Senior Computer Vision Application Engineer

Los Altos, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Robotics, Manufacturing, AutomotiveIndustries

Requirements

Candidates should possess a Bachelor's degree in software engineering, electrical engineering, robotics, or a related field, and a minimum of 6-10 years of industry experience in deploying computer vision or ML-based systems. Proficiency in Python and C++ is required, along with strong software engineering fundamentals. Experience with camera calibration (intrinsics and extrinsics) and familiarity with Git-based CI/CD workflows are also necessary.

Responsibilities

As a Computer Vision Application Engineer, you will evaluate and integrate computer vision algorithms into customer-specific robotics applications, develop tools and infrastructure for camera calibration, data pipelines, and system monitoring, define and install optimal camera and lighting configurations for early deployments, tune deployed systems for image quality and performance, manage contractors for hardware component installation, contribute to internal ML model management tooling, lead end-to-end software deployment processes, collect and analyze performance metrics, and produce clear documentation to support future scaling and customer enablement.

Skills

Computer Vision

Robotics

Software Engineering

System Integration

Camera Calibration

Data Pipelines

MLOps

RGB

Depth Sensing

Lighting Configuration

Toyota Research Institute

Research in mobility, safety, and automation

About Toyota Research Institute

Toyota Research Institute focuses on improving mobility through research and development in the automotive and technology sectors. The company works on enhancing safety, automated driving, robotics, materials science, and machine learning. Their products include advanced safety features and automated driving systems that aim to make driving safer and more efficient. Unlike many competitors, TRI emphasizes a research-driven approach, collaborating with various partners and licensing their innovations to enhance Toyota's offerings and maintain a competitive edge. The goal of TRI is to advance mobility solutions that improve quality of life and support the transition to zero-emissions transportation.

Los Altos, CaliforniaHeadquarters

2016Year Founded

$100MTotal Funding

SEEDCompany Stage

Robotics & Automation, Automotive & Transportation, AI & Machine LearningIndustries

201-500Employees

Benefits

Highly competitive benefits package

Robust programs to support the wellbeing, happiness, and health of our people and their families.

401(k) plan including matching and annual profit sharing along with total vacation and holidays totaling 38 days per year.

Subsidized commuter benefits and generous employee and vehicle allowances

2 paid days per year to participate in volunteer activities.

Maternity Leave program with 10 paid weeks plus baby bonding leave and Milk Stork for traveling moms

Baby Bonding Leave–an additional 16 paid weeks–to all new parents, including those who choose to adopt.

Back-up child and adult / elder care programs to help everyone thrive

WellBeats Virtual Fitness Trainer.

Risks

Public skepticism may undermine AI-assisted driving safety initiatives.

Boston Dynamics' high costs could impact TRI's humanoid robot project returns.

Complexity of real-world environments may delay TRI's robot skill deployment.

Differentiation

TRI focuses on AI to enhance human life and mobility.

Partnerships with Boston Dynamics and Stanford showcase TRI's collaborative innovation.

TRI's Driving Sensei concept integrates AI to improve driver skills and engagement.

Upsides

Generative AI allows TRI's robots to learn complex tasks without new coding.

TRI's AI-driven material synthesis could revolutionize EV battery development.

Autonomous tandem drifting collaboration with Stanford pushes vehicle dynamics boundaries.

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