AI/ML Development Principal Engineer

Company Overview:MACOM (NASDAQ: MTSI) is a global leader in the design and manufacture of advanced semiconductor products across a diverse range of end markets, including Data Centers, Telecommunications, Industrial and Aerospace and Defense. We develop innovative, cutting-edge technologies and products across the spectrum of radio frequency (RF), microwave, millimeter wave, photonics and high-speed analog technologies. Our solutions support critical network infrastructure applications like artificial intelligence, high performance computing, satellite communications, radar, unmanned aerial vehicles, medical equipment, test and measurement and advanced wireless networks.MACOM has more than 75 years of expertise in semiconductor process development, wafer fabrication, circuit design, advanced packaging, systems architecture and applications engineering. We are committed to our customers’ success. We partner with customers to help solve their most challenging problems by providing semiconductor solutions that are at the forefront of the highest power, highest frequency and/or highest data rates.Leading technologies, innovative products and driven employees. Come be a part of MACOM and help advance the next generation of connectivity infrastructure!Job DescriptionMACOM is looking for an AI/ML Development Senior/Principal Engineer who will play a critical role in the design, development, and deployment of scalable and robust AI agents and agentic solutions throughout the company. You will work with subject matter experts across various business units and functional departments to identify and execute paradigm changing improvements using AI agents, agentic workflows and solutions. You will deploy these AI tool integrations to solve bottlenecks, improve efficiency and productivity, and enable previously undiscovered opportunities.This role requires experience in AI engineering and a record of 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. Join us and be a c hampion for the adoption and deployment of AI solutions and help lead MACOM in its next chapter of technology leadership and excellence.Key Responsibilities include : Develop and maintain AI agents and agentic workflows to address real world challenges across all stages of business, development, and operations. Design and deploy agentic AI solutions and workflows that incorporate reasoning, planning, and execution to solve discrete problems in impactful ways. Assess models for optimal speed, accuracy and cost depending on problem domain and complexity. Develop agentic solutions with flexible architectures that can be used or modified to address similar needs across different business units and functions. Collaborate with subject matter experts throughout the company to define key opportunities to deploy AI solutions and assess roadblocks and solutions, including data quality and format, pipeline, verification and workflows. Mentor engineers and non-technical staff, and promote best practices in AI use, agentic systems, and generative AI development. Job Qualifications/Requirements: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related technical field. 7 to 12 years of hands-on experience in AI engineering, including recent, demonstrated expertise inAgentic AI, Generative AI, agent orchestration and workflows. Expert programming skills in Python and AI development stacks with a focus on agent development. Expertise in building agentic AI systems and orchestration frameworks. Experience deploying solutions in traditional engineering and manufacturing environments is a plus. Strong working knowledge of model providers and development ecosystems (OpenAI, Anthropic, AWS Bedrock, etc.). Solid understanding of scalability, cost, and performance optimization for AI workloads. Excellent collaboration and communication skills to work across software development, hardware and semiconductor engineering, operations and business teams. 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. The Salary Range for this position is $84,000 – $166,000. Actual salary offered to candidate will depend on several factors, including but not limited to, work location, relevant candidates’ experience, education, and specific knowledge, skills, and abilities.This position is eligible to receive restricted stock unit (RSU) awards and cash bonuses, solely at MACOM’s discretion, subject to individual and company performance.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.