Role Overview
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.
Key Responsibilities
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.
Qualifications
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.
Preferred Skills
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.
Skills Required
- 5+ years in software engineering with at least 2+ years in an engineering management role
- Proven experience in autonomous driving, robotics, or complex system simulation
- Proficiency with simulation tools such as Carla, Unreal Engine, or custom simulator development
- Deep experience with backend technologies: Python, FastAPI, Postgresql
- Experience with frontend frameworks: React, Vite
- Strong knowledge of cloud environments (AWS) and containerization (Docker, Kubernetes)
- Experience with CI/CD orchestration (Jenkins) and pipeline optimization
- Ability to build data pipelines for high-volume simulation data ingestion, storage, and visualization
- Strong communication skills to bridge engineering and stakeholder needs
- 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 hiring and scaling engineering teams in fast-paced R&D environments
Plus Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Plus and has not been reviewed or approved by Plus.
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Leave & Time Off Breadth — Unlimited PTO in addition to company holidays and flexible work arrangements are offered, indicating broad time-off flexibility. This setup signals strong support for taking time away from work.
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Healthcare Strength — Tiered medical, dental, and vision options allow employees to select coverage that fits their needs. This breadth of core health coverage aligns with a comprehensive benefits approach.
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Wellbeing & Lifestyle Benefits — Daily catered lunches at key offices and company-sponsored professional development add meaningful day-to-day and growth-oriented perks. These offerings enhance overall wellbeing and workplace experience.
Plus Insights
What We Do
Plus is a global provider of highly automated driving and fully autonomous driving solutions. Named by Forbes as one of America's Best Startup Employers and Fast Company as one of the World’s Most Innovative Companies, Plus's customers are already operating its product on the road today. Working with one of the largest companies in the U.S., vehicle manufacturers and others, Plus is making transportation safer and greener. Plus has received a number of industry awards and distinctions for its transformative technology and business momentum from Fast Company, Insider, Consumer Electronics Show, AUVSI, and others. For more information, visit www.plus.ai
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