Job Title:
Software Engineer III
Location:
Sunnyvale, CA
Job Type:
Full-time, 1-year, On-Going Contract, W2
Schedule:
Monday – Friday, Onsite
Pay Range:
$80.00 – $93.00 per hour
Visa sponsorship is not available now or in the near future.
Job Description:
Key Responsibilities
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Run and iterate on camera and sensor simulation pipelines to generate synthetic datasets on demand.
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Deliver training and evaluation data to Camera Architecture and Machine Learning teams within aggressive project timelines.
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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.
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Configure simulation scenes and sensor parameters to align with customer and architectural specifications.
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Validate and quality-check generated datasets prior to handoff.
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Maintain and enhance simulation tooling and dataset generation scripts.
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Collaborate cross-functionally with engineering teams to support AI and computer vision initiatives.
Requirements
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Minimum 5+ years of software engineering experience with a focus on machine learning infrastructure.
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Minimum 5+ years of professional experience using Python and C++.
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Experience building and supporting machine learning models, architectures, and pipelines.
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Experience running machine learning training and evaluation workflows, preferably using PyTorch.
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Ability to interpret model performance metrics and apply findings to improve dataset quality and composition.
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Experience working with large-scale dataset generation, storage, and versioning.
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Strong understanding of Linux development environments and source control practices.
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Understanding of camera simulation fundamentals, including intrinsic and extrinsic calibration.
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Knowledge of sensor modeling concepts such as quantum efficiency, conversion gain, read noise, and shot noise.
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Understanding of image formation processes and Image Signal Processor (ISP) fundamentals.
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Experience supporting AI-driven computer vision or perception systems.
Preferred Qualifications
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Experience with rendering engines such as Blender, Unreal Engine, Unity, or similar simulation frameworks.
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Background in optical imaging concepts including radiometry, PSF (Point Spread Function), and MTF (Modulation Transfer Function).
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Experience with camera tuning, ISP tuning, or perception model development.
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Prior experience working with synthetic data generation environments and advanced simulation platforms.
Skills
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Python
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C++
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Machine Learning Infrastructure
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PyTorch
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Synthetic Data Generation
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Camera Simulation
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Sensor Modeling
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Computer Vision
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AI Model Training & Evaluation
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Dataset Generation & Versioning
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Linux
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Git / Source Control
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Image Signal Processing (ISP)
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Perception Systems
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Rendering & Simulation Technologies
Education
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Bachelor’s degree in Computer Science or a related technical field.
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