Senior Research Engineer, Computer Vision (LFV/WFM)

Location: Los Altos, California; hybrid workplace

Salary: $180,000–$258,750 per year for California-based roles

Company

Develops AI, robotics, autonomous driving, and material science technologies to improve the quality of human life and advance mobility.

What you will do

• Collaborate with research scientists to implement, iterate on, and evaluate architectures, objectives, datasets, and training strategies.
• Translate research prototypes into clean, maintainable, reusable code for TRI teams and the Toyota ecosystem.
• Build and maintain pipelines for ingesting, converting, validating, and serving heterogeneous multimodal datasets for robotics and autonomous driving.
• Support and optimize distributed training of world foundation models on multi-GPU and multi-node clusters, including profiling, debugging, and hyperparameter sweeps.
• Develop tools for dataset inspection, experiment tracking, model evaluation, GPU resource management, visualization, and workflow automation.
• Coordinate shared pipelines, data onboarding, joint training, and evaluation with TRI divisions, Toyota affiliates, and external research partners.

Requirements

• Master’s or PhD in Computer Science, Electrical Engineering, Machine Learning, or a related field, plus at least 3 years of relevant experience.
• Strong software engineering skills with deep proficiency in Python, PyTorch, and the Unix/Linux toolchain.
• Experience with large-scale deep learning, distributed training such as DDP, FSDP, or DeepSpeed, GPU profiling, and debugging failures at scale.
• Experience building pipelines for heterogeneous or multimodal data including images, video, depth, point clouds, and actions.
• Experience with video diffusion models, 3D/4D reconstruction, and multi-view geometry.
• Ability to work in a hybrid role based in Los Altos, California. Proactive communication, self-direction, and end-to-end ownership are required.

Nice to have

• Experience with AWS SageMaker, EC2, Docker, or Kubernetes.
• Familiarity with ROS, MCAP, HDF5, simulation environments, and data collection pipelines.
• Experience with AI-assisted development tools such as Copilot, Cursor, or Claude Code.
• Open-source contributions or publications at venues such as CVPR, ICLR, NeurIPS, RSS, or ICRA.

Culture & Benefits

• Work alongside research scientists and collaborate across robotics, automated driving, and human-interactive driving divisions.
• Engage with Toyota affiliates, university partners, and the broader scientific community.
• Medical, dental, and vision insurance.
• 401(k) eligibility, paid vacation, sick time, and parental leave.
• Annual cash bonus structure.

Hiring process

• Include links to relevant open-source contributions or technical project write-ups with the application.