Demo

Computer Vision Software Engineer

Toyota Material Handling
Columbus, IN Full Time
POSTED ON 2/16/2025
AVAILABLE BEFORE 4/16/2025

Job Details

Job Description

About Toyota Material Handling

Big Name|Big Opportunities|Life is Better at Toyota

Let Toyota take your career to new heights. Toyota Material Handling provides employees with the opportunity to make a meaningful impact through innovation and creativity in an unmatched culture . Based in Columbus, Indiana, Toyota offers a full line of high-quality material handling equipment and solutions sold under the Toyota brand for over 50 years. We hire great people from a wide array of backgrounds, not just because it is the right thing to do, but because it makes Toyota Material Handling stronger. We seek individuals committed to excellence with talent, skill, and innovation. We offer a generous salary and benefits package with a pleasant and enthusiastic work environment.

Position Summary

This position will be responsible for effectively designing and implementing new computer vision and autonomous robotics solutions. The position requires a technically oriented individual who is a good communicator and enjoys working as part of a team to solve complicated challenges. The engineer that best fits this position is curious, innovative, hardworking, detail-oriented, humble, honest, open-minded and driven to succeed. A successful engineer in this role always puts the customer's needs first, and is engaged in the work they complete, as they recognize the meaningful impact this work will have on society. This engineer takes calculated risks, learns from failures, shares success and strives endlessly to create impactful technological advancements. A strong customer mindset is required to understand problems that users experience and improve safety, quality, efficiency and customer experience. Lastly, the ideal candidate is dynamic, adaptable and is open to taking on new challenges every day.

As a Computer Vision Engineer, this position would be responsible for the development of software projects and supporting components that play a critical role in team development projects and collaborating with other engineers to ensure requirements and functionality of the components as these fit into the larger project. This role would include implementation and understanding of deep learning models and classic computer vision algorithms for optimal execution.

As an Engineer II, responsibilities of this position would include collaboration with others in order to share experience and knowledge and work together to solve development challenges. Creating an environment of learning and communication is instrumental for engineers in this role.

Essential Position Duties
  • Implement existing deep learning models for object detection or other advanced perception.
  • Complete model training and validation to improve performance of deep learning systems.
  • Development of perception projects using C to provide insights and solve challenges for data collection, automation and drive assist systems. Collaborate with other contributors to achieve successful project development.
  • Integrate perception software components and deep learning systems to create prototype systems for automation and driver assist projects.
  • Collaborate in a team environment to share experience and knowledge to grow both individual and team skills.
  • Lead the technical development of components of projects and work with other engineers to ensure project goals. Identify and resolve challenges and work with other engineers to resolve design and architectural challenges.
  • Execute the development of project components while identifying challenges and issues.
  • Work with other engineers to develop the individual and team skills.
  • Develop and implement novel algorithms for advanced safety-critical operator assist features, automation and robotic applications.
  • Work with sensors and other hardware to implement robotics, computer vision and automated solutions.
  • Interface with a team of software, machine learning, embedded, mechanical and electrical engineers to drive multidisciplinary research projects forward.
  • Create and update clear technical documentation for complex systems and processes.
  • Create test plans for hardware and software validation. Analyze results and create documentation and recommendations based on results.
  • Examine edge technologies; create documentation and proposals for new products and tools.
  • Ability to work in a constant state of alertness and safe manner
  • Additional duties as assigned

Education & Experience
  • Requires BS degree or higher in Computer Science, Computer Engineering, Electrical Engineering, Robotics, Mechatronics with experience with software development or requires 5 years of experience in robotics, computer, electrical, software or mechanical engineering with strong proficiency in software development.
  • 3 years of experience developing complex software systems using technologies related to the role
  • Experience with TensorFlow, TensorRT, PyTorch and OpenCV for computer vision applications.
  • Experience with implementation and development of deep learning models.
  • Experience training model weights to improve performance of deep learning performance.
  • Experience with C , Python, C# or object oriented development,
  • Experience with source control tools such as Git
  • Experience with Linux based development environments
  • Experience with hardware interfaces including cameras, LiDAR, embedded controllers, robotic platforms or other systems.


What You'll Get in Return:

Toyota Material Handling offers a comprehensive benefits package for full-time employees which includes:
  • Generous Salary Bonus Program
  • Low Cost Medical with FREE Dental & FREE Vision Insurance options
  • FREE On-site Medical Center
  • FREE On-site Fitness Center Membership
  • 401k Matching (Up to 6%)
  • Generous Paid Time Off (PTO) Allotment
  • Tuition Reimbursement
  • Between 13-14 Paid Holidays
  • New Parent Leave
  • Employee Assistance Program (EAP)
  • Pet Insurance
  • Volunteer Benefits


Learn More about Toyota Material Handling at Follow us on Social Media:
  • LinkedIn: linkedin.com/company/toyota-material-handling
  • Facebook: facebook.com/ToyotaForklift
  • Twitter: com/ToyotaForklift
  • YouTube: youtube.com/user/ToyotaMaterialHdlg
  • Instagram: instagram.com/toyotaforklift/


Affirmative Action Responsibility:

As a proud equal opportunity employer, reasonable accommodations may be available to individuals with disabilities to interview and to perform the essential functions of a role. It is Toyota Material Handling's policy to afford equal employment and advancement opportunity for all qualified individuals without distinction or discrimination because of race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.

Physical Requirements / Working Conditions

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Individuals may need to sit or stand as needed. May require walking primarily on a level surface for periodic periods throughout the day. Reaching above shoulder heights, below the waist or lifting as required to file documents or store materials throughout the work day. Proper lifting techniques required. May include lifting up to 25 pounds for files, computer printouts on occasion. Frequent use of computer and telephone. Primary environment: ambient room temperatures, lighting and traditional office equipment as found in a typical office environment.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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