Autonomous Vehicle Control Engineer (C++, MPC)

Top Echelon Software, LLC; Austin (TX); Hybrid; USD 120,000 - 170,000; Full time

Benefits offered by this job

Healthcare coverage

Pre-tax commuter benefits

FSA

Disability and life insurance

401(k) retirement plan

Generous PTO

Lunches covered

Job summary

Top Echelon Software, LLC is seeking a C++ Software Engineer - Control in Austin, TX to advance core control systems for autonomous vehicles. You will architect MPC systems using modern C++ to achieve centimeter-level trajectory accuracy in real-world conditions, in an onsite/hybrid role with sponsorship available.

You will collaborate with Planning and Hardware teams to deliver robust, reliable self-driving technology, writing clean, production-grade code and optimizing for real-time

Qualifications

• 3+ years of professional software engineering experience.
• Expertise in modern C++.
• Deep understanding of algorithms, data structures, and software design patterns.
• Hands-on experience with data analysis and basic statistical methods.
• Exceptional communication and collaboration skills, with a focus on delivering results and driving projects to completion.

Responsibilities

• Design, implement, and optimize cutting-edge control systems in modern C++ (C++17/20).
• Develop and refine robust, high-precision solutions for trajectory tracking.
• Analyze and iterate on system performance using real-world vehicle data.
• Collaborate closely with engineers from Planning and Hardware teams to build a cohesive self-driving system.
• Write clean, maintainable, and optimized production-quality code.
• Profile and optimize algorithms to meet real-time performance constraints.

Skills

Modern C++

Algorithms & Data Structures

Software Design Patterns

Data Analysis

Job description

Top Echelon Software, LLC is seeking a C++ Software Engineer - Control in Austin, TX to advance core control systems for autonomous vehicles. You will architect MPC systems using modern C++ to achieve centimeter-level trajectory accuracy in real-world conditions, in an onsite/hybrid role with sponsorship available.

You will collaborate with Planning and Hardware teams to deliver robust, reliable self-driving technology, writing clean, production-grade code and optimizing for real-time