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Full Time Horizon Robotics Jobs (NOW HIRING)

Wayve

Research Scientist, Wayve Labs

Sunnyvale, CA · Hybrid

$230K - $380K/yr

You'll work at the intersection of machine learning, simulation, robotics, and real-world ... Define and evolve Evaluation Frameworks and Benchmarks for long-horizon prediction, scene fidelity ...

Wayve

Research Scientist, Wayve Labs

Sunnyvale, CA · On-site

$230K - $380K/yr

You'll work at the intersection of machine learning, simulation, robotics, and real-world ... Define and evolve Evaluation Frameworks and Benchmarks for long-horizon prediction, scene fidelity ...

Extant Healthcare

Trauma Surgeon

Richmond, VA · On-site

We are financially stable with immense growth opportunities on the horizon. Trauma Program: * 793 ... full time employee benefits including: * Competitive Compensation * 401k Retirement Account

Triad Metals

Machine Operator

Columbia City, IN · On-site

$15.50 - $18.50/hr

Future expansion is on the horizon, the company continues to grow in order to bring the best steel ... Experience in operating a robotic thermal cutting machine. Job Type: Full-time, non-exempt position ...

Triad Metals

Machine Operator

Columbia City, IN · On-site

$15.50 - $18.50/hr

Future expansion is on the horizon, the company continues to grow in order to bring the best steel ... Experience in operating a robotic thermal cutting machine. Job Type: Full-time, non-exempt position ...

Triad Metals

Machine Operator

Columbia City, IN · On-site

$15.50 - $18.50/hr

Future expansion is on the horizon, the company continues to grow in order to bring the best steel ... Experience in operating a robotic thermal cutting machine. Job Type: Full-time, non-exempt position ...

Extant Healthcare

Trauma Surgeon

Richmond, VA · On-site

We are financially stable with immense growth opportunities on the horizon. Trauma Program: * 793 ... full time employee benefits including: * Competitive Compensation * 401k Retirement Account

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Full Time Horizon Robotics information

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How much do full time horizon robotics jobs pay per year?

As of Sep 11, 2026, the average yearly pay for full time horizon robotics in the United States is $96,000.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $102,000.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Horizon Robotics vs Full Time AI Software Engineer?

AspectFull Time Horizon RoboticsFull Time AI Software Engineer
Required CredentialsBachelor's or higher in Computer Science, Electrical Engineering, or related fields; experience with embedded systems and AI hardwareBachelor's or higher in Computer Science, Software Engineering, or related fields; proficiency in AI algorithms and software development
Work EnvironmentEmbedded systems, hardware integration, AI chip developmentSoftware development, AI model implementation, cloud and server environments
Industry UsageAutonomous vehicles, robotics, AI hardware companiesTech companies, AI startups, software firms

Full Time Horizon Robotics roles focus on hardware-software integration for AI chips in autonomous systems, while Full Time AI Software Engineers primarily develop AI algorithms and software applications. Both roles require strong technical skills but differ in their focus on hardware versus software development within the AI industry.

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What are the most commonly searched types of Horizon Robotics jobs?

The most popular types of Horizon Robotics jobs are:

What job categories do people searching Full Time Horizon Robotics jobs look for?

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Full Time Horizon Robotics jobs near you
Infographic showing various Full Time Horizon Robotics job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 90% Full Time, 5% Part Time, 3% Contract, and 1% Nights. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $96,000 per year, or $46.2 per hour.

Senior Staff Research Engineer - Reinforcement Learning for AI Agents

Santa Clara, CA • On-site

XPENG
See more jobs at XPENGexternal

$122K - $168K/yr

Full-time

Re-posted 26 days ago

Job description

XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and robotics. With a strong focus on intelligent mobility, XPENG is dedicated to reshaping the future of transportation through cutting-edge R&D in AI, machine learning, and smart connectivity.
 
We are looking for exceptional Research Engineers / Scientists to design learning systems that allow agents to plan over long horizons, learn effective strategies, and improve through experience.
This role sits at the intersection of reinforcement learning, large language models, and real-world autonomous systems. Autonomous systems must operate reliably in complex, dynamic environments. We believe the next generation of autonomy will involve learning agents that continuously improve through interaction, feedback, and large-scale data. You will help build the learning systems that power these agents.
 
Key Responsibilities:
  • Reinforcement learning methods for LLM-driven agents and decision systems.
  • Policy optimization for long-horizon reasoning and planning.
  • Learning from human or AI feedback (RLHF / RLAIF).
  • Agent training pipelines built on top of our agent infrastructure platform.
  • Evaluation and benchmarking systems for agent capabilities.
  • Learning loops that integrate real-world and simulation data.
  • Contribute to AI systems that continuously improve after deployment.
Basic Qualifications
  • MS or PhD in Computer Science, AI, Machine Learning, Robotics, or a related field.
  • Strong background in reinforcement learning or machine learning.
  • Experience implementing RL algorithms such as PPO, Actor-Critic, or policy gradient methods.
  • Strong programming skills in Python with PyTorch or JAX.
  • Experience building ML training systems or infrastructure.
Preferred Qualifications
  • Experience with RLHF or preference learning.
  • Experience with LLM agents or tool-using AI systems.
  • Multi-agent systems or long-horizon planning.
  • Simulation environments for RL.
  • Publications in NeurIPS, ICML, ICLR, ACL, or related venues.
 
What do we provide:
  • A fun, supportive and engaging environment.
  • Opportunity to make significant impact on transportation revolution by the means of advancing autonomous driving.
  • Opportunity to work on cutting edge technologies with the top talent in the field.
  • Competitive compensation package.
  • Snacks, lunches and fun activities.
 
The base salary range for this full-time position is $244,140 - $413,160, in addition to bonus, equity and benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
 
We are an Equal Opportunity Employer. It is our policy to provide equal employment opportunities to all qualified persons without regard to race, age, color, sex, sexual orientation, religion, national origin, disability, veteran status or marital status or any other prescribed category set forth in federal or state regulations.

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