Senior Application Engineer - Reinforcement Learning & MPC

Key Skills

Aartificial intelligence, C Programming, C++, Effective communication skills, MATLAB Programming, Presentation skills, Python Programming, Reinforcement Learning, Simulink

Job Description

Senior Application Engineer - Reinforcement Learning & MPC

As a Reinforcement Learning (RL) and Model Predictive Control (MPC) Application Engineer, you will leverage your experience in these areas to help engineers achieve their design, simulation, and deployment goals using MathWorks tools. This is an exciting opportunity to help MathWorks customers solve tough decision-making problems in applications such as robotics, industrial automation, autonomous driving, and cyber-security.

As an Application Engineer (AE), you will act as a link between MathWorks and various customers across a range of industries. You will demonstrate how to use MATLAB and other related tools to design, develop, and deploy algorithms and systems. You will work closely with customers to uncover obstacles in their engineering process and then collaborate with a MathWorks team in sales, marketing, and development to build convincing technical examples that demonstrate the value of using MATLAB in the customer's development cycle.

In this pre-sales role, you will use your technical and business experience to work with our customers on initial sets of requirements, evaluate and create proofs-of-concept, and propose software solutions for a given customer project. While this is a pre-sales role, this position involves significant technical work for proofs of concept and project support.

Application Engineers have the opportunity to develop technical expertise in many MathWorks products, expand their industry knowledge, work on cross-functional teams, and advance into leadership roles throughout MathWorks. It is well established that AEs play a vital role in the success of MathWorks.

Responsibilities

• Leverage engineering experience to provide technical pre-sales support and guidance to our sales organization and customers in the areas of RL & MPC.
• Engage with prospective customers to understand their workflow and recommend effective solutions that can improve the results of customer product development processes.
• Manage product evaluations - Prospective customers may require guidance while evaluating our products to prove their value within the constructs of a feasibility project.
• Prepare and deliver technical evaluations, demonstrations, and presentations at both small customer meetings and to larger audiences at public and private events.
• Work closely with the worldwide MathWorks application engineering, development, and marketing organizations to further improve products, identify new application areas based on customer interactions, and develop accurate and compelling messaging and demonstrations.
• This role will require approx. 20 – 30% travel.

Minimum Qualifications

• A bachelor's degree and 6 years of professional work experience (or a master's degree and 3 years of professional work experience, or a PhD degree, or equivalent experience) is required.
• Experience with MATLAB

Additional Qualifications

• Exceptional oral and written communication
• Excellence in presenting & presentation building
• Strong knowledge of Deep Reinforcement Learning and Model Predictive Control
• Knowledge of control systems
• Experience with Simulink
• Willingness to learn new tools and skills as required

Pluses:

• Strong knowledge of AI Systems
• Experience in C/C++
• Experience with OpenAI Gym
• Experience with Python-based reinforcement libraries.