Semiconductor Principal Design Engineer Jobs

At United Integrated Services (UIS), we build more than facilities—we build the infrastructure that enables technologies to shape the future. As a global engineering and construction company specializing in the semiconductor industry, UIS brings together talented people, technical expertise, and innovative solutions to deliver the most complex and critical projects in the industry. Our U.S. team is helping build the next generation of advanced semiconductor manufacturing facilities, working alongside some of the world's leading technology companies. Our work requires precision, collaboration, accountability, and a commitment to doing things the right way—from the planning and engineering stages through construction and project completion. As UIS continues to grow, we are building more than projects. We are building teams, developing careers, and creating opportunities for talented professionals to make a meaningful impact. If you are looking for an opportunity to work on challenging projects, grow your career, and be part of something bigger, we invite you to build the future with UIS. WHAT WE OFFER Comprehensive Benefits – Medical, Dental, Vision, Short-Term Disability (STD), Long-Term Disability (LTD), and Life Insurance provided at no cost to employees. Competitive Compensation – Competitive salaries and opportunities for performance-based incentives. Career Growth – Opportunities to develop your skills, take on new challenges, and grow with a rapidly expanding organization, supported by education reimbursement for eligible employees pursuing continued learning and professional development. Meaningful Work – The opportunity to contribute to some of the most advanced semiconductor construction projects in the country. Collaborative Environment – Work alongside experienced professionals across engineering, construction, project management, safety, procurement, and operations. Summary The QA/QC Inspector (Fire) is responsible for conducting fiel

Job Details: Job Description: The Role and Impact Are you ready to make a significant contribution to cutting-edge semiconductor designs? As a DFT Design Engineer, you will play a critical role in shaping the testability, debuggability and reliability of complex SoC (System-on-Chip) designs. You will work closely with cross-functional teams, influencing designs from concept to production, and ensuring our products meet the highest quality standards. In this role, you will develop innovative DFT/DFD methodologies, optimize workflow with AI, and enhance post silicon efficiency. Your work will directly impact Intel's ability to deliver world-class semiconductor solutions that advance technology across industries. Key Responsibilities : Develop and implement advanced DFT methodologies for complex SoC designs to maximize test coverage and efficiency. Collaborate with design, verification, and manufacturing teams to define and optimize post silicon strategies and requirements. Integrate DFT/DFD features into RTL and ensure verification of design for testability requirements. Collaborate with post-silicon teams to debug and validate DFT features. Stay current with emerging trends, AI adoption and technologies in DFT/DFD to ensure best practices are incorporated into workflows. Qualifications: Minimum Qualifications : Bachelor's degree in Electrical Engineering, Computer Engineering, or a related field. 5+ years of experience in DFT, SoC design, or related semiconductor design areas. Expertise in RTL design using hardware description languages like Verilog, VHDL, or SystemVerilog. Preferred Qualifications : Familiar with AI application. Familiarity w

Job Details: Job Description: In this role, you will lead cross-functional collaboration to advance circuit simulation and modeling capabilities for advanced foundry technologies. Your responsibilities will include: Vendor collaboration: Partnering with EDA vendors to enhance and validate industry-standard simulation tools and design flows. Technology alignment: Working closely with technology leaders, VLSI physical design teams, and PDK teams to ensure simulation and modeling capabilities are aligned with roadmap needs. PDK readiness: Driving readiness of high quality simulation and modeling solutions so they are available in time for PDK delivery. Qualifications: You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Minimum Qualifications: Bachelor’s degree in electrical engineering or computer engineering or related engineering discipline with 12&#43; years or master’s degree in electrical engineering or a related discipline and at least 10 years of industry experience in the semiconductor field; or Ph.D. in Electrical Engineering or a related discipline with a minimum of 8 years of industry experience in the semiconductor field. 5&#43; years supporting circuit simulation tools and working with circuit simulation vendors to develop solutions. 5&#43; years collaborating with EDA vendors on optimizing circuit simulation and modeling for advanced technology nodes. 3&#43; years of hands-on experience with BSIM or other compact models for transistor modeling at advanced nodes (e.g., FinFET, GAA).</

