Senior Simulation ML Engineer, Autonomous Driving

Gatik; Santa Clara (CA); On-site; USD 180,000 - 260,000; Full time

Job summary

Gatik is seeking a high-impact, technically deep Senior Simulation Infrastructure Engineer to develop, optimize, and deploy production ML models across our autonomous vehicle stack. You will collaborate with perception, prediction, planning, infrastructure, systems, and hardware teams to ensure models are efficient, scalable, and production-ready for on-vehicle and cloud workflows.

This role is onsite 5 days a week at our Santa Clara, CA office, working on end-to-end model development,

Qualifications

• MS or PhD in Computer Science, ML, Robotics, Electrical Engineering, Statistics or related field.
• Open to all experience levels; leveling determined by depth of technical skills.

Responsibilities

• Develop and improve models supporting perception, prediction, planning, and scene understanding.
• Optimize models using quantization, pruning, sparsification, compression, and efficient architectures.
• Profile and optimize neural networks using CUDA, TensorRT, and related technologies.
• Analyze model performance using simulation and real-world driving data.
• Build high-throughput pipelines for training, evaluation, data processing, and large-scale offline inference.
• Develop reliable pipelines for dataset curation, annotation, preprocessing, visualization, diagnostics, benchmarking, and feedback from field data.
• Partner with autonomy, systems, hardware, and infrastructure teams to integrate ML components into the broader vehicle platform.

Skills

Python

PyTorch

TensorFlow

CUDA

TensorRT

Model deployment

Quantization

Pruning

Compression

Latency optimization

Embedded systems

Software architecture

Education

MS or PhD in Computer Science, ML, Robotics, Electrical Engineering, Statistics

Tools

PyTorch

TensorFlow

CUDA

TensorRT

Job description

Gatik is seeking a high-impact, technically deep Senior Simulation Infrastructure Engineer to develop, optimize, and deploy production ML models across our autonomous vehicle stack. You will collaborate with perception, prediction, planning, infrastructure, systems, and hardware teams to ensure models are efficient, scalable, and production-ready for on-vehicle and cloud workflows.

This role is onsite 5 days a week at our Santa Clara, CA office, working on end-to-end model development,