Senior AI Software Engineer

Company: Cognex Corporation

Location: United States of America

Job Type: Full Time

Job Description

We are looking for an experienced and highly skilled Senior AI Software Engineer to join our innovative team. As an AI Software Engineer, you will be integral in developing pioneering AI and machine learning solutions. Your key responsibilities include designing, implementing, and optimizing AI algorithms and models, and integrating these solutions into software applications.

Responsibilities

• Design, develop, and optimize AI algorithms and models.
• Integrate AI solutions into software applications and systems.
• Collaborate with cross-functional teams for successful project implementation.
• Stay updated with the latest advancements in AI/ML technologies and incorporate them into projects.
• Participate in code reviews, debugging, and troubleshooting to ensure high-quality deliverables.
• Work closely with hardware and software teams to optimize AI applications for various architectures.
• Contribute to the development of best practices, tools, and methodologies for AI development and deployment.
• Communicate effectively with stakeholders to gather requirements and provide project updates.

Education & Experience

• Graduate Degree in Computer Science, Engineering, or a related field.
• 4+ years of relevant work experience in AI and Machine Learning.
• 10+ years of overall work experience, preferably in computer programming, machine learning, algorithms, or statistical methods.

Requirements

• Proficiency in C++ and Python is essential; knowledge of C# is a plus.
• Extensive experience in software integration and build frameworks such as CMake and Visual Studio.
• Familiarity with deploying AI applications on CPU, GPU, and NPU architectures.
• Experience building AI inference applications using Intel OpenVINO; knowledge of Qualcomm AI Stack and AMD ROCm is a plus.
• Proficient in PyTorch, TensorFlow, and ONNX.
• Understanding of AI model architectures like LLMs and LVMs, including LLama2 and Stable Diffusion.
• Passionate about staying up-to-date with the latest AI/ML white papers and trends.
• Experience in MLOps for training and evaluating models using AWS SageMaker or Azure ML.
• Proficiency with version control systems like Git and containerization technologies such as Docker.
• Strong understanding of both Windows and Linux ecosystems.

Benefits

HP offers a comprehensive benefits package, including:

• Dental insurance
• Disability insurance
• Employee assistance program
• Flexible schedule
• Flexible spending account
• Health insurance
• Life insurance

Compensation

Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The typical base pay range for this role across the U.S. is $161,500 - $248,700 annually with additional opportunities for pay in the form of bonuses and/or equity. Pay within this range varies by work location and may depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.

Equal Opportunity Employer (EEO)

HP, Inc. provides equal employment opportunities to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation, or any other characteristic protected by applicable national, federal, state, and local law(s).

Rest assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily and will be kept in strict confidence.

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