Company Overview: Headquartered in Lowell, Massachusetts, MACOM is certified to the ISO9001 international quality standard and ISO14001 environmental management standard. MACOM has multiple design centers, Si, GaAs and InP fabrication, manufacturing, assembly and test, and operational facilities throughout North America, Europe, Asia and Australia. In addition, MACOM offers foundry services that represents a key core competency within our business. The foundry provides access to, and control of our broad range of proprietary technologies in an asset light, cost effective structure. MACOM sells and distributes products globally via a sales channel comprised of a direct field sales force, authorized sales representatives and leading industry distributors. Our sales team is trained across all of our products to give our customers insights into our entire portfolio. Our global organization of skilled engineers is driven every day to solve the world's most demanding wireless and wireline application challenges. We're proud of our more than sixty years' of hands-on experience designing and building analog semiconductor technology across the RF to Light spectrum. Job Description MACOM is looking for a Senior/Principal AI/ML Development Engineer who will play a critical role in the design, development, and deployment of scalable and robust AI/ML solutions within MACOM. You will work with subject matter experts throughout the company to identify opportunities for AI implemented productivity improvement. You will develop custom AI agents and agentic workflows, custom model development and fine tuning, and AI tool integrations to solve bottlenecks, improve efficiency, and enable previously undiscovered opportunities. This role requires demonstrated expertise and experience in AI engineering and deployed solutions. We are looking for someone with the ability to apply their expertise to solve real-world challenges in semiconductor fabrication, RF and mixed signal circuit design, manufacturing operations, and general front and back-office operations. This is an onsite position working out of MACOM's office located in either Lowell, MA, Durham, NC or Morgan Hill, CA. Come be a champion for the adoption and deployment of AI solutionsand help lead MACOM in its next chapter of technology leadership and excellence. Key responsibilities for this role include: Develop and maintain AI platform capabilities that enable scalable, secure, and reusable AI solutions across the enterprise. Design and deploy agentic AI solutions and workflows that incorporate reasoning, planning, and execution to solve discrete problems in impactful ways. Develop large-scale ML model training and fine-tuning pipelines in both on-prem and cloud-based infrastructures. Evaluate available models to assess capability and cost tradeoffs for various applications. Contribute to AI use and development standards, including safety, security and compliance. Collaborate with subject matter experts throughout the company to define potential AI solutions and applications in various domains. Mentor engineers and non-technical staff, and promote best practices in AI use, agentic systems, and generative AI development. Drive innovation and evaluate emerging AI technologies for their potential value to the company. Job Requirements: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related technical field. 5-10 years of hands-on experience in AI/ML engineering, including recent, demonstrated expertise in Generative AI, Agentic AI, and large-scale model training. Expert programming skills in Python and AI/ML frameworks (Pandas, PyTorch, TensorFlow, LangChain, etc.). Expertise in building agentic AI systems and orchestration frameworks with demonstrated success deploying solutions in traditional engineering and manufacturing environments. Strong working knowledge of model providers and development ecosystems (OpenAI, Anthropic, AWS Bedrock, Sagemaker, Hugging Face, etc.) with a focus on cloud-based architectures. Experience creating APIs, reusable components, agents and agent orchestrators for AI solutions. Solid understanding of scalability, cost, and performance optimization for AI workloads. Ability to define and implement standards for AI development, deployment, and governance. Excellent collaboration and communication skills to work across software development, hardware and semiconductor engineering, operations and business teams. Strong background in distributed systems and cloud technologies (AWS, Azure, GCP), including security and compliance considerations. Demonstrated ability to lead technical strategy, mentor engineers, and establish best practices for AI development and governance. Due to ITAR regulations, only candidates who are U.S. Persons (U.S. citizens, U.S. nationals, lawful permanent residents, or individuals granted asylum or refugee status) will be considered for this position. Benefits: This position offers a comprehensive benefits package including but not limited to: Health, dental, and vision insurance. Employer-sponsored 401(k) plan. Paid time off. Professional development opportunities. EEO: MACOM is an Equal Opportunity Employer committed to a diverse workforce. MACOM will not discriminate against any worker or job applicant on the basis of race, color, religion, sex, gender identity, sexual orientation, national origin, age, disability, genetic information, veteran status, military service, marital status, or any other category protected under applicable law. Reasonable Accommodation: MACOM is committed to working with and providing reasonable accommodations to qualified individuals with physical and mental disabilities. If you have a disability and are in need of a reasonable accommodation with respect to any part of the application process please call +1-978-656-2500 or email HR_Ops@MACOM.com. Provide your name, phone number and the position title and location in which you are interested, and nature of accommodation needed, and we will get back to you. We also work with current employees who request or need reasonable accommodation in order to perform the essential functions of their jobs.