understanding of best practices in regression modelling. Basic understanding of mechanical engineering principles: mathematics and physics. Demonstrated knowledge and skills in best practices in software development, including source control, requirements, design, and testing. 1 year of prior experience in a motorsport or automotive engineering development role. 2-3 years of experience in at least 2 software technologies / languages from: C++, Simulink, MATLAB, Python.

Proven excellent ability to communicate technical information effectively both verbally and in written form to a wide variety of audiences. Previous experience working in a fast paced, time critical and sensitive environment.  Ability to work in a team environment. Detailed oriented individual who can work effectively under pressure in a culturally diverse environment. Ability to work self-directed, under minimal supervision. Good time-management skills. Strong problem-solving skills. Able to identify and resolve routine problems. Strong PC and software knowledge including MS Office products. Demonstrates clear sense of urgency appropriate to a competitive racing environment.

Job Dimensions

Decisions Expected

Working Conditions

Average salary estimate

$100000 / YEARLY (est.)
min
max
$80000K
$120000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Vehicle Performance Software Engineer I, Honda

As a Vehicle Performance Software Engineer I at Honda Research and Development in Santa Clarita, California, you'll have the fascinating opportunity to develop cutting-edge software that enhances racing car performance. This role is perfect for someone passionate about data analysis, machine learning, and control systems in a thrilling, high-speed environment. You will be deeply involved in creating and refining advanced machine learning models that characterize racing car systems, ensuring every tweak in design and setup optimizes on-track performance. Your day-to-day responsibilities will include designing experiments, training models, and validating their robustness. Working closely with experts in vehicle dynamics, you'll also inspire new control schemes and methods to enhance vehicle handling and responsiveness. Engaging with data from real-world and simulated environments, you'll craft tools for data processing and visualization, all aimed at improving racing outcomes. If you enjoy collaborating in a fast-paced team and thrive under pressure, this job is for you! Put your technical knowledge and innovative thinking to the test, helping us push the limits of racing technology. Join us at Honda R&D and turn your software solutions into a winning performance on the track!

Frequently Asked Questions (FAQs) for Vehicle Performance Software Engineer I Role at Honda
What are the key responsibilities of a Vehicle Performance Software Engineer I at Honda Research and Development?

The Vehicle Performance Software Engineer I at Honda Research and Development holds a vital role focused on developing advanced software for data analysis, machine learning, and control systems. Responsibilities include maintaining machine learning models, designing experiments for data acquisition, validating models for performance, and writing software for onboard car systems. You'll be integral in optimizing racing car design and performance through theoretical and practical applications!

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What qualifications are required for a Vehicle Performance Software Engineer I position at Honda?

To qualify for the Vehicle Performance Software Engineer I position at Honda, candidates need a Bachelor's degree in Mechanical Engineering, Machine Learning, or Computer Science, along with 1-3 years of experience in software development within the engineering domain. A strong understanding of machine learning technologies and proficiency in at least two software languages such as C++, Python, or MATLAB is also essential.

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What technical skills are important for a Vehicle Performance Software Engineer I at Honda?

As a Vehicle Performance Software Engineer I at Honda Research and Development, important technical skills include proficiency in software development practices such as source control and testing, a strong understanding of machine learning and regression modeling, and knowledge of mechanical engineering principles. Experience with data processing tools and simulation software is also essential for success in this role.

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How does teamwork factor into the Vehicle Performance Software Engineer I role at Honda?

Teamwork is critical for a Vehicle Performance Software Engineer I at Honda Research and Development. You will collaborate with vehicle dynamics experts, race car teams, and other engineers to produce specifications and offer insights on project status. Effective communication and a collaborative spirit are key to achieving performance goals, as racing design hinges on collective expertise.

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What is the work environment like for a Vehicle Performance Software Engineer I at Honda Research and Development?

The work environment for a Vehicle Performance Software Engineer I at Honda is fast-paced and dynamic, reflecting the high-stakes nature of motorsports. Working under pressure is common, and engineers interact regularly with diverse teams and external partners. This role demands a clear sense of urgency and exceptional time-management skills to deliver timely results in a competitive atmosphere.

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Common Interview Questions for Vehicle Performance Software Engineer I
Can you explain your experience with machine learning in the context of vehicle dynamics?

In responding to this question, focus on specific projects where you've applied machine learning algorithms to solve engineering problems. Describe your methodology, from selecting the right models to validating results, and demonstrate how your contributions led to measurable improvements in vehicle performance.

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How do you approach designing experiments for data acquisition?

Discuss your systematic approach to experimental design, including defining objectives, choosing appropriate tools for instrumenting data collection, and ensuring robust analysis methods. Highlight real-life examples of how this approach helped optimize designs in previous roles.

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What software development practices do you follow to ensure code quality?

Explain your familiarity with best practices such as version control using Git, writing test cases, and performing peer reviews. Share how these practices have contributed to higher quality code and more successful project outcomes.

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Could you describe a time when you faced a challenging problem in vehicle control and how you resolved it?

Detail a specific incident where you encountered a complex issue with vehicle control. Describe your problem-solving process, the tools you employed, and the ultimately successful solution you put in place, showing your analytical and practical skills.

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What methods do you use to validate machine learning models?

Discuss methods such as cross-validation, confusion matrices, and performance metrics like accuracy and F1 score. Illustrate how you've applied these techniques in past projects to ensure robust model performance.

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What is your experience in communicating technical information effectively?

Share examples of how you've conveyed complex technical details to non-technical stakeholders or team members, emphasizing clarity and conciseness. Highlight the importance of tailoring your communication style to your audience.

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How do you ensure safety and robustness in control systems for racing cars?

Describe your approach to conducting FMEA (Failure Modes and Effects Analysis) and implementing redundant systems to ensure safety. Mention any specific protocols or standards you've adhered to in previous projects.

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Why are you interested in working for Honda Research and Development as a Vehicle Performance Software Engineer I?

Express your passion for the automotive and motorsport industries, as well as your admiration for Honda's innovations. Discuss how this aligns with your career aspirations and how you hope to contribute to the company's success.

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How do you prioritize your tasks when working on multiple projects?

Illustrate your time-management techniques, such as using project management tools or methodologies like Agile. Discuss how you prioritize tasks based on deadlines, project importance, and team collaboration.

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Describe a project where you worked under pressure and how you managed it?

Share a specific project example where tight deadlines forced you to perform under pressure. Discuss the strategies you implemented to stay focused and productive while ensuring the project met its objectives.

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"Accord"ing to Honda, you might be in your Element if you do you Civic duty and get Fit. Honda Motor is Japan's #2 automaker (after Toyota) and the world's largest motorcycle producer. The company's car models include the Accord, CR-V, Civic, Elem...

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DATE POSTED
April 16, 2025

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