Staff VLA Engineer

42dot
Sunnyvale, San Francisco
Workplace: OnsiteFull timeUSD 189,000 - 311,220Function: Data Science & Machine LearningSkills: ["Collaboration","Communication"]

Work on next-generation Vision-Language-Action (VLA) and autonomous driving intelligence by researching and prototyping new architectures. Build world model and long-horizon driving reasoning approaches, including future-state prediction, forecasting, and counterfactual simulation. Explore agentic driving systems that combine reasoning, planning, memory, and action, collaborating with deep learning and large-scale data pipeline experts to turn AI research into technical progress.

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FursaFursa
42dot
42dot
4 days ago

Staff VLA Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 13 hours agoStatus: Live

Job Summary

Work on next-generation Vision-Language-Action (VLA) and autonomous driving intelligence by researching and prototyping new architectures. Build world model and long-horizon driving reasoning approaches, including future-state prediction, forecasting, and counterfactual simulation. Explore agentic driving systems that combine reasoning, planning, memory, and action, collaborating with deep learning and large-scale data pipeline experts to turn AI research into technical progress.
Location: Sunnyvale, San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Sr. Manager level

Key Responsibilities

  • •Research and prototype next-generation VLA architectures for autonomous driving.
  • •Explore scalable multimodal foundation models to improve generalization, reasoning, and long-horizon decision making.
  • •Build and experiment with world-model-based approaches for predictive driving intelligence, including forecasting and counterfactual simulation.
  • •Develop agentic driving architectures that integrate reasoning, planning, memory, and action for open-world environments.
  • •Unify perception, planning, and action generation in large driving models and advance research into technical progress.

Pay and Benefits

Salary: USD 189,000 - 311,220

Key Requirements

  • •MS or PhD in Computer Science, Robotics, Machine Learning, Electrical Engineering, or a related field (or equivalent practical experience).
  • •Strong hands-on experience with deep learning frameworks such as PyTorch and JAX.
  • •Solid understanding of foundation models, multimodal learning, or transformer-based architectures.
  • •Experience training or fine-tuning large-scale vision, language, or multimodal models.
  • •Strong software engineering skills working with large-scale data pipelines.
Experience:Autonomous drivingRoboticsEmbodied AI
Education:
Skills:CollaborationCommunication
Tech Stack:PyTorchJAXTransformer-based architecturesCARLANuPlanWaymo Open Dataset

Company Brief

42dot
Develops autonomous driving and mobility software platforms, including AI-based perception, mapping, routing, and connected-vehicle technologies. It works on next-generation transportation systems and self-driving vehicle capabilities for automotive applications.
Industry: Autonomous Vehicles
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Headquarters: Seoul, South Korea
Founded: 2019
WebsiteLinkedIn