---
title: "Senior / Staff Software Engineer, ML-based Controls"
company: "Waabi"
company_url: "https://www.remjobs.works/companies/waabi"
url: "https://www.remjobs.works/job/waabi-senior-staff-software-engineer-ml-based-controls-6c94f628-3ec9-4aa5-91fe-ef5c6f0c365a"
apply_url: "https://jobs.lever.co/waabi/0614b22d-699e-4d08-9149-968e0b010bf4"
workplace: hybrid
location: "Remote US & Canada"
employment_type: full-time
seniority: staff
role: software-engineering
region: canada
skills: ["cpp", "python", "pytorch"]
date_posted: 2026-09-03T16:53:59.042Z
first_seen_by_remjobs: 2026-09-18T22:00:52.143Z
---

# Senior / Staff Software Engineer, ML-based Controls

**Waabi** · Remote US & Canada

Apply: https://jobs.lever.co/waabi/0614b22d-699e-4d08-9149-968e0b010bf4

## About Waabi

Transform your supply chain with Waabi’s AI-first autonomous trucking solution. Scale freight operations, improve safety, and boost efficiency. Learn more.

## About the role

### You Will…

- Design and develop data-driven and machine-learned approaches to vehicle control problems, bringing modern ML to a domain traditionally solved with classical methods.

- Develop learned models of vehicle behavior and dynamics, and integrate them into the closed-loop simulation.

- Apply machine learning to improve how the controller adapts across vehicles and operating conditions.

- Be part of a team of multidisciplinary Engineers and Research Scientists using an AI-first approach to enable safe self-driving at scale.

- Own problems end to end, from conceptualization and offline experimentation through simulation and on-vehicle validation.

- Build the data pipelines, evaluation metrics, and tooling needed to measure whether a learned approach outperforms the classical baseline.

- Participate and share ideas in technical and architecture discussions, helping define how learning and classical control coexist in a safety-critical stack.

### Qualifications:

- MS/PhD or Bachelors degree with a minimum of 4 years of industry experience in Robotics, Controls, Mechanical/Electrical Engineering, Computer Science and/or similar technical field(s) of study.

- Demonstrated depth in control theory and dynamic systems (e.g., MPC, optimal control, state estimation, system identification, kinematic and dynamic vehicle modeling).

- Hands-on experience applying machine learning to a physical system, with real hardware in the loop rather than simulation alone.

- Production-quality coding skill in Python and C++, and experience with deep learning frameworks such as PyTorch.

- Solid problem solving skills using linear algebra, optimization, statistics & probability.

- Ability to rapidly prototype and test new algorithms, and to design the experiments that prove whether they work.

- Open-minded and collaborative team player with the willingness to help others.

- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.

The US yearly salary range for this role is: $241,000 - $320,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.

---

Source: Waabi's own career page, read by RemJobs. Canonical HTML version: https://www.remjobs.works/job/waabi-senior-staff-software-engineer-ml-based-controls-6c94f628-3ec9-4aa5-91fe-ef5c6f0c365a