Software Engineer (CV/ML)

Tailored Management; Sunnyvale (CA); Hybrid; USD 83,000 - 138,000; Full time

Job summary

Tailored Management in Sunnyvale, CA is seeking a Simulation CV/ML Engineer to build and operate camera and sensor simulation pipelines for next‑generation computer vision and ML development.

The role combines Python and C++ software engineering with deep knowledge of camera systems, sensor modeling, image formation, and ML training pipelines. You will generate synthetic datasets, configure scenes, support training, and help translate model results into dataset improvements.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field.
• 5+ years of software engineering experience, with ML infrastructure and data pipelines experience.
• 5+ years of hands-on Python and C++ development.
• Strong understanding of camera and sensor simulation fundamentals.
• Experience running ML training and evaluation workflows, preferably with PyTorch.
• Ability to interpret model evaluation metrics and translate results to dataset or simulation changes.
• Experience with large-scale synthetic dataset generation, storage, and versioning.
• Familiarity with Linux development environments and source control systems.
• Experience building ML models, ML pipelines, or ML infrastructure.
• Practical understanding of how camera and sensor simulation systems generate data for CV applications.
• AI/ML experience including contributing to ML architectures and pipelines.

Responsibilities

• Run, maintain, and iterate on camera and sensor simulation pipelines to generate synthetic datasets on demand.
• Configure simulation scenes, camera parameters, and sensor models per specifications.
• Deliver training and evaluation datasets to camera architecture, ML, and perception teams within tight timelines.
• Support ML model training and evaluation workflows, including running training jobs and generating metrics.
• Translate ML evaluation results into actionable dataset or parameter changes.
• Validate and quality-check synthetic datasets before hand-off.
• Develop, maintain, and improve simulation tooling, automation, and dataset generation scripts.
• Work with large-scale datasets: storage, organization, versioning, and reproducibility.
• Troubleshoot simulation, data generation, and ML pipeline issues on Linux.
• Collaborate with camera architects, ML engineers, and perception teams.

Skills

Python

C++

ML infrastructure

Camera systems

Linux

PyTorch

Data pipelines

Dataset generation

Education

B.S. in CS/CE/EE

Tools

Git

Job description

Location: Sunnyvale, CA — Hybrid, 3 days onsite per week

Compensation: $95 - $100/hr on W2

Contract Duration: 12 Months with potential extension

About the Role

We are looking for a Simulation CV/ML Engineer to help build and operate camera and sensor simulation pipelines that enable next-generation computer vision and machine learning development.

In this role, you will work at the intersection of camera simulation, synthetic data generation, ML infrastructure, and computer vision. You will generate high-quality synthetic datasets on demand, configure simulated camera and sensor environments, support ML training and evaluation workflows, and use model performance insights to continuously improve dataset composition.

The ideal candidate combines strong Python and C++ software engineering skills with practical knowledge of camera systems, sensor modeling, image formation, and ML training pipelines. You will collaborate closely with camera architects, ML engineers, and perception teams to deliver reliable simulation data under demanding timelines.

Job Responsibilities

• Run, maintain, and iterate on camera and sensor simulation pipelines to generate synthetic datasets on demand.
• Configure simulation scenes, camera parameters, and sensor models based on customer and camera architect specifications.
• Deliver high-quality training and evaluation datasets to camera architecture, ML, and perception teams within tight development timelines.
• Support ML model training and evaluation workflows, including running training jobs, generating evaluation metrics, and analyzing model performance.
• Translate ML evaluation results and model metrics into actionable changes to dataset composition, simulation parameters, and data generation strategies.
• Validate and quality-check synthetic datasets prior to hand-off, ensuring generated data meets required specifications and quality standards.
• Develop, maintain, and improve simulation tooling, automation, and dataset generation scripts.
• Work with large-scale datasets, including dataset storage, organization, versioning, and reproducibility.
• Troubleshoot simulation, data generation, and ML pipeline issues across Linux-based development environments.
• Collaborate cross-functionally with camera architects, computer vision engineers, ML engineers, and other technical stakeholders to support perception and imaging development.

Must Have Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field.
• 5+ years of software engineering experience, with significant experience supporting or designing ML infrastructure and data pipelines.
• 5+ years of hands-on Python and C++ development.
• Strong understanding of camera and sensor simulation fundamentals, including: Camera intrinsic and extrinsic parameters, Camera setup and calibration, Sensor modeling, Noise sources and sensor characteristics, Conversion gain, Quantum efficiency, Read noise and shot noise, Basic ISP concepts and image formation
• Experience running machine learning training and evaluation workflows, preferably using PyTorch.
• Ability to interpret model evaluation metrics and translate performance results into changes to datasets or simulation configurations.
• Experience with large-scale synthetic dataset generation, storage, management, and versioning.
• Familiarity with Linux development environments and source control systems.
• Experience building ML models, ML pipelines, or ML infrastructure.
• Practical understanding of how camera and sensor simulation systems generate data for computer vision applications.
• Previous AI/ML experience, including experience contributing to or developing ML architectures and pipelines.

Preferred Qualifications

• Experience with rendering engines or simulation frameworks, including Blender, Unreal Engine, Unity, or proprietary/in-house simulation platforms.
• Background in optics, imaging, or computational photography, including concepts such as: Radiometry, Point Spread Function (PSF), Modulation Transfer Function (MTF)
• Experience with camera or ISP tuning.
• Experience developing or evaluating computer vision and perception models.
• Experience working with synthetic data for computer vision, imaging, robotics, AR/VR, autonomous systems, or related applications.
• Experience optimizing simulation pipelines for large-scale or automated dataset generation.

Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Los Angeles Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, qualified applicants will be considered for assignment with arrest and conviction records. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, meet client expectations, standards, and accompanying requirements, and safeguard business operations and company reputation. #TMMT