Simulation Jobs

Discovery is seeking an AI & Agentic Platform Engineer to join their expeditionary force. This role involves taking unproven concepts and building the analysis or prototype to test them, working on challenges across autonomy, sensor analysis, and battle space management. The team focuses on moving AI models from research into production, specifically onto classified platforms and edge hardware where reliability is paramount. Rigorous and repeatable evaluation of model performance is critical as the model portfolio and classified work expand.

$260k - $345k

NVIDIA is seeking a research engineer to join the Isaac team, focusing on physical AI for robotics. This role involves developing simulation tools for scientists and companies leveraging machine learning in robotics. You will bridge the gap between Isaac product engineering and NVIDIA Robotics research, transforming research concepts into product features and providing user feedback to the research loop. The team works at the intersection of simulation and machine learning, aiming to create the leading tool for evaluating robot foundation models in simulation, building on NVIDIA's expertise in photorealistic rendering and physics simulation.

$184k - $357k

Sieve is seeking its first Robotics Researcher to lead the training and evaluation of world-action models (WAMs) and 3D perception systems. This role focuses on understanding how data shapes robot capabilities, connecting data curation and labeling to measurable gains in robot learning. You will manage projects from inception to completion, identifying model shortcomings, determining data needs, setting up experiments, and testing results on unseen tasks and environments. A significant portion of this work involves 3D, transforming raw multimodal and egocentric video into actionable data for robot learning by incorporating geometry, pose, and action. Simulation will be used as a tool for evaluation and augmentation when beneficial, but not as the primary focus.

Abundant is building the NVIDIA of training data, recognizing the critical need for scaling data as AI models advance beyond supervised learning to reinforcement learning and learning from experience. Our founding team brings deep expertise from leading AI organizations, with a proven track record in deploying large-scale deep learning models, training state-of-the-art self-driving models, and managing massive data pipelines. We are at the forefront of innovation, addressing the scarcity of training data by advancing simulation, synthetic data generation, and learning from experience, which are essential for achieving AGI, ASI, and physical intelligence. We partner with top AI labs and enterprises to provide the data necessary for models to move from general knowledge to domain expertise and from chatbots to agents.

$168k - $168k

SambaNova is seeking an Inference Systems Performance Architect to lead the end-to-end performance strategy for their AI inference platform. This role involves defining and driving technical direction in workload capture, benchmarking, modeling, and simulation. You will be instrumental in understanding how requests move through the system, from tokenization to fabric communication, and how deployments meet customer service level objectives. The work focuses on creating reproducible representations of real and agentic traffic, developing what-if capabilities for future configurations, and tackling complex challenges in heterogeneous inference environments.

$245k - $325k

NVIDIA is developing world foundation models and generative AI systems for Physical AI applications, including robotics, autonomous driving, smart spaces, and embodied agents. The NVIDIA Cosmos Platform facilitates multimodal world understanding, simulation, synthetic data generation, and embodied reasoning. We are seeking talented PhD interns to contribute to advancements in Physical AI and world models. This role involves conducting research, developing algorithms, training and evaluating large-scale models, collaborating with cross-functional teams, and publishing research findings.

$0k - $0k

NVIDIA is seeking a Senior Synthetic Data Engineer to join the DRIVE team and contribute to automotive innovation. This role involves collaborating with technical leaders in autonomous driving and simulation to design and develop a simulation environment that advances autonomous vehicle technology. The position focuses on creating synthetic data crucial for training deep learning models used in autonomous driving systems, enhancing the reliability and speed of vehicle development through advanced simulation techniques.

$184k - $357k

NVIDIA is at the forefront of AI, powering the next era of computing with its GPUs. This role focuses on understanding how evolving Large Language Model (LLM) architectures and inference workloads map to hardware, which is critical for designing efficient AI systems. The team utilizes simulation and agentic engineering to analyze emerging architectures and inform hardware and software development decisions.

$152k - $288k

Tenstorrent is seeking a CPU Cluster Performance Architect to influence the performance and scalability of their next-generation CPUs. This role focuses on the intricate interactions between multiple CPU cores within a cluster, including cache hierarchies, coherent interconnects, memory bandwidth, and overall system behavior. It's a hands-on architecture position that leverages performance models and simulation to identify bottlenecks, evaluate design tradeoffs, and guide architectural decisions early in the development cycle. The architect will collaborate closely with CPU architects, RTL designers, software and compiler teams, and system architects to understand workload characteristics and translate performance insights into tangible architectural enhancements. This is a remote position based in North America, and the company welcomes candidates at various experience levels.

$100k - $500k

Innodata is seeking a Research Scientist to lead the science of data for robotics foundation models. This role involves partnering directly with customers and frontier labs to define how data is designed, structured, and evaluated for next-generation AI systems in robotics. You will leverage scientific judgment to make high-leverage decisions about data capture, synthesis, representation, and evaluation, ensuring that the data collected and generated directly supports the development of robust and transferable AI models for manipulation, locomotion, vision-language-action, and world models.

$160k - $185k