Autonomous Vehicle Simulation Consultant

Reveille Technologies,Inc; Mountain View (CA); On-site; USD 250,000 - 350,000; Full time

Job summary

Reveille Technologies,Inc is seeking a senior leader to own and scale Autonomous Vehicle (AV) Simulation Operations, supporting validation, safety assurance, and release readiness for autonomous driving software in Mountain View, CA.

This strategic role requires deep expertise in large-scale AV simulation ecosystems, virtual validation, scenario-based testing, cloud/HPC infrastructure, and cross-functional program leadership with global teams.

Qualifications

• 15+ years overall industry experience.
• 10+ recent years in Autonomous Driving / ADAS programmes.
• 7–8 years of leadership experience managing simulation or validation organisations.
• Direct ownership of autonomous vehicle simulation operations.
• Experience leading large-scale validation campaigns for self-driving systems.
• Understanding of ODD, Perception, Planning, Prediction, Vehicle Control, Sensor Fusion, Safety-Critical Systems.

Responsibilities

• Lead large-scale autonomous vehicle simulation operations and validation programmes.
• Drive virtual validation campaigns across millions to billions of simulated miles.
• Own simulation infrastructure, cloud environments, and HPC operations.
• Oversee scenario generation, replay frameworks, digital twins, and synthetic data programmes.
• Establish release readiness, safety assurance, and validation governance processes.
• Partner with Perception, Planning, Prediction, Localisation, Vehicle Control, AI/ML, Platform, and Safety teams.
• Lead global cross-functional engineering teams and large-scale programme delivery.
• Manage operational efficiency, risk management, cost optimisation, and executive stakeholder communications.

Skills

Autonomous Driving

ADAS

Leadership

Simulation Operations

Virtual Validation

Tools

NVIDIA DRIVE Sim

CARLA

SVL / LGSVL

Job description

We are seeking a senior leader to own and scale Autonomous Vehicle (AV) Simulation Operations supporting validation, safety assurance, and release readiness for autonomous driving software.

This is a highly specialised leadership position requiring deep expertise in large-scale autonomous vehicle simulation ecosystems, virtual validation, scenario-based testing, cloud/HPC infrastructure, and operational leadership.

Important: This is NOT a general automotive, EV manufacturing, vehicle quality, PMO, or engineering leadership role. Candidates must come from autonomous driving simulation and validation backgrounds.

Key Responsibilities

• Lead large-scale autonomous vehicle simulation operations and validation programmes.
• Drive virtual validation campaigns across millions to billions of simulated miles.
• Own simulation infrastructure, cloud environments, and HPC (High Performance Computing) operations.
• Oversee scenario generation, scenario coverage, replay frameworks, digital twins, and synthetic data programmes.
• Establish release readiness, safety assurance, and validation governance processes.
• Partner with Perception, Planning, Prediction, Localisation, Vehicle Control, AI/ML, Platform, and Safety teams.
• Lead global cross-functional engineering teams and large-scale programme delivery.
• Manage operational efficiency, risk management, cost optimisation, and executive stakeholder communications.

Mandatory Experience

Must Have

• 15+ years overall industry experience.
• Minimum 10+ recent years working in Autonomous Driving / ADAS programmes.
• Minimum 7-8 years of leadership experience managing simulation, validation, or autonomous driving organisations.
• Direct ownership of autonomous vehicle simulation operations.
• Experience leading large-scale validation campaigns for self-driving systems.
• Strong understanding of:
• Operational Design Domain (ODD)
• Perception
• Planning
• Prediction
• Vehicle Control
• Sensor Fusion
• Safety-Critical Systems

Required Technical Expertise

Autonomous Driving & Validation

• Autonomous Vehicle Simulation Operations
• Virtual Validation
• Simulation-to-Road Correlation
• Release Readiness
• Validation Governance
• Safety Assurance
• Safety-Critical Systems
• Fleet Validation Metrics
• Sensor Fusion
• LiDAR, Camera and Vehicle Sensor Technologies
• Autonomous Driving Validation

Simulation & Digital Twin

• Digital Twin Platforms
• Synthetic Data Generation
• Replay & Log Analysis Frameworks
• Billions of Virtual Miles Validation
• High Performance Computing (HPC)
• Distributed Compute Environments
• MLOps Platforms

Preferred Simulation Platforms

Experience in one or more of:

• NVIDIA DRIVE Sim
• CARLA
• Applied Intuition
• Cognata
• SVL / LGSVL
• IPG CarMaker
• dSPACE
• Internal Autonomous Driving Simulators

Preferred Target Companies

Strong preference for candidates currently or previously employed by:

• Waymo
• Zoox
• NVIDIA DRIVE
• Motional
• Aurora
• Nuro
• Applied Intuition
• Aptiv ADAS

Candidates from mature autonomous driving organisations will be prioritised.