Leonardo Electronics US Inc
Tucson, Arizona
Job Purpose The Production Systems Manager leads the development, optimization, and long-term sustainment of advanced test processes for semiconductor devices, with a strong emphasis on high power laser diode technologies. This role drives technical strategy, mentors junior engineers, and ensures robust, scalable test solutions that support both high volume manufacturing and new product introduction. Key Responsibilities Own and lead test process development for semiconductor devices including laser diode chips, bars, arrays, and integrated assemblies. Serve as the primary technical expert for troubleshooting complex test and yield issues across production lines. Perform advanced data analysis to characterize device performance, identify systemic issues, and drive long term improvements. Lead validation and implementation of design changes, ensuring test readiness, documentation accuracy, and process stability. Partner with R&D, Product Development, and Operations to guide new product introduction (NPI) from prototype through full scale manufacturing. Architect and optimize automated test equipment (ATE), fixtures, and software to improve throughput, accuracy, and repeatability. Drive yield improvement and cost reduction initiatives, identifying failure modes and recommending design or process enhancements. Champion best practices in test methodology, statistical process control (SPC), and data driven decision making. Mentor and support junior engineers and technicians, providing technical guidance and training. Ensure compliance with quality, safety, and reliability standards across all test operations. Skills & Qualifications: Bachelor's or Master's degree in Electrical Engineering, Physics, Materials Science, or related field. Extensive experience in semiconductor device testing, optoelectronics, or laser diode characterization. Proven ability to diagnose complex test issues and implement engineering level solutions. Strong background with automated test systems, data acquisition, and statistical analysis tools. Deep understanding of semiconductor device physics and optical/electrical performance metrics. Excellent communication skills and demonstrated success working cross functionally. Preferred Skills Experience with high power laser diodes, photonics packaging, or reliability testing. Proficiency in test automation programming (Python, LabVIEW, MATLAB, C/C++). Hands on experience with DOE, SPC, FMEA, and other structured problem solving methodologies. Familiarity with high volume manufacturing environments and continuous improvement frameworks. NOTE: The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed. Leonardo is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability status, protected veteran status, or any other characteristic protected by law. Here are the hiring process steps and what you can expect from us: Step 1: Application Review: Upon submitting your application, it is made available to the recruitment team to review and ensure you meet the basic qualifications. Step 2: Interview: If you have been identified to move forward in the process, you may be invited to participate in a one-on-one or panel interview. The interview format can be a phone call, in-person, or virtual meeting. Step 3: Offer: If you reach this stage of the interview process, congratulations! You will be provided an offer to join the Leonardo Electronics US Inc. team. The offer will include details about your salary, benefits package and start date. PI3251aa44b5-
Job Purpose The Production Systems Manager leads the development, optimization, and long-term sustainment of advanced test processes for semiconductor devices, with a strong emphasis on high power laser diode technologies. This role drives technical strategy, mentors junior engineers, and ensures robust, scalable test solutions that support both high volume manufacturing and new product introduction. Key Responsibilities Own and lead test process development for semiconductor devices including laser diode chips, bars, arrays, and integrated assemblies. Serve as the primary technical expert for troubleshooting complex test and yield issues across production lines. Perform advanced data analysis to characterize device performance, identify systemic issues, and drive long term improvements. Lead validation and implementation of design changes, ensuring test readiness, documentation accuracy, and process stability. Partner with R&D, Product Development, and Operations to guide new product introduction (NPI) from prototype through full scale manufacturing. Architect and optimize automated test equipment (ATE), fixtures, and software to improve throughput, accuracy, and repeatability. Drive yield improvement and cost reduction initiatives, identifying failure modes and recommending design or process enhancements. Champion best practices in test methodology, statistical process control (SPC), and data driven decision making. Mentor and support junior engineers and technicians, providing technical guidance and training. Ensure compliance with quality, safety, and reliability standards across all test operations. Skills & Qualifications: Bachelor's or Master's degree in Electrical Engineering, Physics, Materials Science, or related field. Extensive experience in semiconductor device testing, optoelectronics, or laser diode characterization. Proven ability to diagnose complex test issues and implement engineering level solutions. Strong background with automated test systems, data acquisition, and statistical analysis tools. Deep understanding of semiconductor device physics and optical/electrical performance metrics. Excellent communication skills and demonstrated success working cross functionally. Preferred Skills Experience with high power laser diodes, photonics packaging, or reliability testing. Proficiency in test automation programming (Python, LabVIEW, MATLAB, C/C++). Hands on experience with DOE, SPC, FMEA, and other structured problem solving methodologies. Familiarity with high volume manufacturing environments and continuous improvement frameworks. NOTE: The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed. Leonardo is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability status, protected veteran status, or any other characteristic protected by law. Here are the hiring process steps and what you can expect from us: Step 1: Application Review: Upon submitting your application, it is made available to the recruitment team to review and ensure you meet the basic qualifications. Step 2: Interview: If you have been identified to move forward in the process, you may be invited to participate in a one-on-one or panel interview. The interview format can be a phone call, in-person, or virtual meeting. Step 3: Offer: If you reach this stage of the interview process, congratulations! You will be provided an offer to join the Leonardo Electronics US Inc. team. The offer will include details about your salary, benefits package and start date. PI3251aa44b5-
