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Staff Robotics Engineer / Tech Lead – Whole-Body Control & Robot Learning

XPENG · Santa Clara, CA

Robotics Center SV Office Posted May 8, 2026

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 now expanding into the development of general-purpose humanoid robots aimed at automating repetitive tasks and assisting people in their daily lives.

We are seeking a highly motivated Staff Robotics Engineer / Tech Lead to join our US robotics team. This role is ideal for a strong hands-on engineer who can contribute deeply to humanoid robot control, whole-body motion generation, robot learning, and sim-to-real deployment, while helping coordinate technical direction and mentor a small team. The ideal candidate brings strong engineering judgment, clear communication, and the ability to help other engineers move faster and make better technical decisions.

Key Responsibilities:

Develop control and learning-based algorithms for humanoid robot locomotion, whole-body control, motion generation, and sim-to-real transfer.
Contribute to the technical direction of the robotics team by identifying key problems, proposing practical solutions, and helping prioritize engineering efforts.
Work with simulation, software, hardware, AI, data, and China-based engineering teams to translate robot performance goals into executable plans.
Mentor other engineers through design reviews, code reviews, experiments, and technical discussions.

Minimum Requirements:

Master’s or Ph.D. degree in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or a related field.
5+ years of relevant experience in reinforcement learning, robotics, robot learning, control systems, or related areas.
Strong background in robot dynamics, control, motion planning, reinforcement learning, imitation learning, or whole-body control.
Familiarity with modern robot learning methods such as PPO, SAC, behavior cloning, diffusion policies, imitation learning, etc.
Excellent communication skills, with the ability to work across disciplines, locations, and organizational boundaries.
Strong ownership mindset and ability to operate effectively in a fast-moving, ambiguous, research-to-product environment.

Preferred Requirements:

Publications or strong project experience in robotics, reinforcement learning, legged locomotion, humanoid control, or embodied AI are a plus.
Experience technically leading projects or mentoring other engineers.
Hands-on experience with legged robot control, testing, or operation.

What do we provide:

A supportive, engaging environment with opportunities to make a significant impact on the future of robotics.
Opportunities to work on cutting-edge technologies with top talent in the field.
Competitive compensation, equity, benefits.
Lunches, snacks, and team activities.

The base salary range for this full-time position is $215,280-$364,320, 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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Senior Staff/ Principal Research Scientist – Dexterous Manipulation

XPENG · Shenzhen, China

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Robotics Center Shenzhen, China Posted Apr 23, 2026

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.

Key Responsibilities:

Design, implement, and deploy advanced manipulation algorithms for humanoid robot dexterous hands, spanning teleoperation, force control, and reinforcement learning.
Develop and maintain high-fidelity simulation environments for robot kinematics, dynamics, sensor emulation, and physical interaction.
Research and innovate on state-of-the-art reinforcement learning algorithms to solve complex robotic manipulation tasks.
Diagnose and tackle core technical challenges that arise during specific robot task execution.

Basic Qualifications:

M.S. or Ph.D. in Robotics, Computer Science, Artificial Intelligence, or a related field.
Strong foundation in robot dynamics, kinematics, and optimal control, with excellent mathematical skills.
Proficiency in Linux, Docker, C++, and Python. Experience with git and a commitment to writing clean, maintainable code.
A collaborative mindset, intellectual curiosity, and humility in a fast-paced team environment.
Demonstrated ability to independently research and master new algorithms and technologies.

Preferred Qualifications:

Hands-on experience with mainstream reinforcement learning or imitation learning frameworks.
Proven ability to build complex simulations using Isaac Gym/Isaac Lab or similar platforms.
Experience with tactile sensing and its integration in dexterous manipulation.
Practical experience in sim2real transfer for robotics.
Experience in controlling multi-joint robotic systems.
Publications in top-tier robotics or AI conferences (e.g., RSS, ICRA, IROS, CoRL, NeurIPS, CVPR) or journals (e.g., IJRR, TRO, T-RO, RA-L).

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.

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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Machine Learning Engineer, Robotics

XPENG · Santa Clara, CA

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Robotics Center SV Office Posted Apr 14, 2026

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.

With this mission, we are looking for passionated machine learning engineers of all levels who will develop robotics technology together with us to shape the new future of humanoid robots. You will work on a lean team without boundaries. Your influence will be on every single product that is shipped, without boundaries as well.

