Level

Valeo

Humanoid Project Leader

Valeo is hiring a Humanoid Project Leader. Level rates it ; you can apply on Valeo.

Level's read on this job

  • On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
  • The posting mentions PyTorch, TensorFlow and fine tuning among its tools and skills.
  • Level classes it as a mid-level role.
  • Valeo has 1,000+ other open roles on Level.
  • Posted within the past two weeks.

AI in this role

pytorchtensorflow
fine-tuningcomputer-vision

Valeo is a tech global company, designing breakthrough solutions to reinvent the mobility. We are an automotive supplier partner to automakers and new mobility actors worldwide. Our vision? Invent a greener and more secured mobility, thanks to solutions focusing on intuitive driving and reducing CO2 emissions. We are leader on our businesses, and recognized as one of the largest global innovative companies.

Ready to tackle the challenges of the vehicle of the future? Join Valeo and revolutionize the comfort and well-being of all passengers!


About the Role

As a Humanoid Project Leader, you will Identify relevant industrial use cases, capture and prioritize industrial use-cases, operational constraints and performance targets KPI, write the associated technical specification and prepare the material needed for the humanoid training center. You will also identify the best design for the gripper based on the existing ones inside VALEO factories.


Location: Reno, NV preferred; open to candidates located anywhere in the U.S.


Responsibilities Also Include:

Lead the RO humanoid training center

  • Fine tuning of the VLA until the accuracy KPI is reached;
  • Check if the time could be optimized with simulation SIM2REAL (like NVIDIA Isaac Sim or MuJoCo).
  • Train the robots on supply chain and dexterity industrial tasks with the materials delivered by the plants (real conditions);
  • Lead trainees and PhD to support this activity;
  • Identify and build the needed trainings for engineering and industrial VALEO teams corresponding to the technologies involved and tested;
  • Prepare the robots to be sent to the VALEO plants.
  • Based on lessons learned, write recommendations to start designing the future assets compatible with the humanoid constraints, in collaboration with the process engineering network (“Humanoid process design”).

Maintain a technology watch

  • Participate in the main events or exhibition shows organized to touch the technology and build a strong external network.
  • Lead division suppliers and challenge them
  • Run the robots defined by division inside the RO training center
  • Participate by the division suppliers to all the needed trainings to be at the best level in VLA;
  • Scan permanently the panel of suppliers, involving newcomers
  • Visit the supplier’s facilities and invite them in VALEO plants to check their abilities in the work floor; After check-in, suggest any need to add newcomers inside the division panel and evaluate the maturity of the technology
  • Experiment the technology across POC (proof of concept) workshops in the VALEO plants; Evaluate the main KPI defined and update the specifications with the lessons learned.
  • Prepare a safe use of the humanoid in our factories :
  • Support Division to write the safety framework to be applied worldwide;
  • Support Division to build the cyber safety framework to be applied worldwide;
  • Ensure ongoing compliance with evolving industrial regulations and norms
  • Coordinate the activity : at division POWER level : with the Digital Manager of Regional Office (RO) Drive and the Digital Manager of RO Thermal;at Group level : with all the RO plants of BRAIN and LIGHT divisions

What You Should Have:


  • PhD or Master Degree in Robotics, AI, Computer Vision, Machine Learning, mobile autonomous robot, or a related field.
  • Deep understanding of VLA, Embodied AI and GenAI applied to robotics is preferred.
  • Minimum of 3 years experience in AI, humanoid robots is mandatory except if a PhD has been done.
  • Proven experience with Mechatronics, Signal Processing, and Embedded Intelligent Systems.
  • Proficiency in Python, C++ and Deep Learning frameworks (PyTorch/TensorFlow).
  • Experience with ROS/ROS2 is a bonus.

Join us!

Thanks to its strategy focused on innovation, Valeo aims at reducing CO² emissions and developing intuitive driving to propose greener, safer, and smarter mobility. The fantastic (r)evolution towards the vehicle of the future provides amazing career opportunities and challenging jobs!


Diversity by nature

At Valeo, innovation is driven by the diversity, authenticity and energy of its talents. You are looking for new technological and human adventures? Join Valeo and its more than 100.000 employees across the globe! More information about valeo : https://www.valeo.com


Job:

Industrial Digitalization Manager

Organization:

PG/ROP Industrial Digitalization

Schedule:

Full time

Employee Status:

Regular

Job Type:

Permanent contract

Job Posting Date:

2026-09-25

Join Us !
Being part of our team, you will join:
- one of the largest global innovative companies, with more than 20,000 engineers working in Research & Development
- a multi-cultural environment that values diversity and international collaboration
- more than 100,000 colleagues in 31 countries... which make a lot of opportunity for career growth
- a business highly committed to limiting the environmental impact if its activities and ranked by Corporate Knights as the number one company in the automotive sector in terms of sustainable development

More information on Valeo: https://www.valeo.com

How we rate this

Humanoid Project Leader at Valeo rates 33 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Fine-tuningComputer visionPyTorchTensorFlow

Questions you could be asked

  1. Walk me through fine-tuning a model: what data did you use, and how did you check the result?
  2. Walk me through a computer vision problem you solved, from raw data to a deployed model.
  3. What are the limits of PyTorch that you've run into, and how did you work around them?
  4. What's a project where you used TensorFlow hands-on?

Adapt your resume

  • List these exact terms on your resume: Fine-tuning, Computer vision, PyTorch, and TensorFlow. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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