Asks for

The ad says“Technical Domain Expertise: Proven experience in autonomous driving, robotics, or complex system simulation. Proficiency in simulation tools (Carla, Unreal Engine, or custom simulator development)”
The ad says“Infrastructure Knowledge: Strong understanding of cloud-based development environments (AWS), containerization (Docker, Kubernetes), and CI/CD orchestration (Jenkins)”
The ad says“Experience with sensor simulation (Lidar/Radar/Camera) and digital twin technologies”
The ad says“Technical Domain Expertise: Proven experience in autonomous driving, robotics, or complex system simulation. Proficiency in simulation tools (Carla, Unreal Engine, or custom simulator development)”
The ad says“Technical Domain Expertise: Proven experience in autonomous driving, robotics, or complex system simulation. Proficiency in simulation tools (Carla, Unreal Engine, or custom simulator development)”
The ad says“Data-Driven: Demonstrated ability to build data pipelines that handle high-volume simulation data, including ingestion, storage, and visualization”
The ad says“Familiarity with data-driven testing frameworks and large-scale data processing (bag replay, event processing)”
The ad says“Experience with sensor simulation (Lidar/Radar/Camera) and digital twin technologies”
The ad says“Infrastructure Knowledge: Strong understanding of cloud-based development environments (AWS), containerization (Docker, Kubernetes), and CI/CD orchestration (Jenkins)”
The ad says“Experience: 5+ years in software engineering, with at least 2+ years in an engineering management role”
The ad says“Core Engineering Skills: Deep experience with modern backend technologies (Python, FastAPI, Postgresql) and frontend frameworks (React, Vite)”
The ad says“Infrastructure Knowledge: Strong understanding of cloud-based development environments (AWS), containerization (Docker, Kubernetes), and CI/CD orchestration (Jenkins)”
The ad says“Infrastructure Knowledge: Strong understanding of cloud-based development environments (AWS), containerization (Docker, Kubernetes), and CI/CD orchestration (Jenkins)”
The ad says“Familiarity with data-driven testing frameworks and large-scale data processing (bag replay, event processing)”
The ad says“Experience with sensor simulation (Lidar/Radar/Camera) and digital twin technologies”
The ad says“Core Engineering Skills: Deep experience with modern backend technologies (Python, FastAPI, Postgresql) and frontend frameworks (React, Vite)”
The ad says“Core Engineering Skills: Deep experience with modern backend technologies (Python, FastAPI, Postgresql) and frontend frameworks (React, Vite)”
The ad says“Experience with sensor simulation (Lidar/Radar/Camera) and digital twin technologies”
The ad says“Core Engineering Skills: Deep experience with modern backend technologies (Python, FastAPI, Postgresql) and frontend frameworks (React, Vite)”
The ad says“Technical Domain Expertise: Proven experience in autonomous driving, robotics, or complex system simulation. Proficiency in simulation tools (Carla, Unreal Engine, or custom simulator development)”
The ad says“Experience with sensor simulation (Lidar/Radar/Camera) and digital twin technologies”
The ad says“Experience: 5+ years in software engineering, with at least 2+ years in an engineering management role”
The ad says“Technical Domain Expertise: Proven experience in autonomous driving, robotics, or complex system simulation. Proficiency in simulation tools (Carla, Unreal Engine, or custom simulator development)”
The ad says“Core Engineering Skills: Deep experience with modern backend technologies (Python, FastAPI, Postgresql) and frontend frameworks (React, Vite)”

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

Benefits

Unlimited PTO: Unlimited paid time off on top of company holidays to recharge and enjoy as needed
Flexible working: Flexibile work arrangements and technology to help manage life’s demands at the office and remote
Health benefits: Tiered options in medical, dental, and vision insurance to fit your unique needs
Future building: Equity, 401k and FSA options for all eligible employees to help build for your future
Professional development: Company-sponsored professional development opportunities such as conferences, training, and workshops
Catered lunches: Daily catered lunches at both of our Santa Clara and Fremont offices

Preferred experience

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)
Communication: Ability to bridge the gap between complex engineering needs and stakeholder requirements
Data-Driven: Demonstrated ability to build data pipelines that handle high-volume simulation data, including ingestion, storage, and visualization
Infrastructure Knowledge: Strong understanding of cloud-based development environments (AWS), containerization (Docker, Kubernetes), and CI/CD orchestration (Jenkins)
Core Engineering Skills: Deep experience with modern backend technologies (Python, FastAPI, Postgresql) and frontend frameworks (React, Vite)
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