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H.E.B.

Senior Software Engineer - Computer Vision

austin, TX

Check who can apply and the requirements below before continuing.

About this opportunity

H.E.B. lists this Senior Software Engineer - Computer Vision opportunity in austin, Texas. Review the employer’s description below for duties, qualifications and application requirements.

Job description

Responsibilities

Since H-E-B Digital Technology's inception, we've been investing heavily in our customers' digital experience, reinventing how they find inspiration from food, make food decisions, and ultimately get food into their homes. This is an exciting time to join H-E-B Digital - we're using the best available technologies to deliver modern, engaging, reliable, and scalable experiences to meet the needs of our growing audience.

As a Senior Software Engineer, you'll deliver complex code solutions. You'll support the build and deployment pipeline and when necessary, diagnose / solve production support or on-call issues. You'll contribute to overall system design, architecture, security, scalability, reliability, application performance and provide end-to-end support.

Once you're eligible, you'll become an Owner in the company, so we're looking for commitment, hard work, and focus on quality and customer service. 'Partner-owned' means our most important resources - People - drive the innovation, growth, and success that make H-E-B The Greatest Omnichannel Retailing Company.

Do you have a:

HEART FOR PEOPLE - skills to organize multiple engineers, negotiate solutions, and provide upward communication?

HEAD FOR BUSINESS - consistency in demonstrating / upholding standards of coding, infrastructure, and process?

PASSION FOR RESULTS - capable of high-velocity contributions?

What is your background?

A Computer Science degree or comparable formal training, certification, or work experience

5+ years of experience in software development

Extensive experience in computer vision algorithms (e.g., CNNs, RNNs, image processing, feature extraction, customizing open-source models, etc.)

Proficiency in programming languages such as Python, C++, Java or similar

Hands-on experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, OpenCV, etc.)

Expertise with image processing techniques and tools

Proficiency with deep learning models and GPU acceleration

Proficiency with deploying computer vision models into edge environments

Proficiency with Cloud Technologies such as AWS, GCP, or Azure

Experience working with large datasets and creating integrations to access or share these datasets

Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment

What is the work?

Develop and implement computer vision algorithms for tasks such as object detection, image segmentation, feature extraction, and tracking

Work with large-scale image and video datasets to train, test, and refine models

Optimize models for performance, accuracy, and efficiency, particularly in real-time applications

Collaborate with software engineers to integrate computer vision solutions into product pipelines

Deploy computer vision models into low powered edge environments

Troubleshoot and debug models and systems to ensure robustness and reliability in production

Do you have what it takes to be an H-E-B Senior Software Engineer?

High degree of personal accountability to self and team for continued growth

Adjust - Leverages Agile metrics to improve team performance and deliverables

Evaluates and adjusts resources, self, and team as necessary

Collaborate - Ability to work on tasks which span multiple domains, requiring cross-team collaboration, which have a high impact on your project

Agility - Embraces risk, change, and helps team manage ambiguity within the team's scope of work

Able to drive progress without having a complete picture and can articulate potential tradeoffs and prioritize when faced with ambiguity

Connect - Delivers clear, concise, effective messages across different levels; can tailor communication based on intended audience

Growth Mindset - Fosters a culture of mentoring and coaching across multiple technical teams and other stakeholders

Relate - Fosters a culture within their team where people are encouraged to share their opinions and contribute to discussions in a respectful manner, approach disagreement non-defensively with inquisitiveness, and use contradictory opinions as a basis for constructive, productive conversations

DEVS3232

JDENGINEERING

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Worksite address

austin, TX, 78716, US

Who can apply

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