Plus에서 자율주행 시뮬레이션 플랫폼을 이끌 Engineering Manager를 채용합니다. 5년 이상의 소프트웨어 개발 경력과 2년 이상의 관리자 경험이 필수입니다. Python, AWS, Kubernetes 기반의 인프라 구축 및 팀 리딩 역량이 중요하며, 자율주행 시뮬레이션 도구 활용 능력을 갖춘 분을 찾습니다.
Santa Clara, CA
Data Engineering – Data Infrastructure /
Full-time /
On-site
PlusAI is a Physical AI company pioneering AI-based virtual driver software for factory-built autonomous trucks. Headquartered in Silicon Valley with operations in the United States and Europe, Plus was named by Fast Company as one of the World’s Most Innovative Companies. Partners including TRATON GROUP’s Scania, MAN, and International brands, Hyundai Motor Company, Iveco Group, Bosch, and DSV are working with Plus to accelerate the deployment of next-generation autonomous trucks. If you’re ready to make a huge impact and drive the future of autonomy, Plus is looking for talented individuals to join its fast-growing teams.
As an Engineering Manager for the Simulation & Verification team at Plus.ai, you will lead the development and scaling of our autonomous driving simulation platform. You will be responsible for orchestrating the infrastructure, tools, and workflows that allow our autonomous trucks to be tested safely and efficiently in virtual environments. This role sits at the intersection of infrastructure engineering, robotics simulation, and data analytics, directly enabling our AV roadmap.
Platform Leadership: Drive the evolution of our simulation platform to support increased scenario throughput, metrics, and scaling.
Team Development: Lead a team of high-performing software engineers and software validation and verification engineers focused on simulation infrastructure, CI/CD pipelines, data verification tools, and scenario creation. You will be responsible for hiring, mentoring, and fostering a culture of technical excellence.
Simulation Strategy: Oversee the development of advanced simulation capabilities, including high-fidelity sensor simulation, closed-loop replay of fleet data, and synthetic scenario generation.
Cross-Functional Collaboration: Partner closely with Planning, Perception, Control, and Safety teams to integrate simulation results into the development lifecycle. Ensure tools and dashboards meet the needs of stakeholders across the organization.
Infrastructure Excellence: Optimize CI/CD workflows to ensure fast, reliable testing. Manage resource allocation to balance high-volume regression testing with on-demand experiment needs.
Process & Quality: Implement rigorous quality control workflows for scenario management. Standardize metrics and benchmark systems to track simulation performance, coverage, and mileage.
Experience: 5+ years in software engineering, with at least 2+ years in an engineering management role.
Technical Domain Expertise: Proven experience in autonomous driving, robotics, or complex system simulation. Proficiency in simulation tools (Carla, Unreal Engine, or custom simulator development).
Core Engineering Skills: Deep experience with modern backend technologies (Python, FastAPI, Postgresql) and frontend frameworks (React, Vite).
Infrastructure Knowledge: Strong understanding of cloud-based development environments (AWS), containerization (Docker, Kubernetes), and CI/CD orchestration (Jenkins).
Data-Driven: Demonstrated ability to build data pipelines that handle high-volume simulation data, including ingestion, storage, and visualization.
Communication: Ability to bridge the gap between complex engineering needs and stakeholder requirements.
Experience with sensor simulation (Lidar/Radar/Camera) and digital twin technologies.
Familiarity with data-driven testing frameworks and large-scale data processing (bag replay, event processing).
Experience in hiring and scaling engineering teams in a fast-paced R&D environment.
$200,000 - $250,000 a year
Work, learn and grow in a highly future-oriented, innovative and dynamic field.
Wide range of opportunities for personal and professional development.
Catered free lunch, unlimited snacks and beverages.
Highly competitive salary and benefits package, including 401(k) plan.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