Job Responsibilities:

Develop and maintain machine learning models (e.g. VLM, VLA, RL, etc.) training and deployment pipelines that could scale to massive production.
Work on efficient foundation models (e.g. small LLMs, weight sharing, model quantization, etc.) that can be deployed locally in humanoid robots.
Work on efficient and effective ways to generate/leverage large scale dataset and computational resource.
Explore novel ways to generate synthetic data to improve the data diversity & quality.
Communicate and align with different teams on product needs across the company.

Minimum Qualification:

Strong python programming skills & software development, and strong experience with any major deep learning framework.
Solid background in machine learning, natural language processing, computer vision, speech or data science.
Open-minded, collaborative & humble personality.

Preferred Qualification:

Deep understanding of multimodal LLM modern architectures, "under the hood" LLM training knowledge, quantization techniques, etc.
Record of publications, innovations or leadership.

What do we provide:

A fun, supportive and engaging environment
Opportunities to make a significant impact on the future of transportation and robotics
Opportunity to work on cutting edge technologies with the top talent in the field
Competitive compensation package & benefits
Snacks, lunches, and fun activities

The base salary range for this full-time position is $148,909 - $252,000, 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.

Ready to apply?

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XPENG

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Machine Learning Engineer - LLM, AI & Robotics

XPENG · Santa Clara, CA

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Robotics Center SV Office Posted Apr 14, 2026

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.

Job Responsibilities

Fine-tune the pre-trained LLM on particular use cases in Humanoid Robots and Autonomous Driving Cars, e.g. chat, API calling, etc.
Work on efficient LLMs (e.g. small LLMs, weight sharing, model quantization, etc.) that can be deployed locally in Robots and Cars.
Develop and maintain the LLM (including multi-modal LLM) training and deployment pipelines that could scale to massive production.
Work on efficient and effective ways to leverage large scale dataset and computational resource.
Explore novel ways to generate synthetic data to improve the data diversity & quality.
Communicate and align with different teams on product needs across the company

Minimum Skill Requirements:

Ph.D in Computer Science or related fields.
Solid background in machine learning, natural language processing (NLP), computer vision,

speech or data.
Experience in working with LLMs
Strong python programming skills & software development, and strong experience with any

major deep learning framework.
Open-minded, collaborative and excellent communication skills

Preferred Skill Requirements:

Deep understanding of language model modern architectures, ‘under the hood’ LLM training knowledge, quantization techniques, etc.
Familiarity of large language models (LLMs) relevant technologies, such as SFT, RLHF, prompt engineering, RAG, etc.
Record of publications, innovations or leadership.

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 $148,909 - $252,000, 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.

Ready to apply?

Apply to XPENG

XPENG

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Staff Machine Learning Engineer, Robotics

XPENG · Santa Clara, CA

Apply now

Robotics Center SV Office Posted Apr 14, 2026

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.

With this mission, we are looking for passionated and seasoned machine learning engineers who will develop robotics technology together with us to shape the new future of humanoid robots. You will work on a lean team without boundaries. Your influence will be on every single product that is shipped, without boundaries as well.

Job Responsibilities:

Develop and maintain machine learning models (e.g. VLM, VLA, RL, etc.) training and deployment pipelines that could scale to massive production.
Work on efficient foundation models (e.g. small LLMs, weight sharing, model quantization, etc.) that can be deployed locally in humanoid robots.
Work on efficient and effective ways to generate/leverage large scale dataset and computational resource.
Explore novel ways to generate synthetic data to improve the data diversity & quality.
Communicate and align with different teams on product needs across the company.

Minimum Qualification:

Strong python programming skills & software development, and strong experience with any major deep learning framework.
3-5 years of industry experience.
Solid background in machine learning, natural language processing, computer vision, speech or data science.
Open-minded, collaborative & humble personality.

Preferred Qualification:

Deep understanding of multimodal LLM modern architectures, "under the hood" LLM training knowledge, quantization techniques, etc.
Record of publications, innovations or leadership.

What do we provide:

A fun, supportive and engaging environment
Opportunities to make a significant impact on the future of transportation and robotics
Opportunity to work on cutting edge technologies with the top talent in the field
Competitive compensation package & benefits
Snacks, lunches, and fun activities

The base salary range for this full-time position is $215,280 - $364,320, 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.

Ready to apply?

Apply to XPENG

XPENG

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