Senior AI Software Engineer

We are seeking a highly skilled and experienced AI Software Engineer to join our dynamic team. As an AI Software Engineer, you will play a crucial role in developing cutting-edge AI and machine learning solutions. Your responsibilities will include designing, implementing, and optimizing AI algorithms and models, as well as integrating them 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 to ensure successful project implementation.

• Stay updated with the latest advancements in AI/ML technologies and incorporate them into projects when applicable.

• 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 any other related field.
• 4+ years of relevant work experience in AI and Machine Learning. 10+ years of overall work experience, preferably in computer programming languages, machine learning, algorithms, statistical methods, or a related field.

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.

• Passion for 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.

HP offers a comprehensive benefits package, including:

• Dental insurance

• Disability insurance

• Employee assistance program

• Flexible schedule

• Flexible spending account

• Health insurance

• Life insurance

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 $161500 - $248700 annually with additional opportunities for pay in the form of bonus and/or equity. Pay within this range varies by work location and may also 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.