Senior Manager, Engineering - Hivemind Reasoning (R6291)

What you'll do

• Set the technical roadmap for single- and multi-agent models, including architectures, training methods, data strategy, and evaluations.
• Lead model training and evaluation, including simulation and real-world testing, and deliver models with performance evidence to partner teams.
• Recruit, develop, and manage AI/ML engineers while coordinating with hardware, autonomy, inference, and other teams.

What they ask for

• Typically 10 years of related experience with a Bachelor’s degree, 9 years with a Master’s degree, or 8 years with a PhD; equivalent work experience is also stated.
• 5+ years of people management experience leading engineering or applied research teams.
• Demonstrated success leading development and deployment of state-of-the-art ML models in production environments.
• Deep expertise in foundation models, modern deep learning, model architectures, and training approaches.

Nice to have

• PhD in Computer Science, Electrical Engineering, or a similar degree.
• Experience optimizing and deploying ML models on resource-constrained hardware.

Pay

USD 290,000–430,000 (per-year-salary) — base salary

Tools

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

AI focus

Develops reasoning and cognition models for autonomous vehicles and coordinated agent teams, including training, adaptation, simulation and real-world evaluation, and deployment under edge constraints.