At United Integrated Services (UIS), we build more than facilities—we build the infrastructure that enables technologies to shape the future. As a global engineering and construction company specializing in the semiconductor industry, UIS brings together talented people, technical expertise, and innovative solutions to deliver the most complex and critical projects in the industry. Our U.S. team is helping build the next generation of advanced semiconductor manufacturing facilities, working alongside some of the world's leading technology companies. Our work requires precision, collaboration, accountability, and a commitment to doing things the right way—from the planning and engineering stages through construction and project completion. As UIS continues to grow, we are building more than projects. We are building teams, developing careers, and creating opportunities for talented professionals to make a meaningful impact. If you are looking for an opportunity to work on challenging projects, grow your career, and be part of something bigger, we invite you to build the future with UIS. WHAT WE OFFER Comprehensive Benefits – Medical, Dental, Vision, Short-Term Disability (STD), Long-Term Disability (LTD), and Life Insurance provided at no cost to employees. Competitive Compensation – Competitive salaries and opportunities for performance-based incentives. Career Growth – Opportunities to develop your skills, take on new challenges, and grow with a rapidly expanding organization, supported by education reimbursement for eligible employees pursuing continued learning and professional development. Meaningful Work – The opportunity to contribute to some of the most advanced semiconductor construction projects in the country. Collaborative Environment – Work alongside experienced professionals across engineering, construction, project management, safety, procurement, and operations. Summary: The Contract Manager serves as a strategic subcontractor per

About Graphcore At Graphcore, we’re building the future of AI compute.We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence. Job Summary As a research engineer at Graphcore, you will contribute to the advancement of AI research, investigating new ideas that push the limits on important AI/ML problems. Specialised hardware has been the key driver of the progress of AI over the last decade, and we believe that hardware-aware AI algorithms and AI-aware hardware developments will continue to be critical to advancing this exciting field. We are therefore looking for individuals who combine strong machine learning experience with practical engineering skills to deliver impactful AI research. We are seeking AI researchers with strong software engineering experience, particularly in lower-level programming and performance optimisation for hardware efficiency. Our research spans a broad range of topics, including efficient training and inference, world models, life sciences, reinforcement learning, and beyond. You will work closely with researchers to generate ideas and translate them into scalable implementations, contributing to publications and projects that help to steer the future of AI hardware. The Team Graphcore Research participates in both fundamental and applied research, to characterise the computational requirements of machine intelligence a

About Graphcore At Graphcore, we’re building the future of AI compute. We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale. As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence . Job Summary Join our dynamic Software Infrastructure team and take a pivotal role in scaling and managing our infrastructure. You will develop essential tools and services that empower our broader software team. Your contributions will enhance the build, test, deployment, and productisation processes of our Machine Learning Software components. Work with our High-Performance Computing (HPC) AI platforms and gain invaluable experience in distributed systems The Team The Software Infrastructure team provides critical platforms and services for software development teams across the business. Our responsibilities include managing the CI platform and services, build engineering, component integration, and packaging and release systems. We operate in squads, fostering a culture of service ownership and empowerment for our engineers. We focus on long-term engineering solutions and strive to eliminate toil wherever possible. Responsibilities and Duties Develop, own, and maintain tools and services to support AI research and engineering teams Deploy and maintain services with Kubernetes and Docker Manage our Cloud Infrastructure using tools such as Terraform Candidate Profile Essential:

