Software Engineer (Stack, SDS, Tooling)

Join the Stack Tooling team at Applied, where you'll build software infrastructure to support multiple autonomy verticals. As a Software Engineer, you'll work on cross-functional projects that impact various domains, including trucking, cars, and off-road vehicles. Your work will focus on consolidating common dependencies, integrating cutting-edge tools, enabling safety-critical event analysis, increasing simulation testing fidelity, and stabilizing code deployment. Enjoy a range of benefits, including health insurance, a fitness stipend, 401(k) match, a learning stipend, parental leave, and catered meals.

• Concevoir et développer des infrastructures logicielles pour aider les équipes d'ingénierie à tester, analyser les échecs et déployer plus rapidement.
• Travailler sur des problèmes centraux au déploiement de l'autonomie en production, y compris la simulation locale et cloud, les pipelines CI et de déploiement.
• Consolider les dépendances communes dans un écosystème unique, intégrer des outils de rendu neural de pointe et améliorer l'analyse des événements critiques.

• 3+ years of professional software engineering experience shipping production-grade code
• Bachelor’s degree in Computer Science, Robotics, or a related engineering field
• Experience maintaining critical path developer tooling infrastructure
• Strong foundational programming experience in C++
• Experience with cloud infrastructure and/or managing resources in customer environments
• Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles
• Preferred Master’s degree in Robotics or other autonomy-related engineering field
• Exposure to software simulation tooling and either RL-based, physics-based, or reconstruction-based simulation runtimes
• Prior experience with data pipelining architectures, maps validity, or metrics and evaluation frameworks
• Prior experience working on perception modeling, planning, controls, or other onboard robotics functions
• Previous background working with automotive OEMs, autonomous vehicles, or robotic development platforms