• Run and iterate on camera and sensor simulation pipelines to generate synthetic datasets on demand.

• Deliver training and evaluation data to Camera Architecture and Machine Learning teams within aggressive project timelines.

• Support machine learning algorithm training and evaluation using generated synthetic data by running training jobs, producing evaluation metrics, and refining dataset composition based on model performance.

• Configure simulation scenes and sensor parameters to align with customer and architectural specifications.

• Validate and quality-check generated datasets prior to handoff.

• Maintain and enhance simulation tooling and dataset generation scripts.

• Collaborate cross-functionally with engineering teams to support AI and computer vision initiatives.

• Minimum 5+ years of software engineering experience with a focus on machine learning infrastructure.

• Minimum 5+ years of professional experience using Python and C++.

• Experience building and supporting machine learning models, architectures, and pipelines.

• Experience running machine learning training and evaluation workflows, preferably using PyTorch.

• Ability to interpret model performance metrics and apply findings to improve dataset quality and composition.

• Experience working with large-scale dataset generation, storage, and versioning.

• Strong understanding of Linux development environments and source control practices.

• Understanding of camera simulation fundamentals, including intrinsic and extrinsic calibration.

• Knowledge of sensor modeling concepts such as quantum efficiency, conversion gain, read noise, and shot noise.

• Understanding of image formation processes and Image Signal Processor (ISP) fundamentals.

• Experience supporting AI-driven computer vision or perception systems.

Preferred Qualifications

• Experience with rendering engines such as Blender, Unreal Engine, Unity, or similar simulation frameworks.

• Background in optical imaging concepts including radiometry, PSF (Point Spread Function), and MTF (Modulation Transfer Function).

• Experience with camera tuning, ISP tuning, or perception model development.

• Prior experience working with synthetic data generation environments and advanced simulation platforms.

Skills

• Python

• C++

• Machine Learning Infrastructure

• PyTorch

• Synthetic Data Generation

• Camera Simulation

• Sensor Modeling

• Computer Vision

• AI Model Training & Evaluation

• Dataset Generation & Versioning

• Linux

• Git / Source Control

• Image Signal Processing (ISP)

• Perception Systems

• Rendering & Simulation Technologies

Education

• Bachelor’s degree in Computer Science or a related technical field.

LI-LH1 #INDPRO