About Graphcore At Graphcore, we’re building the future of AI compute.We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence. Job Summary We are looking for an experienced System Level Test Engineer to join our Product Test and Diagnosis Department (PTD). In this role, you will lead the development and deployment of System Level Test (SLT) solutions for next-generation AI processors. Working closely with cross-functional teams, you will contribute to the design and implementation of SLT hardware, software, automation, and characterization solutions that support silicon bring-up, yield learning, manufacturing readiness, and production deployment. The ideal candidate will possess strong technical depth in semiconductor test and validation, a passion for solving complex engineering challenges, and a strong focus on product quality and manufacturability. The Team The Product Test and Diagnostics team’s role is to detect and manage hardware defects that arise from the manufacture and use of our products. This covers chips, boards and finished systems and takes place both in the manufacturing sites and in the field. Responsibilities and Duties Lead development and deployment of SLT hardware and software solutions supporting silicon bring-up, charac

About Graphcore At Graphcore, we’re building the future of AI compute.We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence. Job Summary As a Senior Machine Learning Engineer in the Applied AI team at Graphcore, you will contribute to advancing AI technology by developing and optimising AI models tailored to our specialised hardware. You will work on large scale systems where performance is critical to the success of our projects. Working closely with the Software development and Research teams, you will play a critical role in identifying opportunities to innovate and differentiate Graphcore’s technology. We seek engineers with strong technical skills and an understanding of AI model implementation at scale, eager to make a tangible impact in this rapidly evolving field. The Team The Applied AI team’s role is to be proxies for our customers, we need to understand the latest AI models, applications, and software to ensure that Graphcore’s technology works seamlessly with the AI ecosystem and at scale. We build reference applications, contribute to key software libraries e.g. optimising kernels for efficiency on our hardware, and collaborate with the Research team to develop and publish novel ideas in domains such as efficient compute, model scaling and distributed training and inference of AI models for multiple modalities and applications. If you're excited about advancing the next gen

About the Team OpenAI develops models that can reason through complex problems and hardware designed for the demands of advanced AI. AI for Chips connects these efforts: applying increasingly capable AI systems to the work of semiconductor engineering. Our goal is to help engineers develop better chips and shorten design cycles. This work brings research, model training, and hardware expertise together to build tools that engineers can use on real designs, with correctness and measurable performance at the center. About the Role We’re hiring a Research Engineer to help OpenAI models solve chip-design problems through reinforcement learning, tool use, and evaluation. You’ll own experiments from the initial idea through implementation and analysis. That means building environments and evaluations, running training, investigating failures, and using the results to decide what to try next. You’ll also build the software needed to make those experiments reliable and reproducible. We value strong coding fundamentals, careful experimental judgment, and the ability to make progress independently. Prior chip-design experience is helpful, but you can learn the domain alongside the team’s hardware specialists. In this role, you will: Build RL environments and evaluations for tasks such as RTL generation, design verification, and physical design optimization. Develop and test approaches that help models use chip-design tools and improve power, performance, and area while preserving correctness. Design experiments, establish baselines, and measure whether improvements hold up on new tasks and designs. Investigate failures across model behavior, rewards, evaluation tools, and experiment infrastructure. Improve iteration speed through better tooling, faster evaluations, and proxy rewards that reflect the outcomes we care about. Turn successful experiments into reusable research code and training workflows, working closely with researchers and engineers. You might thrive in this ro

About the Team OpenAI develops models that can reason through complex problems and hardware designed for the demands of advanced AI. AI for Chips connects these efforts: applying increasingly capable AI systems to the work of semiconductor engineering. Our goal is to help engineers develop better chips and shorten design cycles. This work brings research, model training, and hardware expertise together to build tools that engineers can use on real designs, with correctness and measurable performance at the center. About the Role We’re hiring a Software Engineer to build the research infrastructure and tooling that help OpenAI models design silicon. You’ll turn chip-design workflows into reliable environments for reinforcement learning and evaluation, and make it easier for researchers to run experiments and iterate on new ideas. You’ll move between software engineering, tool integration, and open research problems. We value strong coding fundamentals, clear technical judgment, and independent execution. Prior chip-design experience is helpful, but you can learn the domain alongside the team’s hardware specialists. In this role, you will: Build and maintain infrastructure for reinforcement learning environments, evaluations, and long-running experiments. Integrate electronic design automation (EDA) tools into workflows for RTL generation, verification, and physical design optimization. Improve experiment reliability, reproducibility, observability, and performance; debug failures across tools, services, and infrastructure. Develop tooling and model harnesses that let researchers test ideas quickly and measure correctness and power, performance, and area (PPA). Collaborate with researchers and engineers to turn successful experiments into reusable systems and training workflows. Own ambiguous projects end to end, communicate progress, and use results to guide the next iteration. You might thrive in this role if you: Have strong software engineering fundamentals, with

