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
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Principal Full Stack Software Engineer responsible for guiding technical direction, designing large-scale SaaS features, and building secure, reliable distributed systems. The role involves collaborating across product, design, and engineering; evaluating technical trade-offs; debugging team inefficiencies; contributing to code reviews and complex fixes; mentoring engineers; and improving engineering practices around testing, performance, security, privacy, and service operations.
Top Skills:
AWSDistributed SystemsJavaKotlinMicroservicesSaaS
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Leads enterprise sales for Jira Service Management across Canadian named accounts and territories. Develops territory strategies, drives ITSM and service transformation adoption, manages executive relationships, partners with channel organizations and internal teams, communicates business value and ROI, and supports strategic customer engagements. Requires strong ITSM expertise, enterprise software field sales experience, cross-functional collaboration, and a record of exceeding sales targets.
Top Skills:
Google WorkspaceJira Service ManagementSalesforceSlackZoom
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Manage enterprise customers after implementation, helping them achieve business value from Samsara’s IoT platform. Develop joint success plans, lead executive business reviews and customer workshops, recommend workflow improvements, explain platform capabilities, resolve barriers, and mentor Customer Success and Support teams. Collaborate with Sales, Support, Sales Engineering, Product, and Engineering while supporting customers across transportation, utilities, field services, and other physical-operation industries.
Top Skills:
Internet Of Things (Iot)SaaS
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
