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
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
Pay Transparency: The typical base pay for this role across the U.S. is: $90.00 - $95.00 /hr. Non-exempt positions are eligible for overtime at a rate of 1.5 times the base hourly rate for all hours worked in excess of 40 in a work week, or as required by state or local law. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education and experience. Full-time employees are eligible to select from different benefits packages. Packages may include medical, dental, and vision benefits, health savings accounts with qualified medical plan enrollment, 10 paid days off, 3 days paid bereavement leave, 401(k) plan participation with employer match, life and disability insurance, commuter benefits, dependent care flexible spending account, accident insurance, critical illness insurance, hospital indemnity insurance, accommodations and reimbursement for work travel, and discretionary performance or recognition bonus. Sick leave and mobile phone reimbursement provided based on state or local law.
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