About the Role We’re seeking an Associate General Counsel to lead commercial legal strategy and execution for OpenAI’s silicon initiatives and the semiconductor ecosystem that supports our AI infrastructure. This is a senior, highly cross-functional role for a lawyer who can advise business and technical leaders across the semiconductor development, manufacturing, and supply lifecycle. The role will partner closely with silicon engineering, infrastructure, strategic sourcing, supply chain, manufacturing, finance, partnerships, IP, policy, regulatory, and trade compliance teams to structure and negotiate strategic arrangements with semiconductor ecosystem partners, technology providers, and critical suppliers. This person will help establish the commercial frameworks needed to protect OpenAI’s technology and support resilient, scalable commercial arrangements. We’re looking for an experienced technology transactions lawyer with meaningful semiconductor industry experience who can translate highly technical and operational issues into practical commercial structures. The ideal candidate combines strong judgment, commercial creativity, and the ability to lead complex, high-value transactions in a fast-moving and complex global ecosystem. This role is based in San Francisco, CA. We use a hybrid work model of 3-days in the office per week and offer relocation assistance to new employees. This role will: Lead commercial legal strategy and risk management for OpenAI’s silicon and related technology initiatives. Advise senior business, engineering, sourcing, and operational stakeholders on strategic relationships, commercial priorities, and complex transactions. Draft, negotiate, and advise on sophisticated development, manufacturing, supply, licensing, services, and strategic partnership agreements. Structure commercial arrangements that support long-term business and operational requirements. Advise on the commercial and operational issues that arise across the developmen

Job Details: Job Description: As one of the world's largest semiconductor manufacturers, Intel is committed to advancing every aspect of semiconductor technology, from process development and manufacturing to advanced packaging and reliability characterization. Employees within Intel Foundry are part of a global network spanning technology development, manufacturing, assembly, test, and quality organizations across both front-end silicon and advanced packaging facilities. You will join the Foundry Lab Network (FLN), a key organization within Foundry Quality, Reliability, and Labs (FQRL), located at Intel's growing Chandler, Arizona site. This site serves as the technology development hub for Intel's most advanced packaging technologies, including Hybrid Bond Interconnect (HBI), Embedded Multi-die Interconnect Bridge (EMIB-T), glass substrates, Foveros, and future advanced packaging innovations. FLN is actively expanding its laboratory capabilities and capacity to support Intel Foundry's roadmap, enabling faster technology qualification and accelerating development cycles through Quick Turn Monitoring (QTM) solutions that significantly reduce time-to-data. As the Stress Test and Reliability (STaR) Back-End Laboratory Manager, you will play a critical leadership role within FLN. You will partner closely with Packaging Technology Development, Quality and Reliability, and Failure Analysis teams to establish and enhance laboratory capabilities that support qualification and certification of next-generation packaging technologies and products. This position offers a unique combination of people leadership, technical problem solving, and organizational strategy. You will lead a team of 7-10 talented engineers, spearhead cross-functional efforts to resolve complex reliability and technology challenges, drive strong quality and operati

