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Physical Ai Jobs (NOW HIRING)

Synnex

Physical AI Engineer

Clearwater, FL · On-site +1

Physical AI Engineer Build the Future of Robotics with Physical AI We are building real-world Physical AI systems where models interact with physical machines. This role is for a robotics engineer ...

Encord

Account Executive, Physical AI

New York, NY · On-site

$220K - $320K/yr

The role Physical AI is our fastest-growing segment. Over the past 12 months, we've grown Physical AI revenue 10x. The companies building the next generation of robotics, autonomous vehicles, and ...

Encord

Account Executive, Physical AI

New York, NY · On-site

$220K - $320K/yr

The role Physical AI is our fastest-growing segment. Over the past 12 months, we've grown Physical AI revenue 10x. The companies building the next generation of robotics, autonomous vehicles, and ...

Encord

Account Executive, Physical AI

San Francisco, CA · On-site

$220K - $320K/yr

The role Physical AI is our fastest-growing segment. Over the past 12 months, we've grown Physical AI revenue 10x. The companies building the next generation of robotics, autonomous vehicles, and ...

Fujitsu

Physical AI Senior Researcher

Pittsburgh, PA · On-site

Physical AI Senior Researcher Fujitsu Research of America (FRA) is seeking a highly motivated and talented researcher to join our Pittsburgh Research office and contribute to our research and ...

Centific

Head of Physical AI Programs

Palo Alto, CA · On-site

$300 - $360/hr

About Job Head of Physical AI Programs Location Bay Area, California or Redmond, Washington About Centific Centific is a leading AI Data and Engineering company helping the world's largest AI ...

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Physical Ai information

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$44K

$81.5K

$151K

How much do physical ai jobs pay per year?

As of Aug 10, 2026, the average yearly pay for physical ai in the United States is $81,521.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,000.00 and $99,000.00 per year, depending on experience, location, and employer.

What is the difference between Physical Ai vs Robotics Technician?

AspectPhysical AiRobotics Technician
Required CredentialsTypically a degree in AI, computer science, or related fieldUsually a degree or certification in robotics, electronics, or mechatronics
Work EnvironmentResearch labs, AI development companies, tech firmsManufacturing plants, repair shops, industrial settings
Industry UsageDeveloping intelligent systems that mimic physical tasksMaintaining and repairing robotic systems in various industries
Common Search & ComparisonYesYes

Physical Ai focuses on creating intelligent systems that can perform physical tasks using artificial intelligence, often in research or development settings. Robotics Technicians, on the other hand, specialize in maintaining, repairing, and installing robotic systems in industrial environments. While both roles involve working with physical systems, Physical Ai emphasizes AI development, whereas Robotics Technicians focus on hardware and system upkeep.

More about Physical Ai jobs
What cities are hiring for Physical Ai jobs? Cities with the most Physical Ai job openings:
What states have the most Physical Ai jobs? States with the most job openings for Physical Ai jobs include:
What job categories do people searching Physical Ai jobs look for? The top searched job categories for Physical Ai jobs are:
Physical Ai jobs near you
Infographic showing various Physical Ai job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 18% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $81,521 per year, or $39.2 per hour.

Technical Lead Manager, Physical AI

Scale AI

San Francisco, CA • On-site

Full-time

Re-posted 4 days ago

Scale AI rating

8.5

Company rating: 8.5 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

78th of 242 rated software companies

Job description

Job Summary:
Scale AI is the data engine for the entire AI industry, focused on building general AI that can reason and act in the physical world. The Technical Lead Manager will lead a team of Research Engineers to develop and evaluate Large-Scale Foundation Models for Physical AI, bridging the gap between machine learning research and physical robot deployment.
Responsibilities:
• Direct research into scaling laws for Physical AI, determining how to best utilize massive datasets for pre-training and fine-tuning generalist policies.
• Develop novel methods for developing and evaluating models, including new Physical AI industry benchmarks
• Actively write code to implement, train and test SOTA architectures. Conduct research on Physical AI data collection, cross-embodiment training, and policy fine-tuning.
• Collaborate with internal labeling teams to design "robotic-native" data pipelines, including the use of VLMs for automated trajectory annotation and data synthesis.
• Collaborate closely with customers to drive the industry forward in using Scale data
• Lead and grow a team of 4-6 elite Physical AI researchers, fostering a culture of high-velocity experimentation and rigorous evaluation.
• Translate the latest research from NeurIPS, ICRA, and CVPR into production-ready features for Scale’s Physical AI partners.
• Work with cross-functional teams (e.g Product and Operations) to bring our research breakthroughs into production.
Qualifications:
Required:
• Expert-level proficiency in PyTorch, with deep knowledge of Transformer architectures, Attention mechanisms, and Self-Supervised Learning.
• Proven track record of working with Vision-Language Models (e.g., CLIP, PaLM-E) and adapting them for spatial reasoning or embodied tasks.
• Experience with Diffusion Models for sequence generation or Generative World Models for predictive modeling.
• Strong understanding of Physical AI stack, including imitation learning, reinforcement learning (RL), and multi-modal sensor fusion.
• Experience with large-scale distributed training across GPU clusters and high-performance data loading.
• 1+ years of experience leading technical teams or projects in a research-intensive environment.
Preferred:
• First-author publications at top-tier AI/ML conferences (NeurIPS, CVPR, ICRA, CoRL).
• Experience building models that work across different robot types (arms, mobile bases, humanoids).
• Experience with high-fidelity simulators (e.g., Isaac Gym, MuJoCo) and the nuances of physical domain adaptation.
Company:
Scale’s mission is to develop reliable AI systems for the world’s most important decisions. Founded in 2016, the company is headquartered in San Francisco, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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