Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
Scaling Physical AI through Interactive Learning in Simulated Reality
Full company description
Scaling Physical AI through Interactive Learning
People associated on LinkedIn
3
Other recorded names
Veeda AI
Profile identifies a recruitment agency
No
Industry
Artificial Intelligence
Size
11-50 employees
Organization type
Privately Held
Year founded
2026
Veeda AI has 9 open jobs in Canada as of November 7, 2026. Top locations: Toronto.
Candidates need senior business development or enterprise sales experience and a record of closing large deals with technical buyers. Experience selling AI, simulation or developer platforms, plus deep robotics industry relationships, is expected.
Veeda AI needs a student or graduate in computer science or engineering, or equivalent hands-on experience. Candidates need strong object-oriented programming skills, web application experience, and a strong habit of using AI as a productivity tool.
Candidates need a PhD in Computer Science, Engineering or a related field, or equivalent experience. They must have trained foundation models end to end, strong PyTorch and distributed training skills, and the ability to run and analyze machine learning experiments independently.
Candidates need a bachelor's degree or equivalent hands-on experience in computer science, computer graphics, robotics, or a related field. Veeda AI expects experience building a physics engine or simulation framework, strong C++ and Python, and GPU programming in CUDA or NVIDIA Warp.
Candidates need a PhD or equivalent hands-on experience in robotics or a related engineering field. They should have experience deploying learning-based robot policies on real hardware, strong Python and PyTorch skills, and a willingness to travel.
Candidates need a bachelor's degree or equivalent hands-on experience in computer science or a related field. They need deep experience with PyTorch and large multi-node parallelism, and fluency in Python and C++/CUDA.
PyTorch, Megatron-Core, FSDP2, Nsight Systems, Nsight Compute, CUDA
Candidates need a Master's or PhD in computer science, engineering or a related field, or equivalent hands-on experience. They need a record of original ML research, strong Python and PyTorch skills, and software engineering habits focused on reproducibility.
Candidates need a Bachelor's degree or equivalent hands-on experience, or be working toward one, in computer science or engineering. They need depth in machine learning or systems fundamentals, fluent Python, and experience building an end-to-end system.
Candidates need a bachelor's degree or equivalent hands-on experience, proficiency in Python or Bash and in Java, Rust or Go, and experience shipping production developer tools and CI/CD. They also need reproducible pipeline experience and expertise in event-driven systems, large-scale inference infrastructure, Slurm multi-node workloads, or regression testing of large models.