NVIDIA has an outstanding opportunity for a Materials Planning Management to join our Procurement Management team in Yokneam, IL. This role offers an exceptional chance to be at the forefront of transforming our supply chain into a digitally optimized operation. You will drive cross-functional initiatives that improve execution and strengthen coordination across the materials supply chain What You Will Be Doing: Own the end-to-end supply chain and procurement readiness for the NPI phase, ensuring a smooth transition from NPI to full-scale Mass Production (MP). Ensure material readiness to support program achievements, including production ramp-up, and full-scale manufacturing. Proactively identify and resolve supply constraints, lead-time risks, and BOM gaps that could jeopardize a successful MP ramp. Lead cross-functional readiness reviews, driving alignment between Engineering, Operations, CM, and procurement stakeholders. Monitor and track Single-source parts, proactively identifying supply chain risks and escalating the need for dual/multi-manufacturer strategies to ensure supply continuity. Collaborate cross-functionally with Planning and Business Units to drive demand analysis across NPI and high-volume production portfolios Drive innovation in supply chain analytics by deploying BI and AI solutions to improve CM reporting accuracy, strengthen supply–demand alignment, and enable predictive, insight-based decision-making What We Need To See: B.Sc. in Industrial Engineering , related field or equivalent experience Minimum of 5&#43; overall years of experience in materials management, procurement, or supply chain management within a semiconductor OEM environment. Strong understanding of supply chain processes, NPI cycles, and material planning systems. Strong technical knowledge of semiconductor materials and contract manu

Job Details: Job Description: Intel Foundry is building the future of semiconductor manufacturing. As Intel continues to accelerate its foundry strategy, we are seeking an exceptional Factory Manager to help lead one of the world's most sophisticated semiconductor manufacturing operations. This executive leadership role will oversee a large-scale manufacturing organization responsible for delivering world-class safety, quality, yield, velocity, cost, and customer commitments while helping shape the future of advanced semiconductor manufacturing. This is a rare opportunity to lead at the intersection of manufacturing excellence, technology innovation, and business performance. Why This Role Matters Intel already possesses deep manufacturing expertise. What makes this opportunity unique is the need for a leader who can combine operational excellence with a proven ability to drive manufacturing performance through yield improvement, technology ramp execution, and large-scale organizational leadership. We are looking for an executive who understands the physics behind semiconductor manufacturing, can lead thousands of employees through complexity and change, and has successfully transitioned advanced technologies from development into high-volume production. Candidates who can demonstrate ownership of both factory operations and yield performance will be especially compelling. What You'll Do Lead a large-scale semiconductor manufacturing organization supporting advanced process technologies. Drive safety, quality, die yield, line yield, productivity, velocity, cost, and customer commitments. Lead technology transfer, qualification, and manufacturing ramp activities from development through high-volume production. Partner closely with technology development,

Job Details: Job Description: This position is in the Intel Mask Operations within the Logic Technology Development team working in one of the most advanced semiconductor process technologies in the world. In this position the engineer will be an integral contributor to the ongoing production of photolithography masks for Intel's leading-edge silicon manufacturing solutions. In this position, you will work on-site, in a dynamic and collaborative environment solving complex and challenging technical problems on sophisticated manufacturing processes and equipment. As IMO module Engineer the responsibilities may include but not limited to: Process equipment installation and development. Equipment maintenance, management of troubleshooting activities, regular monitoring of process performance, defect analysis and reduction. Drives improvements on quality, reliability, cost, yield, process stability/capability, productivity, and safety/ergonomics. Working with cross functional teams to solve technical process and defect issues. Plans and conducts experiments to fully characterize the process throughout the development cycle. Establishes control systems to optimize and sustain production performance. Develops strategies to resolve difficult problems and establishes systems to manage these problems in the future. An ideal candidate should exhibit the below behavioral traits: Experience with rapid analysis of complex process issues and identification of a solution path Willing to work Independently with minimal direction, to be self-directing and show initiative Communication skills and demonstrated ability to summarize complex d