Build high-performance, scalable simulation infrastructure and tooling for autonomous vehicle development. Design systems for scenario generation, simulation execution, synthetic data, and reinforcement-learning workflows. Collaborate with ML, perception, and controls teams to improve realism, performance, and validation pipelines while writing production-quality C++ and Python code, contributing to architecture, testing, and documentation.
About the Role
We are building the next generation of autonomous trucking technology to make freight transportation safer, more efficient, and more scalable.
Our Simulation team develops the virtual environments, testing infrastructure, and AI-driven simulation systems that enable rapid development and validation of autonomous driving software. We leverage large-scale simulation, synthetic data generation, reinforcement learning environments, and emerging world-model technologies to accelerate autonomy development.
We are seeking a software engineer with strong C++ expertise and a passion for building scalable simulation systems. This role offers the opportunity to work at the intersection of autonomous driving, simulation, robotics, and AI.
What You'll DoBuild Autonomous Driving Simulation Systems- Design and develop high-performance simulation infrastructure for autonomous vehicle development and validation
- Build scalable systems for scenario generation, simulation execution, and evaluation
- Develop simulation tooling used by Perception, Prediction, Planning, and Controls teams
- Improve simulation realism, scalability, and operational efficiency
- Collaborate across teams to support testing, validation, and development workflows
- Build infrastructure supporting reinforcement learning and closed-loop evaluation workflows
- Develop systems for synthetic data generation and automated scenario creation
- Collaborate with ML engineers and researchers to integrate learned models into simulation environments
- Explore emerging approaches in world modeling, agent simulation, and Physical AI
- Write production-quality C++ and Python code
- Participate in architecture and technical design discussions
- Build reliable, maintainable, and well-tested systems
- Contribute to code reviews and engineering best practices
- Create clear technical documentation for systems and tools
- Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, or a related field
- 3+ years of professional software development experience
- Strong expertise in modern C++ (C++17 or newer preferred)
- Experience designing and developing production software systems
- Strong understanding of:
- Multithreading and concurrency
- Memory management
- Performance optimization
- Software architecture and system design
- Experience working with simulation, robotics, gaming, or autonomous systems
- Experience with simulation platforms such as:
- CARLA
- Isaac Sim
- Unreal Engine
- Familiarity with reinforcement learning concepts and workflows
- Experience with agent-based simulation or closed-loop simulation systems
- Experience building synthetic data generation pipelines
- Experience with ROS or ROS2
- Experience with cloud-native infrastructure such as Docker, Kubernetes, AWS, or GCP
- Familiarity with machine learning infrastructure and large-scale data processing systems
- Experience in autonomous driving or robotics applications
- Experience with multi-agent simulation systems
- Familiarity with world models, generative simulation, or Physical AI technologies
- Experience with sensor simulation, including camera, lidar, or radar
- Experience with physics engines and real-time systems
- Experience with CUDA, OpenGL, Vulkan, or graphics programming
- Strong software engineering fundamentals
- Systems-thinking mindset and attention to detail
- Curiosity about simulation, AI, robotics, and autonomous systems
- Ability to work across simulation, infrastructure, and machine learning domains
- Comfortable working in a fast-paced environment with evolving technical challenges
- Passion for building the next generation of intelligent simulation platforms
Similar Jobs
Artificial Intelligence • Cloud • Edtech • HR Tech • Sales • Software • Generative AI
Drive North American mid-market revenue by building pipeline, delivering tailored software demonstrations, qualifying prospects, closing new business, and meeting quarterly sales quotas. The role requires learning and applying sales methodologies, developing expertise in learning and development technology trends, managing complex deals, and contributing platform knowledge internally. Client and team meeting availability includes up to 5% annual travel and at least two trade shows per year.
Top Skills:
B2B SaasLearning Management System (Lms)Software Platform Demos
Artificial Intelligence • Enterprise Web • Software • Design • Generative AI
Lead end-to-end product design for Webflow’s Agentic CMS, shaping content authoring, governance, localization, and publishing across sites, channels, and AI agents. Partner with product managers, engineers, and researchers on content models, API affordances, and product strategy. Design coherent systems for complex enterprise workflows, create prototypes, execute detailed interaction and visual design, and influence senior stakeholders while advancing AI-assisted design practices.
Top Skills:
Ai ToolsApi DesignCode PrototypingContent ArchitectureData Modeling
Artificial Intelligence • Cloud • Consumer Web • Productivity • Software • App development • Data Privacy
Own go-to-market readiness for product launches, pricing and packaging changes, migrations, and other commercial initiatives. Translate product decisions into operational requirements, coordinate cross-functional dependencies, validate end-to-end customer and seller workflows, manage launch risks, and improve readiness processes through reusable frameworks and automation.
Top Skills:
CpqSalesforce
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
