Senior Engineering Manager (Hivemind Reasoning)

Join our team as a Senior Engineering Manager, where you will lead the development of reasoning models for unmanned autonomous systems in defense. You will build and manage a high-performing team, define the technical roadmap, drive training efforts, and establish rigorous evaluations. This role requires deep technical expertise, strong leadership skills, and a conviction that AI will protect service members and civilians.

Define the technical roadmap for single-agent and multi-agent models, making informed tradeoffs among different approaches.

We are looking for a leader with not only the deep technical expertise or the abilities to build a world-class team, but also someone with the strong conviction that AI will protect service members and civilians

Exceptional track record of leading the development and deployment of state-of-the-art ML models in production environments, making difficult prioritisation decisions, and communicating tradeoffs across disciplines

Responsibilities

• Lead the development and deployment of reasoning models for unmanned autonomous systems across various domains.
• Build and manage a high-performing team of AI/ML engineers, overseeing research, design, training, and evaluation of models.
• Strong command of training and adaptation approaches such as self-supervised learning, supervised fine-tuning, imitation learning, reinforcement learning, and distillation
• Deep expertise in foundation models, modern deep learning, model architectures, and the training ecosystem
• Experience defining datasets, training objectives, experimental workflows, benchmarks, and reproducible criteria for comparing models

Requirements

• Familiarity with NVIDIA Jetson and other edge compute platforms (e.g. Qualcomm, AMD, etc.)
• Fluency in traditional AI/ML techniques and an ability to combine them thoughtfully with learned models
• BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience. Typically requires a minimum of 10 years of related experience with a Bachelor’s degree; or 9 years and a Master’s degree; or 8 years with a PhD; or equivalent work experience
• 5+ years of people management experience leading engineering or applied research teams, with demonstrated success hiring, coaching, developing technical leaders, and managing performance
• Strong familiarity with traditional robotics algorithms, e.g. path planning, probabilistic modeling, optimization approaches, etc
• PhD in Computer Science, Electrical Engineering, or similar degree
• Experience managing managers or leading multiple engineering teams

Familiarity with large, distributed systems

• Familiarity with high-fidelity simulation, e.g. rigid body dynamics, sensor & actuator models, etc
• Experience managing and interfacing with external partners and vendors
• USD 290,000 - 430,000

Preferred

• Experience with multimodal, embodied, robotic, or autonomous-system models; familiarity with VLA models and world models is particularly relevant
• Experience with training frameworks such as PyTorch, JAX, TensorFlow, etc
• Experience with unmanned autonomous systems in defense applications
• Experience with simulation-to-real on autonomous systems
• Expertise in optimising and deploying ML models to resource-constrained hardware platforms