Ayo Semiconductor
Boston, Massachusetts
Job Description Job Description About Ayo We are a venture-backed early-stage startup developing processors specialized for machine learning. The processor will provide orders or magnitude improvement in speed and power efficiency with a goal of unseating the GPU as the dominant computing platform for AI. The Role We are seeking a deep AI practitioner to join as a founding team member - someone with hands-on experience working on or alongside a foundation model at scale, who understands what happens under the hood when splitting jobs across thousands of GPUs, and who is excited to bring that depth to novel hardware. They have a full-stack understanding of machine learning architectures, love to optimize algorithms across disciplinary boundaries, and will deploy and train models directly on our prototype chips to help us prove out what our processor can do - no prior hardware experience required. What You'll Do: Deploy and run trained models on prototype hardware and digital twins, producing working demonstrations on our chips. Develop and adapt algorithms to train models on novel processing environments, including our prototype hardware. Work with hardware engineers to define and refine processor architecture based on insights learned through model training and experimentation. Maintain a deep curiosity about what makes AI systems work - and bring that curiosity to bear on how they run on new hardware. Support go-to-market strategy development What We're Looking For: PhD in machine learning, representation learning, theory of computation, or a related field - or equivalent industry experience working on foundation models at scale. Experience training models at scale - distributed training across many GPUs, working with large datasets and compute. Has built and trained neural networks from scratch Deep knowledge of the structure and internal operation of neural networks - including how and why they behave the way they do (e.g. interpretability or explainability work is a plus). Excitement about applying deep AI expertise to new and novel hardware environments - you don't need prior experience with photonics or silicon, but you want to learn. Fluent knowledge of Python Fluency in PyTorch (preferred), TensorFlow, JAX, or other industry-standard ML software libraries Why Ayo You'll be a founding AI team member - shaping how we think about and deploy AI as a company. We are working on a genuinely hard and interesting problem: unseating the GPU as the dominant AI compute platform. Early-stage means real ownership, real impact, and meaningful equity. Competitive salary. Equity commensurate with stage and seniority. Benefits package including health, dental, and vision. Fully onsite in Boston - we are a collaborative, in-person team.
Job Description Job Description About Ayo We are a venture-backed early-stage startup developing processors specialized for machine learning. The processor will provide orders or magnitude improvement in speed and power efficiency with a goal of unseating the GPU as the dominant computing platform for AI. The Role We are seeking a deep AI practitioner to join as a founding team member - someone with hands-on experience working on or alongside a foundation model at scale, who understands what happens under the hood when splitting jobs across thousands of GPUs, and who is excited to bring that depth to novel hardware. They have a full-stack understanding of machine learning architectures, love to optimize algorithms across disciplinary boundaries, and will deploy and train models directly on our prototype chips to help us prove out what our processor can do - no prior hardware experience required. What You'll Do: Deploy and run trained models on prototype hardware and digital twins, producing working demonstrations on our chips. Develop and adapt algorithms to train models on novel processing environments, including our prototype hardware. Work with hardware engineers to define and refine processor architecture based on insights learned through model training and experimentation. Maintain a deep curiosity about what makes AI systems work - and bring that curiosity to bear on how they run on new hardware. Support go-to-market strategy development What We're Looking For: PhD in machine learning, representation learning, theory of computation, or a related field - or equivalent industry experience working on foundation models at scale. Experience training models at scale - distributed training across many GPUs, working with large datasets and compute. Has built and trained neural networks from scratch Deep knowledge of the structure and internal operation of neural networks - including how and why they behave the way they do (e.g. interpretability or explainability work is a plus). Excitement about applying deep AI expertise to new and novel hardware environments - you don't need prior experience with photonics or silicon, but you want to learn. Fluent knowledge of Python Fluency in PyTorch (preferred), TensorFlow, JAX, or other industry-standard ML software libraries Why Ayo You'll be a founding AI team member - shaping how we think about and deploy AI as a company. We are working on a genuinely hard and interesting problem: unseating the GPU as the dominant AI compute platform. Early-stage means real ownership, real impact, and meaningful equity. Competitive salary. Equity commensurate with stage and seniority. Benefits package including health, dental, and vision. Fully onsite in Boston - we are a collaborative, in-person team.