100% Remote - Staff Applied Scientists - AI & Robotics jobs in United States
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V-Soft Consulting Group, Inc. · 4 hours ago

100% Remote - Staff Applied Scientists - AI & Robotics

V-Soft Consulting Group, Inc. is a recognized leader in technology services, specializing in innovative solutions. They are seeking a Staff Applied Scientist to lead the development of core components for embodied AI systems, focusing on robot learning models and collaborating with engineering teams to deploy these technologies in real-world applications.

Artificial Intelligence (AI)ConsultingInformation TechnologySoftware
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Growth Opportunities
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H1B Sponsor Likelynote

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

Qualification

Machine learning modelsRobotics systemsPyTorchROS/ROS2AI architecturesRobot learning systemsRobotics perceptionSimulation toolsCollaborationMentorshipTechnical presentations

Required

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

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

Benefits

Medical
Dental
Vision
401(k) plan
Competitive compensation

Company

V-Soft Consulting Group, Inc.

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V-Soft Consulting, an innovative corporation specializing in Information Technology consulting; including staffing, digital, and infrastructure solutions.

H1B Sponsorship

V-Soft Consulting Group, Inc. has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (363)
2024 (248)
2023 (272)
2022 (401)
2021 (409)
2020 (460)

Funding

Current Stage
Late Stage

Leadership Team

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Michael Grendi
Chief Financial Officer
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Lonnie Gray
Chief Operating Officer
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Company data provided by crunchbase