Lead MPC Controls Engineer — Real-Time C++

Avride

Austin (TX)

On-site

USD 150,000 - 230,000

Full time

14 days+
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Benefits offered by this job

Equal opportunity employer
Reasonable accommodations available

Job summary

Avride is looking for a Lead Software Engineer to drive the technical evolution of its core Control System. You will spend ~80% on hands‑on engineering and ~20% on technical leadership, architecting MPC systems and vehicle dynamics models while guiding a team of 2–3 engineers.

You will own high‑precision trajectory tracking, optimize real‑time performance, and mentor others in MPC and controls. Strong collaboration with Planning and Hardware is expected.

Qualifications

  • 6+ years of professional software engineering experience, with a track record of owning significant technical systems end‑to‑end.
  • Expertise in modern C++.
  • Deep understanding of algorithms, data structures, and software design patterns.
  • Direct experience with optimization, MPC, and system dynamics.
  • Hands‑on data analysis and statistics applied to real‑world sensor/vehicle data.
  • Ability to guide technical direction while remaining a strong individual contributor.
  • Excellent communication and cross‑team collaboration skills.

Responsibilities

  • Architect, implement, and optimize cutting‑edge control systems in modern C++ (C++17/20).
  • Own the design of high‑precision trajectory‑tracking solutions, from formulation through production deployment.
  • Identify and refine dynamic vehicle parameters using real‑world data.
  • Profile and optimize algorithms to meet real‑time performance constraints.
  • Write clean, production‑quality code and set the technical bar for the codebase.
  • Mentor engineers on MPC, optimization, and controls best practices.

Skills

Modern C++ (C++17/20)
MPC
Control systems
Algorithms & data structures
Data analysis
Communication & collaboration

Job description

Avride is looking for a Lead Software Engineer to drive the technical evolution of its core Control System. You will spend ~80% on hands‑on engineering and ~20% on technical leadership, architecting MPC systems and vehicle dynamics models while guiding a team of 2–3 engineers.

You will own high‑precision trajectory tracking, optimize real‑time performance, and mentor others in MPC and controls. Strong collaboration with Planning and Hardware is expected.

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