Software Engineer III
eTeam Inc
Job Title: Software Engineer III
Location: Sunnyvale, CA
Duration: 12+ Months 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 Minimum Qualifications
• Bachelor's degree in Computer Science or a related field.
• Minimum 5 years of experience in software engineering, with a focus on ML infrastructure
design.
• 5 years experience in Python and C .
• Camera & sensor simulation fundamentals:
Camera intrinsic/extrinsic setup and calibration
Sensor modeling: noise sources, conversion gain, quantum efficiency, read/shot noise
Basic understanding of ISP and image formation
• ML training & evaluation
Experience running ML training/evaluation workflows (PyTorch preferred)
Able to interpret model metrics and translate them back into dataset changes
• Data handling: comfortable with large-scale dataset generation, storage, and versioning
• Familiarity with Linux dev environments and source control
Experience building ML models and pipelines
Understanding how camera simulations work
Previous AI experience to develop ML architectures Preferred Qualifications
• Experience with rendering engines (Blender, Unreal, Unity) or in-house simulation frameworks
• Optical/imaging background (radiometry, PSF, MTF)
• Prior experience with camera/ISP tuning or perception model development
Location: Sunnyvale, CA
Duration: 12+ Months 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 Minimum Qualifications
• Bachelor's degree in Computer Science or a related field.
• Minimum 5 years of experience in software engineering, with a focus on ML infrastructure
design.
• 5 years experience in Python and C .
• Camera & sensor simulation fundamentals:
Camera intrinsic/extrinsic setup and calibration
Sensor modeling: noise sources, conversion gain, quantum efficiency, read/shot noise
Basic understanding of ISP and image formation
• ML training & evaluation
Experience running ML training/evaluation workflows (PyTorch preferred)
Able to interpret model metrics and translate them back into dataset changes
• Data handling: comfortable with large-scale dataset generation, storage, and versioning
• Familiarity with Linux dev environments and source control
Experience building ML models and pipelines
Understanding how camera simulations work
Previous AI experience to develop ML architectures Preferred Qualifications
• Experience with rendering engines (Blender, Unreal, Unity) or in-house simulation frameworks
• Optical/imaging background (radiometry, PSF, MTF)
• Prior experience with camera/ISP tuning or perception model development
Vacancy posted 4 days ago
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