Hybrid Simulation CV/ML Engineer III

Crystal Equation Corporation; Sunnyvale (CA); Hybrid; USD 117,000 - 123,000; Full time

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

401K

Parental leave

Job summary

Crystal Equation Corporation is seeking a Simulation CV/ML Engineer III to join our hybrid team in Sunnyvale, CA. You will run and iterate on camera/sensor simulation pipelines to generate synthetic datasets on demand and deliver training data to ML teams under tight timelines.

You will support ML training and evaluation using the generated data, configure scenes, validate data, and maintain simulation tooling.

Qualifications

• Bachelor's degree in Computer Science or a related field.
• Minimum 5+ years of software engineering experience with ML infrastructure.
• Strong Python and C++ proficiency.
• Experience running ML training/evaluation workflows (PyTorch preferred).

Responsibilities

• Run and iterate on camera/sensor simulation pipelines to generate synthetic datasets on demand.
• Deliver training/evaluation data to camera architects and ML teams under tight timelines.
• Support ML algorithm training and evaluation using the generated synthetic data - run training jobs, produce evaluation metrics, and iterate on dataset composition based on model performance.
• Configure simulation scenes and sensor parameters to match customer/architect specifications.
• Validate and quality-check generated data before hand-off.
• Maintain and improve simulation tooling and dataset generation scripts.

Skills

Python

C++

ML infrastructure

ML training/evaluation

PyTorch

Linux

Data handling

Version control

Education

Bachelor's degree in Computer Science or related field

Tools

Blender

Unreal

Unity

Git

Job description

Crystal Equation Corporation is seeking a Simulation CV/ML Engineer III to join our hybrid team in Sunnyvale, CA. You will run and iterate on camera/sensor simulation pipelines to generate synthetic datasets on demand and deliver training data to ML teams under tight timelines.

You will support ML training and evaluation using the generated data, configure scenes, validate data, and maintain simulation tooling.