Staff Engineer, Hivemind Reasoning (R6292)

What you'll do

• Design, train, adapt, and evaluate reasoning models, including foundation-model and traditional AI/ML approaches.
• Build reproducible training workflows, datasets, benchmarks, and evaluations using simulation and real-world data.
• Deliver trained models and performance evidence, collaborating with perception, MLOps, simulation, autonomy, hardware, and inference teams.

What they ask for

• BS/MS in a listed or similar engineering or computer science field, or equivalent practical experience.
• Typically 7 years of related experience with a Bachelor’s degree, 6 years with a Master’s, or 4 years with a PhD; equivalent work experience is also stated.
• Track record developing and deploying advanced ML models in production, with hands-on model design, training, and evaluation.
• Expertise in foundation models, deep learning, training/adaptation methods, model evaluation, and training frameworks such as PyTorch, JAX, or TensorFlow.

Nice to have

• MS or PhD in Computer Science, Electrical Engineering, or a similar field.
• Experience optimizing ML for resource-constrained hardware, simulation-to-real autonomous systems, defense unmanned systems, distributed systems, or high-fidelity simulation.

Tools

PyTorch, JAX, TensorFlow, NVIDIA Jetson, Qualcomm, AMD, VLMs, VLAs

AI focus

Builds reasoning and cognition models for unmanned autonomous systems, including training, adaptation, evaluation, agent coordination, and deployment under edge constraints.