V-Soft Consulting Group, Inc.
Staff Applied Scientists - AI & Robotics - Mountain View, CA - 4 Openings
V-Soft Consulting Group, Inc., Mountain View, California, us, 94039
Staff Applied Scientists - AI & Robotics - Mountain View, CA - 4 Openings
Staff Applied Scientist – AI & Robotics
Primary Location:
Remote
V-Soft Consulting is currently hiring for a Staff Applied Scientist – AI & Robotics for our premier client in Remote. Our AI Research team is pioneering end-to-end robot policies that enable dexterous manipulation in real-world environments. We are advancing embodied AI by integrating multimodal perception, robot learning architectures, and physical execution systems. As a Staff Applied Scientist, you will lead the development of core components of these embodied systems—from model design and training pipelines to integration with perception, motion control, and hardware. You will design, prototype, and deploy robot learning models that span perception, policy learning, simulation, and real-world execution, collaborating closely with robotics engineers, AI infrastructure teams, and production experts.
Knowledge, Skills And Abilities
PhD in a relevant STEM field, or Master’s with equivalent industry experience in robotics, robot learning, or embodied AI.
Proven experience building and deploying machine learning models on robotic systems—including training, evaluation, and real-world execution or simulation.
Deep understanding of modern AI architectures (e.g., Transformers, diffusion models, VLM/VLAs, CNNs) with strong experience training models at scale.
Strong PyTorch implementation skills, including authoring custom modules, batching, debugging, and performance optimization.
Practical experience with ROS/ROS2 and integrating learned policies into manipulation or motion control workflows.
Demonstrated impact via robot learning publications, open-source contributions, or production robotics deployments.
Preferred Qualifications
Experience developing robot learning systems for dexterous manipulation, multi-step task execution, or autonomous behaviors.
Expertise in robotics perception, including 3D understanding, force sensing, tactile feedback, multimodal fusion, or affordance modeling.
Familiarity with Isaac Sim, Mujoco, Gazebo, PyBullet, or custom simulators, and demonstrated ability to transfer policies to hardware.
Experience adapting foundation models (VLM/VLAs, diffusion, instruction-following agents) for embodied control tasks.
Track record of production-ready robotics systems, reproducible research artifacts, or deployments in physical environments.
What You’ll Do Job Responsibilities:
Design and implement advanced robot learning architectures (e.g., diffusion policies, ACT, VLM/VLA-guided agents, imitation learning) for dexterous manipulation, path planning, and autonomous task sequencing.
Develop end-to-end policy training pipelines integrating multimodal sensory data (RGB, depth, proprioception, force/torque, LiDAR, tactile inputs) with control outputs.
Build policy inference and closed-loop control connecting perception, planning, and execution on physical robotic platforms.
Lead data strategy for demonstrations, teleoperation, simulation pipelines, and evaluation frameworks for manipulation policies.
Stay current with embodied AI research and share insights internally through discussion, mentorship, and technical presentations.
Apply and extend large-scale architectures—LLMs, VLM/VLAs, diffusion models—to embodied tasks, grounding, and sim-to-real adaptation.
Collaborate with cross-functional teams to deploy robot policies on hardware, ensuring robustness, repeatability, and safety.
Interested? Qualified candidates should send their resumes to
Asyed@vsoftconsulting.com
Seniority Level Mid-Senior level
Employment Type Contract
Job Function Research, Analyst, and Information Technology
Industries IT Services and IT Consulting
Equal Employment Opportunity Statement V-Soft Consulting provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
#J-18808-Ljbffr
Primary Location:
Remote
V-Soft Consulting is currently hiring for a Staff Applied Scientist – AI & Robotics for our premier client in Remote. Our AI Research team is pioneering end-to-end robot policies that enable dexterous manipulation in real-world environments. We are advancing embodied AI by integrating multimodal perception, robot learning architectures, and physical execution systems. As a Staff Applied Scientist, you will lead the development of core components of these embodied systems—from model design and training pipelines to integration with perception, motion control, and hardware. You will design, prototype, and deploy robot learning models that span perception, policy learning, simulation, and real-world execution, collaborating closely with robotics engineers, AI infrastructure teams, and production experts.
Knowledge, Skills And Abilities
PhD in a relevant STEM field, or Master’s with equivalent industry experience in robotics, robot learning, or embodied AI.
Proven experience building and deploying machine learning models on robotic systems—including training, evaluation, and real-world execution or simulation.
Deep understanding of modern AI architectures (e.g., Transformers, diffusion models, VLM/VLAs, CNNs) with strong experience training models at scale.
Strong PyTorch implementation skills, including authoring custom modules, batching, debugging, and performance optimization.
Practical experience with ROS/ROS2 and integrating learned policies into manipulation or motion control workflows.
Demonstrated impact via robot learning publications, open-source contributions, or production robotics deployments.
Preferred Qualifications
Experience developing robot learning systems for dexterous manipulation, multi-step task execution, or autonomous behaviors.
Expertise in robotics perception, including 3D understanding, force sensing, tactile feedback, multimodal fusion, or affordance modeling.
Familiarity with Isaac Sim, Mujoco, Gazebo, PyBullet, or custom simulators, and demonstrated ability to transfer policies to hardware.
Experience adapting foundation models (VLM/VLAs, diffusion, instruction-following agents) for embodied control tasks.
Track record of production-ready robotics systems, reproducible research artifacts, or deployments in physical environments.
What You’ll Do Job Responsibilities:
Design and implement advanced robot learning architectures (e.g., diffusion policies, ACT, VLM/VLA-guided agents, imitation learning) for dexterous manipulation, path planning, and autonomous task sequencing.
Develop end-to-end policy training pipelines integrating multimodal sensory data (RGB, depth, proprioception, force/torque, LiDAR, tactile inputs) with control outputs.
Build policy inference and closed-loop control connecting perception, planning, and execution on physical robotic platforms.
Lead data strategy for demonstrations, teleoperation, simulation pipelines, and evaluation frameworks for manipulation policies.
Stay current with embodied AI research and share insights internally through discussion, mentorship, and technical presentations.
Apply and extend large-scale architectures—LLMs, VLM/VLAs, diffusion models—to embodied tasks, grounding, and sim-to-real adaptation.
Collaborate with cross-functional teams to deploy robot policies on hardware, ensuring robustness, repeatability, and safety.
Interested? Qualified candidates should send their resumes to
Asyed@vsoftconsulting.com
Seniority Level Mid-Senior level
Employment Type Contract
Job Function Research, Analyst, and Information Technology
Industries IT Services and IT Consulting
Equal Employment Opportunity Statement V-Soft Consulting provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
#J-18808-Ljbffr