Simulation CV/ML Engineer III

PTR Global; Sunnyvale (CA); Hybrid; USD 110,000 - 124,000; Full time

Benefits offered by this job

Medical benefits

401K contributions

PTO

Job summary

PTR Global is seeking a Simulation CV/ML Engineer III in Sunnyvale, CA (Hybrid) for a 12+ month contract to lead camera/sensor simulation and ML data generation efforts. The role emphasizes running simulation pipelines, delivering training data, and supporting ML model evaluation with deep knowledge of camera fundamentals.

The ideal candidate brings 5+ years in software/ML infrastructure, Python and C++, and hands-on experience with ML training workflows.

Qualifications

• Bachelor's degree in Computer Science or a related field.
• 5+ years of software engineering with ML infrastructure focus.
• 5+ years of Python and C++ experience.
• Strong understanding of camera/sensor simulation fundamentals and ML workflows.
• Experience with ML training/evaluation (PyTorch preferred).
• Experience handling large-scale dataset generation and versioning.

Responsibilities

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

Skills

Python

C++

ML Infrastructure

Dataset generation

Education

Bachelor's degree in Computer Science

Tools

PyTorch

Linux

Git

Blender

Unreal Engine

Unity

Job description

Position:Simulation CV/ML Engineer III
Location: Sunnyvale, CA (Hybrid)
Duration:12+ months contract Contract
Pay range: $80-$90/hour on W2
Job ID: 180042

Job Overview

We are seeking a highly skilled Simulation CV/ML Engineer to join our team. The ideal candidate will have a strong background in camera and sensor simulation, machine learning (ML) infrastructure, and data generation. This role involves running and iterating on simulation pipelines, delivering datasets, and supporting ML algorithm training and evaluation. The position requires a deep understanding of camera and sensor fundamentals, ML workflows, and data handling, as well as experience with simulation tools and frameworks.

Responsibilities

• Run and iterate on camera/sensor simulation pipelines to generate synthetic datasets on demand.
• Deliver training and 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 of experience in Python and C++.
• Strong understanding of camera and sensor simulation fundamentals, including:
  • Camera intrinsic/extrinsic setup and calibration.
  • Sensor modeling: noise sources, conversion gain, quantum efficiency, read/shot noise.
  • Basic understanding of ISP and image formation.
• Experience with ML training and evaluation, including:
  • Running ML training/evaluation workflows (PyTorch preferred).
  • Interpreting model metrics and translating them back into dataset changes.
• Proficiency in handling large-scale dataset generation, storage, and versioning.
• Familiarity with Linux development environments and source control.
• Experience building ML models and pipelines.
• Understanding of how camera simulations work.
• Previous AI experience in developing ML architectures.

Preferred Qualifications

• Experience with rendering engines (Blender, Unreal, Unity) or in-house simulation frameworks.
• Background in optical/imaging (radiometry, PSF, MTF).
• Prior experience with camera/ISP tuning or perception model development.

About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit www.ptrglobal.com

At PTR Global, we understand the importance of your privacy and security. We NEVER ASK job applicants to:

• Pay any fee to be considered for, submitted to, or selected for any opportunity.
• Purchase any product, service, or gift cards from us or for us as part of an application, interview, or selection process.
• Provide sensitive financial information such as credit card numbers or banking information. Successfully placed or hired candidates would only be asked for banking details after accepting an offer from us during our official onboarding processes as part of payroll setup.

Pay Range: $80- $90/hour on W2

• Our full-time consultants have access to benefits, including medical, dental, vision, and 401K contributions, as well as PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work.

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During the hiring process, we may use artificial intelligence (AI) tools to assist in evaluating information related to your application. These tools may help analyze job-related qualifications or assist recruiters in reviewing applications and interview responses. AI-generated information is one factor considered in our hiring process. Final employment decisions are made by qualified hiring personnel and are not based solely on AI-generated recommendations.