Physical Robotics | Norway (Oslo–Viken) | Core Team | Make History

We’re not hiring “an AI engineer.” We’re recruiting a championship AI builder.

Humanoid robots will become the next industrial revolution: a new labor layer that can do real work in factories, logistics, and environments humans avoid. Most teams will publish papers or ship demos. A few will build production-grade physical intelligence that survives the real world.

We’re building that team.

Small team. High standards. Big ambition.

If you want a career where you can point to a new chapter in humanoid AI and say “I built the brain that made it real”- this is it.

The mission

Physical Robotics is a Norway-based humanoid robotics company founded by Dr. Phuong Nguyen (ex–cofounder of 1X Technologies) and backed by Skyfall Ventures together with leading Norwegian industrial partners and investors. Our objective is to build a world-class humanoid by unifying high-performance hardware with physical intelligence-the capability to perceive, plan, and act robustly in real-world environments.

We are building for the next inflection point: broad industrial deployment of humanoids in manufacturing and operations. We expect adoption to accelerate in 2027–2028, and our strategy is to arrive at that wave with a platform that is production-grade, scalable, and operationally reliable-not a lab prototype. We benchmark ourselves against the strongest global players-Tesla, Figure, Boston Dynamics, Toyota, Xiaomi, 1X Technologies-and we intend Physical Robotics to become a reference name the field follows.

At Physical Robotics, we are building the AI foundation for physical intelligence: Models that don’t just generate text-they perceive, reason, plan, and act under real-world constraints. This is AI that touches reality: Data quality, latency, safety, distribution shift, evaluation, deployment, and iteration speed.

You will help set the pace, the bar, and the architecture that the company scales on.

What you will own

• Core model strategy: choosing the right architectures, objectives, and training recipes to win in real-world settings
• Distributed training at scale: multi-node training, performance tuning, memory optimization, reliability of long runs
• Post-training + alignment: fine-tuning, preference optimization / RLHF-style workflows, safety & behavior shaping
• End-to-end AI pipeline: data curation, labeling/filters, training infra, evaluation, deployment, monitoring
• Serving & deployment: low-latency inference, model packaging, versioning, rollout strategy, rollback safety
• Real-world integration: AI that operates inside a robotics stack (latency budgets, failure modes, sensor noise)

“Make History” tasks you might lead

• Build a training + evaluation pipeline that turns raw multimodal data into reliable policy behavior.
• Ship a scalable distributed training stack that consistently produces strong models (not one-off runs).
• Create post-training workflows that improve capability while keeping behavior stable and aligned.
• Deliver a model serving system that meets real-world constraints: latency, uptime, monitoring, safety.
• Push the frontier of Physical AI for humanoid manipulation and autonomy.
• Turn “research results” into deployable production artifacts that run on real robots.

Required (must-have)

• Deep expertise in at least three areas:

Preferred (high-leverage)

• Strong publication record (top AI/ML/robotics conferences or journals). Preferred first author of publications in top tier A.I conferences such as Neurips, ICLR, ICML, AAAI, IJCAI, CVPR, ICCV, ACL, BMVC is a plus.
• Kaggle experience (competitions, medals, high rankings).
• Experience with Vision–Language–Action (VLA) models.
• Experience deploying models into real-world or robotics systems.
• Experience with DeepSpeed / Accelerate is a plus.
• PhD in Computer Science, Mathematics or related field.
• Understanding of techniques such as test-time scaling, MoE, MPO is a plus.

The mindset we’re recruiting

You are:

• Obsessed with measurable progress (not vibes): strong evals, ablations, reproducible wins
• Comfortable owning the full loop: data → training → evaluation → deployment → monitoring → iteration
• Pragmatic: you can do research-quality work and still ship production systems
• Calm under pressure and relentless in debugging distributed training and deployment issues
• Motivated by hard problems, not comfort
• Ready to earn a seat on a small team doing world-class work
• This role is for people who want to compete at the top level because humanoids are a global race.

Why Physical Robotics

• Core team impact: your AI decisions define years of platform capability
• Real deployment: your models will run in production pipelines and on real robots
• Competitive salary + incentive option program
• A chance to build technology the world will copy and to make Physical Robotics a name the field follows

Apply

If you’re driven by hard problems and high standards, apply even if you’re not sure you qualify. If you can solve, learn, and ship, we want to talk.

Send your CV to giang@physicalrobotics.com

Subject: AI Expert / Senior AI Engineer -Humanoid Robotics - [Your Name]