Senior Simulation Software Engineer

Plus 2
Santa Clara, CA
On-siteCareer-pivot friendly

Who this role is best for

A natural match if you have experience with AI-powered simulation workflows and autonomous vehicle systems.

Best fit for

  • Candidates with a background in AI agentic workflows and simulation fidelity optimization for autonomous systems
    — “Experience quantifying or improving simulation fidelity / closing the sim-to-real gap
  • Those with a strong track record of solving open-ended technical challenges in simulation or AI domains
    — “Ability to solve open-ended technical challenges.

Things to consider

  • The role demands a high level of collaboration across multiple engineering and data science teams
    — “Collaborate with cross-disciplinary teams—including simulation, onboard, systems engineering, and data science

How to stand out

  • Demonstrate your ability to architect simulation pipelines and evaluation frameworks
    — “Architect and build scalable simulation pipelines, including the metric evaluation framework
  • Showcase your proficiency in Python or C++ with large-scale data systems or AI evaluation tools
    — “Proficient in Python or C++, with experience building scalable data processing systems or evaluation frameworks.
  • Emphasize your experience in cross-functional collaboration and issue resolution in complex systems
    — “Collaborate with cross-disciplinary teams—including simulation, onboard, systems engineering, and data science—to reproduce and resolve issues encountered during real-world road tests.
  • Demonstrate your understanding of regulatory standards and how to align technical work with them
    — “Ensure that technical work meets customer requirements, regulatory standards, and company quality policies
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · TeamLevel · Senior

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Built and scaled the simulation infrastructure that powers autonomous vehicle development
Typical background
Mechanical, Electrical, Aerospace Engineering, Physics, Computer Science

Skills & requirements

Required

AI Agentic WorkflowsSimulation PipelinesData AnalysisPython Or C++Communication SkillsProblem-solving

Preferred

Autonomous Vehicle SimulationLLM Agent FrameworksMetrics DevelopmentUser-facing Apis

Stack & domain

Simulation InfrastructureAI Agentic WorkflowsSimulation PipelinesMetric Evaluation FrameworkRoad Test And Simulation Data AnalysisLlm-powered WorkflowsAgentic WorkflowsSimulation FidelityActor BehaviorsSensor ModelsSystem DynamicsPerformance MonitoringScalabilityTestingReliabilityCross-disciplinary CollaborationCustomer RequirementsRegulatory StandardsCompany Quality PoliciesQMSContinuous ImprovementDesignBuildAnalyzeIdentifyQuantifyReduceMonitorImproveCollaborateReproduceResolveEnsureContributeAutonomous Vehicle Development

About the role

Original posting from Plus 2 via Lever

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.

We are looking for a Senior Simulation Software Engineer to build and scale the simulation infrastructure that powers our autonomous vehicle development. You will architect simulation pipelines, leverage AI agentic workflows to analyze simulation results, and drive improvements in simulation fidelity to validate autonomy systems and enable critical program milestones. This role offers the opportunity to drive immediate user value while building advanced, AI-powered frameworks for long-term safety validation.

Responsibilities

Design and build AI agentic workflows that automatically analyze simulation results, identify failures, and surface root causes across large-scale test runs, translating them into actionable insights for engineering teams.

Architect and build scalable simulation pipelines, including the metric evaluation framework, and conduct in-depth analysis of road test and simulation data to identify trends, anomalies, and key performance indicators that enhance model accuracy and validate autonomy performance.

Identify, quantify, and reduce sources of divergence between simulation and real-world behavior, leveraging AI and data-driven techniques to increase simulation fidelity across actor behaviors, sensor models, and system dynamics.

Monitor and improve the performance, scalability, testing, and reliability of the platform.

Collaborate with cross-disciplinary teams—including simulation, onboard, systems engineering, and data science—to reproduce and resolve issues encountered during real-world road tests.

Work with other engineers to design the long-term architecture of the system.

Ensure that technical work meets customer requirements, regulatory standards, and company quality policies, in accordance with the company's Quality Management System (QMS), and contribute to continuous improvement efforts.

Required Skills::

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MS with 3+ years of relevant experience, or a PhD new grad, in mechanical, electrical, aerospace engineering, physics, computer science, or a related field.

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Experience building LLM-powered or agentic workflows for data analysis, evaluation, or automation.

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Experience quantifying or improving simulation fidelity / closing the sim-to-real gap (e.g., sensor modeling, actor behavior modeling, scenario generation).

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Proficient in Python or C++, with experience building scalable data processing systems or evaluation frameworks.

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Ability to solve open-ended technical challenges.

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Excellent communication skills and the ability to collaborate effectively in a team setting.

Preferred Skills::

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Experience with autonomous vehicle or robotics simulation and related concepts.

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Familiarity with LLM agent frameworks (e.g., LangChain, LangGraph, or similar) and prompt/tool-orchestration patterns.

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Experience developing metrics, user-facing APIs, or interfaces between system components.

Your opportunities joining PlusAI

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.

Source: Plus 2 careers (Lever)

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